cloud-fan commented on a change in pull request #23430: [SPARK-26520][SQL] data
source v2 API refactor (micro-batch read)
URL: https://github.com/apache/spark/pull/23430#discussion_r249327956
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala
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@@ -90,36 +88,39 @@ class MicroBatchExecution(
logInfo(s"Using Source [$source] from DataSourceV1 named
'$sourceName' [$dataSourceV1]")
StreamingExecutionRelation(source, output)(sparkSession)
})
- case s @ StreamingRelationV2(
- dataSourceV2: MicroBatchReadSupportProvider, sourceName, options,
output, _) if
- !disabledSources.contains(dataSourceV2.getClass.getCanonicalName) =>
- v2ToExecutionRelationMap.getOrElseUpdate(s, {
+ case s @ StreamingRelationV2(ds, dsName, table: SupportsMicroBatchRead,
options, output, _)
+ if !disabledSources.contains(ds.getClass.getCanonicalName) =>
+ v2ToRelationMap.getOrElseUpdate(s, {
// Materialize source to avoid creating it in every batch
val metadataPath = s"$resolvedCheckpointRoot/sources/$nextSourceId"
- val readSupport = dataSourceV2.createMicroBatchReadSupport(
- metadataPath,
- new DataSourceOptions(options.asJava))
nextSourceId += 1
- readSupportToDataSourceMap(readSupport) = dataSourceV2 -> options
- logInfo(s"Using MicroBatchReadSupport [$readSupport] from " +
- s"DataSourceV2 named '$sourceName' [$dataSourceV2]")
- StreamingExecutionRelation(readSupport, output)(sparkSession)
+ logInfo(s"Reading table [$table] from DataSourceV2 named '$dsName'
[$ds]")
+ val dsOptions = new DataSourceOptions(options.asJava)
+ // TODO: operator pushdown.
Review comment:
It's not urgent, as no builtin streaming source supports pushdown yet. The
ds v2 API can handle pushdown, and our batch sources do support it.
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