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[FLINK-14703][e2e] Port the Kafka SQL related tests.
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...ts-common-kafka/src/test/java/org/apache/flink/tests/util/kafka/SQLClientKafkaITCase.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:https://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. | ||
| */ | ||
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| package org.apache.flink.tests.util.kafka; | ||
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| import org.apache.flink.tests.util.TestUtils; | ||
| import org.apache.flink.tests.util.categories.TravisGroup1; | ||
| import org.apache.flink.tests.util.flink.ClusterController; | ||
| import org.apache.flink.tests.util.flink.FlinkResource; | ||
| import org.apache.flink.tests.util.flink.LocalStandaloneFlinkResource; | ||
| import org.apache.flink.tests.util.flink.SQLJobSubmission; | ||
| import org.apache.flink.testutils.junit.FailsOnJava11; | ||
| import org.apache.flink.util.FileUtils; | ||
| import org.apache.flink.util.TestLogger; | ||
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| import org.apache.flink.shaded.guava18.com.google.common.base.Charsets; | ||
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| import org.apache.commons.lang3.StringUtils; | ||
| import org.junit.Assert; | ||
| import org.junit.Before; | ||
| import org.junit.Rule; | ||
| import org.junit.Test; | ||
| import org.junit.experimental.categories.Category; | ||
| import org.junit.rules.TemporaryFolder; | ||
| import org.junit.runner.RunWith; | ||
| import org.junit.runners.Parameterized; | ||
| import org.slf4j.Logger; | ||
| import org.slf4j.LoggerFactory; | ||
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| import java.io.ByteArrayInputStream; | ||
| import java.io.File; | ||
| import java.io.FileNotFoundException; | ||
| import java.io.IOException; | ||
| import java.net.URL; | ||
| import java.nio.file.Files; | ||
| import java.nio.file.Path; | ||
| import java.nio.file.StandardOpenOption; | ||
| import java.security.MessageDigest; | ||
| import java.util.Arrays; | ||
| import java.util.Collection; | ||
| import java.util.HashMap; | ||
| import java.util.Map; | ||
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| import static org.apache.flink.util.StringUtils.byteToHexString; | ||
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| /** | ||
| * End-to-end test for the kafka SQL connectors. | ||
| */ | ||
| @RunWith(Parameterized.class) | ||
| @Category(value = {TravisGroup1.class, FailsOnJava11.class}) | ||
| public class SQLClientKafkaITCase extends TestLogger { | ||
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| private static final Logger LOG = LoggerFactory.getLogger(SQLClientKafkaITCase.class); | ||
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| private static final String KAFKA_JSON_SOURCE_SCHEMA_YAML = "kafka_json_source_schema.yaml"; | ||
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| @Parameterized.Parameters(name = "{index}: kafka-version:{1} kafka-sql-version:{2}") | ||
| public static Collection<Object[]> data() { | ||
| return Arrays.asList(new Object[][]{ | ||
| {"0.10.2.0", "0.10", ".*kafka-0.10.jar"}, | ||
| {"0.11.0.2", "0.11", ".*kafka-0.11.jar"}, | ||
| {"2.2.0", "universal", ".*kafka.jar"} | ||
| }); | ||
| } | ||
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| @Rule | ||
| public final FlinkResource flink = new LocalStandaloneFlinkResource(); | ||
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| @Rule | ||
| public final KafkaResource kafka; | ||
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| @Rule | ||
| public final TemporaryFolder tmp = new TemporaryFolder(); | ||
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| private final String kafkaSQLVersion; | ||
| private Path result; | ||
| private Path sqlClientSessionConf; | ||
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| private static final Path sqlAvroJar = TestUtils.getResourceJar(".*avro.jar"); | ||
| private static final Path sqlJsonJar = TestUtils.getResourceJar(".*json.jar"); | ||
| private static final Path sqlToolBoxJar = TestUtils.getResourceJar(".*SqlToolbox.jar"); | ||
| private final Path sqlConnectorKafkaJar; | ||
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| public SQLClientKafkaITCase(String kafkaVersion, String kafkaSQLVersion, String kafkaSQLJarPattern) { | ||
| this.kafka = KafkaResource.get(kafkaVersion); | ||
| this.kafkaSQLVersion = kafkaSQLVersion; | ||
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| this.sqlConnectorKafkaJar = TestUtils.getResourceJar(kafkaSQLJarPattern); | ||
| } | ||
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| @Before | ||
| public void before() { | ||
| Path tmpPath = tmp.getRoot().toPath(); | ||
| LOG.info("The current temporary path: {}", tmpPath); | ||
| this.sqlClientSessionConf = tmpPath.resolve("sql-client-session.conf"); | ||
| this.result = tmpPath.resolve("result"); | ||
| } | ||
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| @Test | ||
| public void testKafka() throws Exception { | ||
| try (ClusterController clusterController = flink.startCluster(2)) { | ||
| // Create topic and send message | ||
| String testJsonTopic = "test-json"; | ||
| String testAvroTopic = "test-avro"; | ||
| kafka.createTopic(1, 1, testJsonTopic); | ||
| String[] messages = new String[]{ | ||
| "{\"timestamp\": \"2018-03-12T08:00:00Z\", \"user\": \"Alice\", \"event\": { \"type\": \"WARNING\", \"message\": \"This is a warning.\"}}", | ||
| "{\"timestamp\": \"2018-03-12T08:10:00Z\", \"user\": \"Alice\", \"event\": { \"type\": \"WARNING\", \"message\": \"This is a warning.\"}}", | ||
| "{\"timestamp\": \"2018-03-12T09:00:00Z\", \"user\": \"Bob\", \"event\": { \"type\": \"WARNING\", \"message\": \"This is another warning.\"}}", | ||
| "{\"timestamp\": \"2018-03-12T09:10:00Z\", \"user\": \"Alice\", \"event\": { \"type\": \"INFO\", \"message\": \"This is a info.\"}}", | ||
| "{\"timestamp\": \"2018-03-12T09:20:00Z\", \"user\": \"Steve\", \"event\": { \"type\": \"INFO\", \"message\": \"This is another info.\"}}", | ||
| "{\"timestamp\": \"2018-03-12T09:30:00Z\", \"user\": \"Steve\", \"event\": { \"type\": \"INFO\", \"message\": \"This is another info.\"}}", | ||
| "{\"timestamp\": \"2018-03-12T09:30:00Z\", \"user\": null, \"event\": { \"type\": \"WARNING\", \"message\": \"This is a bad message because the user is missing.\"}}", | ||
| "{\"timestamp\": \"2018-03-12T10:40:00Z\", \"user\": \"Bob\", \"event\": { \"type\": \"ERROR\", \"message\": \"This is an error.\"}}" | ||
| }; | ||
| kafka.sendMessages(testJsonTopic, messages); | ||
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| // Create topic test-avro | ||
| kafka.createTopic(1, 1, testAvroTopic); | ||
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| // Initialize the SQL client session configuration file | ||
| Map<String, String> varsMap = new HashMap<>(); | ||
| varsMap.put("$TABLE_NAME", "JsonSourceTable"); | ||
| varsMap.put("$KAFKA_SQL_VERSION", this.kafkaSQLVersion); | ||
| varsMap.put("$TOPIC_NAME", testJsonTopic); | ||
| varsMap.put("$RESULT", this.result.toAbsolutePath().toString()); | ||
| varsMap.put("$KAFKA_ZOOKEEPER_ADDRESS", kafka.getZookeeperAddress().toString()); | ||
| varsMap.put("$KAFKA_BOOTSTRAP_SERVERS", StringUtils.join(kafka.getBootstrapServerAddresses().toArray(), ",")); | ||
| String schemaContent = initializeSessionYaml(varsMap); | ||
| Files.write(this.sqlClientSessionConf, | ||
| schemaContent.getBytes(Charsets.UTF_8), | ||
| StandardOpenOption.CREATE, | ||
| StandardOpenOption.WRITE); | ||
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| // Executing SQL, redirect the data from Kafka JSON to Kafka Avro. | ||
| insertIntoAvroTable(clusterController); | ||
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| // Executing SQL, redirect the data from Kafka Avro to CSV sink. | ||
| insertIntoCsvSinkTable(clusterController); | ||
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| // Wait until all the results flushed to the CSV file. | ||
| LOG.info("Verify the CSV result."); | ||
| checkCsvResultFile(); | ||
| LOG.info("The Kafka({}) SQL client test run successfully.", this.kafkaSQLVersion); | ||
| } | ||
| } | ||
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| private void insertIntoAvroTable(ClusterController clusterController) throws IOException { | ||
| LOG.info("Executing SQL: Kafka {} JSON -> Kafka {} Avro", kafkaSQLVersion, kafkaSQLVersion); | ||
| String sqlStatement1 = "INSERT INTO AvroBothTable\n" + | ||
| " SELECT\n" + | ||
| " CAST(TUMBLE_START(rowtime, INTERVAL '1' HOUR) AS VARCHAR) AS event_timestamp,\n" + | ||
| " user,\n" + | ||
| " RegReplace(event.message, ' is ', ' was ') AS message,\n" + | ||
| " COUNT(*) AS duplicate_count\n" + | ||
| " FROM JsonSourceTable\n" + | ||
| " WHERE user IS NOT NULL\n" + | ||
| " GROUP BY\n" + | ||
| " user,\n" + | ||
| " event.message,\n" + | ||
| " TUMBLE(rowtime, INTERVAL '1' HOUR)"; | ||
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| clusterController.submitSQLJob(new SQLJobSubmission.SQLJobSubmissionBuilder(sqlStatement1) | ||
| .addJar(sqlAvroJar) | ||
| .addJar(sqlJsonJar) | ||
| .addJar(sqlConnectorKafkaJar) | ||
| .addJar(sqlToolBoxJar) | ||
| .setSessionEnvFile(this.sqlClientSessionConf.toAbsolutePath().toString()) | ||
| .build()); | ||
| } | ||
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| private void insertIntoCsvSinkTable(ClusterController clusterController) throws IOException { | ||
| LOG.info("Executing SQL: Kafka {} Avro -> Csv sink", kafkaSQLVersion); | ||
| String sqlStatement2 = "INSERT INTO CsvSinkTable\n" + | ||
| " SELECT AvroBothTable.*, RegReplace('Test constant folding.', 'Test', 'Success') AS constant\n" + | ||
| " FROM AvroBothTable"; | ||
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| clusterController.submitSQLJob(new SQLJobSubmission.SQLJobSubmissionBuilder(sqlStatement2) | ||
| .addJar(sqlAvroJar) | ||
| .addJar(sqlJsonJar) | ||
| .addJar(sqlConnectorKafkaJar) | ||
| .addJar(sqlToolBoxJar) | ||
| .setSessionEnvFile(this.sqlClientSessionConf.toAbsolutePath().toString()) | ||
| .build() | ||
| ); | ||
| } | ||
|
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| private String initializeSessionYaml(Map<String, String> vars) throws IOException { | ||
| URL url = SQLClientKafkaITCase.class.getClassLoader().getResource(KAFKA_JSON_SOURCE_SCHEMA_YAML); | ||
| if (url == null) { | ||
| throw new FileNotFoundException(KAFKA_JSON_SOURCE_SCHEMA_YAML); | ||
| } | ||
|
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| String schema = FileUtils.readFileUtf8(new File(url.getFile())); | ||
| for (Map.Entry<String, String> var : vars.entrySet()) { | ||
| schema = schema.replace(var.getKey(), var.getValue()); | ||
| } | ||
| return schema; | ||
| } | ||
|
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| private void checkCsvResultFile() throws Exception { | ||
| boolean success = false; | ||
| long maxRetries = 10, duration = 5000L; | ||
| for (int i = 0; i < maxRetries; i++) { | ||
| if (Files.exists(result)) { | ||
| byte[] bytes = Files.readAllBytes(result); | ||
| String lines = new String(bytes, Charsets.UTF_8); | ||
| if (lines.split("\n").length == 4) { | ||
| success = true; | ||
| // Check the MD5SUM of the result file. | ||
| // Expected results: | ||
| // | ||
| // 2018-03-12 08:00:00.000,Alice,This was a warning.,2,Success constant folding. | ||
| // 2018-03-12 09:00:00.000,Bob,This was another warning.,1,Success constant folding. | ||
| // 2018-03-12 09:00:00.000,Steve,This was another info.,2,Success constant folding. | ||
| // 2018-03-12 09:00:00.000,Alice,This was a info.,1,Success constant folding. | ||
| Assert.assertEquals("MD5 checksum mismatch", "9b06d1f8c8b8dd4ce3341786897c8993", getMd5Sum(bytes)); | ||
| break; | ||
| } | ||
| } else { | ||
| LOG.info("The target CSV {} does not exist now", result); | ||
| } | ||
| Thread.sleep(duration); | ||
| } | ||
| Assert.assertTrue("Timeout(" + (maxRetries * duration) + " sec) to read the correct CSV results.", success); | ||
| } | ||
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| private static String getMd5Sum(byte[] bytes) throws Exception { | ||
| MessageDigest md = MessageDigest.getInstance("MD5"); | ||
| try (ByteArrayInputStream is = new ByteArrayInputStream(bytes)) { | ||
| byte[] buf = new byte[1024]; | ||
| for (int len = 0; (len = is.read(buf)) > 0; ) { | ||
| md.update(buf, 0, len); | ||
| } | ||
| } | ||
| return byteToHexString(md.digest()); | ||
| } | ||
| } |
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