| /* |
| * 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.iceberg.actions; |
| |
| import java.io.File; |
| import java.util.List; |
| import java.util.Map; |
| import org.apache.iceberg.relocated.com.google.common.collect.Maps; |
| import org.apache.iceberg.spark.SparkCatalog; |
| import org.apache.iceberg.spark.SparkSchemaUtil; |
| import org.apache.iceberg.spark.SparkSessionCatalog; |
| import org.apache.iceberg.spark.source.SparkTable; |
| import org.apache.spark.sql.connector.catalog.Identifier; |
| import org.apache.spark.sql.connector.expressions.Transform; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| public class TestRemoveOrphanFilesAction3 extends TestRemoveOrphanFilesAction { |
| @Test |
| public void testSparkCatalogTable() throws Exception { |
| spark.conf().set("spark.sql.catalog.mycat", "org.apache.iceberg.spark.SparkCatalog"); |
| spark.conf().set("spark.sql.catalog.mycat.type", "hadoop"); |
| spark.conf().set("spark.sql.catalog.mycat.warehouse", tableLocation); |
| SparkCatalog cat = (SparkCatalog) spark.sessionState().catalogManager().catalog("mycat"); |
| |
| String[] database = {"default"}; |
| Identifier id = Identifier.of(database, "table"); |
| Map<String, String> options = Maps.newHashMap(); |
| Transform[] transforms = {}; |
| cat.createTable(id, SparkSchemaUtil.convert(SCHEMA), transforms, options); |
| SparkTable table = cat.loadTable(id); |
| |
| spark.sql("INSERT INTO mycat.default.table VALUES (1,1,1)"); |
| |
| String location = table.table().location().replaceFirst("file:", ""); |
| new File(location + "/data/trashfile").createNewFile(); |
| |
| List<String> results = Actions.forTable(table.table()).removeOrphanFiles() |
| .olderThan(System.currentTimeMillis() + 1000).execute(); |
| Assert.assertTrue("trash file should be removed", |
| results.contains("file:" + location + "/data/trashfile")); |
| } |
| |
| @Test |
| public void testSparkCatalogNamedHadoopTable() throws Exception { |
| spark.conf().set("spark.sql.catalog.hadoop", "org.apache.iceberg.spark.SparkCatalog"); |
| spark.conf().set("spark.sql.catalog.hadoop.type", "hadoop"); |
| spark.conf().set("spark.sql.catalog.hadoop.warehouse", tableLocation); |
| SparkCatalog cat = (SparkCatalog) spark.sessionState().catalogManager().catalog("hadoop"); |
| |
| String[] database = {"default"}; |
| Identifier id = Identifier.of(database, "table"); |
| Map<String, String> options = Maps.newHashMap(); |
| Transform[] transforms = {}; |
| cat.createTable(id, SparkSchemaUtil.convert(SCHEMA), transforms, options); |
| SparkTable table = cat.loadTable(id); |
| |
| spark.sql("INSERT INTO hadoop.default.table VALUES (1,1,1)"); |
| |
| String location = table.table().location().replaceFirst("file:", ""); |
| new File(location + "/data/trashfile").createNewFile(); |
| |
| List<String> results = Actions.forTable(table.table()).removeOrphanFiles() |
| .olderThan(System.currentTimeMillis() + 1000).execute(); |
| Assert.assertTrue("trash file should be removed", |
| results.contains("file:" + location + "/data/trashfile")); |
| } |
| |
| @Test |
| public void testSparkCatalogNamedHiveTable() throws Exception { |
| spark.conf().set("spark.sql.catalog.hive", "org.apache.iceberg.spark.SparkCatalog"); |
| spark.conf().set("spark.sql.catalog.hive.type", "hadoop"); |
| spark.conf().set("spark.sql.catalog.hive.warehouse", tableLocation); |
| SparkCatalog cat = (SparkCatalog) spark.sessionState().catalogManager().catalog("hive"); |
| |
| String[] database = {"default"}; |
| Identifier id = Identifier.of(database, "table"); |
| Map<String, String> options = Maps.newHashMap(); |
| Transform[] transforms = {}; |
| cat.createTable(id, SparkSchemaUtil.convert(SCHEMA), transforms, options); |
| SparkTable table = cat.loadTable(id); |
| |
| spark.sql("INSERT INTO hive.default.table VALUES (1,1,1)"); |
| |
| String location = table.table().location().replaceFirst("file:", ""); |
| new File(location + "/data/trashfile").createNewFile(); |
| |
| List<String> results = Actions.forTable(table.table()).removeOrphanFiles() |
| .olderThan(System.currentTimeMillis() + 1000).execute(); |
| Assert.assertTrue("trash file should be removed", |
| results.contains("file:" + location + "/data/trashfile")); |
| } |
| |
| @Test |
| public void testSparkSessionCatalogHadoopTable() throws Exception { |
| spark.conf().set("spark.sql.catalog.spark_catalog", "org.apache.iceberg.spark.SparkSessionCatalog"); |
| spark.conf().set("spark.sql.catalog.spark_catalog.type", "hadoop"); |
| spark.conf().set("spark.sql.catalog.spark_catalog.warehouse", tableLocation); |
| SparkSessionCatalog cat = (SparkSessionCatalog) spark.sessionState().catalogManager().v2SessionCatalog(); |
| |
| String[] database = {"default"}; |
| Identifier id = Identifier.of(database, "table"); |
| Map<String, String> options = Maps.newHashMap(); |
| Transform[] transforms = {}; |
| cat.createTable(id, SparkSchemaUtil.convert(SCHEMA), transforms, options); |
| SparkTable table = (SparkTable) cat.loadTable(id); |
| |
| spark.sql("INSERT INTO default.table VALUES (1,1,1)"); |
| |
| String location = table.table().location().replaceFirst("file:", ""); |
| new File(location + "/data/trashfile").createNewFile(); |
| |
| List<String> results = Actions.forTable(table.table()).removeOrphanFiles() |
| .olderThan(System.currentTimeMillis() + 1000).execute(); |
| Assert.assertTrue("trash file should be removed", |
| results.contains("file:" + location + "/data/trashfile")); |
| // reset spark_catalog to default |
| spark.conf().unset("spark.sql.catalog.spark_catalog"); |
| spark.conf().unset("spark.sql.catalog.spark_catalog.type"); |
| spark.conf().unset("spark.sql.catalog.spark_catalog.warehouse"); |
| } |
| |
| @Test |
| public void testSparkSessionCatalogHiveTable() throws Exception { |
| spark.conf().set("spark.sql.catalog.spark_catalog", "org.apache.iceberg.spark.SparkSessionCatalog"); |
| spark.conf().set("spark.sql.catalog.spark_catalog.type", "hive"); |
| SparkSessionCatalog cat = (SparkSessionCatalog) spark.sessionState().catalogManager().v2SessionCatalog(); |
| |
| String[] database = {"default"}; |
| Identifier id = Identifier.of(database, "sessioncattest"); |
| Map<String, String> options = Maps.newHashMap(); |
| Transform[] transforms = {}; |
| cat.dropTable(id); |
| cat.createTable(id, SparkSchemaUtil.convert(SCHEMA), transforms, options); |
| SparkTable table = (SparkTable) cat.loadTable(id); |
| |
| spark.sql("INSERT INTO default.sessioncattest VALUES (1,1,1)"); |
| |
| String location = table.table().location().replaceFirst("file:", ""); |
| new File(location + "/data/trashfile").createNewFile(); |
| |
| List<String> results = Actions.forTable(table.table()).removeOrphanFiles() |
| .olderThan(System.currentTimeMillis() + 1000).execute(); |
| Assert.assertTrue("trash file should be removed", |
| results.contains("file:" + location + "/data/trashfile")); |
| // reset spark_catalog to default |
| spark.conf().unset("spark.sql.catalog.spark_catalog"); |
| spark.conf().unset("spark.sql.catalog.spark_catalog.type"); |
| } |
| |
| } |