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ASF GitHub Bot commented on FLINK-8577: --------------------------------------- pnowojski 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_r236195894 ########## 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[_]]) + val relTypes = scan.getRowType.getFieldList.map(_.getType) + val getTimeIndicatorIndexes = relTypes.zipWithIndex + .filter(e => FlinkTypeFactory.isTimeIndicatorType(e._1)) + .map(_._2) + if (upsertStreamTable != null) { + val input = if (getTimeIndicatorIndexes.size > 0) { + // materialize time indicator + val rewrittenScan = scan.copy(scan.getTraitSet, scan.getInputs) + materializerUtils.projectAndMaterializeFields(rewrittenScan, getTimeIndicatorIndexes.toSet) + } else { + scan + } + + LogicalLastRow.create( Review comment: But you could probably add this node when changing convention. We assume that `TabelScan` rel node represents all kinds of table scans and it always can produce retractions, while for some stage (`FlinkLogical`?) we freeze it to either retractions/upserts. Regardless of that, `RelTimeIndicatorConverter.scala` is not the right place to create `LogicalLastRow`. You could also add a single pass rule, that is applied only once, that inserts upsert -> retraction conversion. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)