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fix auto resume invalid when FE leader change or single FE restart
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138
regression-test/suites/load_p0/routine_load/test_routine_load_restart_fe.groovy
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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. | ||
|
|
||
| // The cases is copied from https://github.com/trinodb/trino/tree/master | ||
| // /testing/trino-product-tests/src/main/resources/sql-tests/testcases | ||
| // and modified by Doris. | ||
|
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| import org.apache.doris.regression.suite.ClusterOptions | ||
| import org.apache.doris.regression.util.NodeType | ||
| import org.apache.kafka.clients.admin.AdminClient | ||
| import org.apache.kafka.clients.producer.KafkaProducer | ||
| import org.apache.kafka.clients.producer.ProducerRecord | ||
| import org.apache.kafka.clients.producer.ProducerConfig | ||
|
|
||
| suite("test_routine_load_restart_fe", "p0, nonConcurrent") { | ||
| def kafkaCsvTpoics = [ | ||
| "test_out_of_range", | ||
| ] | ||
|
|
||
| String enabled = context.config.otherConfigs.get("enableKafkaTest") | ||
| String kafka_port = context.config.otherConfigs.get("kafka_port") | ||
| String externalEnvIp = context.config.otherConfigs.get("externalEnvIp") | ||
| def kafka_broker = "${externalEnvIp}:${kafka_port}" | ||
|
|
||
| if (enabled != null && enabled.equalsIgnoreCase("true")) { | ||
| // define kafka | ||
| def props = new Properties() | ||
| props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "${kafka_broker}".toString()) | ||
| props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer") | ||
| props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer") | ||
| // Create kafka producer | ||
| def producer = new KafkaProducer<>(props) | ||
|
|
||
| for (String kafkaCsvTopic in kafkaCsvTpoics) { | ||
| def txt = new File("""${context.file.parent}/data/${kafkaCsvTopic}.csv""").text | ||
| def lines = txt.readLines() | ||
| lines.each { line -> | ||
| logger.info("=====${line}========") | ||
| def record = new ProducerRecord<>(kafkaCsvTopic, null, line) | ||
| producer.send(record) | ||
| } | ||
| } | ||
| } | ||
|
|
||
| def options = new ClusterOptions() | ||
| options.setFeNum(1) | ||
| docker(options) { | ||
| def load_with_injection = { injection -> | ||
| def jobName = "test_routine_load_restart" | ||
| def tableName = "dup_tbl_basic_multi_table" | ||
| if (enabled != null && enabled.equalsIgnoreCase("true")) { | ||
| try { | ||
| GetDebugPoint().enableDebugPointForAllBEs(injection) | ||
| sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text | ||
| sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text | ||
| sql "sync" | ||
|
|
||
| sql """ | ||
| CREATE ROUTINE LOAD ${jobName} | ||
| COLUMNS TERMINATED BY "|" | ||
| PROPERTIES | ||
| ( | ||
| "max_batch_interval" = "5", | ||
| "max_batch_rows" = "300000", | ||
| "max_batch_size" = "209715200" | ||
| ) | ||
| FROM KAFKA | ||
| ( | ||
| "kafka_broker_list" = "${externalEnvIp}:${kafka_port}", | ||
| "kafka_topic" = "test_out_of_range", | ||
| "property.kafka_default_offsets" = "OFFSET_BEGINNING" | ||
| ); | ||
| """ | ||
| sql "sync" | ||
|
|
||
| def count = 0 | ||
| while (true) { | ||
| sleep(1000) | ||
| def res = sql "show routine load for ${jobName}" | ||
| def state = res[0][8].toString() | ||
| if (state == "PAUSED") { | ||
| log.info("reason of state changed: ${res[0][17].toString()}".toString()) | ||
| assertTrue(res[0][17].toString().contains("Offset out of range")) | ||
| assertTrue(res[0][17].toString().contains("consume partition")) | ||
| assertTrue(res[0][17].toString().contains("consume offset")) | ||
| GetDebugPoint().disableDebugPointForAllBEs(injection) | ||
| break; | ||
| } | ||
| count++ | ||
| if (count > 60) { | ||
| GetDebugPoint().disableDebugPointForAllBEs(injection) | ||
| assertEquals(1, 2) | ||
| break; | ||
| } else { | ||
| continue; | ||
| } | ||
| } | ||
| } catch (Exception e) { | ||
| sql "stop routine load for ${jobName}" | ||
| sql "DROP TABLE IF EXISTS ${tableName}" | ||
| } | ||
| } | ||
| } | ||
| load_with_injection("KafkaDataConsumer.group_consume.out_of_range") | ||
|
|
||
| cluster.restartFrontends() | ||
| sleep(30000) | ||
| context.reconnectFe() | ||
|
|
||
| def res = sql "show routine load for ${jobName}" | ||
| def state = res[0][8].toString() | ||
| if (state == "PAUSED") { | ||
| log.info("reason of state changed: ${res[0][17].toString()}".toString()) | ||
| assertTrue(res[0][17].toString().contains("Offset out of range")) | ||
| assertTrue(res[0][17].toString().contains("consume partition")) | ||
| assertTrue(res[0][17].toString().contains("consume offset")) | ||
| } else { | ||
| assertEquals(1, 2) | ||
| } | ||
| sql "stop routine load for ${jobName}" | ||
| sql "DROP TABLE IF EXISTS ${tableName}" | ||
| } | ||
| } | ||
|
|