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[fix](routine load) make routine load delay eof schedule work (#45528)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| 57|2023-08-19|TRUE|2|-25462|-74112029|6458082754318544493|-7910671781690629051|-15205.859375|-306870797.484914|759730669.0|-628556336.0|2023-07-10 18:39:10|2023-02-12|2023-01-27 07:26:06|y||Xi9nDVrLv8m6AwEpUxmtzFAuK48sQ|{"name": "John", "age": 25, "city": "New York"} |
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regression-test/suites/load_p0/routine_load/test_routine_load_eof.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. | ||
|
|
||
| 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_eof","p0") { | ||
| def kafkaCsvTpoics = [ | ||
| "test_eof", | ||
| ] | ||
|
|
||
| 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")) { | ||
| def thread = Thread.start { | ||
| // define kafka | ||
| def props = new Properties() | ||
| props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "${kafka_broker}".toString()) | ||
| props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer") | ||
| props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer") | ||
| // Create kafka producer | ||
| def producer = new KafkaProducer<>(props) | ||
|
|
||
| while(true) { | ||
| Thread.sleep(1000) | ||
| for (String kafkaCsvTopic in kafkaCsvTpoics) { | ||
| def txt = new File("""${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) | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
|
||
| sleep(2 * 1000) | ||
|
|
||
| def jobName = "testEof" | ||
| def tableName = "test_routine_load_eof" | ||
| try { | ||
| sql """ | ||
| CREATE TABLE IF NOT EXISTS ${tableName} | ||
| ( | ||
| k00 INT NOT NULL, | ||
| k01 DATE NOT NULL, | ||
| k02 BOOLEAN NULL, | ||
| k03 TINYINT NULL, | ||
| k04 SMALLINT NULL, | ||
| k05 INT NULL, | ||
| k06 BIGINT NULL, | ||
| k07 LARGEINT NULL, | ||
| k08 FLOAT NULL, | ||
| k09 DOUBLE NULL, | ||
| k10 DECIMAL(9,1) NULL, | ||
| k11 DECIMALV3(9,1) NULL, | ||
| k12 DATETIME NULL, | ||
| k13 DATEV2 NULL, | ||
| k14 DATETIMEV2 NULL, | ||
| k15 CHAR NULL, | ||
| k16 VARCHAR NULL, | ||
| k17 STRING NULL, | ||
| k18 JSON NULL, | ||
| kd01 BOOLEAN NOT NULL DEFAULT "TRUE", | ||
| kd02 TINYINT NOT NULL DEFAULT "1", | ||
| kd03 SMALLINT NOT NULL DEFAULT "2", | ||
| kd04 INT NOT NULL DEFAULT "3", | ||
| kd05 BIGINT NOT NULL DEFAULT "4", | ||
| kd06 LARGEINT NOT NULL DEFAULT "5", | ||
| kd07 FLOAT NOT NULL DEFAULT "6.0", | ||
| kd08 DOUBLE NOT NULL DEFAULT "7.0", | ||
| kd09 DECIMAL NOT NULL DEFAULT "888888888", | ||
| kd10 DECIMALV3 NOT NULL DEFAULT "999999999", | ||
| kd11 DATE NOT NULL DEFAULT "2023-08-24", | ||
| kd12 DATETIME NOT NULL DEFAULT "2023-08-24 12:00:00", | ||
| kd13 DATEV2 NOT NULL DEFAULT "2023-08-24", | ||
| kd14 DATETIMEV2 NOT NULL DEFAULT "2023-08-24 12:00:00", | ||
| kd15 CHAR(255) NOT NULL DEFAULT "我能吞下玻璃而不伤身体", | ||
| kd16 VARCHAR(300) NOT NULL DEFAULT "我能吞下玻璃而不伤身体", | ||
| kd17 STRING NOT NULL DEFAULT "我能吞下玻璃而不伤身体", | ||
| kd18 JSON NULL, | ||
| INDEX idx_inverted_k104 (`k05`) USING INVERTED, | ||
| INDEX idx_inverted_k110 (`k11`) USING INVERTED, | ||
| INDEX idx_inverted_k113 (`k13`) USING INVERTED, | ||
| INDEX idx_inverted_k114 (`k14`) USING INVERTED, | ||
| INDEX idx_inverted_k117 (`k17`) USING INVERTED PROPERTIES("parser" = "english"), | ||
| INDEX idx_ngrambf_k115 (`k15`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"), | ||
| INDEX idx_ngrambf_k116 (`k16`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"), | ||
| INDEX idx_ngrambf_k117 (`k17`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"), | ||
| INDEX idx_bitmap_k104 (`k02`) USING BITMAP, | ||
| INDEX idx_bitmap_k110 (`kd01`) USING BITMAP | ||
| ) | ||
| DUPLICATE KEY(k00) | ||
| PARTITION BY RANGE(k01) | ||
| ( | ||
| PARTITION p1 VALUES [('2023-08-01'), ('2023-08-11')), | ||
| PARTITION p2 VALUES [('2023-08-11'), ('2023-08-21')), | ||
| PARTITION p3 VALUES [('2023-08-21'), ('2023-09-01')) | ||
| ) | ||
| DISTRIBUTED BY HASH(k00) BUCKETS 32 | ||
| PROPERTIES ( | ||
| "bloom_filter_columns"="k05", | ||
| "replication_num" = "1" | ||
| ); | ||
| """ | ||
| sql "sync" | ||
|
|
||
| sql """ | ||
| CREATE ROUTINE LOAD ${jobName} on ${tableName} | ||
| COLUMNS(k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18), | ||
| COLUMNS TERMINATED BY "|" | ||
| PROPERTIES | ||
| ( | ||
| "max_batch_interval" = "5", | ||
| "max_batch_rows" = "300000", | ||
| "max_batch_size" = "209715200" | ||
| ) | ||
| FROM KAFKA | ||
| ( | ||
| "kafka_broker_list" = "${externalEnvIp}:${kafka_port}", | ||
| "kafka_topic" = "test_eof", | ||
| "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 != "RUNNING") { | ||
| count++ | ||
| if (count > 60) { | ||
| assertEquals(1, 2) | ||
| } | ||
| continue; | ||
| } | ||
| break; | ||
| } | ||
| sleep(60 * 1000) | ||
| def res = sql "show routine load for ${jobName}" | ||
| def statistic = res[0][14].toString() | ||
| def json = parseJson(res[0][14]) | ||
| log.info("routine load statistic: ${res[0][14].toString()}".toString()) | ||
| if (json.committedTaskNum > 20) { | ||
| assertEquals(1, 2) | ||
| } | ||
| } finally { | ||
| sql "stop routine load for ${jobName}" | ||
| sql "DROP TABLE IF EXISTS ${tableName}" | ||
| } | ||
| thread.interrupt() | ||
| } | ||
| } |