实践数据湖iceberg 第二十一课 flink1.13.5 + iceberg0.131 CDC(测试成功INSERT,变更操作失败)
系列文章目录
实践数据湖iceberg 第一课 入门
实践数据湖iceberg 第二课 iceberg基于hadoop的底层数据格式
实践数据湖iceberg 第三课 在sqlclient中，以sql方式从kafka读数据到iceberg
实践数据湖iceberg 第四课 在sqlclient中，以sql方式从kafka读数据到iceberg（升级版本到flink1.12.7）
实践数据湖iceberg 第五课 hive catalog特点
实践数据湖iceberg 第六课 从kafka写入到iceberg失败问题 解决
实践数据湖iceberg 第七课 实时写入到iceberg
实践数据湖iceberg 第八课 hive与iceberg集成
实践数据湖iceberg 第九课 合并小文件
实践数据湖iceberg 第十课 快照删除
实践数据湖iceberg 第十一课 测试分区表完整流程(造数、建表、合并、删快照)
实践数据湖iceberg 第十二课 catalog是什么
实践数据湖iceberg 第十三课 metadata比数据文件大很多倍的问题
实践数据湖iceberg 第十四课 元数据合并(解决元数据随时间增加而元数据膨胀的问题)
实践数据湖iceberg 第十五课 spark安装与集成iceberg(jersey包冲突)
实践数据湖iceberg 第十六课 通过spark3打开iceberg的认知之门
实践数据湖iceberg 第十七课 hadoop2.7,spark3 on yarn运行iceberg配置
实践数据湖iceberg 第十八课 多种客户端与iceberg交互启动命令(常用命令)
实践数据湖iceberg 第十九课 flink count iceberg，无结果问题
实践数据湖iceberg 第二十课 flink + iceberg CDC场景(版本问题，测试失败)
实践数据湖iceberg 第二十一课 flink1.13.5 + iceberg0.131 CDC(测试成功INSERT,变更操作失败)
实践数据湖iceberg 第二十二课 flink1.13.5 + iceberg0.131 CDC(CRUD测试成功)
文章目录
- 系列文章目录
- 概要
- 一、环境准备
-
- 1.1 准备安装包、jar包
- 1.2 flink-sql启动
- 2.1 准备mysql的表source表
- 2.2 准备iceberg的sink表
- 3.通过flink从mysql写入iceberg
-
- 3.1 数据写入到iceberg
- 4. 观察增加、 删除、更新的影响
-
- 4.1 初始化，把历史数据 sink出去了
- 4.2 spark-sql查询
- 4.3 删除语句测试（对delete语句不支持）
- 4.4 update测试（不支持）
- 5 其他异常处理
-
- 5.1 The primary key is necessary when enable 'Key: 'scan.incremental.snapshot.enabled' 问题处理
- 5.2 sql执行失败，导致任务无法正常运行
- 总结
概要
版本：flink1.13.5, flink-sql-connector-mysql-cdc-2.1.1.jar ,iceberg0.131
本课：测试cdc的CRUD
一、环境准备
1.1 准备安装包、jar包
flink-1.13.5-bin-scala_2.12.tgz
解压
采用软连接方式进行安装，每次版本升级，把软连接更换，把老版本配置/conf下的文件拷贝到新的路径就行。
这样的好处，环境变量不用每次都修改。
看版本历史，已经试过了4个版本的flink，摸索的艰辛泪。。。
[root@hadoop101 module]# ll
total 94528
drwxr-xr-x 11 hadoop hadoop 4096 Jan 11 17:52 apache-hive-2.3.6-bin
drwxr-xr-x 2 root root 4096 Feb 14 18:25 bin
lrwxrwxrwx 1 root root 25 Feb 17 21:30 flink -> /opt/module/flink-1.13.5/
drwxr-xr-x 10 hadoop hadoop 4096 Jan 12 15:03 flink-1.11.6
drwxr-xr-x 10 1002 1003 4096 Dec 15 08:30 flink-1.12.7
drwxr-xr-x 10 1006 1007 4096 Dec 15 08:35 flink-1.13.5
drwxr-xr-x 10 501 games 4096 Jan 11 07:45 flink-1.14.3
准备：flink集成kafka, hive, iceberg的包
[root@hadoop101 module]# ls /opt/software/flink1.13-iceberg0131/
flink-sql-connector-hive-2.3.6_2.12-1.13.5.jar flink-sql-connector-kafka_2.12-1.13.5.jar iceberg-flink-runtime-1.13-0.13.1.jar iceberg-mr-0.13.1.jar
flink-sql-connector-mysql-cdc-2.1.1.jar’
包从 https://repo.maven.apache.org/maven2/org/apache 目录下直接找就是了。
mysql-cdc 自己编译，maven仓库down的是scala2.11版本，我用的是scala.2.12版，不兼容（踩过坑了）。
[root@hadoop103 target]# pwd
/opt/software/flink-cdc-connectors-release-2.1.1/flink-sql-connector-mysql-cdc/target
[root@hadoop103 target]# ls
checkstyle-checker.xml checkstyle-suppressions.xml dependency-reduced-pom.xml flink-sql-connector-mysql-cdc-2.1.1-tests.jar maven-archiver maven-status test-classes
checkstyle-result.xml classes flink-sql-connector-mysql-cdc-2.1.1.jar generated-sources maven-shared-archive-resources original-flink-sql-connector-mysql-cdc-2.1.1.jar
[root@hadoop103 target]#
1.2 flink-sql启动
[root@hadoop101 ~]# sql-client.sh embedded -j /opt/software/flink1.13-iceberg0131/iceberg-flink-runtime-1.13-0.13.1.jar -j /opt/software/flink1.13-iceberg0131/flink-sql-connector-hive-2.3.6_2.12-1.13.5.jar -j /opt/software/flink1.13-iceberg0131/flink-sql-connector-kafka_2.12-1.13.5.jar -j /opt/software/flink1.13-iceberg0131/flink-sql-connector-mysql-cdc-2.1.1.jar shell
2.1 准备mysql的表source表
CREATE TABLE stock_basic_source(
`i` INT NOT NULL,
`ts_code` CHAR(10) NOT NULL,
`symbol` CHAR(10) NOT NULL,
`name` char(10) NOT NULL,
`area` CHAR(20) NOT NULL,
`industry` CHAR(20) NOT NULL,
`list_date` CHAR(10) NOT NULL,
`actural_controller` CHAR(100),
PRIMARY KEY(i) NOT ENFORCED
) WITH (
'connector' = 'mysql-cdc',
'hostname' = 'hadoop103',
'port' = '3306',
'username' = 'hive',
'password' = '123456',
'database-name' = 'xxzh_stock',
'table-name' = 'stock_basic'
);
先执行如下8条：
INSERT INTO `stock_basic` VALUES ('0', '000001.SZ', '000001', '平安银行', '深圳', '银行', '19910403', null);
INSERT INTO `stock_basic` VALUES ('1', '000002.SZ', '000002', '万科A', '深圳', '全国地产', '19910129', null);
INSERT INTO `stock_basic` VALUES ('2', '000004.SZ', '000004', '国华网安', '深圳', '软件服务', '19910114', '李映彤');
INSERT INTO `stock_basic` VALUES ('3', '000005.SZ', '000005', 'ST星源', '深圳', '环境保护', '19901210', '郑列列,丁芃');
INSERT INTO `stock_basic` VALUES ('4', '000006.SZ', '000006', '深振业A', '深圳', '区域地产', '19920427', '深圳市人民政府国有资产监督管理委员会');
INSERT INTO `stock_basic` VALUES ('5', '000007.SZ', '000007', '*ST全新', '深圳', '酒店餐饮', '19920413', null);
INSERT INTO `stock_basic` VALUES ('6', '000008.SZ', '000008', '神州高铁', '北京', '运输设备', '19920507', '国家开发投资集团有限公司');
INSERT INTO `stock_basic` VALUES ('7', '000009.SZ', '000009', '中国宝安', '深圳', '电气设备', '19910625', null);
INSERT INTO `stock_basic` VALUES ('8', '000010.SZ', '000010', '美丽生态', '深圳', '建筑工程', '19951027', '沈玉兴');
INSERT INTO `stock_basic` VALUES ('9', '000011.SZ', '000011', '深物业A', '深圳', '区域地产', '19920330', '深圳市人民政府国有资产监督管理委员会');
INSERT INTO `stock_basic` VALUES ('10', '000012.SZ', '000012', '南玻A', '深圳', '玻璃', '19920228', null);
INSERT INTO `stock_basic` VALUES ('11', '000014.SZ', '000014', '沙河股份', '深圳', '全国地产', '19920602', '深圳市人民政府国有资产监督管理委员会');
INSERT INTO `stock_basic` VALUES ('12', '000016.SZ', '000016', '深康佳A', '深圳', '家用电器', '19920327', '国务院国有资产监督管理委员会');
INSERT INTO `stock_basic` VALUES ('13', '000017.SZ', '000017', '深中华A', '深圳', '文教休闲', '19920331', null);
INSERT INTO `stock_basic` VALUES ('14', '000019.SZ', '000019', '深粮控股', '深圳', '其他商业', '19921012', '深圳市人民政府国有资产监督管理委员会');
INSERT INTO `stock_basic` VALUES ('15', '000020.SZ', '000020', '深华发A', '深圳', '元器件', '19920428', '李中秋');
INSERT INTO `stock_basic` VALUES ('16', '000021.SZ', '000021', '深科技', '深圳', 'IT设备', '19940202', '中国电子信息产业集团有限公司');
INSERT INTO `stock_basic` VALUES ('17', '000023.SZ', '000023', '深天地A', '深圳', '水泥', '19930429', '林宏润');
INSERT INTO `stock_basic` VALUES ('18', '000025.SZ', '000025', '特力A', '深圳', '汽车服务', '19930621', '深圳市人民政府国有资产监督管理委员会');
INSERT INTO `stock_basic` VALUES ('19', '000026.SZ', '000026', '飞亚达', '深圳', '其他商业', '19930603', '中国航空技术国际控股有限公司');
INSERT INTO `stock_basic` VALUES ('20', '000027.SZ', '000027', '深圳能源', '深圳', '火力发电', '19930903', '深圳市人民政府国有资产监督管理委员会');
PRIMARY KEY(i) NOT ENFORCED需要加上主键，否则会报
Flink SQL> select * from stock_basic_source;
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.ValidationException: The primary key is necessary when enable 'Key: 'scan.incremental.snapshot.enabled' , default: true (fallback keys: [])' to 'true'
查询数据变化
select * from stock_basic_source; 会查回历史表所有的数据，以及以后变更的数据
SQL Query Result (Table)
Refresh: 1 s Page: Last of 1 Updated: 16:55:44.317
i ts_code symbol name area industry list_date actural_controller
7 000009.SZ 000009 中国宝安 深圳 电气设备 19910625 (NULL)
6 000008.SZ 000008 神州高铁 北京 运输设备 19920507 国家开发投资集团有限公司
1 000002.SZ 000002 万科A 深圳 全国地产 19910129 (NULL)
0 000001.SZ 000001 平安银行 深圳 银行 19910403 (NULL)
3 000005.SZ 000005 ST星源 深圳 环境保护 19901210 郑列列,丁芃
2 000004.SZ 000004 国华网安 深圳 软件服务 19910114 李映彤
5 000007.SZ 000007 *ST全新 深圳 酒店餐饮 19920413 (NULL)
4 000006.SZ 000006 深振业A 深圳 区域地产 19920427 深圳市人民政府国有资产监督管理委员会
在mysql中insert两条数据，发现写入了
INSERT INTO `stock_basic` VALUES ('8', '000010.SZ', '000010', '美丽生态', '深圳', '建筑工程', '19951027', '沈玉兴');
INSERT INTO `stock_basic` VALUES ('9', '000011.SZ', '000011', '深物业A', '深圳', '区域地产', '19920330', '深圳市人民政府国有资产监督管理委员会');
SQL Query Result (Table)
Refresh: 1 s Page: Last of 1 Updated: 16:59:01.512
i ts_code symbol name area industry list_date actural_controller
7 000009.SZ 000009 中国宝安 深圳 电气设备 19910625 (NULL)
8 000010.SZ 000010 美丽生态 深圳 建筑工程 19951027 沈玉兴
3 000005.SZ 000005 ST星源 深圳 环境保护 19901210 郑列列,丁芃
4 000006.SZ 000006 深振业A 深圳 区域地产 19920427 深圳市人民政府国有资产监督管理委员会
5 000007.SZ 000007 *ST全新 深圳 酒店餐饮 19920413 (NULL)
6 000008.SZ 000008 神州高铁 北京 运输设备 19920507 国家开发投资集团有限公司
1 000002.SZ 000002 万科A 深圳 全国地产 19910129 (NULL)
2 000004.SZ 000004 国华网安 深圳 软件服务 19910114 李映彤
9 000011.SZ 000011 深物业A 深圳 区域地产 19920330 深圳市人民政府国有资产监督管理委员会
0 000001.SZ 000001 平安银行 深圳 银行 19910403 不知道
2.2 准备iceberg的sink表
设置metadata保留次数
CREATE CATALOG hive_catalog6 WITH (
'type'='iceberg',
'catalog-type'='hive',
'uri'='thrift://hadoop101:9083',
'clients'='5',
'property-version'='1',
'warehouse'='hdfs:///user/hive/warehouse/hive_catalog6'
);
use catalog hive_catalog6;
CREATE DATABASE xxzh_stock_mysql_db;
USE xxzh_stock_mysql_db;
CREATE TABLE stock_basic_iceberg_sink(
`i` INT NOT NULL,
`ts_code` CHAR(10) NOT NULL,
`symbol` CHAR(10) NOT NULL,
`name` char(10) NOT NULL,
`area` CHAR(20) NOT NULL,
`industry` CHAR(20) NOT NULL,
`list_date` CHAR(10) NOT NULL,
`actural_controller` CHAR(100) ,
PRIMARY KEY(i) NOT ENFORCED
) with(
'write.metadata.delete-after-commit.enabled'='true',
'write.metadata.previous-versions-max'='5'
)
给表增加属性的方法：
create table tablename(
field1 field_type
) with (
'key' = 'value'
)
3.通过flink从mysql写入iceberg
3.1 数据写入到iceberg
use catalog default_catalog;
Flink SQL> insert into hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink select * from stock_basic_source;
[INFO] Submitting SQL update statement to the cluster...
[INFO] SQL update statement has been successfully submitted to the cluster:
Job ID: 3ed67670f3f008e19409e99d781d92d3
4. 观察增加、 删除、更新的影响
4.1 初始化，把历史数据 sink出去了
[root@hadoop101 module]# hadoop fs -ls -R hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/
drwxr-xr-x - root supergroup 0 2022-02-22 17:03 hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/data
-rw-r--r-- 2 root supergroup 2931 2022-02-22 17:03 hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/data/00000-0-2ffec193-5852-496d-89a5-d04b9a78fc7f-00001.parquet
drwxr-xr-x - root supergroup 0 2022-02-22 17:03 hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/metadata
-rw-r--r-- 2 root supergroup 2587 2022-02-22 17:01 hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/metadata/00000-bea73d87-95d6-42e4-bc36-588ba5649884.metadata.json
-rw-r--r-- 2 root supergroup 3685 2022-02-22 17:03 hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/metadata/00001-3d0b5906-61c8-405e-958c-4bb5e52c5b1c.metadata.json
-rw-r--r-- 2 root supergroup 6371 2022-02-22 17:03 hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/metadata/3bc7dffc-6f4f-4e4b-bd54-a85d7ca1bc97-m0.avro
-rw-r--r-- 2 root supergroup 3790 2022-02-22 17:03 hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/metadata/snap-4577301483373728372-1-3bc7dffc-6f4f-4e4b-bd54-a85d7ca1bc97.avro
[root@hadoop101 module]#
重启的话，会追加写一份，导致数据重复
4.2 spark-sql查询
spark-sql启动
[root@hadoop103 spark-3.2.0-bin-hadoop2.7]# bin/spark-sql --packages org.apache.iceberg:iceberg-spark-runtime-3.2_2.12:0.13.1 --conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions --conf spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkSessionCatalog --conf spark.sql.catalog.spark_catalog.type=hive --conf spark.sql.catalog.local=org.apache.iceberg.spark.SparkCatalog --conf spark.sql.catalog.local.type=hadoop --conf spark.sql.catalog.local.warehouse=/tmp/iceberg/warehouse
spark-sql (default)> select * from stock_basic_iceberg_sink;
i ts_code symbol name area industry list_date actural_controller
1 000002.SZ 000002 万科A 深圳 全国地产 19910129 NULL
0 000001.SZ 000001 平安银行 深圳 银行 19910403 不知道
5 000007.SZ 000007 *ST全新 深圳 酒店餐饮 19920413 NULL
4 000006.SZ 000006 深振业A 深圳 区域地产 19920427 深圳市人民政府国有资产监督管理委员会
3 000005.SZ 000005 ST星源 深圳 环境保护 19901210 郑列列,丁芃
2 000004.SZ 000004 国华网安 深圳 软件服务 19910114 李映彤
9 000011.SZ 000011 深物业A 深圳 区域地产 19920330 深圳市人民政府国有资产监督管理委员会
8 000010.SZ 000010 美丽生态 深圳 建筑工程 19951027 沈玉兴
7 000009.SZ 000009 中国宝安 深圳 电气设备 19910625 NULL
6 000008.SZ 000008 神州高铁 北京 运输设备 19920507 国家开发投资集团有限公司
4.3 删除语句测试（对delete语句不支持）
delete from stock_basic where i=3;
delete from stock_basic where i=4;
INSERT INTO stock_basic VALUES (‘13’, ‘000017.SZ’, ‘000017’, ‘深中华A’, ‘深圳’, ‘文教休闲’, ‘19920331’, null);
with failure cause: java.lang.IllegalArgumentException: Cannot write delete files in a v1 table
at org.apache.iceberg.ManifestFiles.writeDeleteManifest(ManifestFiles.java:154)
at org.apache.iceberg.SnapshotProducer.newDeleteManifestWriter(SnapshotProducer.java:374)
at org.apache.iceberg.MergingSnapshotProducer.lambda$newDeleteFilesAsManifests$10(MergingSnapshotProducer.java:681)
at java.util.HashMap.forEach(HashMap.java:1289)
at org.apache.iceberg.MergingSnapshotProducer.newDeleteFilesAsManifests(MergingSnapshotProducer.java:678)
at org.apache.iceberg.MergingSnapshotProducer.prepareDeleteManifests(MergingSnapshotProducer.java:664)
at org.apache.iceberg.MergingSnapshotProducer.apply(MergingSnapshotProducer.java:533)
at org.apache.iceberg.SnapshotProducer.apply(SnapshotProducer.java:164)
at org.apache.iceberg.SnapshotProducer.lambda$commit$2(SnapshotProducer.java:283)
at org.apache.iceberg.util.Tasks$Builder.runTaskWithRetry(Tasks.java:404)
at org.apache.iceberg.util.Tasks$Builder.runSingleThreaded(Tasks.java:214)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:198)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:190)
at org.apache.iceberg.SnapshotProducer.commit(SnapshotProducer.java:282)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.commitOperation(IcebergFilesCommitter.java:312)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.commitDeltaTxn(IcebergFilesCommitter.java:299)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.commitUpToCheckpoint(IcebergFilesCommitter.java:218)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.initializeState(IcebergFilesCommitter.java:153)
at org.apache.flink.streaming.api.operators.StreamOperatorStateHandler.initializeOperatorState(StreamOperatorStateHandler.java:118)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator.initializeState(AbstractStreamOperator.java:290)
at org.apache.flink.streaming.runtime.tasks.OperatorChain.initializeStateAndOpenOperators(OperatorChain.java:441)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreGates(StreamTask.java:585)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.call(StreamTaskActionExecutor.java:55)
at org.apache.flink.streaming.runtime.tasks.StreamTask.executeRestore(StreamTask.java:565)
at org.apache.flink.streaming.runtime.tasks.StreamTask.runWithCleanUpOnFail(StreamTask.java:650)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restore(StreamTask.java:540)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:759)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:566)
at java.lang.Thread.run(Thread.java:748)
job是失败，整个任务失败，重启。
4.4 update测试（不支持）
insert和update放到一个事务，观察：
INSERT INTO `stock_basic` VALUES ('14', '000019.SZ', '000019', '深粮控股', '深圳', '其他商业', '19921012', '深圳市人民政府国有资产监督管理委员会');
update stock_basic set actural_controller='深中华A实控人' where i='13'
测试结果，不支持，报错信息如下：
failure cause: java.lang.IllegalArgumentException: Cannot write delete files in a v1 table
at org.apache.iceberg.ManifestFiles.writeDeleteManifest(ManifestFiles.java:154)
at org.apache.iceberg.SnapshotProducer.newDeleteManifestWriter(SnapshotProducer.java:374)
at org.apache.iceberg.MergingSnapshotProducer.lambda$newDeleteFilesAsManifests$10(MergingSnapshotProducer.java:681)
at java.util.HashMap.forEach(HashMap.java:1289)
at org.apache.iceberg.MergingSnapshotProducer.newDeleteFilesAsManifests(MergingSnapshotProducer.java:678)
at org.apache.iceberg.MergingSnapshotProducer.prepareDeleteManifests(MergingSnapshotProducer.java:664)
at org.apache.iceberg.MergingSnapshotProducer.apply(MergingSnapshotProducer.java:533)
at org.apache.iceberg.SnapshotProducer.apply(SnapshotProducer.java:164)
at org.apache.iceberg.SnapshotProducer.lambda$commit$2(SnapshotProducer.java:283)
at org.apache.iceberg.util.Tasks$Builder.runTaskWithRetry(Tasks.java:404)
at org.apache.iceberg.util.Tasks$Builder.runSingleThreaded(Tasks.java:214)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:198)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:190)
at org.apache.iceberg.SnapshotProducer.commit(SnapshotProducer.java:282)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.commitOperation(IcebergFilesCommitter.java:312)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.commitDeltaTxn(IcebergFilesCommitter.java:299)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.commitUpToCheckpoint(IcebergFilesCommitter.java:218)
at org.apache.iceberg.flink.sink.IcebergFilesCommitter.notifyCheckpointComplete(IcebergFilesCommitter.java:188)
at org.apache.flink.streaming.runtime.tasks.StreamOperatorWrapper.notifyCheckpointComplete(StreamOperatorWrapper.java:99)
at org.apache.flink.streaming.runtime.tasks.SubtaskCheckpointCoordinatorImpl.notifyCheckpointComplete(SubtaskCheckpointCoordinatorImpl.java:334)
at org.apache.flink.streaming.runtime.tasks.StreamTask.notifyCheckpointComplete(StreamTask.java:1171)
at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$notifyCheckpointCompleteAsync$10(StreamTask.java:1136)
at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$notifyCheckpointOperation$12(StreamTask.java:1159)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.runThrowing(StreamTaskActionExecutor.java:50)
at org.apache.flink.streaming.runtime.tasks.mailbox.Mail.run(Mail.java:90)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMailsWhenDefaultActionUnavailable(MailboxProcessor.java:344)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMail(MailboxProcessor.java:330)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:202)
at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:684)
at org.apache.flink.streaming.runtime.tasks.StreamTask.executeInvoke(StreamTask.java:639)
at org.apache.flink.streaming.runtime.tasks.StreamTask.runWithCleanUpOnFail(StreamTask.java:650)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:623)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:779)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:566)
at java.lang.Thread.run(Thread.java:748)
job是失败，整个任务失败，重启。
5 其他异常处理
5.1 The primary key is necessary when enable 'Key: ‘scan.incremental.snapshot.enabled’ 问题处理
Flink SQL> insert into hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink select * from stock_basic_source;
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.ValidationException: The primary key is necessary when enable 'Key: 'scan.incremental.snapshot.enabled' , default: true (fallback keys: [])' to 'true'
解决方法：给表增加主键
5.2 sql执行失败，导致任务无法正常运行
2022-02-22 16:29:02,798 INFO org.apache.flink.runtime.taskmanager.Task [] - Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (2/2)#1 (b64d3cf5f3e1381cfd43edbfa191f353) switched from INITIALIZING to RUNNING.
2022-02-22 16:29:02,798 INFO org.apache.flink.runtime.taskmanager.Task [] - Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (1/2)#1 (7c30148e43c1a292bdaec60ad6d3d3eb) switched from INITIALIZING to RUNNING.
2022-02-22 16:29:02,827 INFO org.apache.iceberg.BaseMetastoreTableOperations [] - Refreshing table metadata from new version: hdfs://ns/user/hive/warehouse/xxzh_stock_mysql_db.db/stock_basic_iceberg_sink/metadata/00000-84c85ba9-818c-4105-8827-9ec99fbedc07.metadata.json
2022-02-22 16:29:02,833 INFO org.apache.iceberg.BaseMetastoreCatalog [] - Table loaded by catalog: hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink
2022-02-22 16:29:02,834 INFO org.apache.flink.runtime.taskmanager.Task [] - IcebergFilesCommitter -> Sink: IcebergSink hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink (1/1)#1 (cd8907160119541a73034cb08ee61f66) switched from INITIALIZING to RUNNING.
2022-02-22 16:29:02,848 INFO org.apache.flink.runtime.taskmanager.Task [] - Attempting to cancel task IcebergFilesCommitter -> Sink: IcebergSink hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink (1/1)#1 (cd8907160119541a73034cb08ee61f66).
2022-02-22 16:29:02,848 INFO org.apache.flink.runtime.taskmanager.Task [] - IcebergFilesCommitter -> Sink: IcebergSink hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink (1/1)#1 (cd8907160119541a73034cb08ee61f66) switched from RUNNING to CANCELING.
2022-02-22 16:29:02,848 INFO org.apache.flink.runtime.taskmanager.Task [] - Triggering cancellation of task code IcebergFilesCommitter -> Sink: IcebergSink hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink (1/1)#1 (cd8907160119541a73034cb08ee61f66).
2022-02-22 16:29:02,849 INFO org.apache.flink.runtime.taskmanager.Task [] - IcebergFilesCommitter -> Sink: IcebergSink hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink (1/1)#1 (cd8907160119541a73034cb08ee61f66) switched from CANCELING to CANCELED.
2022-02-22 16:29:02,849 INFO org.apache.flink.runtime.taskmanager.Task [] - Freeing task resources for IcebergFilesCommitter -> Sink: IcebergSink hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink (1/1)#1 (cd8907160119541a73034cb08ee61f66).
2022-02-22 16:29:02,849 INFO org.apache.flink.runtime.taskmanager.Task [] - Attempting to cancel task Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (2/2)#1 (b64d3cf5f3e1381cfd43edbfa191f353).
2022-02-22 16:29:02,849 INFO org.apache.flink.runtime.taskmanager.Task [] - Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (2/2)#1 (b64d3cf5f3e1381cfd43edbfa191f353) switched from RUNNING to CANCELING.
2022-02-22 16:29:02,849 INFO org.apache.flink.runtime.taskmanager.Task [] - Triggering cancellation of task code Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (2/2)#1 (b64d3cf5f3e1381cfd43edbfa191f353).
2022-02-22 16:29:02,851 INFO org.apache.flink.runtime.taskmanager.Task [] - Attempting to cancel task Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (1/2)#1 (7c30148e43c1a292bdaec60ad6d3d3eb).
2022-02-22 16:29:02,851 INFO org.apache.flink.runtime.taskmanager.Task [] - Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (1/2)#1 (7c30148e43c1a292bdaec60ad6d3d3eb) switched from RUNNING to CANCELING.
2022-02-22 16:29:02,851 INFO org.apache.flink.runtime.taskmanager.Task [] - Triggering cancellation of task code Source: TableSourceScan(table=[[default_catalog, default_database, stock_basic_source]], fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> NotNullEnforcer(fields=[i, ts_code, symbol, name, area, industry, list_date, actural_controller]) -> IcebergStreamWriter (1/2)#1 (7c30148e43c1a292bdaec60ad6d3d3eb).
2022-02-22 16:29:02,852 INFO org.apache.flink.runtime.taskexecutor.TaskExecutor [] - Un-registering task and sending final execution state CANCELED to JobManager for task IcebergFilesCommitter -> Sink: IcebergSink hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink (1/1)#1 cd8907160119541a73034cb08ee61f66.
2022-02-22 16:29:02,852 WARN org.apache.hadoop.ipc.Client [] - interrupted waiting to send rpc request to server
java.lang.InterruptedException: null
at java.util.concurrent.FutureTask.awaitDone(FutureTask.java:404) ~[?:1.8.0_212]
at java.util.concurrent.FutureTask.get(FutureTask.java:191) ~[?:1.8.0_212]
at org.apache.hadoop.ipc.Client$Connection.sendRpcRequest(Client.java:1059) ~[hadoop-common-2.7.2.jar:?]
at org.apache.hadoop.ipc.Client.call(Client.java:1454) ~[hadoop-common-2.7.2.jar:?]
at org.apache.hadoop.ipc.Client.call(Client.java:1412) ~[hadoop-common-2.7.2.jar:?]
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229) ~[hadoop-common-2.7.2.jar:?]
at com.sun.proxy.$Proxy34.delete(Unknown Source) ~[?:?]
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.delete(ClientNamenodeProtocolTranslatorPB.java:540) ~[hadoop-hdfs-2.7.2.jar:?]
at sun.reflect.GeneratedMethodAccessor47.invoke(Unknown Source) ~[?:?]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[?:1.8.0_212]
at java.lang.reflect.Method.invoke(Method.java:498) ~[?:1.8.0_212]
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191) ~[hadoop-common-2.7.2.jar:?]
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) ~[hadoop-common-2.7.2.jar:?]
at com.sun.proxy.$Proxy35.delete(Unknown Source) ~[?:?]
at org.apache.hadoop.hdfs.DFSClient.delete(DFSClient.java:2044) ~[hadoop-hdfs-2.7.2.jar:?]
at org.apache.hadoop.hdfs.DistributedFileSystem$14.doCall(DistributedFileSystem.java:707) ~[hadoop-hdfs-2.7.2.jar:?]
at org.apache.hadoop.hdfs.DistributedFileSystem$14.doCall(DistributedFileSystem.java:703) ~[hadoop-hdfs-2.7.2.jar:?]
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) ~[hadoop-common-2.7.2.jar:?]
at org.apache.hadoop.hdfs.DistributedFileSystem.delete(DistributedFileSystem.java:703) ~[hadoop-hdfs-2.7.2.jar:?]
at org.apache.iceberg.hadoop.HadoopFileIO.deleteFile(HadoopFileIO.java:72) ~[blob_p-e30da2853472e9b543ae7b5d1cb94549195fc3d1-6cffa88d1185c4e23b94000d7618dc2c:?]
at org.apache.iceberg.io.FileIO.deleteFile(FileIO.java:61) ~[blob_p-e30da2853472e9b543ae7b5d1cb94549195fc3d1-6cffa88d1185c4e23b94000d7618dc2c:?]
at org.apache.iceberg.io.BaseTaskWriter$BaseRollingWriter.closeCurrent(BaseTaskWriter.java:286) ~[blob_p-e30da2853472e9b543ae7b5d1cb94549195fc3d1-6cffa88d1185c4e23b94000d7618dc2c:?]
at org.apache.iceberg.io.BaseTaskWriter$BaseRollingWriter.close(BaseTaskWriter.java:302) ~[blob_p-e30da2853472e9b543ae7b5d1cb94549195fc3d1-6cffa88d1185c4e23b94000d7618dc2c:?]
at org.apache.iceberg.io.BaseTaskWriter$BaseEqualityDeltaWriter.close(BaseTaskWriter.java:176) ~[blob_p-e30da2853472e9b543ae7b5d1cb94549195fc3d1-6cffa88d1185c4e23b94000d7618dc2c:?]
at org.apache.iceberg.flink.sink.UnpartitionedDeltaWriter.close(UnpartitionedDeltaWriter.java:58) ~[blob_p-e30da2853472e9b543ae7b5d1cb94549195fc3d1-6cffa88d1185c4e23b94000d7618dc2c:?]
at org.apache.iceberg.flink.sink.IcebergStreamWriter.dispose(IcebergStreamWriter.java:79) ~[blob_p-e30da2853472e9b543ae7b5d1cb94549195fc3d1-6cffa88d1185c4e23b94000d7618dc2c:?]
at org.apache.flink.streaming.runtime.tasks.StreamTask.disposeAllOperators(StreamTask.java:864) ~[flink-dist_2.12-1.13.5.jar:1.13.5]
at org.apache.flink.streaming.runtime.tasks.StreamTask.runAndSuppressThrowable(StreamTask.java:843) [flink-dist_2.12-1.13.5.jar:1.13.5]
at org.apache.flink.streaming.runtime.tasks.StreamTask.cleanUpInvoke(StreamTask.java:756) [flink-dist_2.12-1.13.5.jar:1.13.5]
at org.apache.flink.streaming.runtime.tasks.StreamTask.runWithCleanUpOnFail(StreamTask.java:662) [flink-dist_2.12-1.13.5.jar:1.13.5]
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:623) [flink-dist_2.12-1.13.5.jar:1.13.5]
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:779) [flink-dist_2.12-1.13.5.jar:1.13.5]
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:566) [flink-dist_2.12-1.13.5.jar:1.13.5]
at java.lang.Thread.run(Thread.java:748) [?:1.8.0_212]
2022-02-22 16:29:02,854 WARN org.apache.hadoop.ipc.Client [] - interrupted waiting to send rpc request to server
java.lang.InterruptedException: null
insert语句在进群的运行异常。
解决方法：先跑select 语句调试，sql命令行的信息更完整！
例如：
Flink SQL> insert into hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink select * from stock_basic_source;
[INFO] Submitting SQL update statement to the cluster...
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.ValidationException: Column types of query result and sink for registered table 'hive_catalog6.xxzh_stock_mysql_db.stock_basic_iceberg_sink' do not match.
Cause: Incompatible types for sink column 'ts_code' at position 1.
Query schema: [i: INT NOT NULL, ts_code: CHAR(10) NOT NULL, symbol: CHAR(10) NOT NULL, name: CHAR(10) NOT NULL, area: CHAR(20) NOT NULL, industry: CHAR(20) NOT NULL, list_date: CHAR(10) NOT NULL, actural_controller: CHAR(100)]
Sink schema: [i: INT, ts_code: INT, symbol: STRING, name: STRING, area: STRING, industry: STRING, list_date: STRING, actural_controller: STRING]
总结
flink1.13.5, flink-sql-connector-mysql-cdc-2.1.1.jar 目前只支持insert语句，对update和delete不支持
之前使用spark测试iceberg,crud都支持的. 是否有参数配置，使得update,delete支持？