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org.apache.flink.table.planner.plan.rules.physical.stream.StreamPhysicalTableSourceScanRule.scala Maven / Gradle / Ivy

/*
 * Licensed to the Apache Software Foundation (ASF) under one
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 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
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package org.apache.flink.table.planner.plan.rules.physical.stream

import org.apache.flink.table.connector.source.ScanTableSource
import org.apache.flink.table.planner.plan.`trait`.FlinkRelDistribution
import org.apache.flink.table.planner.plan.nodes.FlinkConventions
import org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalTableSourceScan
import org.apache.flink.table.planner.plan.nodes.physical.stream.{StreamPhysicalChangelogNormalize, StreamPhysicalTableSourceScan}
import org.apache.flink.table.planner.plan.schema.TableSourceTable
import org.apache.flink.table.planner.plan.utils.ScanUtil
import org.apache.flink.table.planner.connectors.DynamicSourceUtils.{isSourceChangeEventsDuplicate, isUpsertSource}
import org.apache.flink.table.planner.utils.ShortcutUtils

import org.apache.calcite.plan.{RelOptRule, RelOptRuleCall, RelTraitSet}
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.convert.ConverterRule
import org.apache.calcite.rel.core.TableScan

/**
  * Rule that converts [[FlinkLogicalTableSourceScan]] to [[StreamPhysicalTableSourceScan]].
 *
 * 

Depends whether this is a scan source, this rule will also generate * [[StreamPhysicalChangelogNormalize]] to materialize the upsert stream. */ class StreamPhysicalTableSourceScanRule extends ConverterRule( classOf[FlinkLogicalTableSourceScan], FlinkConventions.LOGICAL, FlinkConventions.STREAM_PHYSICAL, "StreamPhysicalTableSourceScanRule") { /** Rule must only match if TableScan targets a [[ScanTableSource]] */ override def matches(call: RelOptRuleCall): Boolean = { val scan: TableScan = call.rel(0).asInstanceOf[TableScan] val tableSourceTable = scan.getTable.unwrap(classOf[TableSourceTable]) tableSourceTable match { case tst: TableSourceTable => tst.tableSource match { case _: ScanTableSource => true case _ => false } case _ => false } } def convert(rel: RelNode): RelNode = { val scan = rel.asInstanceOf[FlinkLogicalTableSourceScan] val traitSet: RelTraitSet = rel.getTraitSet.replace(FlinkConventions.STREAM_PHYSICAL) val config = ShortcutUtils.unwrapContext(rel.getCluster).getTableConfig val table = scan.getTable.asInstanceOf[TableSourceTable] val newScan = new StreamPhysicalTableSourceScan( rel.getCluster, traitSet, scan.getHints, table) if (isUpsertSource(table.catalogTable, table.tableSource) || isSourceChangeEventsDuplicate(table.catalogTable, table.tableSource, config)) { // generate changelog normalize node // primary key has been validated in CatalogSourceTable val primaryKey = table.catalogTable.getSchema.getPrimaryKey.get() val keyFields = primaryKey.getColumns val inputFieldNames = newScan.getRowType.getFieldNames val primaryKeyIndices = ScanUtil.getPrimaryKeyIndices(inputFieldNames, keyFields) val requiredDistribution = FlinkRelDistribution.hash(primaryKeyIndices, requireStrict = true) val requiredTraitSet = rel.getCluster.getPlanner.emptyTraitSet() .replace(requiredDistribution) .replace(FlinkConventions.STREAM_PHYSICAL) val newInput: RelNode = RelOptRule.convert(newScan, requiredTraitSet) new StreamPhysicalChangelogNormalize( scan.getCluster, traitSet, newInput, primaryKeyIndices) } else { newScan } } } object StreamPhysicalTableSourceScanRule { val INSTANCE = new StreamPhysicalTableSourceScanRule }





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