huaxingao commented on a change in pull request #29396:
URL: https://github.com/apache/spark/pull/29396#discussion_r480869414



##########
File path: sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala
##########
@@ -0,0 +1,200 @@
+/*
+ * 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.jdbc
+
+import java.sql.{Connection, DriverManager}
+import java.util.Properties
+
+import org.apache.spark.SparkConf
+import org.apache.spark.sql.{QueryTest, Row}
+import 
org.apache.spark.sql.catalyst.analysis.CannotReplaceMissingTableException
+import org.apache.spark.sql.catalyst.plans.logical.Filter
+import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
+import org.apache.spark.sql.execution.datasources.v2.jdbc.JDBCTableCatalog
+import org.apache.spark.sql.functions.lit
+import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.util.Utils
+
+class JDBCV2Suite extends QueryTest with SharedSparkSession {
+  import testImplicits._
+
+  val tempDir = Utils.createTempDir()
+  val url = 
s"jdbc:h2:${tempDir.getCanonicalPath};user=testUser;password=testPass"
+  var conn: java.sql.Connection = null
+
+  override def sparkConf: SparkConf = super.sparkConf
+    .set("spark.sql.catalog.h2", classOf[JDBCTableCatalog].getName)
+    .set("spark.sql.catalog.h2.url", url)
+    .set("spark.sql.catalog.h2.driver", "org.h2.Driver")
+
+  private def withConnection[T](f: Connection => T): T = {
+    val conn = DriverManager.getConnection(url, new Properties())
+    try {
+      f(conn)
+    } finally {
+      conn.close()
+    }
+  }
+
+  override def beforeAll(): Unit = {
+    super.beforeAll()
+    Utils.classForName("org.h2.Driver")
+    withConnection { conn =>
+      conn.prepareStatement("CREATE SCHEMA \"test\"").executeUpdate()
+      conn.prepareStatement(
+        "CREATE TABLE \"test\".\"empty_table\" (name TEXT(32) NOT NULL, id 
INTEGER NOT NULL)")
+        .executeUpdate()
+      conn.prepareStatement(
+        "CREATE TABLE \"test\".\"people\" (name TEXT(32) NOT NULL, id INTEGER 
NOT NULL)")
+        .executeUpdate()
+      conn.prepareStatement("INSERT INTO \"test\".\"people\" VALUES ('fred', 
1)").executeUpdate()
+      conn.prepareStatement("INSERT INTO \"test\".\"people\" VALUES ('mary', 
2)").executeUpdate()
+    }
+  }
+
+  override def afterAll(): Unit = {
+    Utils.deleteRecursively(tempDir)
+    super.afterAll()
+  }
+
+  test("simple scan") {
+    checkAnswer(sql("SELECT * FROM h2.test.empty_table"), Seq())
+    checkAnswer(sql("SELECT * FROM h2.test.people"), Seq(Row("fred", 1), 
Row("mary", 2)))
+    checkAnswer(sql("SELECT name, id FROM h2.test.people"), Seq(Row("fred", 
1), Row("mary", 2)))
+  }
+
+  test("scan with filter push-down") {
+    val df = spark.table("h2.test.people").filter($"id" > 1)
+    val filters = df.queryExecution.optimizedPlan.collect {
+      case f: Filter => f
+    }
+    assert(filters.isEmpty)
+    checkAnswer(df, Row("mary", 2))
+  }
+
+  test("scan with column pruning") {
+    val df = spark.table("h2.test.people").select("id")
+    val scan = df.queryExecution.optimizedPlan.collectFirst {
+      case s: DataSourceV2ScanRelation => s
+    }.get
+    assert(scan.schema.names.sameElements(Seq("ID")))
+    checkAnswer(df, Seq(Row(1), Row(2)))
+  }
+
+  test("scan with filter push-down and column pruning") {
+    val df = spark.table("h2.test.people").filter($"id" > 1).select("name")
+    val filters = df.queryExecution.optimizedPlan.collect {
+      case f: Filter => f
+    }
+    assert(filters.isEmpty)
+    val scan = df.queryExecution.optimizedPlan.collectFirst {
+      case s: DataSourceV2ScanRelation => s
+    }.get
+    assert(scan.schema.names.sameElements(Seq("NAME")))
+    checkAnswer(df, Row("mary"))
+  }
+
+  test("scan with partition info") {

Review comment:
       I updated the test. Could you please take a look when you have time? 
Thanks!




----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to 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



---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to