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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2019/09/09 14:42:24 UTC

[GitHub] [incubator-hudi] vinothchandar commented on a change in pull request #871: [HUDI-217] Provide a unified resource management class to standardize the resource allocation and release for hudi client test cases

vinothchandar commented on a change in pull request #871: [HUDI-217] Provide a unified resource management class to standardize the resource allocation and release for hudi client test cases
URL: https://github.com/apache/incubator-hudi/pull/871#discussion_r322278317
 
 

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 File path: hudi-client/src/test/java/org/apache/hudi/HoodieClientTestHarness.java
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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.hudi;
+
+import java.io.File;
+import java.io.IOException;
+import java.io.Serializable;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.LocalFileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hdfs.DistributedFileSystem;
+import org.apache.hadoop.hdfs.MiniDFSCluster;
+import org.apache.hudi.common.HoodieClientTestUtils;
+import org.apache.hudi.common.HoodieTestDataGenerator;
+import org.apache.hudi.common.minicluster.HdfsTestService;
+import org.apache.hudi.common.model.HoodieTableType;
+import org.apache.hudi.common.model.HoodieTestUtils;
+import org.apache.hudi.common.util.FSUtils;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.SQLContext;
+import org.junit.rules.TemporaryFolder;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * The test harness for resource initialization and cleanup.
+ */
+public abstract class HoodieClientTestHarness implements Serializable {
+
+  private static final Logger logger = LoggerFactory.getLogger(HoodieClientTestHarness.class);
+
+  protected transient JavaSparkContext jsc = null;
+  protected transient SQLContext sqlContext;
+  protected transient FileSystem fs;
+  protected String basePath = null;
+  protected TemporaryFolder folder = null;
+  protected transient HoodieTestDataGenerator dataGen = null;
+  protected transient ExecutorService executorService;
+
+  //dfs
+  protected String dfsBasePath;
+  protected transient HdfsTestService hdfsTestService;
+  protected transient MiniDFSCluster dfsCluster;
+  protected transient DistributedFileSystem dfs;
+
+  protected void initSparkContexts(String appName) {
+    // Initialize a local spark env
+    jsc = new JavaSparkContext(HoodieClientTestUtils.getSparkConfForTest(appName));
+    jsc.setLogLevel("ERROR");
+
+    //SQLContext stuff
+    sqlContext = new SQLContext(jsc);
+  }
+
+  protected void initSparkContexts() {
+    initSparkContexts("TestHoodieClient");
+  }
+
+  protected void cleanupSparkContexts() {
+    if (sqlContext != null) {
+      logger.info("Clearing sql context cache of spark-session used in previous test-case");
+      sqlContext.clearCache();
+      sqlContext = null;
+    }
+
+    if (jsc != null) {
+      logger.info("Closing spark context used in previous test-case");
+      jsc.close();
+      jsc.stop();
+      jsc = null;
+    }
+  }
+
+  protected void initTempFolderAndPath() throws IOException {
+    folder = new TemporaryFolder();
+    folder.create();
+    basePath = folder.getRoot().getAbsolutePath();
+  }
+
+  protected void cleanupTempFolderAndPath() throws IOException {
+    if (basePath != null) {
+      new File(basePath).delete();
+    }
+
+    if (folder != null) {
+      logger.info("Explicitly removing workspace used in previously run test-case");
+      folder.delete();
+    }
+  }
+
+  protected void initFileSystem() {
+    if (basePath == null) {
+      throw new IllegalStateException("The base path has not been initialized.");
+    }
+
+    if (jsc == null) {
+      throw new IllegalStateException("The Spark context has not been initialized.");
+    }
+
+    fs = FSUtils.getFs(basePath, jsc.hadoopConfiguration());
+    if (fs instanceof LocalFileSystem) {
+      LocalFileSystem lfs = (LocalFileSystem) fs;
+      // With LocalFileSystem, with checksum disabled, fs.open() returns an inputStream which is FSInputStream
+      // This causes ClassCastExceptions in LogRecordScanner (and potentially other places) calling fs.open
+      // So, for the tests, we enforce checksum verification to circumvent the problem
+      lfs.setVerifyChecksum(true);
+    }
+  }
+
+  protected void initFileSystemWithDefaultConfiguration() {
+    fs = FSUtils.getFs(basePath, new Configuration());
+    if (fs instanceof LocalFileSystem) {
+      LocalFileSystem lfs = (LocalFileSystem) fs;
+      // With LocalFileSystem, with checksum disabled, fs.open() returns an inputStream which is FSInputStream
+      // This causes ClassCastExceptions in LogRecordScanner (and potentially other places) calling fs.open
+      // So, for the tests, we enforce checksum verification to circumvent the problem
+      lfs.setVerifyChecksum(true);
+    }
+  }
+
+  protected void cleanupFileSystem() throws IOException {
+    if (fs != null) {
+      logger.warn("Closing file-system instance used in previous test-run");
+      fs.close();
+    }
+  }
+
+  protected void initTableType() throws IOException {
 
 Review comment:
   docs on what these two protected methods are supposed to be doing? 

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