Write protocol should be Apache Arrow #49
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| package tech.ytsaurus.client; | |||
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Will this class be moved to ytsaurus-client? Otherwise it should be moved to data-source/src/main/java
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It will be moved, yes.
| import tech.ytsaurus.core.tables.ColumnValueType | ||
| import tech.ytsaurus.spyt.serializers.SchemaConverter.MetadataFields | ||
| import tech.ytsaurus.spyt.serializers.YsonRowConverter.{isNull, serializeValue} | ||
| import tech.ytsaurus.spyt.serializers.YtLogicalType.Binary.tiType |
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A lot of imports of tiType can be confusing. I think we can import tech.ytsaurus.spyt.serializers.YtLogicalType._ and use tiType prefixed with its type.
| import scala.concurrent.duration.Duration | ||
| import scala.concurrent.{ExecutionContext, Future} | ||
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| class InternalRowSerializer(schema: StructType, writeSchemaConverter: WriteSchemaConverter) extends WireRowSerializer[InternalRow] with LogLazy { |
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I think we should preserve this old implementation and have a configuration flag which will allow us to switch between this and new write implementation to preserve backward compatibility. Moreover, I think in the next release the old implementation should be used by default and the arrow implementation will be considered as experimental and turned on explicitly.
| import tech.ytsaurus.spyt.types.YTsaurusTypes.instance.sparkTypeFor | ||
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| case object Null extends AtomicYtLogicalType("null", 0x02, ColumnValueType.NULL, TiType.nullType(), NullType) | ||
| case object Null extends AtomicYtLogicalType("null", 0x02, ColumnValueType.NULL, TiType.nullType(), NullType) { | ||
| override def ytGettersFromList(ytGetter: InternalRowYTGetters): ytGetter.FromList = new ytGetter.FromListToNull { |
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Can we have an abstract implementations of YtGetters so we don't need to implement it in every case object? Consider adding extra parameters to AtomicYtLogicalType
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@alextokarew has imported your pull request. If you are a Yandex employee, you can view this diff. |
clean up imports arrow_write_enabled config
Summary:
YTGetters<Row, List, Dict>is a new interface, which is going to be pushed to the YT-client. It works as a typeclass, while implementations of its inner abstract classes are responsible for adapting rows to the YT types. The typeclass thing did not work out so well, so I will probably rewrite this by pushing the generic parameters down to each abstract class and making them static.ArrowTableRowsSerializeris an implementation of writing YT-data via Apache Arrow protocol. The data is being received using the YT-getters. This is also supposed to be moved to the YT-client at some point.TableWriterBaseImplis copied from the YT-client to shadow the original class and patched to extend it with new functionality. Also is supposed to be moved to the YT-client.YTLogicalTypeinterfaces are extended with methods providingYTGettersimplementations, mapping Spark data to YT. This part is supposed to stay in our repository.All tests in
ComplexTypeV3Test, except the ones about the nested dates, are working. We will need to wait for a fix in YT-storage for that – https://github.com/ytsaurus/ytsaurus/pull/942/files