Uses of Class
ai.rapids.cudf.Table

Packages that use Table

Package	Description
ai.rapids.cudf
ai.rapids.cudf.ast

Uses of Table in ai.rapids.cudf

Methods in ai.rapids.cudf that return Table

Modifier and Type	Method	Description
Table	Table.GroupByOperation.aggregate(GroupByAggregationOnColumn... aggregates)	Aggregates the group of columns represented by indices Usage: aggregate(count(), max(2),...); example: input : 1, 1, 1 1, 2, 1 2, 4, 5 table.groupBy(0, 2).count() col0, col1 output: 1, 1 1, 2 2, 1 ==> aggregated count
Table	Table.GroupByOperation.aggregateWindows(AggregationOverWindow... windowAggregates)	Computes row-based window aggregation functions on the Table/projection, based on windows specified in the argument.
Table	Table.GroupByOperation.aggregateWindowsOverRanges(AggregationOverWindow... windowAggregates)	Computes range-based window aggregation functions on the Table/projection, based on windows specified in the argument.
Table	Table.TestBuilder.build()
static Table	Aggregation128Utils.combineInt64SumChunks(Table chunks, DType type)	Reassemble a column of 128-bit values from a table of four 64-bit integer columns and check for overflow.
static Table	Table.concatenate(Table... tables)	Concatenate multiple tables together to form a single table.
Table	Table.crossJoin(Table right)	Joins two tables all of the left against all of the right.
Table	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	Table.explode(int index)	Explodes a list column's elements.
Table	Table.explodeOuter(int index)	Explodes a list column's elements.
Table	Table.explodeOuterPosition(int index)	Explodes a list column's elements retaining any null entries or empty lists and includes a position column.
Table	Table.explodePosition(int index)	Explodes a list column's elements and includes a position column.
final Table	ColumnView.extractRe(RegexProgram regexProg)	For each captured group specified in the given regex program return a column in the table.
final Table	ColumnView.extractRe(String pattern)	Deprecated.
Table	Table.filter(ColumnView mask)	Filters this table using a column of boolean values as a mask, returning a new one.
static Table	Table.fromPackedTable(ByteBuffer metadata, DeviceMemoryBuffer data)	Construct a table from a packed representation.
Table	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	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.
Table	StreamedTableReader.getNextIfAvailable()	Get the next table if available.
Table	StreamedTableReader.getNextIfAvailable(int rowTarget)	Get the next table if available.
Table	ContiguousTable.getTable()	Get the table instance, reconstructing it from the metadata if necessary.
Table	JCudfSerialization.TableAndRowCountPair.getTable()	Get the Table that was deserialized or null if there was no data (e.g.: rows without columns).
Table	PartitionedTable.getTable()
Table	ContigSplitGroupByResult.getUniqKeyTable()	Get the key table, each row in the key table is corresponding to a group.
static Table	Table.merge(Table[] tables, OrderByArg... args)	Merge multiple already sorted tables keeping the sort order the same.
static Table	Table.merge(List<Table> tables, OrderByArg... args)	Merge multiple already sorted tables keeping the sort order the same.
Table	Table.orderBy(OrderByArg... args)	Orders the table using the sortkeys returning a new allocated table.
static Table	JCudfSerialization.readAndConcat(JCudfSerialization.SerializedTableHeader[] headers, HostMemoryBuffer[] dataBuffers)
static Table	Table.readAvro(byte[] buffer)	Read Avro formatted data.
static Table	Table.readAvro(AvroOptions opts, byte[] buffer)	Read Avro formatted data.
static Table	Table.readAvro(AvroOptions opts, byte[] buffer, long offset, long len)
static Table	Table.readAvro(AvroOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)	Read Avro formatted data.
static Table	Table.readAvro(AvroOptions opts, DataSource ds)
static Table	Table.readAvro(AvroOptions opts, HostMemoryBuffer buffer, long offset, long len)	Read Avro formatted data.
static Table	Table.readAvro(AvroOptions opts, File path)	Read an Avro file.
static Table	Table.readAvro(File path)	Read an Avro file using the default AvroOptions.
Table	ORCChunkedReader.readChunk()	Read a chunk of rows in the given ORC file such that the returning data has total size does not exceed the given read limit.
Table	ParquetChunkedReader.readChunk()	Read a chunk of rows in the given Parquet file such that the returning data has total size does not exceed the given read limit.
static Table	Table.readCSV(Schema schema, byte[] buffer)	Read CSV formatted data using the default CSVOptions.
static Table	Table.readCSV(Schema schema, CSVOptions opts, byte[] buffer)	Read CSV formatted data.
static Table	Table.readCSV(Schema schema, CSVOptions opts, byte[] buffer, long offset, long len)
static Table	Table.readCSV(Schema schema, CSVOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)	Read CSV formatted data.
static Table	Table.readCSV(Schema schema, CSVOptions opts, DataSource ds)
static Table	Table.readCSV(Schema schema, CSVOptions opts, HostMemoryBuffer buffer, long offset, long len)	Read CSV formatted data.
static Table	Table.readCSV(Schema schema, CSVOptions opts, File path)	Read a CSV file.
static Table	Table.readCSV(Schema schema, File path)	Read a CSV file using the default CSVOptions.
static Table	Table.readJSON(Schema schema, byte[] buffer)	Read JSON formatted data using the default JSONOptions.
static Table	Table.readJSON(Schema schema, JSONOptions opts, byte[] buffer)	Read JSON formatted data.
static Table	Table.readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len)
static Table	Table.readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len, int emptyRowCount)
static Table	Table.readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)	Read JSON formatted data.
static Table	Table.readJSON(Schema schema, JSONOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator, int emptyRowCount)	Deprecated. This method is deprecated since emptyRowCount is not used.
static Table	Table.readJSON(Schema schema, JSONOptions opts, DataSource ds)	Read JSON formatted data.
static Table	Table.readJSON(Schema schema, JSONOptions opts, DataSource ds, int emptyRowCount)	Deprecated. This method is deprecated since emptyRowCount is not used.
static Table	Table.readJSON(Schema schema, JSONOptions opts, HostMemoryBuffer buffer, long offset, long len)	Read JSON formatted data.
static Table	Table.readJSON(Schema schema, JSONOptions opts, HostMemoryBuffer buffer, long offset, long len, int emptyRowCount)	Deprecated. This method is deprecated since emptyRowCount is not used.
static Table	Table.readJSON(Schema schema, JSONOptions opts, File path)	Read a JSON file.
static Table	Table.readJSON(Schema schema, File path)	Read a JSON file using the default JSONOptions.
static Table	Table.readORC(byte[] buffer)	Read ORC formatted data.
static Table	Table.readORC(ORCOptions opts, byte[] buffer)	Read ORC formatted data.
static Table	Table.readORC(ORCOptions opts, byte[] buffer, long offset, long len)
static Table	Table.readORC(ORCOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)	Read ORC formatted data.
static Table	Table.readORC(ORCOptions opts, DataSource ds)
static Table	Table.readORC(ORCOptions opts, HostMemoryBuffer buffer, long offset, long len)	Read ORC formatted data.
static Table	Table.readORC(ORCOptions opts, File path)	Read a ORC file.
static Table	Table.readORC(File path)	Read a ORC file using the default ORCOptions.
static Table	Table.readParquet(byte[] buffer)	Read parquet formatted data.
static Table	Table.readParquet(ParquetOptions opts, byte[] buffer)	Read parquet formatted data.
static Table	Table.readParquet(ParquetOptions opts, byte[] buffer, long offset, long len)	Read parquet formatted data.
static Table	Table.readParquet(ParquetOptions opts, byte[] buffer, long offset, long len, HostMemoryAllocator hostMemoryAllocator)	Read parquet formatted data.
static Table	Table.readParquet(ParquetOptions opts, DataSource ds)	Read parquet formatted data.
static Table	Table.readParquet(ParquetOptions opts, HostMemoryBuffer... buffers)	Read parquet formatted data.
static Table	Table.readParquet(ParquetOptions opts, HostMemoryBuffer buffer, long offset, long len)	Read parquet formatted data.
static Table	Table.readParquet(ParquetOptions opts, File path)	Read a Parquet file.
static Table	Table.readParquet(File path)	Read a Parquet file using the default ParquetOptions.
Table	TableWithMeta.releaseTable()	Get the table out of this metadata.
Table	Table.repeat(int count)	Repeat each row of this table count times.
Table	Table.repeat(ColumnView counts)	Create a new table by repeating each row of this table.
Table	Table.GroupByOperation.replaceNulls(ReplacePolicyWithColumn... replacements)
Table	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	Table.GroupByOperation.scan(GroupByScanAggregationOnColumn... aggregates)
Table	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	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.
final Table	ColumnView.stringSplit(RegexProgram regexProg)	Returns a list of columns by splitting each string using the specified regex program pattern.
final Table	ColumnView.stringSplit(RegexProgram regexProg, int limit)	Returns a list of columns by splitting each string using the specified regex program pattern.
final Table	ColumnView.stringSplit(String delimiter)	Returns a list of columns by splitting each string using the specified string literal delimiter.
final Table	ColumnView.stringSplit(String pattern, boolean splitByRegex)	Deprecated.
final Table	ColumnView.stringSplit(String delimiter, int limit)	Returns a list of columns by splitting each string using the specified string literal delimiter.
final Table	ColumnView.stringSplit(String pattern, int limit, boolean splitByRegex)	Deprecated.

Methods in ai.rapids.cudf with parameters of type Table

Modifier and Type	Method	Description
static Table	Aggregation128Utils.combineInt64SumChunks(Table chunks, DType type)	Reassemble a column of 128-bit values from a table of four 64-bit integer columns and check for overflow.
static Table	Table.concatenate(Table... tables)	Concatenate multiple tables together to form a single table.
GatherMap[]	Table.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[]	Table.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[]	Table.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	Table.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	Table.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	Table.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	Table.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[]	Table.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[]	Table.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	Table.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	Table.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	Table.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	Table.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.
Table	Table.crossJoin(Table right)	Joins two tables all of the left against all of the right.
void	TableDebug.debug(String name, Table table)	Print the contents of a table.
void	ArrowIPCWriterOptions.DoneOnGpu.doneWithTheGpu(Table table)	A callback to indicate that the table is off of the GPU and may be closed, even if all of the data is not yet written.
GatherMap[]	Table.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.
GatherMap[]	Table.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[]	Table.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.
GatherMap	Table.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	Table.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[]	Table.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.
GatherMap	Table.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	Table.lowerBound(boolean[] areNullsSmallest, Table valueTable, boolean[] descFlags)	Find smallest indices in a sorted table where values should be inserted to maintain order.
ColumnVector	Table.lowerBound(Table valueTable, OrderByArg... args)	Find smallest indices in a sorted table where values should be inserted to maintain order.
static Table	Table.merge(Table[] tables, OrderByArg... args)	Merge multiple already sorted tables keeping the sort order the same.
static GatherMap[]	Table.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[]	Table.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[]	Table.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	Table.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	Table.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[]	Table.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[]	Table.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	Table.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	Table.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	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	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	Table.upperBound(boolean[] areNullsSmallest, Table valueTable, boolean[] descFlags)	Find largest indices in a sorted table where values should be inserted to maintain order.
ColumnVector	Table.upperBound(Table valueTable, OrderByArg... args)	Find largest indices in a sorted table where values should be inserted to maintain order.
abstract void	TableWriter.write(Table table)	Write out a table.
static void	JCudfSerialization.writeToStream(Table t, OutputStream out, long rowOffset, long numRows)	Write all or part of a table out in an internal format.

Method parameters in ai.rapids.cudf with type arguments of type Table

Modifier and Type	Method	Description
static Table	Table.merge(List<Table> tables, OrderByArg... args)	Merge multiple already sorted tables keeping the sort order the same.

Constructors in ai.rapids.cudf with parameters of type Table

Modifier	Constructor	Description
	HashJoin(Table buildKeys, boolean compareNulls)	Construct a hash table for a join from a table representing the join key columns from the right-side table in the join.

Uses of Table in ai.rapids.cudf.ast

Methods in ai.rapids.cudf.ast with parameters of type Table

Modifier and Type	Method	Description
ColumnVector	CompiledExpression.computeColumn(Table table)	Compute a new column by applying this AST expression to the specified table.