| Method and Description |
|---|
| ai.rapids.cudf.Table.GroupByOperation.aggregateWindowsOverTimeRanges(AggregationOverWindow...)
use aggregateWindowsOverRanges
|
| ai.rapids.cudf.ColumnView.all(DType)
the only output type supported is BOOL8.
|
| ai.rapids.cudf.HostColumnVector.ColumnBuilder.incrCurrentIndex() |
| ai.rapids.cudf.DType.isTimestamp() |
| ai.rapids.cudf.ColumnView.logicalCastTo(DType)
this has changed to bit_cast in C++ so use that name instead
|
| ai.rapids.cudf.ColumnView.max(DType)
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.
|
| ai.rapids.cudf.ColumnView.min(DType)
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.
|
| ai.rapids.cudf.Table.TableOperation.partition(int) |
| ai.rapids.cudf.WindowOptions.Builder.timestampAscending()
Use orderByAscending()
|
| ai.rapids.cudf.WindowOptions.Builder.timestampColumnIndex(int)
Use orderByColumnIndex(int index)
|
| ai.rapids.cudf.WindowOptions.Builder.timestampDescending()
Use orderByDescending()
|
| ai.rapids.cudf.Table.writeORC(File)
please use writeORCChunked instead
|
| ai.rapids.cudf.Table.writeORC(ORCWriterOptions, File)
please use writeORCChunked instead
|
| ai.rapids.cudf.Table.writeParquet(ParquetWriterOptions, File)
please use writeParquetChunked instead
|
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