[HUDI-2225] Add a compaction job in hudi-examples

hudi-examples/src/main/scala/org/apache/hudi/examples/spark/HoodieMorCompactionJob.scala

@@ -0,0 +1,113 @@
+/*
+ * 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.examples.spark
+
+import org.apache.hudi.DataSourceWriteOptions.{PARTITIONPATH_FIELD_OPT_KEY, PRECOMBINE_FIELD_OPT_KEY, RECORDKEY_FIELD_OPT_KEY, TABLE_TYPE_OPT_KEY}
+import org.apache.hudi.QuickstartUtils.getQuickstartWriteConfigs
+import org.apache.hudi.client.SparkRDDWriteClient
+import org.apache.hudi.client.common.HoodieSparkEngineContext
+import org.apache.hudi.common.model.{HoodieAvroPayload, HoodieRecordPayload, HoodieTableType}
+import org.apache.hudi.common.util.Option
+import org.apache.hudi.config.HoodieWriteConfig.TABLE_NAME
+import org.apache.hudi.config.{HoodieCompactionConfig, HoodieWriteConfig}
+import org.apache.hudi.examples.common.{HoodieExampleDataGenerator, HoodieExampleSparkUtils}
+import org.apache.spark.sql.SaveMode.{Append, Overwrite}
+import org.apache.spark.sql.SparkSession
+
+import scala.collection.JavaConverters._
+
+/**
+ * Simple example to run a compaction job for MOR table.
+ * To run this example, you should:
+ *   1. For running in IDE, set VM options `-Dspark.master=local[2]`
+ *   2. For running in shell, using `spark-submit`
+ *
+ * Usage: HoodieMorCompactionJob <tablePath> <tableName>.
+ * <tablePath> and <tableName> describe root path of hudi and table name
+ * for example, `HoodieMorCompactionJob file:///tmp/hoodie/hudi_mor_table hudi_mor_table`
+ */
+object HoodieMorCompactionJob {
+
+  def main(args: Array[String]): Unit = {
+    if (args.length < 2) {
+      System.err.println("Usage: HoodieMorCompactionJob <tablePath> <tableName>")
+      System.exit(1)
+    }
+
+    val spark = HoodieExampleSparkUtils.defaultSparkSession("Hudi MOR table compaction via Spark example")
+    val dataGen = new HoodieExampleDataGenerator[HoodieAvroPayload]
+    val tablePath = args(0)
+    val tableName = args(1)
+    insertData(spark, tablePath, tableName, dataGen, HoodieTableType.MERGE_ON_READ.name())
+    updateData(spark, tablePath, tableName, dataGen, HoodieTableType.MERGE_ON_READ.name())
+    val cfg = HoodieWriteConfig.newBuilder()
+      .withPath(tablePath)
+      .withSchema(HoodieExampleDataGenerator.TRIP_EXAMPLE_SCHEMA)
+      .withParallelism(2, 2)
+      .forTable(tableName)
+      .withCompactionConfig(HoodieCompactionConfig.newBuilder()
+        .withInlineCompaction(true)
+        .withMaxNumDeltaCommitsBeforeCompaction(1).build())
+      .build()
+    val client = new SparkRDDWriteClient[HoodieRecordPayload[Nothing]](new HoodieSparkEngineContext(spark.sparkContext), cfg)
+    try {
+      val instant = client.scheduleCompaction(Option.empty())
+      client.compact(instant.get())
+      client.clean()
+    } catch {
+      case e: Exception => System.err.println(s"Compaction failed due to", e)
+    } finally {
+      client.close()
+      spark.stop()
+    }
+  }
+
+  def insertData(spark: SparkSession, tablePath: String, tableName: String,
+                 dataGen: HoodieExampleDataGenerator[HoodieAvroPayload], tableType: String): Unit = {
+    val commitTime: String = System.currentTimeMillis().toString
+    val inserts = dataGen.convertToStringList(dataGen.generateInserts(commitTime, 20))
+    val df = spark.read.json(spark.sparkContext.parallelize(inserts.asScala, 1))
+    df.write.format("org.apache.hudi").
+      options(getQuickstartWriteConfigs).
+      option(PRECOMBINE_FIELD_OPT_KEY.key, "ts").
+      option(RECORDKEY_FIELD_OPT_KEY.key, "uuid").
+      option(PARTITIONPATH_FIELD_OPT_KEY.key, "partitionpath").
+      option(TABLE_NAME.key, tableName).
+      option(TABLE_TYPE_OPT_KEY.key, tableType).
+      mode(Overwrite).
+      save(tablePath)
+  }
+
+  def updateData(spark: SparkSession, tablePath: String, tableName: String,
+                 dataGen: HoodieExampleDataGenerator[HoodieAvroPayload], tableType: String): Unit = {
+    val commitTime: String = System.currentTimeMillis().toString
+    val updates = dataGen.convertToStringList(dataGen.generateUpdates(commitTime, 10))
+    val df = spark.read.json(spark.sparkContext.parallelize(updates.asScala, 1))
+    df.write.format("org.apache.hudi").
+      options(getQuickstartWriteConfigs).
+      option(PRECOMBINE_FIELD_OPT_KEY.key, "ts").
+      option(RECORDKEY_FIELD_OPT_KEY.key, "uuid").
+      option(PARTITIONPATH_FIELD_OPT_KEY.key, "partitionpath").
+      option(TABLE_NAME.key, tableName).
+      option(TABLE_TYPE_OPT_KEY.key, tableType).
+      mode(Append).
+      save(tablePath)
+  }
+}