Table (cudfjni 24.10.1 API)

java.lang.Object
- ai.rapids.cudf.Table

All Implemented Interfaces:

AutoCloseable
```
public final class Table
extends Object
implements AutoCloseable
```
Class to represent a collection of ColumnVectors and operations that can be performed on them collectively. The refcount on the columns will be increased once they are passed in

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`static class`	`Table.DuplicateKeepOption` Enum to specify which of duplicate rows/elements will be copied to the output.
`static class`	`Table.GroupByOperation` Class representing groupby operations
`static class`	`Table.TableOperation`
`static class`	`Table.TestBuilder` Create a table on the GPU with data from the CPU.

Constructor Summary

Constructors
Constructor and Description
`Table(ColumnVector... columns)` Table class makes a copy of the array of `ColumnVector`s passed to it.
`Table(long[] cudfColumns)` Create a Table from an array of existing on device cudf::column pointers.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`close()`
`static Table`	`concatenate(Table... tables)` Concatenate multiple tables together to form a single table.
`GatherMap[]`	`conditionalFullJoinGatherMaps(Table rightTable, CompiledExpression condition)` Computes the gather maps that can be used to manifest the result of a full join between two tables when a conditional expression is true.
`GatherMap[]`	`conditionalInnerJoinGatherMaps(Table rightTable, CompiledExpression condition)` Computes the gather maps that can be used to manifest the result of an inner join between two tables when a conditional expression is true.
`GatherMap[]`	`conditionalInnerJoinGatherMaps(Table rightTable, CompiledExpression condition, long outputRowCount)` Computes the gather maps that can be used to manifest the result of an inner join between two tables when a conditional expression is true.
`long`	`conditionalInnerJoinRowCount(Table rightTable, CompiledExpression condition)` Computes the number of rows from the result of an inner join between two tables when a conditional expression is true.
`GatherMap`	`conditionalLeftAntiJoinGatherMap(Table rightTable, CompiledExpression condition)` Computes the gather map that can be used to manifest the result of a left anti join between two tables when a conditional expression is true.
`GatherMap`	`conditionalLeftAntiJoinGatherMap(Table rightTable, CompiledExpression condition, long outputRowCount)` Computes the gather map that can be used to manifest the result of a left anti join between two tables when a conditional expression is true.
`long`	`conditionalLeftAntiJoinRowCount(Table rightTable, CompiledExpression condition)` Computes the number of rows from the result of a left anti join between two tables when a conditional expression is true.
`GatherMap[]`	`conditionalLeftJoinGatherMaps(Table rightTable, CompiledExpression condition)` Computes the gather maps that can be used to manifest the result of a left join between two tables when a conditional expression is true.
`GatherMap[]`	`conditionalLeftJoinGatherMaps(Table rightTable, CompiledExpression condition, long outputRowCount)` Computes the gather maps that can be used to manifest the result of a left join between two tables when a conditional expression is true.
`long`	`conditionalLeftJoinRowCount(Table rightTable, CompiledExpression condition)` Computes the number of rows from the result of a left join between two tables when a conditional expression is true.
`GatherMap`	`conditionalLeftSemiJoinGatherMap(Table rightTable, CompiledExpression condition)` Computes the gather map that can be used to manifest the result of a left semi join between two tables when a conditional expression is true.
`GatherMap`	`conditionalLeftSemiJoinGatherMap(Table rightTable, CompiledExpression condition, long outputRowCount)` Computes the gather map that can be used to manifest the result of a left semi join between two tables when a conditional expression is true.
`long`	`conditionalLeftSemiJoinRowCount(Table rightTable, CompiledExpression condition)` Computes the number of rows from the result of a left semi join between two tables when a conditional expression is true.
`ContiguousTable[]`	`contiguousSplit(int... indices)` Split a table at given boundaries, but the result of each split has memory that is laid out in a contiguous range of memory.
`Table`	`crossJoin(Table right)` Joins two tables all of the left against all of the right.
`int`	`distinctCount()` Count how many rows in the table are distinct from one another.
`int`	`distinctCount(NullEquality nullsEqual)` Count how many rows in the table are distinct from one another.
`Table`	`dropDuplicates(int[] keyColumns, Table.DuplicateKeepOption keep, boolean nullsEqual)` Copy rows of the current table to an output table such that duplicate rows in the key columns are ignored (i.e., only one row from the duplicate ones will be copied).
`Table`	`explode(int index)` Explodes a list column's elements.
`Table`	`explodeOuter(int index)` Explodes a list column's elements.
`Table`	`explodeOuterPosition(int index)` Explodes a list column's elements retaining any null entries or empty lists and includes a position column.
`Table`	`explodePosition(int index)` Explodes a list column's elements and includes a position column.
`Table`	`filter(ColumnView mask)` Filters this table using a column of boolean values as a mask, returning a new one.
`static Table`	`fromPackedTable(ByteBuffer metadata, DeviceMemoryBuffer data)` Construct a table from a packed representation.
`GatherMap[]`	`fullJoinGatherMaps(HashJoin rightHash)` Computes the gather maps that can be used to manifest the result of a full equi-join between two tables.
`GatherMap[]`	`fullJoinGatherMaps(HashJoin rightHash, long outputRowCount)` Computes the gather maps that can be used to manifest the result of a full equi-join between two tables.
`GatherMap[]`	`fullJoinGatherMaps(Table rightKeys, boolean compareNullsEqual)` Computes the gather maps that can be used to manifest the result of an full equi-join between two tables.
`long`	`fullJoinRowCount(HashJoin rightHash)` Computes the number of rows resulting from a full equi-join between two tables.
`Table`	`gather(ColumnView gatherMap)` Gathers the rows of this table according to `gatherMap` such that row "i" in the resulting table's columns will contain row "gatherMap[i]" from this table.
`Table`	`gather(ColumnView gatherMap, OutOfBoundsPolicy outOfBoundsPolicy)` Gathers the rows of this table according to `gatherMap` such that row "i" in the resulting table's columns will contain row "gatherMap[i]" from this table.
`ColumnVector`	`getColumn(int index)` Return the `ColumnVector` at the specified index.
`static TableWriter`	`getCSVBufferWriter(CSVWriterOptions options, HostBufferConsumer bufferConsumer)`
`static TableWriter`	`getCSVBufferWriter(CSVWriterOptions options, HostBufferConsumer bufferConsumer, HostMemoryAllocator hostMemoryAllocator)`
`long`	`getDeviceMemorySize()` Returns the Device memory buffer size.
`long`	`getNativeView()` Return the native table view handle for this table
`int`	`getNumberOfColumns()`
`long`	`getRowCount()`
`Table.GroupByOperation`	`groupBy(GroupByOptions groupByOptions, int... indices)` Returns aggregate operations grouped by columns provided in indices
`Table.GroupByOperation`	`groupBy(int... indices)` Returns aggregate operations grouped by columns provided in indices with default options as below: - null is considered as key while grouping.
`GatherMap[]`	`innerDistinctJoinGatherMaps(Table rightKeys, boolean compareNullsEqual)` Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables where the right table is guaranteed to not contain any duplicated join keys.
`GatherMap[]`	`innerJoinGatherMaps(HashJoin rightHash)` Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables.
`GatherMap[]`	`innerJoinGatherMaps(HashJoin rightHash, long outputRowCount)` Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables.
`GatherMap[]`	`innerJoinGatherMaps(Table rightKeys, boolean compareNullsEqual)` Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables.
`long`	`innerJoinRowCount(HashJoin otherHash)` Computes the number of rows resulting from an inner equi-join between two tables.
`ColumnVector`	`interleaveColumns()` Interleave all columns into a single column.
`GatherMap`	`leftAntiJoinGatherMap(Table rightKeys, boolean compareNullsEqual)` Computes the gather map that can be used to manifest the result of a left anti-join between two tables.
`GatherMap`	`leftDistinctJoinGatherMap(Table rightKeys, boolean compareNullsEqual)` Computes a gather map that can be used to manifest the result of a left equi-join between two tables where the right table is guaranteed to not contain any duplicated join keys.
`GatherMap[]`	`leftJoinGatherMaps(HashJoin rightHash)` Computes the gather maps that can be used to manifest the result of a left equi-join between two tables.
`GatherMap[]`	`leftJoinGatherMaps(HashJoin rightHash, long outputRowCount)` Computes the gather maps that can be used to manifest the result of a left equi-join between two tables.
`GatherMap[]`	`leftJoinGatherMaps(Table rightKeys, boolean compareNullsEqual)` Computes the gather maps that can be used to manifest the result of a left equi-join between two tables.
`long`	`leftJoinRowCount(HashJoin rightHash)` Computes the number of rows resulting from a left equi-join between two tables.
`GatherMap`	`leftSemiJoinGatherMap(Table rightKeys, boolean compareNullsEqual)` Computes the gather map that can be used to manifest the result of a left semi-join between two tables.
`ColumnVector`	`lowerBound(boolean[] areNullsSmallest, Table valueTable, boolean[] descFlags)` Find smallest indices in a sorted table where values should be inserted to maintain order.
`ColumnVector`	`lowerBound(Table valueTable, OrderByArg... args)` Find smallest indices in a sorted table where values should be inserted to maintain order.
`ChunkedPack`	`makeChunkedPack(long bounceBufferSize)` Create an instance of `ChunkedPack` which can be used to pack this table contiguously in memory utilizing a bounce buffer of size `bounceBufferSize`.
`ChunkedPack`	`makeChunkedPack(long bounceBufferSize, RmmDeviceMemoryResource tempMemoryResource)` Create an instance of `ChunkedPack` which can be used to pack this table contiguously in memory utilizing a bounce buffer of size `bounceBufferSize`.
`static Table`	`merge(List<Table> tables, OrderByArg... args)` Merge multiple already sorted tables keeping the sort order the same.
`static Table`	`merge(Table[] tables, OrderByArg... args)` Merge multiple already sorted tables keeping the sort order the same.
`static GatherMap[]`	`mixedFullJoinGatherMaps(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality)` Computes the gather maps that can be used to manifest the result of a full join between two tables using a mix of equality and inequality conditions.
`static GatherMap[]`	`mixedInnerJoinGatherMaps(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality)` Computes the gather maps that can be used to manifest the result of an inner join between two tables using a mix of equality and inequality conditions.
`static GatherMap[]`	`mixedInnerJoinGatherMaps(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality, MixedJoinSize joinSize)` Computes the gather maps that can be used to manifest the result of an inner join between two tables using a mix of equality and inequality conditions.
`static MixedJoinSize`	`mixedInnerJoinSize(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality)` Computes output size information for an inner join between two tables using a mix of equality and inequality conditions.
`static GatherMap`	`mixedLeftAntiJoinGatherMap(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality)` Computes the gather map that can be used to manifest the result of a left anti join between two tables using a mix of equality and inequality conditions.
`static GatherMap[]`	`mixedLeftJoinGatherMaps(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality)` Computes the gather maps that can be used to manifest the result of a left join between two tables using a mix of equality and inequality conditions.
`static GatherMap[]`	`mixedLeftJoinGatherMaps(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality, MixedJoinSize joinSize)` Computes the gather maps that can be used to manifest the result of a left join between two tables using a mix of equality and inequality conditions.
`static MixedJoinSize`	`mixedLeftJoinSize(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality)` Computes output size information for a left join between two tables using a mix of equality and inequality conditions.
`static GatherMap`	`mixedLeftSemiJoinGatherMap(Table leftKeys, Table rightKeys, Table leftConditional, Table rightConditional, CompiledExpression condition, NullEquality nullEquality)` Computes the gather map that can be used to manifest the result of a left semi join between two tables using a mix of equality and inequality conditions.
`Table.TableOperation`	`onColumns(int... indices)`
`Table`	`orderBy(OrderByArg... args)` Orders the table using the sortkeys returning a new allocated table.
`PartitionedTable`	`partition(ColumnView partitionMap, int numberOfPartitions)` Partition this table using the mapping in partitionMap.
`static TableWithMeta`	`readAndInferJSON(JSONOptions opts, DataSource ds)` Read JSON formatted data and infer the column names and schema.
`static StreamedTableReader`	`readArrowIPCChunked(ArrowIPCOptions options, File inputFile)` Get a reader that will return tables.
`static StreamedTableReader`	`readArrowIPCChunked(ArrowIPCOptions options, HostBufferProvider provider)`
`static StreamedTableReader`	`readArrowIPCChunked(ArrowIPCOptions options, HostBufferProvider provider, HostMemoryAllocator hostMemoryAllocator)` Get a reader that will return tables.
`static StreamedTableReader`	`readArrowIPCChunked(File inputFile)` Get a reader that will return tables.
`static StreamedTableReader`	`readArrowIPCChunked(HostBufferProvider provider)` Get a reader that will return tables.
`static Table`	`readAvro(AvroOptions opts, byte[] buffer)` Read Avro formatted data.
`static Table`	`readAvro(AvroOptions opts, byte[] buffer, long offset, long len)`
`static Table`	`readAvro(AvroOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)` Read Avro formatted data.
`static Table`	`readAvro(AvroOptions opts, DataSource ds)`
`static Table`	`readAvro(AvroOptions opts, File path)` Read an Avro file.
`static Table`	`readAvro(AvroOptions opts, HostMemoryBuffer buffer, long offset, long len)` Read Avro formatted data.
`static Table`	`readAvro(byte[] buffer)` Read Avro formatted data.
`static Table`	`readAvro(File path)` Read an Avro file using the default AvroOptions.
`static Table`	`readCSV(Schema schema, byte[] buffer)` Read CSV formatted data using the default CSVOptions.
`static Table`	`readCSV(Schema schema, CSVOptions opts, byte[] buffer)` Read CSV formatted data.
`static Table`	`readCSV(Schema schema, CSVOptions opts, byte[] buffer, long offset, long len)`
`static Table`	`readCSV(Schema schema, CSVOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)` Read CSV formatted data.
`static Table`	`readCSV(Schema schema, CSVOptions opts, DataSource ds)`
`static Table`	`readCSV(Schema schema, CSVOptions opts, File path)` Read a CSV file.
`static Table`	`readCSV(Schema schema, CSVOptions opts, HostMemoryBuffer buffer, long offset, long len)` Read CSV formatted data.
`static Table`	`readCSV(Schema schema, File path)` Read a CSV file using the default CSVOptions.
`static TableWithMeta`	`readJSON(JSONOptions opts, HostMemoryBuffer buffer, long offset, long len)` Read JSON formatted data and infer the column names and schema.
`static Table`	`readJSON(Schema schema, byte[] buffer)` Read JSON formatted data using the default JSONOptions.
`static Table`	`readJSON(Schema schema, File path)` Read a JSON file using the default JSONOptions.
`static Table`	`readJSON(Schema schema, JSONOptions opts, byte[] buffer)` Read JSON formatted data.
`static Table`	`readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len)`
`static Table`	`readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)` Read JSON formatted data.
`static Table`	`readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator, int emptyRowCount)` Read JSON formatted data.
`static Table`	`readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len, int emptyRowCount)`
`static Table`	`readJSON(Schema schema, JSONOptions opts, DataSource ds)` Read JSON formatted data.
`static Table`	`readJSON(Schema schema, JSONOptions opts, DataSource ds, int emptyRowCount)` Read JSON formatted data.
`static Table`	`readJSON(Schema schema, JSONOptions opts, File path)` Read a JSON file.
`static Table`	`readJSON(Schema schema, JSONOptions opts, HostMemoryBuffer buffer, long offset, long len)` Read JSON formatted data.
`static Table`	`readJSON(Schema schema, JSONOptions opts, HostMemoryBuffer buffer, long offset, long len, int emptyRowCount)` Read JSON formatted data.
`static Table`	`readORC(byte[] buffer)` Read ORC formatted data.
`static Table`	`readORC(File path)` Read a ORC file using the default ORCOptions.
`static Table`	`readORC(ORCOptions opts, byte[] buffer)` Read ORC formatted data.
`static Table`	`readORC(ORCOptions opts, byte[] buffer, long offset, long len)`
`static Table`	`readORC(ORCOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)` Read ORC formatted data.
`static Table`	`readORC(ORCOptions opts, DataSource ds)`
`static Table`	`readORC(ORCOptions opts, File path)` Read a ORC file.
`static Table`	`readORC(ORCOptions opts, HostMemoryBuffer buffer, long offset, long len)` Read ORC formatted data.
`static Table`	`readParquet(byte[] buffer)` Read parquet formatted data.
`static Table`	`readParquet(File path)` Read a Parquet file using the default ParquetOptions.
`static Table`	`readParquet(ParquetOptions opts, byte[] buffer)` Read parquet formatted data.
`static Table`	`readParquet(ParquetOptions opts, byte[] buffer, long offset, long len)`
`static Table`	`readParquet(ParquetOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)` Read parquet formatted data.
`static Table`	`readParquet(ParquetOptions opts, DataSource ds)`
`static Table`	`readParquet(ParquetOptions opts, File path)` Read a Parquet file.
`static Table`	`readParquet(ParquetOptions opts, HostMemoryBuffer buffer, long offset, long len)` Read parquet formatted data.
`Table`	`repeat(ColumnView counts)` Create a new table by repeating each row of this table.
`Table`	`repeat(int count)` Repeat each row of this table count times.
`PartitionedTable`	`roundRobinPartition(int numberOfPartitions, int startPartition)` Round-robin partition a table into the specified number of partitions.
`ColumnVector`	`rowBitCount()` Returns an approximate cumulative size in bits of all columns in the `table_view` for each row.
`Table`	`sample(long n, boolean replacement, long seed)` Gather `n` samples from table randomly Note: does not preserve the ordering Example: input: {col1: {1, 2, 3, 4, 5}, col2: {6, 7, 8, 9, 10}} n: 3 replacement: false output: {col1: {3, 1, 4}, col2: {8, 6, 9}} replacement: true output: {col1: {3, 1, 1}, col2: {8, 6, 6}} throws "logic_error" if `n` > table rows and `replacement` == FALSE.
`Table`	`scatter(ColumnView scatterMap, Table target)` Scatters values from the source table into the target table out-of-place, returning a new result table.
`static Table`	`scatter(Scalar[] source, ColumnView scatterMap, Table target)` Scatters values from the source rows into the target table out-of-place, returning a new result table.
`ColumnVector`	`sortOrder(OrderByArg... args)` Get back a gather map that can be used to sort the data.
`String`	`toString()`
`ColumnVector`	`upperBound(boolean[] areNullsSmallest, Table valueTable, boolean[] descFlags)` Find largest indices in a sorted table where values should be inserted to maintain order.
`ColumnVector`	`upperBound(Table valueTable, OrderByArg... args)` Find largest indices in a sorted table where values should be inserted to maintain order.
`static TableWriter`	`writeArrowIPCChunked(ArrowIPCWriterOptions options, File outputFile)` Get a table writer to write arrow IPC data to a file.
`static TableWriter`	`writeArrowIPCChunked(ArrowIPCWriterOptions options, HostBufferConsumer consumer)`
`static TableWriter`	`writeArrowIPCChunked(ArrowIPCWriterOptions options, HostBufferConsumer consumer, HostMemoryAllocator hostMemoryAllocator)` Get a table writer to write arrow IPC data and handle each chunk with a callback.
`static void`	`writeColumnViewsToParquet(ParquetWriterOptions options, HostBufferConsumer consumer, ColumnView... columnViews)`
`static void`	`writeColumnViewsToParquet(ParquetWriterOptions options, HostBufferConsumer consumer, HostMemoryAllocator hostMemoryAllocator, ColumnView... columnViews)` This is an evolving API and most likely be removed in future releases.
`void`	`writeCSVToFile(CSVWriterOptions options, String outputPath)`
`static TableWriter`	`writeORCChunked(ORCWriterOptions options, File outputFile)` Get a table writer to write ORC data to a file.
`static TableWriter`	`writeORCChunked(ORCWriterOptions options, HostBufferConsumer consumer)`
`static TableWriter`	`writeORCChunked(ORCWriterOptions options, HostBufferConsumer consumer, HostMemoryAllocator hostMemoryAllocator)` Get a table writer to write ORC data and handle each chunk with a callback.
`static TableWriter`	`writeParquetChunked(ParquetWriterOptions options, File outputFile)` Get a table writer to write parquet data to a file.
`static TableWriter`	`writeParquetChunked(ParquetWriterOptions options, HostBufferConsumer consumer)`
`static TableWriter`	`writeParquetChunked(ParquetWriterOptions options, HostBufferConsumer consumer, HostMemoryAllocator hostMemoryAllocator)` Get a table writer to write parquet data and handle each chunk with a callback.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - Table
```
public Table(ColumnVector... columns)
```
    Table class makes a copy of the array of ColumnVectors passed to it. The class will decrease the refcount on itself and all its contents when closed and free resources if refcount is zero
    
    Parameters:
    
    columns - - Array of ColumnVectors
  - Table
```
public Table(long[] cudfColumns)
```
    Create a Table from an array of existing on device cudf::column pointers. Ownership of the columns is transferred to the ColumnVectors held by the new Table. In the case of an exception the columns will be deleted.
    
    Parameters:
    
    cudfColumns - - Array of nativeHandles
- Method Detail
  - getNativeView
```
public long getNativeView()
```
    Return the native table view handle for this table
  - getColumn
```
public ColumnVector getColumn(int index)
```
    Return the ColumnVector at the specified index. If you want to keep a reference to the column around past the life time of the table, you will need to increment the reference count on the column yourself.
  - getRowCount
```
public final long getRowCount()
```
  - getNumberOfColumns
```
public final int getNumberOfColumns()
```
  - close
```
public void close()
```
    Specified by:
    
    close in interface AutoCloseable
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object
  - getDeviceMemorySize
```
public long getDeviceMemorySize()
```
    Returns the Device memory buffer size.
  - readCSV
```
public static Table readCSV(Schema schema,
                            File path)
```
    Read a CSV file using the default CSVOptions.
    
    Parameters:
    
    schema - the schema of the file. You may use Schema.INFERRED to infer the schema.
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readCSV
```
public static Table readCSV(Schema schema,
                            CSVOptions opts,
                            File path)
```
    Read a CSV file.
    
    Parameters:
    
    schema - the schema of the file. You may use Schema.INFERRED to infer the schema.
    
    opts - various CSV parsing options.
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readCSV
```
public static Table readCSV(Schema schema,
                            byte[] buffer)
```
    Read CSV formatted data using the default CSVOptions.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    buffer - raw UTF8 formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readCSV
```
public static Table readCSV(Schema schema,
                            CSVOptions opts,
                            byte[] buffer)
```
    Read CSV formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various CSV parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readCSV
```
public static Table readCSV(Schema schema,
                            CSVOptions opts,
                            byte[] buffer,
                            long offset,
                            long len,
                            HostMemoryAllocator hostMemoryAllocator)
```
    Read CSV formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various CSV parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readCSV
```
public static Table readCSV(Schema schema,
                            CSVOptions opts,
                            byte[] buffer,
                            long offset,
                            long len)
```
  - readCSV
```
public static Table readCSV(Schema schema,
                            CSVOptions opts,
                            HostMemoryBuffer buffer,
                            long offset,
                            long len)
```
    Read CSV formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various CSV parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readCSV
```
public static Table readCSV(Schema schema,
                            CSVOptions opts,
                            DataSource ds)
```
  - writeCSVToFile
```
public void writeCSVToFile(CSVWriterOptions options,
                           String outputPath)
```
  - getCSVBufferWriter
```
public static TableWriter getCSVBufferWriter(CSVWriterOptions options,
                                             HostBufferConsumer bufferConsumer,
                                             HostMemoryAllocator hostMemoryAllocator)
```
  - getCSVBufferWriter
```
public static TableWriter getCSVBufferWriter(CSVWriterOptions options,
                                             HostBufferConsumer bufferConsumer)
```
  - readJSON
```
public static Table readJSON(Schema schema,
                             File path)
```
    Read a JSON file using the default JSONOptions.
    
    Parameters:
    
    schema - the schema of the file. You may use Schema.INFERRED to infer the schema.
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             byte[] buffer)
```
    Read JSON formatted data using the default JSONOptions.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    buffer - raw UTF8 formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             byte[] buffer)
```
    Read JSON formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             File path)
```
    Read a JSON file.
    
    Parameters:
    
    schema - the schema of the file. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             byte[] buffer,
                             long offset,
                             long len,
                             HostMemoryAllocator hostMemoryAllocator)
```
    Read JSON formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             byte[] buffer,
                             long offset,
                             long len,
                             HostMemoryAllocator hostMemoryAllocator,
                             int emptyRowCount)
```
    Read JSON formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    emptyRowCount - the number of rows to return if no columns were read.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             byte[] buffer,
                             long offset,
                             long len,
                             int emptyRowCount)
```
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             byte[] buffer,
                             long offset,
                             long len)
```
  - readJSON
```
public static TableWithMeta readJSON(JSONOptions opts,
                                     HostMemoryBuffer buffer,
                                     long offset,
                                     long len)
```
    Read JSON formatted data and infer the column names and schema.
    
    Parameters:
    
    opts - various JSON parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    Returns:
    
    the data parsed as a table on the GPU and the metadata for the table returned.
  - readAndInferJSON
```
public static TableWithMeta readAndInferJSON(JSONOptions opts,
                                             DataSource ds)
```
    Read JSON formatted data and infer the column names and schema.
    
    Parameters:
    
    opts - various JSON parsing options.
    
    Returns:
    
    the data parsed as a table on the GPU and the metadata for the table returned.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             HostMemoryBuffer buffer,
                             long offset,
                             long len)
```
    Read JSON formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             HostMemoryBuffer buffer,
                             long offset,
                             long len,
                             int emptyRowCount)
```
    Read JSON formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    buffer - raw UTF8 formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    emptyRowCount - the number of rows to use if no columns were found.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             DataSource ds)
```
    Read JSON formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    ds - the DataSource to read from.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readJSON
```
public static Table readJSON(Schema schema,
                             JSONOptions opts,
                             DataSource ds,
                             int emptyRowCount)
```
    Read JSON formatted data.
    
    Parameters:
    
    schema - the schema of the data. You may use Schema.INFERRED to infer the schema.
    
    opts - various JSON parsing options.
    
    ds - the DataSource to read from.
    
    emptyRowCount - the number of rows to return if no columns were read.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readParquet
```
public static Table readParquet(File path)
```
    Read a Parquet file using the default ParquetOptions.
    
    Parameters:
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readParquet
```
public static Table readParquet(ParquetOptions opts,
                                File path)
```
    Read a Parquet file.
    
    Parameters:
    
    opts - various parquet parsing options.
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readParquet
```
public static Table readParquet(byte[] buffer)
```
    Read parquet formatted data.
    
    Parameters:
    
    buffer - raw parquet formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readParquet
```
public static Table readParquet(ParquetOptions opts,
                                byte[] buffer)
```
    Read parquet formatted data.
    
    Parameters:
    
    opts - various parquet parsing options.
    
    buffer - raw parquet formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readParquet
```
public static Table readParquet(ParquetOptions opts,
                                byte[] buffer,
                                long offset,
                                long len,
                                HostMemoryAllocator hostMemoryAllocator)
```
    Read parquet formatted data.
    
    Parameters:
    
    opts - various parquet parsing options.
    
    buffer - raw parquet formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readParquet
```
public static Table readParquet(ParquetOptions opts,
                                byte[] buffer,
                                long offset,
                                long len)
```
  - readParquet
```
public static Table readParquet(ParquetOptions opts,
                                HostMemoryBuffer buffer,
                                long offset,
                                long len)
```
    Read parquet formatted data.
    
    Parameters:
    
    opts - various parquet parsing options.
    
    buffer - raw parquet formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readParquet
```
public static Table readParquet(ParquetOptions opts,
                                DataSource ds)
```
  - readAvro
```
public static Table readAvro(File path)
```
    Read an Avro file using the default AvroOptions.
    
    Parameters:
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readAvro
```
public static Table readAvro(AvroOptions opts,
                             File path)
```
    Read an Avro file.
    
    Parameters:
    
    opts - various Avro parsing options.
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readAvro
```
public static Table readAvro(byte[] buffer)
```
    Read Avro formatted data.
    
    Parameters:
    
    buffer - raw Avro formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readAvro
```
public static Table readAvro(AvroOptions opts,
                             byte[] buffer)
```
    Read Avro formatted data.
    
    Parameters:
    
    opts - various Avro parsing options.
    
    buffer - raw Avro formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readAvro
```
public static Table readAvro(AvroOptions opts,
                             byte[] buffer,
                             long offset,
                             long len,
                             HostMemoryAllocator hostMemoryAllocator)
```
    Read Avro formatted data.
    
    Parameters:
    
    opts - various Avro parsing options.
    
    buffer - raw Avro formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readAvro
```
public static Table readAvro(AvroOptions opts,
                             byte[] buffer,
                             long offset,
                             long len)
```
  - readAvro
```
public static Table readAvro(AvroOptions opts,
                             HostMemoryBuffer buffer,
                             long offset,
                             long len)
```
    Read Avro formatted data.
    
    Parameters:
    
    opts - various Avro parsing options.
    
    buffer - raw Avro formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readAvro
```
public static Table readAvro(AvroOptions opts,
                             DataSource ds)
```
  - readORC
```
public static Table readORC(File path)
```
    Read a ORC file using the default ORCOptions.
    
    Parameters:
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readORC
```
public static Table readORC(ORCOptions opts,
                            File path)
```
    Read a ORC file.
    
    Parameters:
    
    opts - ORC parsing options.
    
    path - the local file to read.
    
    Returns:
    
    the file parsed as a table on the GPU.
  - readORC
```
public static Table readORC(byte[] buffer)
```
    Read ORC formatted data.
    
    Parameters:
    
    buffer - raw ORC formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readORC
```
public static Table readORC(ORCOptions opts,
                            byte[] buffer)
```
    Read ORC formatted data.
    
    Parameters:
    
    opts - various ORC parsing options.
    
    buffer - raw ORC formatted bytes.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readORC
```
public static Table readORC(ORCOptions opts,
                            byte[] buffer,
                            long offset,
                            long len,
                            HostMemoryAllocator hostMemoryAllocator)
```
    Read ORC formatted data.
    
    Parameters:
    
    opts - various ORC parsing options.
    
    buffer - raw ORC formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readORC
```
public static Table readORC(ORCOptions opts,
                            byte[] buffer,
                            long offset,
                            long len)
```
  - readORC
```
public static Table readORC(ORCOptions opts,
                            HostMemoryBuffer buffer,
                            long offset,
                            long len)
```
    Read ORC formatted data.
    
    Parameters:
    
    opts - various ORC parsing options.
    
    buffer - raw ORC formatted bytes.
    
    offset - the starting offset into buffer.
    
    len - the number of bytes to parse.
    
    Returns:
    
    the data parsed as a table on the GPU.
  - readORC
```
public static Table readORC(ORCOptions opts,
                            DataSource ds)
```
  - writeParquetChunked
```
public static TableWriter writeParquetChunked(ParquetWriterOptions options,
                                              File outputFile)
```
    Get a table writer to write parquet data to a file.
    
    Parameters:
    
    options - the parquet writer options.
    
    outputFile - where to write the file.
    
    Returns:
    
    a table writer to use for writing out multiple tables.
  - writeParquetChunked
```
public static TableWriter writeParquetChunked(ParquetWriterOptions options,
                                              HostBufferConsumer consumer,
                                              HostMemoryAllocator hostMemoryAllocator)
```
    Get a table writer to write parquet data and handle each chunk with a callback.
    
    Parameters:
    
    options - the parquet writer options.
    
    consumer - a class that will be called when host buffers are ready with parquet formatted data in them.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    a table writer to use for writing out multiple tables.
  - writeParquetChunked
```
public static TableWriter writeParquetChunked(ParquetWriterOptions options,
                                              HostBufferConsumer consumer)
```
  - writeColumnViewsToParquet
```
public static void writeColumnViewsToParquet(ParquetWriterOptions options,
                                             HostBufferConsumer consumer,
                                             HostMemoryAllocator hostMemoryAllocator,
                                             ColumnView... columnViews)
```
    This is an evolving API and most likely be removed in future releases. Please use with the caveat that this will not exist in the near future.
    
    Parameters:
    
    options - the Parquet writer options.
    
    consumer - a class that will be called when host buffers are ready with Parquet formatted data in them.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    columnViews - ColumnViews to write to Parquet
  - writeColumnViewsToParquet
```
public static void writeColumnViewsToParquet(ParquetWriterOptions options,
                                             HostBufferConsumer consumer,
                                             ColumnView... columnViews)
```
  - writeORCChunked
```
public static TableWriter writeORCChunked(ORCWriterOptions options,
                                          File outputFile)
```
    Get a table writer to write ORC data to a file.
    
    Parameters:
    
    options - the ORC writer options.
    
    outputFile - where to write the file.
    
    Returns:
    
    a table writer to use for writing out multiple tables.
  - writeORCChunked
```
public static TableWriter writeORCChunked(ORCWriterOptions options,
                                          HostBufferConsumer consumer,
                                          HostMemoryAllocator hostMemoryAllocator)
```
    Get a table writer to write ORC data and handle each chunk with a callback.
    
    Parameters:
    
    options - the ORC writer options.
    
    consumer - a class that will be called when host buffers are ready with ORC formatted data in them.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    a table writer to use for writing out multiple tables.
  - writeORCChunked
```
public static TableWriter writeORCChunked(ORCWriterOptions options,
                                          HostBufferConsumer consumer)
```
  - writeArrowIPCChunked
```
public static TableWriter writeArrowIPCChunked(ArrowIPCWriterOptions options,
                                               File outputFile)
```
    Get a table writer to write arrow IPC data to a file.
    
    Parameters:
    
    options - the arrow IPC writer options.
    
    outputFile - where to write the file.
    
    Returns:
    
    a table writer to use for writing out multiple tables.
  - writeArrowIPCChunked
```
public static TableWriter writeArrowIPCChunked(ArrowIPCWriterOptions options,
                                               HostBufferConsumer consumer,
                                               HostMemoryAllocator hostMemoryAllocator)
```
    Get a table writer to write arrow IPC data and handle each chunk with a callback.
    
    Parameters:
    
    options - the arrow IPC writer options.
    
    consumer - a class that will be called when host buffers are ready with arrow IPC formatted data in them.
    
    hostMemoryAllocator - allocator for host memory buffers
    
    Returns:
    
    a table writer to use for writing out multiple tables.
  - writeArrowIPCChunked
```
public static TableWriter writeArrowIPCChunked(ArrowIPCWriterOptions options,
                                               HostBufferConsumer consumer)
```
  - readArrowIPCChunked
```
public static StreamedTableReader readArrowIPCChunked(ArrowIPCOptions options,
                                                      File inputFile)
```
    Get a reader that will return tables.
    
    Parameters:
    
    options - options for reading.
    
    inputFile - the file to read the Arrow IPC formatted data from
    
    Returns:
    
    a reader.
  - readArrowIPCChunked
```
public static StreamedTableReader readArrowIPCChunked(File inputFile)
```
    Get a reader that will return tables.
    
    Parameters:
    
    inputFile - the file to read the Arrow IPC formatted data from
    
    Returns:
    
    a reader.
  - readArrowIPCChunked
```
public static StreamedTableReader readArrowIPCChunked(ArrowIPCOptions options,
                                                      HostBufferProvider provider,
                                                      HostMemoryAllocator hostMemoryAllocator)
```
    Get a reader that will return tables.
    
    Parameters:
    
    options - options for reading.
    
    provider - what will provide the data being read.
    
    Returns:
    
    a reader.
  - readArrowIPCChunked
```
public static StreamedTableReader readArrowIPCChunked(ArrowIPCOptions options,
                                                      HostBufferProvider provider)
```
  - readArrowIPCChunked
```
public static StreamedTableReader readArrowIPCChunked(HostBufferProvider provider)
```
    Get a reader that will return tables.
    
    Parameters:
    
    provider - what will provide the data being read.
    
    Returns:
    
    a reader.
  - concatenate
```
public static Table concatenate(Table... tables)
```
    Concatenate multiple tables together to form a single table. The schema of each table (i.e.: number of columns and types of each column) must be equal across all tables and will determine the schema of the resulting table.
  - interleaveColumns
```
public ColumnVector interleaveColumns()
```
    Interleave all columns into a single column. Columns must all have the same data type and length. Example: ``` input = [[A1, A2, A3], [B1, B2, B3]] return = [A1, B1, A2, B2, A3, B3] ```
    
    Returns:
    
    The interleaved columns as a single column
  - repeat
```
public Table repeat(int count)
```
    Repeat each row of this table count times.
    
    Parameters:
    
    count - the number of times to repeat each row.
    
    Returns:
    
    the new Table.
  - repeat
```
public Table repeat(ColumnView counts)
```
    Create a new table by repeating each row of this table. The number of repetitions of each row is defined by the corresponding value in counts.
    
    Parameters:
    
    counts - the number of times to repeat each row. Cannot have nulls, must be an Integer type, and must have one entry for each row in the table.
    
    Returns:
    
    the new Table.
    
    Throws:
    
    CudfException - on any error.
  - partition
```
public PartitionedTable partition(ColumnView partitionMap,
                                  int numberOfPartitions)
```
    Partition this table using the mapping in partitionMap. partitionMap must be an integer column. The number of rows in partitionMap must be the same as this table. Each row in the map will indicate which partition the rows in the table belong to.
    
    Parameters:
    
    partitionMap - the partitions for each row.
    
    numberOfPartitions - number of partitions
    
    Returns:
    
    PartitionedTable Table that exposes a limited functionality of the Table class
  - lowerBound
```
public ColumnVector lowerBound(boolean[] areNullsSmallest,
                               Table valueTable,
                               boolean[] descFlags)
```
    Find smallest indices in a sorted table where values should be inserted to maintain order.
```
 Example:

  Single column:
      idx            0   1   2   3   4
   inputTable  =   { 10, 20, 20, 30, 50 }
   valuesTable =   { 20 }
   result      =   { 1 }

  Multi Column:
      idx                0    1    2    3    4
   inputTable      = {{  10,  20,  20,  20,  20 },
                      { 5.0,  .5,  .5,  .7,  .7 },
                      {  90,  77,  78,  61,  61 }}
   valuesTable     = {{ 20 },
                      { .7 },
                      { 61 }}
   result          = {  3 }
 
```
    The input table and the values table need to be non-empty (row count > 0)
    Parameters:
    
    areNullsSmallest - per column, true if nulls are assumed smallest
    
    valueTable - the table of values to find insertion locations for
    
    descFlags - per column indicates the ordering, true if descending.
    
    Returns:
    
    ColumnVector with lower bound indices for all rows in valueTable
  - lowerBound
```
public ColumnVector lowerBound(Table valueTable,
                               OrderByArg... args)
```
    Find smallest indices in a sorted table where values should be inserted to maintain order. This is a convenience method. It pulls out the columns indicated by the args and sets up the ordering properly to call `lowerBound`.
    
    Parameters:
    
    valueTable - the table of values to find insertion locations for
    
    args - the sort order used to sort this table.
    
    Returns:
    
    ColumnVector with lower bound indices for all rows in valueTable
  - upperBound
```
public ColumnVector upperBound(boolean[] areNullsSmallest,
                               Table valueTable,
                               boolean[] descFlags)
```
    Find largest indices in a sorted table where values should be inserted to maintain order. Given a sorted table return the upper bound.
```
 Example:

  Single column:
      idx            0   1   2   3   4
   inputTable  =   { 10, 20, 20, 30, 50 }
   valuesTable =   { 20 }
   result      =   { 3 }

  Multi Column:
      idx                0    1    2    3    4
   inputTable      = {{  10,  20,  20,  20,  20 },
                      { 5.0,  .5,  .5,  .7,  .7 },
                      {  90,  77,  78,  61,  61 }}
   valuesTable     = {{ 20 },
                      { .7 },
                      { 61 }}
   result          = {  5 }
 
```
    The input table and the values table need to be non-empty (row count > 0)
    Parameters:
    
    areNullsSmallest - per column, true if nulls are assumed smallest
    
    valueTable - the table of values to find insertion locations for
    
    descFlags - per column indicates the ordering, true if descending.
    
    Returns:
    
    ColumnVector with upper bound indices for all rows in valueTable
  - upperBound
```
public ColumnVector upperBound(Table valueTable,
                               OrderByArg... args)
```
    Find largest indices in a sorted table where values should be inserted to maintain order. This is a convenience method. It pulls out the columns indicated by the args and sets up the ordering properly to call `upperBound`.
    
    Parameters:
    
    valueTable - the table of values to find insertion locations for
    
    args - the sort order used to sort this table.
    
    Returns:
    
    ColumnVector with upper bound indices for all rows in valueTable
  - crossJoin
```
public Table crossJoin(Table right)
```
    Joins two tables all of the left against all of the right. Be careful as this gets very big and you can easily use up all of the GPUs memory.
    
    Parameters:
    
    right - the right table
    
    Returns:
    
    the joined table. The order of the columns returned will be left columns, right columns.
  - sortOrder
```
public ColumnVector sortOrder(OrderByArg... args)
```
    Get back a gather map that can be used to sort the data. This allows you to sort by data that does not appear in the final result and not pay the cost of gathering the data that is only needed for sorting.
    
    Parameters:
    
    args - what order to sort the data by
    
    Returns:
    
    a gather map
  - orderBy
```
public Table orderBy(OrderByArg... args)
```
    Orders the table using the sortkeys returning a new allocated table. The caller is responsible for cleaning up the ColumnVector returned as part of the output Table
    Example usage: orderBy(true, OrderByArg.asc(0), OrderByArg.desc(3)...);
    
    Parameters:
    
    args - Suppliers to initialize sortKeys.
    
    Returns:
    
    Sorted Table
  - merge
```
public static Table merge(Table[] tables,
                          OrderByArg... args)
```
    Merge multiple already sorted tables keeping the sort order the same. This is a more efficient version of concatenate followed by orderBy, but requires that the input already be sorted.
    
    Parameters:
    
    tables - the tables that should be merged.
    
    args - the ordering of the tables. Should match how they were sorted initially.
    
    Returns:
    
    a combined sorted table.
  - merge
```
public static Table merge(List<Table> tables,
                          OrderByArg... args)
```
    Merge multiple already sorted tables keeping the sort order the same. This is a more efficient version of concatenate followed by orderBy, but requires that the input already be sorted.
    
    Parameters:
    
    tables - the tables that should be merged.
    
    args - the ordering of the tables. Should match how they were sorted initially.
    
    Returns:
    
    a combined sorted table.
  - groupBy
```
public Table.GroupByOperation groupBy(GroupByOptions groupByOptions,
                                      int... indices)
```
    Returns aggregate operations grouped by columns provided in indices
    
    Parameters:
    
    groupByOptions - Options provided in the builder
    
    indices - columns to be considered for groupBy
  - groupBy
```
public Table.GroupByOperation groupBy(int... indices)
```
    Returns aggregate operations grouped by columns provided in indices with default options as below: - null is considered as key while grouping. - keys are not presorted. - empty key order array. - empty null order array.
    
    Parameters:
    
    indices - columns to be considered for groupBy
  - roundRobinPartition
```
public PartitionedTable roundRobinPartition(int numberOfPartitions,
                                            int startPartition)
```
    Round-robin partition a table into the specified number of partitions. The first row is placed in the specified starting partition, the next row is placed in the next partition, and so on. When the last partition is reached then next partition is partition 0 and the algorithm continues until all rows have been placed in partitions, evenly distributing the rows among the partitions.
    
    Parameters:
    
    numberOfPartitions - - number of partitions to use
    
    startPartition - - starting partition index (i.e.: where first row is placed).
    
    Returns:
    
    - PartitionedTable - Table that exposes a limited functionality of the Table class
  - onColumns
```
public Table.TableOperation onColumns(int... indices)
```
  - filter
```
public Table filter(ColumnView mask)
```
    Filters this table using a column of boolean values as a mask, returning a new one.
    Given a mask column, each element `i` from the input columns is copied to the output columns if the corresponding element `i` in the mask is non-null and `true`. This operation is stable: the input order is preserved.
    This table and mask columns must have the same number of rows.
    The output table has size equal to the number of elements in boolean_mask that are both non-null and `true`.
    If the original table row count is zero, there is no error, and an empty table is returned.
    
    Parameters:
    
    mask - column of type DType.BOOL8 used as a mask to filter the input column
    
    Returns:
    
    table containing copy of all elements of this table passing the filter defined by the boolean mask
  - dropDuplicates
```
public Table dropDuplicates(int[] keyColumns,
                            Table.DuplicateKeepOption keep,
                            boolean nullsEqual)
```
    Copy rows of the current table to an output table such that duplicate rows in the key columns are ignored (i.e., only one row from the duplicate ones will be copied). These keys columns are a subset of the current table columns and their indices are specified by an input array. The order of rows in the output table is not specified.
    
    Parameters:
    
    keyColumns - Array of indices representing key columns from the current table.
    
    keep - Option specifying to keep any, first, last, or none of the found duplicates.
    
    nullsEqual - Flag to denote whether nulls are treated as equal when comparing rows of the key columns to check for uniqueness.
    
    Returns:
    
    Table with unique keys.
  - distinctCount
```
public int distinctCount(NullEquality nullsEqual)
```
    Count how many rows in the table are distinct from one another.
    
    Parameters:
    
    nullsEqual - if nulls should be considered equal to each other or not.
  - distinctCount
```
public int distinctCount()
```
    Count how many rows in the table are distinct from one another. Nulls are considered to be equal to one another.
  - contiguousSplit
```
public ContiguousTable[] contiguousSplit(int... indices)
```
    Split a table at given boundaries, but the result of each split has memory that is laid out in a contiguous range of memory. This allows for us to optimize copying the data in a single operation. Example: input: [{10, 12, 14, 16, 18, 20, 22, 24, 26, 28}, {50, 52, 54, 56, 58, 60, 62, 64, 66, 68}] splits: {2, 5, 9} output: [{{10, 12}, {14, 16, 18}, {20, 22, 24, 26}, {28}}, {{50, 52}, {54, 56, 58}, {60, 62, 64, 66}, {68}}]
    
    Parameters:
    
    indices - A vector of indices where to make the split
    
    Returns:
    
    The tables split at those points. NOTE: It is the responsibility of the caller to close the result. Each table and column holds a reference to the original buffer. But both the buffer and the table must be closed for the memory to be released.
  - makeChunkedPack
```
public ChunkedPack makeChunkedPack(long bounceBufferSize,
                                   RmmDeviceMemoryResource tempMemoryResource)
```
    Create an instance of `ChunkedPack` which can be used to pack this table contiguously in memory utilizing a bounce buffer of size `bounceBufferSize`. This version of `makeChunkedPack` takes a `RmmDviceMemoryResource`, which can be used to pre-allocate all scratch and temporary space required for the state of `cudf::chunked_pack`. The caller is responsible for calling close on the returned `ChunkedPack` object.
    
    Parameters:
    
    bounceBufferSize - The size of bounce buffer that will be utilized to pack into
    
    tempMemoryResource - A memory resource that is used to satisfy allocations for temporary and thrust scratch space.
    
    Returns:
    
    An instance of `ChunkedPack` that the caller must use to finish the operation.
  - makeChunkedPack
```
public ChunkedPack makeChunkedPack(long bounceBufferSize)
```
    Create an instance of `ChunkedPack` which can be used to pack this table contiguously in memory utilizing a bounce buffer of size `bounceBufferSize`. This version of `makeChunkedPack` makes use of the default per-device memory resource, for scratch and temporary space required for the state of `cudf::chunked_pack`. The caller is responsible for calling close on the returned `ChunkedPack` object.
    
    Parameters:
    
    bounceBufferSize - The size of bounce buffer that will be utilized to pack into
    
    Returns:
    
    An instance of `ChunkedPack` that the caller must use to finish the operation.
  - explode
```
public Table explode(int index)
```
    Explodes a list column's elements. Any list is exploded, which means the elements of the list in each row are expanded into new rows in the output. The corresponding rows for other columns in the input are duplicated. Example: input: [[5,10,15], 100], [[20,25], 200], [[30], 300] index: 0 output: [5, 100], [10, 100], [15, 100], [20, 200], [25, 200], [30, 300] Nulls propagate in different ways depending on what is null. input: [[5,null,15], 100], [null, 200] index: 0 output: [5, 100], [null, 100], [15, 100] Note that null lists are completely removed from the output and nulls inside lists are pulled out and remain.
    
    Parameters:
    
    index - Column index to explode inside the table.
    
    Returns:
    
    A new table with explode_col exploded.
  - explodePosition
```
public Table explodePosition(int index)
```
    Explodes a list column's elements and includes a position column. Any list is exploded, which means the elements of the list in each row are expanded into new rows in the output. The corresponding rows for other columns in the input are duplicated. A position column is added that has the index inside the original list for each row. Example: input: [[5,10,15], 100], [[20,25], 200], [[30], 300] index: 0 output: [0, 5, 100], [1, 10, 100], [2, 15, 100], [0, 20, 200], [1, 25, 200], [0, 30, 300] Nulls and empty lists propagate in different ways depending on what is null or empty. input: [[5,null,15], 100], [null, 200] index: 0 output: [5, 100], [null, 100], [15, 100] Note that null lists are not included in the resulting table, but nulls inside lists and empty lists will be represented with a null entry for that column in that row.
    
    Parameters:
    
    index - Column index to explode inside the table.
    
    Returns:
    
    A new table with exploded value and position. The column order of return table is [cols before explode_input, explode_position, explode_value, cols after explode_input].
  - explodeOuter
```
public Table explodeOuter(int index)
```
    Explodes a list column's elements. Any list is exploded, which means the elements of the list in each row are expanded into new rows in the output. The corresponding rows for other columns in the input are duplicated. Example: input: [[5,10,15], 100], [[20,25], 200], [[30], 300], index: 0 output: [5, 100], [10, 100], [15, 100], [20, 200], [25, 200], [30, 300] Nulls propagate in different ways depending on what is null. input: [[5,null,15], 100], [null, 200] index: 0 output: [5, 100], [null, 100], [15, 100], [null, 200] Note that null lists are completely removed from the output and nulls inside lists are pulled out and remain.
    
    Parameters:
    
    index - Column index to explode inside the table.
    
    Returns:
    
    A new table with explode_col exploded.
  - explodeOuterPosition
```
public Table explodeOuterPosition(int index)
```
    Explodes a list column's elements retaining any null entries or empty lists and includes a position column. Any list is exploded, which means the elements of the list in each row are expanded into new rows in the output. The corresponding rows for other columns in the input are duplicated. A position column is added that has the index inside the original list for each row. Example: Example: input: [[5,10,15], 100], [[20,25], 200], [[30], 300], index: 0 output: [0, 5, 100], [1, 10, 100], [2, 15, 100], [0, 20, 200], [1, 25, 200], [0, 30, 300] Nulls and empty lists propagate as null entries in the result. input: [[5,null,15], 100], [null, 200], [[], 300] index: 0 output: [0, 5, 100], [1, null, 100], [2, 15, 100], [0, null, 200], [0, null, 300] returns
    
    Parameters:
    
    index - Column index to explode inside the table.
    
    Returns:
    
    A new table with exploded value and position. The column order of return table is [cols before explode_input, explode_position, explode_value, cols after explode_input].
  - rowBitCount
```
public ColumnVector rowBitCount()
```
    Returns an approximate cumulative size in bits of all columns in the `table_view` for each row. This function counts bits instead of bytes to account for the null mask which only has one bit per row. Each row in the returned column is the sum of the per-row bit size for each column in the table. In some cases, this is an inexact approximation. Specifically, columns of lists and strings require N+1 offsets to represent N rows. It is up to the caller to calculate the small additional overhead of the terminating offset for any group of rows being considered. This function returns the per-row bit sizes as the columns are currently formed. This can end up being larger than the number you would get by gathering the rows. Specifically, the push-down of struct column validity masks can nullify rows that contain data for string or list columns. In these cases, the size returned is conservative such that: row_bit_count(column(x)) >= row_bit_count(gather(column(x)))
    
    Returns:
    
    INT32 column of bit size per row of the table
  - gather
```
public Table gather(ColumnView gatherMap)
```
    Gathers the rows of this table according to `gatherMap` such that row "i" in the resulting table's columns will contain row "gatherMap[i]" from this table. The number of rows in the result table will be equal to the number of elements in `gatherMap`. A negative value `i` in the `gatherMap` is interpreted as `i+n`, where `n` is the number of rows in this table.
    
    Parameters:
    
    gatherMap - the map of indexes. Must be non-nullable and integral type.
    
    Returns:
    
    the resulting Table.
  - gather
```
public Table gather(ColumnView gatherMap,
                    OutOfBoundsPolicy outOfBoundsPolicy)
```
    Gathers the rows of this table according to `gatherMap` such that row "i" in the resulting table's columns will contain row "gatherMap[i]" from this table. The number of rows in the result table will be equal to the number of elements in `gatherMap`. A negative value `i` in the `gatherMap` is interpreted as `i+n`, where `n` is the number of rows in this table.
    
    Parameters:
    
    gatherMap - the map of indexes. Must be non-nullable and integral type.
    
    outOfBoundsPolicy - policy to use when an out-of-range value is in `gatherMap`.
    
    Returns:
    
    the resulting Table.
  - scatter
```
public Table scatter(ColumnView scatterMap,
                     Table target)
```
    Scatters values from the source table into the target table out-of-place, returning a new result table. The scatter is performed according to a scatter map such that row `scatterMap[i]` of the destination table gets row `i` of the source table. All other rows of the destination table equal corresponding rows of the target table. The number of columns in source must match the number of columns in target and their corresponding data types must be the same. If the same index appears more than once in the scatter map, the result is undefined. A negative value `i` in the `scatterMap` is interpreted as `i + n`, where `n` is the number of rows in the `target` table.
    
    Parameters:
    
    scatterMap - The map of indexes. Must be non-nullable and integral type.
    
    target - The table into which rows from the current table are to be scattered out-of-place.
    
    Returns:
    
    A new table which is the result of out-of-place scattering the source table into the target table.
  - scatter
```
public static Table scatter(Scalar[] source,
                            ColumnView scatterMap,
                            Table target)
```
    Scatters values from the source rows into the target table out-of-place, returning a new result table. The scatter is performed according to a scatter map such that row `scatterMap[i]` of the destination table is replaced by the source row `i`. All other rows of the destination table equal corresponding rows of the target table. The number of elements in source must match the number of columns in target and their corresponding data types must be the same. If the same index appears more than once in the scatter map, the result is undefined. A negative value `i` in the `scatterMap` is interpreted as `i + n`, where `n` is the number of rows in the `target` table.
    
    Parameters:
    
    source - The input scalars containing values to be scattered into the target table.
    
    scatterMap - The map of indexes. Must be non-nullable and integral type.
    
    target - The table into which the values from source are to be scattered out-of-place.
    
    Returns:
    
    A new table which is the result of out-of-place scattering the source values into the target table.
  - leftJoinGatherMaps
```
public GatherMap[] leftJoinGatherMaps(Table rightKeys,
                                      boolean compareNullsEqual)
```
    Computes the gather maps that can be used to manifest the result of a left equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the table argument represents the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the left join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightKeys - join key columns from the right table
    
    compareNullsEqual - true if null key values should match otherwise false
    
    Returns:
    
    left and right table gather maps
  - leftDistinctJoinGatherMap
```
public GatherMap leftDistinctJoinGatherMap(Table rightKeys,
                                           boolean compareNullsEqual)
```
    Computes a gather map that can be used to manifest the result of a left equi-join between two tables where the right table is guaranteed to not contain any duplicated join keys. The left table can be used as-is to produce the left table columns resulting from the join, i.e.: left table ordering is preserved in the join result, so no gather map is required for the left table. The resulting gather map can be applied to the right table to produce the right table columns resulting from the join. It is assumed this table instance holds the key columns from the left table, and the table argument represents the key columns from the right table. A GatherMap instance will be returned that can be used to gather the right table and that result combined with the left table to produce a left outer join result. It is the responsibility of the caller to close the resulting gather map instance.
    
    Parameters:
    
    rightKeys - join key columns from the right table
    
    compareNullsEqual - true if null key values should match otherwise false
    
    Returns:
    
    right table gather map
  - leftJoinRowCount
```
public long leftJoinRowCount(HashJoin rightHash)
```
    Computes the number of rows resulting from a left equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    Returns:
    
    row count of the join result
  - leftJoinGatherMaps
```
public GatherMap[] leftJoinGatherMaps(HashJoin rightHash)
```
    Computes the gather maps that can be used to manifest the result of a left equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the left join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    Returns:
    
    left and right table gather maps
  - leftJoinGatherMaps
```
public GatherMap[] leftJoinGatherMaps(HashJoin rightHash,
                                      long outputRowCount)
```
    Computes the gather maps that can be used to manifest the result of a left equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the left join. It is the responsibility of the caller to close the resulting gather map instances. This interface allows passing an output row count that was previously computed from leftJoinRowCount(HashJoin). WARNING: Passing a row count that is smaller than the actual row count will result in undefined behavior.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    outputRowCount - number of output rows in the join result
    
    Returns:
    
    left and right table gather maps
  - conditionalLeftJoinRowCount
```
public long conditionalLeftJoinRowCount(Table rightTable,
                                        CompiledExpression condition)
```
    Computes the number of rows from the result of a left join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table.
    
    Parameters:
    
    rightTable - the right side table of the join in the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    row count for the join result
  - conditionalLeftJoinGatherMaps
```
public GatherMap[] conditionalLeftJoinGatherMaps(Table rightTable,
                                                 CompiledExpression condition)
```
    Computes the gather maps that can be used to manifest the result of a left join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the left join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightTable - the right side table of the join in the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    left and right table gather maps
  - conditionalLeftJoinGatherMaps
```
public GatherMap[] conditionalLeftJoinGatherMaps(Table rightTable,
                                                 CompiledExpression condition,
                                                 long outputRowCount)
```
    Computes the gather maps that can be used to manifest the result of a left join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the left join. It is the responsibility of the caller to close the resulting gather map instances. This interface allows passing an output row count that was previously computed from conditionalLeftJoinRowCount(Table, CompiledExpression). WARNING: Passing a row count that is smaller than the actual row count will result in undefined behavior.
    
    Parameters:
    
    rightTable - the right side table of the join in the join
    
    condition - conditional expression to evaluate during the join
    
    outputRowCount - number of output rows in the join result
    
    Returns:
    
    left and right table gather maps
  - mixedLeftJoinSize
```
public static MixedJoinSize mixedLeftJoinSize(Table leftKeys,
                                              Table rightKeys,
                                              Table leftConditional,
                                              Table rightConditional,
                                              CompiledExpression condition,
                                              NullEquality nullEquality)
```
    Computes output size information for a left join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. NOTE: It is the responsibility of the caller to close the resulting size information object or native resources can be leaked!
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    Returns:
    
    size information for the join
  - mixedLeftJoinGatherMaps
```
public static GatherMap[] mixedLeftJoinGatherMaps(Table leftKeys,
                                                  Table rightKeys,
                                                  Table leftConditional,
                                                  Table rightConditional,
                                                  CompiledExpression condition,
                                                  NullEquality nullEquality)
```
    Computes the gather maps that can be used to manifest the result of a left join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the left join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    Returns:
    
    left and right table gather maps
  - mixedLeftJoinGatherMaps
```
public static GatherMap[] mixedLeftJoinGatherMaps(Table leftKeys,
                                                  Table rightKeys,
                                                  Table leftConditional,
                                                  Table rightConditional,
                                                  CompiledExpression condition,
                                                  NullEquality nullEquality,
                                                  MixedJoinSize joinSize)
```
    Computes the gather maps that can be used to manifest the result of a left join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the left join. It is the responsibility of the caller to close the resulting gather map instances. This interface allows passing the size result from mixedLeftJoinSize(Table, Table, Table, Table, CompiledExpression, NullEquality) when the output size was computed previously.
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    joinSize - mixed join size result
    
    Returns:
    
    left and right table gather maps
  - innerJoinGatherMaps
```
public GatherMap[] innerJoinGatherMaps(Table rightKeys,
                                       boolean compareNullsEqual)
```
    Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the table argument represents the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightKeys - join key columns from the right table
    
    compareNullsEqual - true if null key values should match otherwise false
    
    Returns:
    
    left and right table gather maps
  - innerDistinctJoinGatherMaps
```
public GatherMap[] innerDistinctJoinGatherMaps(Table rightKeys,
                                               boolean compareNullsEqual)
```
    Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables where the right table is guaranteed to not contain any duplicated join keys. It is assumed this table instance holds the key columns from the left table, and the table argument represents the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightKeys - join key columns from the right table
    
    compareNullsEqual - true if null key values should match otherwise false
    
    Returns:
    
    left and right table gather maps
  - innerJoinRowCount
```
public long innerJoinRowCount(HashJoin otherHash)
```
    Computes the number of rows resulting from an inner equi-join between two tables.
    
    Parameters:
    
    otherHash - hash table built from join key columns from the other table
    
    Returns:
    
    row count of the join result
  - innerJoinGatherMaps
```
public GatherMap[] innerJoinGatherMaps(HashJoin rightHash)
```
    Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    Returns:
    
    left and right table gather maps
  - innerJoinGatherMaps
```
public GatherMap[] innerJoinGatherMaps(HashJoin rightHash,
                                       long outputRowCount)
```
    Computes the gather maps that can be used to manifest the result of an inner equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances. This interface allows passing an output row count that was previously computed from innerJoinRowCount(HashJoin). WARNING: Passing a row count that is smaller than the actual row count will result in undefined behavior.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    outputRowCount - number of output rows in the join result
    
    Returns:
    
    left and right table gather maps
  - conditionalInnerJoinRowCount
```
public long conditionalInnerJoinRowCount(Table rightTable,
                                         CompiledExpression condition)
```
    Computes the number of rows from the result of an inner join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table.
    
    Parameters:
    
    rightTable - the right side table of the join in the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    row count for the join result
  - conditionalInnerJoinGatherMaps
```
public GatherMap[] conditionalInnerJoinGatherMaps(Table rightTable,
                                                  CompiledExpression condition)
```
    Computes the gather maps that can be used to manifest the result of an inner join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightTable - the right side table of the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    left and right table gather maps
  - conditionalInnerJoinGatherMaps
```
public GatherMap[] conditionalInnerJoinGatherMaps(Table rightTable,
                                                  CompiledExpression condition,
                                                  long outputRowCount)
```
    Computes the gather maps that can be used to manifest the result of an inner join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances. This interface allows passing an output row count that was previously computed from conditionalInnerJoinRowCount(Table, CompiledExpression). WARNING: Passing a row count that is smaller than the actual row count will result in undefined behavior.
    
    Parameters:
    
    rightTable - the right side table of the join in the join
    
    condition - conditional expression to evaluate during the join
    
    outputRowCount - number of output rows in the join result
    
    Returns:
    
    left and right table gather maps
  - mixedInnerJoinSize
```
public static MixedJoinSize mixedInnerJoinSize(Table leftKeys,
                                               Table rightKeys,
                                               Table leftConditional,
                                               Table rightConditional,
                                               CompiledExpression condition,
                                               NullEquality nullEquality)
```
    Computes output size information for an inner join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. NOTE: It is the responsibility of the caller to close the resulting size information object or native resources can be leaked!
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    Returns:
    
    size information for the join
  - mixedInnerJoinGatherMaps
```
public static GatherMap[] mixedInnerJoinGatherMaps(Table leftKeys,
                                                   Table rightKeys,
                                                   Table leftConditional,
                                                   Table rightConditional,
                                                   CompiledExpression condition,
                                                   NullEquality nullEquality)
```
    Computes the gather maps that can be used to manifest the result of an inner join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    Returns:
    
    left and right table gather maps
  - mixedInnerJoinGatherMaps
```
public static GatherMap[] mixedInnerJoinGatherMaps(Table leftKeys,
                                                   Table rightKeys,
                                                   Table leftConditional,
                                                   Table rightConditional,
                                                   CompiledExpression condition,
                                                   NullEquality nullEquality,
                                                   MixedJoinSize joinSize)
```
    Computes the gather maps that can be used to manifest the result of an inner join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the inner join. It is the responsibility of the caller to close the resulting gather map instances. This interface allows passing the size result from mixedInnerJoinSize(Table, Table, Table, Table, CompiledExpression, NullEquality) when the output size was computed previously.
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    joinSize - mixed join size result
    
    Returns:
    
    left and right table gather maps
  - fullJoinGatherMaps
```
public GatherMap[] fullJoinGatherMaps(Table rightKeys,
                                      boolean compareNullsEqual)
```
    Computes the gather maps that can be used to manifest the result of an full equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the table argument represents the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the full join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightKeys - join key columns from the right table
    
    compareNullsEqual - true if null key values should match otherwise false
    
    Returns:
    
    left and right table gather maps
  - fullJoinRowCount
```
public long fullJoinRowCount(HashJoin rightHash)
```
    Computes the number of rows resulting from a full equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table. Note that unlike leftJoinRowCount(HashJoin) and #innerJoinRowCount(HashJoin), this will perform some redundant calculations compared to {@link #fullJoinGatherMaps(HashJoin, long)}.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    Returns:
    
    row count of the join result
  - fullJoinGatherMaps
```
public GatherMap[] fullJoinGatherMaps(HashJoin rightHash)
```
    Computes the gather maps that can be used to manifest the result of a full equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the full join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    Returns:
    
    left and right table gather maps
  - fullJoinGatherMaps
```
public GatherMap[] fullJoinGatherMaps(HashJoin rightHash,
                                      long outputRowCount)
```
    Computes the gather maps that can be used to manifest the result of a full equi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the HashJoin argument has been constructed from the key columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the full join. It is the responsibility of the caller to close the resulting gather map instances. This interface allows passing an output row count that was previously computed from fullJoinRowCount(HashJoin). WARNING: Passing a row count that is smaller than the actual row count will result in undefined behavior.
    
    Parameters:
    
    rightHash - hash table built from join key columns from the right table
    
    outputRowCount - number of output rows in the join result
    
    Returns:
    
    left and right table gather maps
  - conditionalFullJoinGatherMaps
```
public GatherMap[] conditionalFullJoinGatherMaps(Table rightTable,
                                                 CompiledExpression condition)
```
    Computes the gather maps that can be used to manifest the result of a full join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the full join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    rightTable - the right side table of the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    left and right table gather maps
  - mixedFullJoinGatherMaps
```
public static GatherMap[] mixedFullJoinGatherMaps(Table leftKeys,
                                                  Table rightKeys,
                                                  Table leftConditional,
                                                  Table rightConditional,
                                                  CompiledExpression condition,
                                                  NullEquality nullEquality)
```
    Computes the gather maps that can be used to manifest the result of a full join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. Two GatherMap instances will be returned that can be used to gather the left and right tables, respectively, to produce the result of the full join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    Returns:
    
    left and right table gather maps
  - leftSemiJoinGatherMap
```
public GatherMap leftSemiJoinGatherMap(Table rightKeys,
                                       boolean compareNullsEqual)
```
    Computes the gather map that can be used to manifest the result of a left semi-join between two tables. It is assumed this table instance holds the key columns from the left table, and the table argument represents the key columns from the right table. The GatherMap instance returned can be used to gather the left table to produce the result of the left semi-join. It is the responsibility of the caller to close the resulting gather map instance.
    
    Parameters:
    
    rightKeys - join key columns from the right table
    
    compareNullsEqual - true if null key values should match otherwise false
    
    Returns:
    
    left table gather map
  - conditionalLeftSemiJoinRowCount
```
public long conditionalLeftSemiJoinRowCount(Table rightTable,
                                            CompiledExpression condition)
```
    Computes the number of rows from the result of a left semi join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table.
    
    Parameters:
    
    rightTable - the right side table of the join in the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    row count for the join result
  - conditionalLeftSemiJoinGatherMap
```
public GatherMap conditionalLeftSemiJoinGatherMap(Table rightTable,
                                                  CompiledExpression condition)
```
    Computes the gather map that can be used to manifest the result of a left semi join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. The GatherMap instance returned can be used to gather the left table to produce the result of the left semi join. It is the responsibility of the caller to close the resulting gather map instance.
    
    Parameters:
    
    rightTable - the right side table of the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    left table gather map
  - conditionalLeftSemiJoinGatherMap
```
public GatherMap conditionalLeftSemiJoinGatherMap(Table rightTable,
                                                  CompiledExpression condition,
                                                  long outputRowCount)
```
    Computes the gather map that can be used to manifest the result of a left semi join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. The GatherMap instance returned can be used to gather the left table to produce the result of the left semi join. It is the responsibility of the caller to close the resulting gather map instance. This interface allows passing an output row count that was previously computed from conditionalLeftSemiJoinRowCount(Table, CompiledExpression). WARNING: Passing a row count that is smaller than the actual row count will result in undefined behavior.
    
    Parameters:
    
    rightTable - the right side table of the join
    
    condition - conditional expression to evaluate during the join
    
    outputRowCount - number of output rows in the join result
    
    Returns:
    
    left table gather map
  - mixedLeftSemiJoinGatherMap
```
public static GatherMap mixedLeftSemiJoinGatherMap(Table leftKeys,
                                                   Table rightKeys,
                                                   Table leftConditional,
                                                   Table rightConditional,
                                                   CompiledExpression condition,
                                                   NullEquality nullEquality)
```
    Computes the gather map that can be used to manifest the result of a left semi join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. A GatherMap instance will be returned that can be used to gather the left table to produce the result of the left semi join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    Returns:
    
    left and right table gather maps
  - leftAntiJoinGatherMap
```
public GatherMap leftAntiJoinGatherMap(Table rightKeys,
                                       boolean compareNullsEqual)
```
    Computes the gather map that can be used to manifest the result of a left anti-join between two tables. It is assumed this table instance holds the key columns from the left table, and the table argument represents the key columns from the right table. The GatherMap instance returned can be used to gather the left table to produce the result of the left anti-join. It is the responsibility of the caller to close the resulting gather map instance.
    
    Parameters:
    
    rightKeys - join key columns from the right table
    
    compareNullsEqual - true if null key values should match otherwise false
    
    Returns:
    
    left table gather map
  - conditionalLeftAntiJoinRowCount
```
public long conditionalLeftAntiJoinRowCount(Table rightTable,
                                            CompiledExpression condition)
```
    Computes the number of rows from the result of a left anti join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table.
    
    Parameters:
    
    rightTable - the right side table of the join in the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    row count for the join result
  - conditionalLeftAntiJoinGatherMap
```
public GatherMap conditionalLeftAntiJoinGatherMap(Table rightTable,
                                                  CompiledExpression condition)
```
    Computes the gather map that can be used to manifest the result of a left anti join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. The GatherMap instance returned can be used to gather the left table to produce the result of the left anti join. It is the responsibility of the caller to close the resulting gather map instance.
    
    Parameters:
    
    rightTable - the right side table of the join
    
    condition - conditional expression to evaluate during the join
    
    Returns:
    
    left table gather map
  - conditionalLeftAntiJoinGatherMap
```
public GatherMap conditionalLeftAntiJoinGatherMap(Table rightTable,
                                                  CompiledExpression condition,
                                                  long outputRowCount)
```
    Computes the gather map that can be used to manifest the result of a left anti join between two tables when a conditional expression is true. It is assumed this table instance holds the columns from the left table, and the table argument represents the columns from the right table. The GatherMap instance returned can be used to gather the left table to produce the result of the left anti join. It is the responsibility of the caller to close the resulting gather map instance. This interface allows passing an output row count that was previously computed from conditionalLeftAntiJoinRowCount(Table, CompiledExpression). WARNING: Passing a row count that is smaller than the actual row count will result in undefined behavior.
    
    Parameters:
    
    rightTable - the right side table of the join
    
    condition - conditional expression to evaluate during the join
    
    outputRowCount - number of output rows in the join result
    
    Returns:
    
    left table gather map
  - mixedLeftAntiJoinGatherMap
```
public static GatherMap mixedLeftAntiJoinGatherMap(Table leftKeys,
                                                   Table rightKeys,
                                                   Table leftConditional,
                                                   Table rightConditional,
                                                   CompiledExpression condition,
                                                   NullEquality nullEquality)
```
    Computes the gather map that can be used to manifest the result of a left anti join between two tables using a mix of equality and inequality conditions. The entire join condition is assumed to be a logical AND of the equality condition and inequality condition. A GatherMap instance will be returned that can be used to gather the left table to produce the result of the left anti join. It is the responsibility of the caller to close the resulting gather map instances.
    
    Parameters:
    
    leftKeys - the left table's key columns for the equality condition
    
    rightKeys - the right table's key columns for the equality condition
    
    leftConditional - the left table's columns needed to evaluate the inequality condition
    
    rightConditional - the right table's columns needed to evaluate the inequality condition
    
    condition - the inequality condition of the join
    
    nullEquality - whether nulls should compare as equal
    
    Returns:
    
    left and right table gather maps
  - fromPackedTable
```
public static Table fromPackedTable(ByteBuffer metadata,
                                    DeviceMemoryBuffer data)
```
    Construct a table from a packed representation.
    
    Parameters:
    
    metadata - host-based metadata for the table
    
    data - GPU data buffer for the table
    
    Returns:
    
    table which is zero-copy reconstructed from the packed-form
  - sample
```
public Table sample(long n,
                    boolean replacement,
                    long seed)
```
    Gather `n` samples from table randomly Note: does not preserve the ordering Example: input: {col1: {1, 2, 3, 4, 5}, col2: {6, 7, 8, 9, 10}} n: 3 replacement: false output: {col1: {3, 1, 4}, col2: {8, 6, 9}} replacement: true output: {col1: {3, 1, 1}, col2: {8, 6, 6}} throws "logic_error" if `n` > table rows and `replacement` == FALSE. throws "logic_error" if `n` < 0.
    
    Parameters:
    
    n - non-negative number of samples expected from table
    
    replacement - Allow or disallow sampling of the same row more than once.
    
    seed - Seed value to initiate random number generator.
    
    Returns:
    
    Table containing samples

Class Table

Nested Class Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Table

Table

Method Detail

getNativeView

getColumn

getRowCount

getNumberOfColumns

close

toString

getDeviceMemorySize

readCSV

readCSV

readCSV

readCSV

readCSV

readCSV

readCSV

readCSV

writeCSVToFile

getCSVBufferWriter

getCSVBufferWriter

readJSON

readJSON

readJSON

readJSON

readJSON

readJSON

readJSON

readJSON

readJSON

readAndInferJSON

readJSON

readJSON

readJSON

readJSON

readParquet

readParquet

readParquet

readParquet

readParquet

readParquet

readParquet

readParquet

readAvro

readAvro

readAvro

readAvro

readAvro

readAvro

readAvro

readAvro

readORC

readORC

readORC

readORC

readORC

readORC

readORC

readORC

writeParquetChunked

writeParquetChunked

writeParquetChunked

writeColumnViewsToParquet

writeColumnViewsToParquet

writeORCChunked

writeORCChunked

writeORCChunked

writeArrowIPCChunked

writeArrowIPCChunked

writeArrowIPCChunked

readArrowIPCChunked

readArrowIPCChunked

readArrowIPCChunked

readArrowIPCChunked