Uses of Class
ai.rapids.cudf.DType

Packages that use DType

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

Uses of DType in ai.rapids.cudf

Fields in ai.rapids.cudf declared as DType

Modifier and Type	Field and Description
static DType	DType.BOOL8
DType	JCudfSerialization.SerializedColumnHeader.dtype
static DType	DType.DURATION_DAYS
static DType	DType.DURATION_MICROSECONDS
static DType	DType.DURATION_MILLISECONDS
static DType	DType.DURATION_NANOSECONDS
static DType	DType.DURATION_SECONDS
static DType	DType.EMPTY
static DType	DType.FLOAT32
static DType	DType.FLOAT64
static DType	DType.INT16
static DType	DType.INT32
static DType	DType.INT64
static DType	DType.INT8
static DType	DType.LIST
static DType	DType.STRING
static DType	DType.STRUCT
static DType	DType.TIMESTAMP_DAYS
static DType	DType.TIMESTAMP_MICROSECONDS
static DType	DType.TIMESTAMP_MILLISECONDS
static DType	DType.TIMESTAMP_NANOSECONDS
static DType	DType.TIMESTAMP_SECONDS
protected DType	ColumnView.type
protected DType	HostColumnVectorCore.type
static DType	DType.UINT16
static DType	DType.UINT32
static DType	DType.UINT64
static DType	DType.UINT8

Methods in ai.rapids.cudf that return DType

Modifier and Type	Method and Description
static DType	DType.create(DType.DTypeEnum dt) Factory method for non-decimal DType instances.
static DType	DType.create(DType.DTypeEnum dt, int scale) Factory method specialized for decimal DType instances.
static DType	DecimalUtils.createDecimalType(int precision, int scale) Creates a cuDF decimal type with precision and scale
static DType	DType.fromJavaBigDecimal(BigDecimal dec) Create decimal-like DType using precision and scale of Java BigDecimal.
static DType	DType.fromNative(int nativeId, int scale) Factory method for DType instances
DType[]	Schema.getChildTypes() Get types of the top level child columns in schema.
DType[]	Schema.getFlattenedTypes() Get the types of the columns in schema flattened from all levels by depth-first traversal.
DType	Schema.getType()
DType	Scalar.getType()
DType	BinaryOperable.getType() Get the type of this data.
DType	ColumnView.getType()
DType	HostColumnVectorCore.getType() Returns the type of this vector.
abstract DType	HostColumnVector.DataType.getType()
DType	HostColumnVector.ListType.getType()
DType	HostColumnVector.StructType.getType()
DType	HostColumnVector.BasicType.getType()
DType	JCudfSerialization.SerializedColumnHeader.getType() Get the data type of the column
static DType	BinaryOperable.implicitConversion(BinaryOp op, BinaryOperable lhs, BinaryOperable rhs) Finds the proper DType for an implicit output.

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

Modifier and Type	Method and Description
default ColumnVector	BinaryOperable.add(BinaryOperable rhs, DType outType) Add one vector to another with the given output type.
Schema.Builder	Schema.Builder.addColumn(DType type, String name)
Schema.Builder	Schema.Builder.addColumn(DType type, String name, int precision) Add a new column
Scalar	ColumnView.all(DType outType) Deprecated. the only output type supported is BOOL8.
default ColumnVector	BinaryOperable.and(BinaryOperable rhs, DType outType) Logical and (&&) with the given output type.
Scalar	ColumnView.any(DType outType) Returns a scalar is true or 1, depending on the specified type, if any of the elements in the column are true or non-zero otherwise false or 0.
default ColumnVector	BinaryOperable.arctan2(BinaryOperable xCoordinate, DType outType) The function arctan2(y,x) or atan2(y,x) is defined as the angle in the Euclidean plane, given in radians, between the positive x axis and the ray to the point (x, y) ≠ (0, 0).
ColumnVector	ColumnView.asTimestamp(DType timestampType, String format) Parse a string to a timestamp.
ColumnVector	Scalar.binaryOp(BinaryOp op, BinaryOperable rhs, DType outType)
ColumnVector	BinaryOperable.binaryOp(BinaryOp op, BinaryOperable rhs, DType outType) Multiple different binary operations.
ColumnVector	ColumnView.binaryOp(BinaryOp op, BinaryOperable rhs, DType outType) Multiple different binary operations.
default ColumnVector	BinaryOperable.bitAnd(BinaryOperable rhs, DType outType) Bit wise and (&) with the given output type.
ColumnView	ColumnView.bitCastTo(DType type) Zero-copy cast between types with the same underlying length.
default ColumnVector	BinaryOperable.bitOr(BinaryOperable rhs, DType outType) Bit wise or (|) with the given output type.
default ColumnVector	BinaryOperable.bitXor(BinaryOperable rhs, DType outType) Bit wise xor (^) with the given output type.
static ColumnVector	ColumnVector.build(DType type, int rows, java.util.function.Consumer<HostColumnVector.Builder> init) Create a new vector.
static HostColumnVector	HostColumnVector.build(DType type, int rows, java.util.function.Consumer<HostColumnVector.Builder> init) Create a new vector.
static HostColumnVector.Builder	HostColumnVector.builder(DType type, int rows) Create a new Builder to hold the specified number of rows.
ColumnVector	ColumnView.castTo(DType type) Generic method to cast ColumnVector When casting from a Date, Timestamp, or Boolean to a numerical type the underlying numerical representation of the data will be used for the cast.
ColumnVector	ColumnVector.castTo(DType type) Generic method to cast ColumnVector When casting from a Date, Timestamp, or Boolean to a numerical type the underlying numerical representation of the data will be used for the cast.
Schema.Builder	Schema.Builder.column(DType type, String name)
Schema.Builder	Schema.Builder.column(DType type, String name, int precision) Adds a single column to the current schema.
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 ColumnVector	ColumnVector.decimalFromDoubles(DType type, RoundingMode mode, double... values) Create a new decimal vector from double floats with specific DecimalType and RoundingMode.
static HostColumnVector	HostColumnVector.decimalFromDoubles(DType type, RoundingMode mode, double... values) Create a new decimal vector from double floats with specific DecimalType and RoundingMode.
default ColumnVector	BinaryOperable.div(BinaryOperable rhs, DType outType) Divide one vector by another with the given output type.
static Scalar	Scalar.durationFromLong(DType type, long value) Returns a duration scalar based on the type parameter.
static Scalar	Scalar.durationFromLong(DType type, Long value) Returns a duration scalar based on the type parameter.
default ColumnVector	BinaryOperable.equalTo(BinaryOperable rhs, DType outType) this == rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.equalToNullAware(BinaryOperable rhs, DType outType) like equalTo but NULL == NULL is TRUE and NULL == not NULL is FALSE
static ColumnVector	Aggregation128Utils.extractInt32Chunk(ColumnView col, DType outType, int chunkIdx) Extract a 32-bit chunk from a 128-bit value.
default ColumnVector	BinaryOperable.floorDiv(BinaryOperable rhs, DType outType) Divide one vector by another and calculate the floor of the result with the given output type.
static ColumnVector	ColumnVector.fromArrow(DType type, long numRows, long nullCount, ByteBuffer data, ByteBuffer validity, ByteBuffer offsets) Create a ColumnVector from the Apache Arrow byte buffers passed in.
static Scalar	Scalar.fromDecimal(BigInteger unscaledValue, DType dt)
static ColumnView	ColumnView.fromDeviceBuffer(BaseDeviceMemoryBuffer buffer, long startOffset, DType type, int rows) Create a new column view from a raw device buffer.
static Scalar	Scalar.fromNull(DType type)
default ColumnVector	BinaryOperable.greaterOrEqualTo(BinaryOperable rhs, DType outType) this >= rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.greaterThan(BinaryOperable rhs, DType outType) this > rhs 1 is true 0 is false with the output cast to the given type.
ColumnVector	ColumnView.isFixedPoint(DType decimalType) Returns a Boolean vector with the same number of rows as this instance, that has TRUE for any entry that is a fixed-point, and FALSE if its not a fixed-point.
ColumnVector	ColumnView.isInteger(DType intType) Returns a Boolean vector with the same number of rows as this instance, that has TRUE for any entry that is an integer, and FALSE if its not an integer.
default ColumnVector	BinaryOperable.lessOrEqualTo(BinaryOperable rhs, DType outType) this <= rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.lessThan(BinaryOperable rhs, DType outType) this < rhs 1 is true 0 is false with the output cast to the given type.
ColumnVector	ColumnView.listReduce(SegmentedReductionAggregation aggregation, DType outType) Do a reduction on the values in a list.
ColumnVector	ColumnView.listReduce(SegmentedReductionAggregation aggregation, NullPolicy nullPolicy, DType outType) Do a reduction on the values in a list.
default ColumnVector	BinaryOperable.log(BinaryOperable rhs, DType outType) Calculate the log with the specified base
ColumnView	ColumnView.logicalCastTo(DType type) Deprecated. this has changed to bit_cast in C++ so use that name instead
static ColumnVector	ColumnVector.makeList(long rows, DType type, ColumnView... columns) Create a LIST column from the given columns.
Scalar	ColumnView.max(DType outType) Deprecated. the max reduction no longer internally allows for setting the output type, as a work around this API will cast the input type to the output type for you, but this may not work in all cases.
default ColumnVector	BinaryOperable.maxNullAware(BinaryOperable rhs, DType outType) Returns the max non null value.
Scalar	ColumnView.mean(DType outType) Returns the arithmetic mean of all values in the column, returning a scalar of the specified type.
Scalar	ColumnView.min(DType outType) Deprecated. the min reduction no longer internally allows for setting the output type, as a work around this API will cast the input type to the output type for you, but this may not work in all cases.
default ColumnVector	BinaryOperable.minNullAware(BinaryOperable rhs, DType outType) Returns the min non null value.
default ColumnVector	BinaryOperable.mod(BinaryOperable rhs, DType outType) Compute the modulus with the given output type.
default ColumnVector	BinaryOperable.mul(BinaryOperable rhs, DType outType) Multiply two vectors together with the given output type.
default ColumnVector	BinaryOperable.notEqualTo(BinaryOperable rhs, DType outType) this != rhs 1 is true 0 is false with the output cast to the given type.
default ColumnVector	BinaryOperable.notEqualToNullAware(BinaryOperable rhs, DType outType) like notEqualTo but NULL != NULL is TRUE and NULL != not NULL is FALSE
default ColumnVector	BinaryOperable.or(BinaryOperable rhs, DType outType) Logical or (||) with the given output type.
default ColumnVector	BinaryOperable.pmod(BinaryOperable rhs, DType outputType) Returns the positive value of lhs mod rhs.
default ColumnVector	BinaryOperable.pow(BinaryOperable rhs, DType outType) Compute the power with the given output type.
Scalar	ColumnView.product(DType outType) Returns the product of all values in the column, returning a scalar of the specified type.
Scalar	ColumnView.reduce(ReductionAggregation aggregation, DType outType) Computes the reduction of the values in all rows of a column.
ColumnVector	ColumnView.segmentedReduce(ColumnView offsets, SegmentedReductionAggregation aggregation, DType outType) Do a segmented reduce where the offsets column indicates which groups in this to combine.
ColumnVector	ColumnView.segmentedReduce(ColumnView offsets, SegmentedReductionAggregation aggregation, NullPolicy nullPolicy, DType outType) Do a segmented reduce where the offsets column indicates which groups in this to combine.
default ColumnVector	BinaryOperable.shiftLeft(BinaryOperable shiftBy, DType outType) Bitwise left shifts the values of this vector by shiftBy.
default ColumnVector	BinaryOperable.shiftRight(BinaryOperable shiftBy, DType outType) Bitwise right shift this vector by the shiftBy.
default ColumnVector	BinaryOperable.shiftRightUnsigned(BinaryOperable shiftBy, DType outType) This method bitwise right shifts the values of this vector by the shiftBy.
Scalar	ColumnView.standardDeviation(DType outType) Returns the sample standard deviation of all values in the column, returning a scalar of the specified type.
default ColumnVector	BinaryOperable.sub(BinaryOperable rhs, DType outType) Subtract one vector from another with the given output type.
Scalar	ColumnView.sum(DType outType) Computes the sum of all values in the column, returning a scalar of the specified type.
Scalar	ColumnView.sumOfSquares(DType outType) Returns the sum of squares of all values in the column, returning a scalar of the specified type.
static Scalar	Scalar.timestampFromLong(DType type, long value)
static Scalar	Scalar.timestampFromLong(DType type, Long value)
default ColumnVector	BinaryOperable.trueDiv(BinaryOperable rhs, DType outType) Divide one vector by another converting to FLOAT64 in between with the given output type.
Scalar	ColumnView.variance(DType outType) Returns the variance of all values in the column, returning a scalar of the specified type.
ORCOptions.Builder	ORCOptions.Builder.withTimeUnit(DType unit) Specify the time unit to use when returning timestamps.
ParquetOptions.Builder	ParquetOptions.Builder.withTimeUnit(DType unit) Specify the time unit to use when returning timestamps.

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

Constructor and Description
BasicType(boolean isNullable, DType type)
ColumnVector(DType type, long rows, Optional<Long> nullCount, DeviceMemoryBuffer dataBuffer, DeviceMemoryBuffer validityBuffer, DeviceMemoryBuffer offsetBuffer) Create a new column vector based off of data already on the device.
ColumnVector(DType type, long rows, Optional<Long> nullCount, DeviceMemoryBuffer dataBuffer, DeviceMemoryBuffer validityBuffer, DeviceMemoryBuffer offsetBuffer, List<DeviceMemoryBuffer> toClose, long[] childHandles) Create a new column vector based off of data already on the device with child columns.
ColumnView(DType type, long rows, Optional<Long> nullCount, BaseDeviceMemoryBuffer dataBuffer, BaseDeviceMemoryBuffer validityBuffer) Create a new column view based off of data already on the device.
ColumnView(DType type, long rows, Optional<Long> nullCount, BaseDeviceMemoryBuffer dataBuffer, BaseDeviceMemoryBuffer validityBuffer, BaseDeviceMemoryBuffer offsetBuffer) Create a new column view based off of data already on the device.
ColumnView(DType type, long rows, Optional<Long> nullCount, BaseDeviceMemoryBuffer validityBuffer, BaseDeviceMemoryBuffer offsetBuffer, ColumnView[] children) Create a new column view based off of data already on the device.
HostColumnVector(DType type, long rows, Optional<Long> nullCount, HostMemoryBuffer hostDataBuffer, HostMemoryBuffer hostValidityBuffer, HostMemoryBuffer offsetBuffer, List<HostColumnVectorCore> nestedHcv) Create a new column vector with data populated on the host.
HostColumnVectorCore(DType type, long rows, Optional<Long> nullCount, HostMemoryBuffer data, HostMemoryBuffer validity, HostMemoryBuffer offsets, List<HostColumnVectorCore> nestedChildren)

Uses of DType in ai.rapids.cudf.ast

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

Modifier and Type	Method and Description
static Literal	Literal.ofDurationFromLong(DType type, long value) Construct a long-based duration literal with the specified value.
static Literal	Literal.ofDurationFromLong(DType type, Long value) Construct a long-based duration literal with the specified value or null.
static Literal	Literal.ofNull(DType type) Construct a null literal of the specified type.
static Literal	Literal.ofTimestampFromLong(DType type, long value) Construct a long-based timestamp literal with the specified value.
static Literal	Literal.ofTimestampFromLong(DType type, Long value) Construct a long-based timestamp literal with the specified value or null.