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author | Eric Liang <ekl@databricks.com> | 2016-09-28 16:20:49 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2016-09-28 16:20:49 -0700 |
commit | 557d6e32272dee4eaa0f426cc3e2f82ea361c3da (patch) | |
tree | 7b894d4d6c4b24b5dd7656ead74d461eefd5dfd9 /sql | |
parent | a6cfa3f38bcf6ba154d5ed2a53748fbc90c8872a (diff) | |
download | spark-557d6e32272dee4eaa0f426cc3e2f82ea361c3da.tar.gz spark-557d6e32272dee4eaa0f426cc3e2f82ea361c3da.tar.bz2 spark-557d6e32272dee4eaa0f426cc3e2f82ea361c3da.zip |
[SPARK-17713][SQL] Move row-datasource related tests out of JDBCSuite
## What changes were proposed in this pull request?
As a followup for https://github.com/apache/spark/pull/15273 we should move non-JDBC specific tests out of that suite.
## How was this patch tested?
Ran the test.
Author: Eric Liang <ekl@databricks.com>
Closes #15287 from ericl/spark-17713.
Diffstat (limited to 'sql')
-rw-r--r-- | sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/RowDataSourceStrategySuite.scala | 72 | ||||
-rw-r--r-- | sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala | 8 |
2 files changed, 72 insertions, 8 deletions
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/RowDataSourceStrategySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/RowDataSourceStrategySuite.scala new file mode 100644 index 0000000000..d9afa46353 --- /dev/null +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/RowDataSourceStrategySuite.scala @@ -0,0 +1,72 @@ +/* + * 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.spark.sql.execution.datasources + +import java.sql.DriverManager +import java.util.Properties + +import org.scalatest.BeforeAndAfter + +import org.apache.spark.SparkFunSuite +import org.apache.spark.sql.{DataFrame, Row} +import org.apache.spark.sql.sources._ +import org.apache.spark.sql.test.SharedSQLContext +import org.apache.spark.sql.types._ +import org.apache.spark.util.Utils + +class RowDataSourceStrategySuite extends SparkFunSuite with BeforeAndAfter with SharedSQLContext { + import testImplicits._ + + val url = "jdbc:h2:mem:testdb0" + val urlWithUserAndPass = "jdbc:h2:mem:testdb0;user=testUser;password=testPass" + var conn: java.sql.Connection = null + + before { + Utils.classForName("org.h2.Driver") + // Extra properties that will be specified for our database. We need these to test + // usage of parameters from OPTIONS clause in queries. + val properties = new Properties() + properties.setProperty("user", "testUser") + properties.setProperty("password", "testPass") + properties.setProperty("rowId", "false") + + conn = DriverManager.getConnection(url, properties) + conn.prepareStatement("create schema test").executeUpdate() + conn.prepareStatement("create table test.inttypes (a INT, b INT, c INT)").executeUpdate() + conn.prepareStatement("insert into test.inttypes values (1, 2, 3)").executeUpdate() + conn.commit() + sql( + s""" + |CREATE TEMPORARY TABLE inttypes + |USING org.apache.spark.sql.jdbc + |OPTIONS (url '$url', dbtable 'TEST.INTTYPES', user 'testUser', password 'testPass') + """.stripMargin.replaceAll("\n", " ")) + } + + after { + conn.close() + } + + test("SPARK-17673: Exchange reuse respects differences in output schema") { + val df = sql("SELECT * FROM inttypes") + val df1 = df.groupBy("a").agg("b" -> "min") + val df2 = df.groupBy("a").agg("c" -> "min") + val res = df1.union(df2) + assert(res.distinct().count() == 2) // would be 1 if the exchange was incorrectly reused + } +} diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala index c94cb3b69d..10f15ca280 100644 --- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala +++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala @@ -791,12 +791,4 @@ class JDBCSuite extends SparkFunSuite val schema = JdbcUtils.schemaString(df, "jdbc:mysql://localhost:3306/temp") assert(schema.contains("`order` TEXT")) } - - test("SPARK-17673: Exchange reuse respects differences in output schema") { - val df = sql("SELECT * FROM inttypes WHERE a IS NOT NULL") - val df1 = df.groupBy("a").agg("c" -> "min") - val df2 = df.groupBy("a").agg("d" -> "min") - val res = df1.union(df2) - assert(res.distinct().count() == 2) // would be 1 if the exchange was incorrectly reused - } } |