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https://issues.apache.org/jira/browse/FLINK-8577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16702617#comment-16702617
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ASF GitHub Bot commented on FLINK-8577:
---------------------------------------
hequn8128 commented on a change in pull request #6787: [FLINK-8577][table]
Implement proctime DataStream to Table upsert conversion
URL: https://github.com/apache/flink/pull/6787#discussion_r237328431
##########
File path:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/calcite/RelTimeIndicatorConverter.scala
##########
@@ -165,7 +165,30 @@ class RelTimeIndicatorConverter(rexBuilder: RexBuilder)
extends RelShuttle {
override def visit(exchange: LogicalExchange): RelNode =
throw new TableException("Logical exchange in a stream environment is not
supported yet.")
- override def visit(scan: TableScan): RelNode = scan
+ override def visit(scan: TableScan): RelNode = {
+ val upsertStreamTable = scan.getTable.unwrap(classOf[UpsertStreamTable[_]])
+ if (upsertStreamTable != null) {
+ val relTypes = scan.getRowType.getFieldList.map(_.getType)
+ val timeIndicatorIndexes = relTypes.zipWithIndex
+ .filter(e => FlinkTypeFactory.isTimeIndicatorType(e._1))
+ .map(_._2)
+ val input = if (timeIndicatorIndexes.nonEmpty) {
+ // materialize time indicator
+ val rewrittenScan = scan.copy(scan.getTraitSet, scan.getInputs)
+ materializerUtils.projectAndMaterializeFields(rewrittenScan,
timeIndicatorIndexes.toSet)
+ } else {
+ scan
+ }
+
+ LogicalLastRow.create(
Review comment:
You are right.
Currently, there is no such no-op node in the execution plan. If you still
concern with the no-op node in the optimization plan, I can add a rule in the
RetractionRules to remove it. In this way, we can name `LastRow` to
`UpsertToRetractionConverter`. What do you think?
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> Implement proctime DataStream to Table upsert conversion.
> ---------------------------------------------------------
>
> Key: FLINK-8577
> URL: https://issues.apache.org/jira/browse/FLINK-8577
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Hequn Cheng
> Assignee: Hequn Cheng
> Priority: Major
> Labels: pull-request-available
>
> Api will looks like:
> {code:java}
> DataStream[(String, Long, Int)] input = ???
> // upsert with keyTable
> table = tEnv.upsertFromStream(input, 'a, 'b, 'c.key)
> // upsert without key -> single row tableTable
> table = tEnv.upsertFromStream(input, 'a, 'b, 'c){code}
> A simple design
> [doc|https://docs.google.com/document/d/1yMEi9xkm3pNYNmmZykbLzqtKjFVezaWe0y7Xqd0c1zE/edit?usp=sharing]
> about this subtask.
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