[GitHub] [incubator-hudi] hddong commented on a change in pull request #1554: [HUDI-704]Add test for RepairsCommand

[GitBox <gi...@apache.org>]

hddong commented on a change in pull request #1554:
URL: https://github.com/apache/incubator-hudi/pull/1554#discussion_r416283181



##########
File path: hudi-cli/src/test/java/org/apache/hudi/cli/integ/ITTestRepairsCommand.java
##########
@@ -0,0 +1,170 @@
+/*
+ * 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.cli.integ;
+
+import org.apache.avro.Schema;
+import org.apache.hadoop.fs.FileStatus;
+import org.apache.hadoop.fs.Path;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.cli.AbstractShellIntegrationTest;
+import org.apache.hudi.cli.HoodieCLI;
+import org.apache.hudi.cli.commands.RepairsCommand;
+import org.apache.hudi.cli.commands.TableCommand;
+import org.apache.hudi.common.HoodieClientTestUtils;
+import org.apache.hudi.common.HoodieTestDataGenerator;
+import org.apache.hudi.common.fs.FSUtils;
+import org.apache.hudi.common.model.HoodieLogFile;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieTableType;
+import org.apache.hudi.common.table.HoodieTableMetaClient;
+import org.apache.hudi.common.table.timeline.versioning.TimelineLayoutVersion;
+import org.apache.hudi.common.table.view.HoodieTableFileSystemView;
+import org.apache.hudi.common.util.SchemaTestUtil;
+import org.apache.spark.sql.Dataset;
+
+import org.junit.Before;
+import org.junit.Test;
+import org.springframework.shell.core.CommandResult;
+
+import java.io.File;
+import java.io.IOException;
+import java.net.URISyntaxException;
+import java.util.Arrays;
+import java.util.List;
+import java.util.UUID;
+import java.util.stream.Collectors;
+
+import static org.apache.spark.sql.functions.lit;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Integration test class for {@link RepairsCommand#deduplicate}.
+ */
+public class ITTestRepairsCommand extends AbstractShellIntegrationTest {
+  String duplicatedPartitionPath;
+  String repairedOutputPath;
+
+  @Before
+  public void init() throws IOException, URISyntaxException {
+    String tablePath = basePath + File.separator + "test_table";
+    duplicatedPartitionPath = tablePath + File.separator + HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH;
+    repairedOutputPath = basePath + File.separator + "tmp";
+
+    HoodieCLI.conf = jsc.hadoopConfiguration();
+
+    // Create table and connect
+    new TableCommand().createTable(
+        tablePath, "test_table", HoodieTableType.COPY_ON_WRITE.name(),
+        "", TimelineLayoutVersion.VERSION_1, "org.apache.hudi.common.model.HoodieAvroPayload");
+
+    // generate 200 records
+    Schema schema = HoodieAvroUtils.addMetadataFields(SchemaTestUtil.getSimpleSchema());
+
+    String fileName1 = "1_0_20160401010101.parquet";
+    String fileName2 = "2_0_20160401010101.parquet";
+
+    List<HoodieRecord> hoodieRecords1 = SchemaTestUtil.generateHoodieTestRecords(0, 100, schema);
+    HoodieClientTestUtils.writeParquetFile(tablePath, HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH,
+        fileName1, hoodieRecords1, schema, null, false);
+    List<HoodieRecord> hoodieRecords2 = SchemaTestUtil.generateHoodieTestRecords(100, 100, schema);
+    HoodieClientTestUtils.writeParquetFile(tablePath, HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH,
+        fileName2, hoodieRecords2, schema, null, false);
+
+    // generate commit file
+    String fileId1 = UUID.randomUUID().toString();
+    String testWriteToken = "1-0-1";
+    String commitTime = FSUtils.getCommitTime(fileName1);
+    new File(duplicatedPartitionPath + "/"
+        + FSUtils.makeLogFileName(fileId1, HoodieLogFile.DELTA_EXTENSION, commitTime, 1, testWriteToken))
+        .createNewFile();
+    new File(tablePath + "/.hoodie/" + commitTime + ".commit").createNewFile();
+
+    // read records and get 10 to generate duplicates
+    Dataset df = sqlContext.read().parquet(duplicatedPartitionPath);
+
+    String fileName3 = "3_0_20160401010101.parquet";
+    df.limit(10).withColumn("_hoodie_commit_time", lit("20160401010202"))

Review comment:
       > This seems a bit misleading. If the file has time of 20160401010101, how can the records have time of 20160401010202? Rather we should have the file as 3_0_20160401010202.parquet and generate one more .commit file in meta folder for this.
   > 
   > Please correct me if I am missing something.
   
   Yes, you are right, it maybe cause misleading, had address it, 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:
users@infra.apache.org