| /* |
| * 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.integ.testsuite.utils; |
| |
| import java.util.List; |
| import org.apache.avro.Schema; |
| import org.apache.avro.generic.GenericRecord; |
| import org.apache.hudi.AvroConversionUtils; |
| import org.apache.hudi.common.testutils.HoodieTestDataGenerator; |
| import org.apache.hudi.utilities.schema.RowBasedSchemaProvider; |
| import org.apache.spark.api.java.JavaRDD; |
| import org.apache.spark.api.java.JavaSparkContext; |
| import org.apache.spark.sql.SparkSession; |
| |
| /** |
| * A utility class for testing purpose. |
| */ |
| public class TestUtils { |
| |
| /** |
| * Create a RDD of generic records for testing purposes. |
| */ |
| public static JavaRDD<GenericRecord> makeRDD(JavaSparkContext jsc, int numRecords) { |
| return jsc.parallelize(generateGenericRecords(numRecords)); |
| } |
| |
| /** |
| * Generate generic records. |
| */ |
| public static List<GenericRecord> generateGenericRecords(int numRecords) { |
| HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator(); |
| return dataGenerator.generateGenericRecords(numRecords); |
| } |
| |
| /** |
| * Method helps to create avro files and save it to file. |
| * |
| * @param jsc Java Spark Context jsc. |
| * @param sparkSession Spark Session, the entry point to programming Spark with the Dataset and DataFrame API. |
| * @param basePath The basePath where files are written. |
| * @param numFiles The number of files to create. |
| * @param numRecordsPerFile The number of records per file. |
| */ |
| public static void createAvroFiles(JavaSparkContext jsc, SparkSession sparkSession, String basePath, int numFiles, |
| int numRecordsPerFile) { |
| Schema schema = HoodieTestDataGenerator.AVRO_SCHEMA; |
| for (int i = 0; i < numFiles; i++) { |
| JavaRDD<GenericRecord> rdd = makeRDD(jsc, numRecordsPerFile); |
| AvroConversionUtils.createDataFrame(rdd.rdd(), schema.toString(), sparkSession).write() |
| .format("avro").option("recordName", RowBasedSchemaProvider.HOODIE_RECORD_STRUCT_NAME) |
| .option("recordNamespace", RowBasedSchemaProvider.HOODIE_RECORD_NAMESPACE).save(basePath + "/" + i); |
| } |
| } |
| |
| public static Schema getSchema() { |
| return HoodieTestDataGenerator.AVRO_SCHEMA; |
| } |
| |
| } |