Github user sarutak commented on a diff in the pull request:
https://github.com/apache/spark/pull/2939#discussion_r19392347
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/SQLRangeJoinSuite.scala
---
@@ -0,0 +1,81 @@
+/**
+ * Licensed to Big Data Genomics (BDG) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The BDG 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.spark.sql.execution
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{SQLContext, QueryTest}
+import org.apache.spark.sql.test._
+import TestSQLContext._
+
+case class RecordData1(start1: Long, end1: Long) extends Serializable
+case class RecordData2(start2: Long, end2: Long) extends Serializable
+
+class SQLRangeJoinSuite extends QueryTest {
+
+
+ val sc = TestSQLContext.sparkContext
+ val sqlContext = new SQLContext(sc)
+ import sqlContext._
+
+ test("joining non overlappings results into no entries"){
+
+ val rdd1 = sc.parallelize(Seq((1L,5L), (2L,7L))).map(i =>
RecordData1(i._1, i._2))
+ val rdd2 = sc.parallelize(Seq((11L,44L), (23L, 45L))).map(i =>
RecordData2(i._1, i._2))
+
+ rdd1.registerTempTable("t1")
+ rdd2.registerTempTable("t2")
+ checkAnswer(
+ sql("select * from t1 RANGEJOIN t2 on OVERLAPS( (start1, end1),
(start2, end2))"),
+ Nil
+ )
+
+ }
+
+ test("basic range join"){
+ val rdd1 = sc.parallelize(Seq((100L, 199L),
+ (200L, 299L),
+ (400L, 600L),
+ (10000L, 20000L)))
+ .map(i => RecordData1(i._1, i._2))
+
+ val rdd2 = sc.parallelize(Seq((150L, 250L),
+ (300L, 500L),
+ (500L, 700L),
+ (22000L, 22300L)))
+ .map(i => RecordData2(i._1, i._2))
+
+ rdd1.registerTempTable("s1")
+ rdd2.registerTempTable("s2")
+
+
+ checkAnswer(
+ sql("select start1, end1, start2, end2 from s1 RANGEJOIN s2 on
OVERLAPS( (start1, end1), (start2, end2))"),
+ (100L, 199L, 150L, 250L) ::
+ (200L, 299L, 150L, 250L) ::
+ (400L, 600L, 300L, 500L) ::
+ (400L, 600L, 500L, 700L) :: Nil
+ )
+
+ checkAnswer(
+ sql("select end1 from s1 RANGEJOIN s2 on OVERLAPS( (start1, end1),
(start2, end2))"),
+ Seq(199L) :: Seq(299L) :: Seq(600L) :: Seq(600L) :: Nil
+ )
+ }
+
+
--- End diff --
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