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DatasourceV2SQLBase.scala
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DatasourceV2SQLBase.scala
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/*
* 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.connector
import org.scalatest.BeforeAndAfter
import org.apache.spark.sql.QueryTest
import org.apache.spark.sql.connector.catalog.{CatalogPlugin, InMemoryCatalog, InMemoryPartitionTableCatalog, StagingInMemoryTableCatalog}
import org.apache.spark.sql.internal.SQLConf.V2_SESSION_CATALOG_IMPLEMENTATION
import org.apache.spark.sql.test.SharedSparkSession
trait DatasourceV2SQLBase
extends QueryTest with SharedSparkSession with BeforeAndAfter {
protected def catalog(name: String): CatalogPlugin = {
spark.sessionState.catalogManager.catalog(name)
}
before {
spark.conf.set("spark.sql.catalog.testcat", classOf[InMemoryCatalog].getName)
spark.conf.set("spark.sql.catalog.testpart", classOf[InMemoryPartitionTableCatalog].getName)
spark.conf.set(
"spark.sql.catalog.testcat_atomic", classOf[StagingInMemoryTableCatalog].getName)
spark.conf.set("spark.sql.catalog.testcat2", classOf[InMemoryCatalog].getName)
spark.conf.set(
V2_SESSION_CATALOG_IMPLEMENTATION.key, classOf[InMemoryTableSessionCatalog].getName)
val df = spark.createDataFrame(Seq((1L, "a"), (2L, "b"), (3L, "c"))).toDF("id", "data")
df.createOrReplaceTempView("source")
val df2 = spark.createDataFrame(Seq((4L, "d"), (5L, "e"), (6L, "f"))).toDF("id", "data")
df2.createOrReplaceTempView("source2")
}
after {
spark.sessionState.catalog.reset()
spark.sessionState.catalogManager.reset()
spark.sessionState.conf.clear()
}
}