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Matthis Gördel
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Add example suite
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.spark.sql.connect
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import org.apache.spark.sql
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class ExampleConnectSuite extends sql.SparkSessionBinder
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.spark.sql
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class ExampleSuite extends SparkSessionBinder {
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test("replaceWhere with partitioned table preserves all partitions") {
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withTable("foo") {
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val data = Seq(
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(1, "Alice", 29),
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(2, "Bob", 35),
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(3, "Charlie", 23),
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)
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val df = spark.createDataFrame(data).toDF("id", "name", "age")
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df.write.partitionBy("age").format("delta").saveAsTable("foo")
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val data1 = Seq((1, "Blice", 29))
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val df1 = spark.createDataFrame(data1).toDF("id", "name", "age")
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df1.write
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.format("delta")
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.option("replaceWhere", "age = 29")
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.mode("overwrite")
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.saveAsTable("foo")
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assert(spark.sql("SHOW PARTITIONS foo").count() == 3)
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}
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}
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}

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