Github user twalthr commented on a diff in the pull request:
https://github.com/apache/flink/pull/4471#discussion_r152760126
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/join/DataStreamInnerJoin.scala
---
@@ -0,0 +1,285 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * 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
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package org.apache.flink.table.runtime.join
+
+import org.apache.flink.api.common.functions.FlatJoinFunction
+import org.apache.flink.api.common.state._
+import org.apache.flink.api.common.typeinfo.TypeInformation
+import org.apache.flink.api.java.typeutils.TupleTypeInfo
+import org.apache.flink.configuration.Configuration
+import org.apache.flink.streaming.api.functions.co.CoProcessFunction
+import org.apache.flink.table.api.{StreamQueryConfig, Types}
+import org.apache.flink.table.runtime.CRowWrappingMultiOuputCollector
+import org.apache.flink.table.runtime.types.CRow
+import org.apache.flink.types.Row
+import org.apache.flink.util.Collector
+import org.apache.flink.api.java.tuple.{Tuple2 => JTuple2}
+import org.slf4j.LoggerFactory
+import org.apache.flink.table.codegen.Compiler
+
+
+/**
+ * Connect data for left stream and right stream. Only use for innerJoin.
+ *
+ * @param leftType the input type of left stream
+ * @param rightType the input type of right stream
+ * @param resultType the output type of join
+ * @param genJoinFuncName the function code of other non-equi condition
+ * @param genJoinFuncCode the function name of other non-equi condition
+ * @param queryConfig the configuration for the query to generate
+ */
+class DataStreamInnerJoin(
+ leftType: TypeInformation[Row],
+ rightType: TypeInformation[Row],
+ resultType: TypeInformation[CRow],
+ genJoinFuncName: String,
+ genJoinFuncCode: String,
+ queryConfig: StreamQueryConfig)
+ extends CoProcessFunction[CRow, CRow, CRow]
+ with Compiler[FlatJoinFunction[Row, Row, Row]] {
+
+ // state to hold left stream element
+ private var leftState: MapState[Row, JTuple2[Int, Long]] = _
+ // state to hold right stream element
+ private var rightState: MapState[Row, JTuple2[Int, Long]] = _
+ private var cRowWrapper: CRowWrappingMultiOuputCollector = _
+
+ private val minRetentionTime: Long =
queryConfig.getMinIdleStateRetentionTime
+ private val maxRetentionTime: Long =
queryConfig.getMaxIdleStateRetentionTime
+ private val stateCleaningEnabled: Boolean = minRetentionTime > 1
+
+ // state to record last timer of left stream, 0 means no timer
+ private var leftTimer: ValueState[Long] = _
+ // state to record last timer of right stream, 0 means no timer
+ private var rightTimer: ValueState[Long] = _
+
+ // other condition function
+ private var joinFunction: FlatJoinFunction[Row, Row, Row] = _
+
+ val LOG = LoggerFactory.getLogger(this.getClass)
--- End diff --
Use the new `with Logging` interface.
---
