FlinkSql-cdc 实时ETL kafka 数据

以你之姓@ 2022-09-01 13:58 401阅读 0赞

### 文章目录 ###

*  资源参考
 *  1, 配置 debezium-mysql kafka 连接器
 *   *  a, mysql开启binlog, 创建mysql 表和cdc用户
     *  b, 使用 ksql 创建kafka连接器：debezium
     *  c, flink sql 读写数据( mysql-- > hbase)
 *  2, 配置 debezium-oracle kafka 连接器
 *   *  a, oracle启用archive-log，并配置用户权限
     *  b, 使用 ksql 创建kafka连接器：debezium
     *  c, flink sql 读写数据 (oracle -- > hbase)
 *  3, 使用 web 提交flink sql 任务
 *  4, flink 读取 confluent avro topic数据

# 资源参考 #

*  参考云邪： [https://github.com/ververica/flink-cdc-connectors][https_github.com_ververica_flink-cdc-connectors]
 *  flink 社区：[https://www.jianshu.com/u/504bc225cb7a][https_www.jianshu.com_u_504bc225cb7a]，  
    Bilibili视频（flink社区）：[https://www.bilibili.com/video/BV1zt4y1D7kt/][https_www.bilibili.com_video_BV1zt4y1D7kt]
 *  flink join语法： [https://ci.apache.org/projects/flink/flink-docs-release-1.13/zh/docs/dev/table/sql/queries/joins/index.html][https_ci.apache.org_projects_flink_flink-docs-release-1.13_zh_docs_dev_table_sql_queries_joins_index.html]

# 1, 配置 debezium-mysql kafka 连接器 #

## a, mysql开启binlog, 创建mysql 表和cdc用户 ##

配置mysql: [https://debezium.io/documentation/reference/1.3/connectors/mysql.html\#setup-the-mysql-server][https_debezium.io_documentation_reference_1.3_connectors_mysql.html_setup-the-mysql-server]

mysql> show master status;
    +------------------+----------+--------------+------------------+
    | File             | Position | Binlog_Do_DB | Binlog_Ignore_DB |
    +------------------+----------+--------------+------------------+
    | mysql-bin.000001 | 10290780 |              |                  |
    +------------------+----------+--------------+------------------+
    1 row in set (0.00 sec)
    
    mysql> use test2;
    mysql> show create table employee;
    +----------+--------------------------------------------------------------------                                                                                                                              
    | Table    | Create Table                                                                                                                                                                                                                                                                                                                 
    +----------+--------------------------------------------------------------------                                                               +
    | employee | CREATE TABLE `employee` (
      `id` int(11) DEFAULT NULL,
      `dept_id` int(11) DEFAULT NULL,
      `name` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci |
    +----------+--------------------------------------------------------------------
    1 row in set (0.00 sec)

## b, 使用 ksql 创建kafka连接器：debezium ##

ksql> CREATE SOURCE CONNECTOR `mysql-dbz-src2` WITH(  
         "connector.class"='io.debezium.connector.mysql.MySqlConnector',     
         "tasks.max"='1',
         "database.hostname"='127.0.0.1',
         "database.port"='3306',
         "database.server.name"='dbz2',
    
         "database.user"='cdc',
         "database.password"='cdc',
         
         "database.whitelist"='test2',
         "database.history.kafka.bootstrap.servers"='localhost:9092',
         "database.history.kafka.topic"='schema-changes2.inventory2'
    );
    
    ksql> show connectors;
     Connector Name  | Type   | Class                                         | Status
    --------------------------------------------------------------------------------------------------------
     mysql-dbz-src2  | SOURCE | io.debezium.connector.mysql.MySqlConnector    | RUNNING (1/1 tasks RUNNING)
    --------------------------------------------------------------------------------------------------------
    
    ksql> show topics;
     Kafka Topic                 | Partitions | Partition Replicas
    ---------------------------------------------------------------
     dbz2                        | 1          | 1
     dbz2.test2.dept             | 1          | 1
     dbz2.test2.employee         | 1          | 1
     dbz2.test2.enriched_orders  | 1          | 1
     dbz2.test2.orders           | 1          | 1
     dbz2.test2.products         | 1          | 1
     dbz2.test2.salary           | 1          | 1
     dbz2.test2.shipments        | 1          | 1
     default_ksql_processing_log | 1          | 1
    ---------------------------------------------------------------

通过confluent platform查看kafka数据：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70]  
查看topic schema中：表字段和数据类型  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 1]

## c, flink sql 读写数据( mysql-- > hbase) ##

*  dedebezium 连接器参数：[https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/table/connectors/formats/debezium.html][https_ci.apache.org_projects_flink_flink-docs-release-1.12_dev_table_connectors_formats_debezium.html]
 *  hbase 连接器参数：[https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/table/connectors/hbase.html][https_ci.apache.org_projects_flink_flink-docs-release-1.12_dev_table_connectors_hbase.html]

mysql join查询结果：（flink sql 执行类型sql来合并数据并写入hbase)  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 2]

[root@localhost bin]$ ./sql-client.sh "embedded"
      |  ____| (_)     | |     / ____|/ __ \| |       / ____| (_)          | |
       | |__  | |_ _ __ | | __ | (___ | |  | | |      | |    | |_  ___ _ __ | |_
       |  __| | | | '_ \| |/ / \___ \| | | | | | | | | |/ _ \ '_ \| __|
       | |    | | | | | |   <   ____) | |__| | |____  | |____| | |  __/ | | | |_
       |_|    |_|_|_| |_|_|\_\ |_____/ \___\_\______|  \_____|_|_|\___|_| |_|\__|
    
            Welcome! Enter 'HELP;' to list all available commands. 'QUIT;' to exit.
    
    
    Flink SQL>  // dbz2.test2.employee: (字段类型和 registry.url中保持一致，才能解析数据）
    		CREATE TABLE topic_test2_employee (
    		  id int,
    		  dept_id int,
    		  name string
    		) WITH (
    		 'connector' = 'kafka',
    		 'topic' = 'dbz2.test2.employee',
    		 'properties.bootstrap.servers' = 'localhost:9092',
    		 'scan.startup.mode' = 'earliest-offset',
    		 'format' = 'debezium-avro-confluent',
    		 'debezium-avro-confluent.schema-registry.url' = 'http://localhost:9081'
    		);
    
    		CREATE TABLE topic_test2_dept (
    			  id int,
    			  name string
    			) WITH (
    			 'connector' = 'kafka',
    			 'topic' = 'dbz2.test2.dept',
    			 'properties.bootstrap.servers' = 'localhost:9092',
    			 'scan.startup.mode' = 'earliest-offset',
    			 'format' = 'debezium-avro-confluent',
    			 'debezium-avro-confluent.schema-registry.url' = 'http://localhost:9081'
    			);
    
    		CREATE TABLE topic_test2_salary (
    		  id int,
    		  emp_id int,
    		  money double
    		) WITH (
    		 'connector' = 'kafka',
    		 'topic' = 'dbz2.test2.salary',
    		 'properties.bootstrap.servers' = 'localhost:9092',
    		 'scan.startup.mode' = 'earliest-offset',
    		 'format' = 'debezium-avro-confluent',
    		 'debezium-avro-confluent.schema-registry.url' = 'http://localhost:9081'
    		);
    		
    		CREATE TABLE hbase_www (
    		 emp_id string,
    		 f ROW<emp_dept_id string, name string , deptname string, salary string>,
    		 PRIMARY KEY (emp_id) NOT ENFORCED
    		) WITH (
    		 'connector' = 'hbase-1.4',
    		 'table-name' = 'www',
    		 'zookeeper.quorum' = '192.168.56.117:2181'
    		);
    
    #关联查询
    insert into hbase_www
    select  cast(emp.id as string) emp_id, 
    	ROW(cast( emp.dept_id as string) , emp.name , dept.name , cast( salary.money as string)    )
    from topic_test2_employee  emp
    inner join topic_test2_dept dept on dept.id=emp.dept_id
    inner join topic_test2_salary salary on salary.emp_id= emp.id
    
    [INFO] Submitting SQL update statement to the cluster...
    [INFO] Table update statement has been successfully submitted to the cluster:
    Job ID: 137c51550417ab7003c00c95d74f842b

登录flink web ui: 查看运行的任务  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 3]查看hbase 数据是否实时变化（mysql insert/update/delete数据后，是否同步变化）

hbase(main):016:0> scan 'xx_t1'
    ROW                                      COLUMN+CELL
     1                                       column=f:dept_id, timestamp=1627454335726, value=1
     1                                       column=f:name, timestamp=1627454335726, value=Li si
     2                                       column=f:dept_id, timestamp=1627454335726, value=2
     2                                       column=f:name, timestamp=1627454335726, value=Test 1
    2 row(s) in 0.0120 seconds

# 2, 配置 debezium-oracle kafka 连接器 #

[https://debezium.io/documentation/reference/1.6/connectors/oracle.html\#oracle-deploying-a-connector][https_debezium.io_documentation_reference_1.6_connectors_oracle.html_oracle-deploying-a-connector]  
oracle join 查询的数据：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 4]

## a, oracle启用archive-log，并配置用户权限 ##

SQL> shutdown immediate	
    	startup mount
    	alter database archivelog;
    	alter database open;
    	-- Should now "Database log mode: Archive Mode"
    	-- archive log list 
    	ALTER TABLE user1.table1 ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;
    	ALTER DATABASE ADD SUPPLEMENTAL LOG DATA;
    	
    SQL> CREATE TABLESPACE logminer_tbs DATAFILE '/home/oracle/logminer_tbs.dbf' SIZE 25M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;
    	CREATE USER dbz IDENTIFIED BY dbz DEFAULT TABLESPACE logminer_tbs   QUOTA UNLIMITED ON logminer_tbs ;
    	  
    	GRANT CREATE SESSION TO dbz ;
    	GRANT SELECT ON V_$DATABASE to dbz ;
    	GRANT FLASHBACK ANY TABLE TO dbz ;
    	GRANT SELECT ANY TABLE TO dbz ;
    	GRANT SELECT_CATALOG_ROLE TO dbz ;
    	GRANT EXECUTE_CATALOG_ROLE TO dbz ;
    	GRANT SELECT ANY TRANSACTION TO dbz ;	
    	--GRANT LOGMINING TO dbz ; 11g err: 替换为以下两行
    	GRANT EXECUTE ON SYS.DBMS_LOGMNR TO dbz;
    	GRANT SELECT ON V_$LOGMNR_CONTENTS TO dbz;
    	GRANT CREATE TABLE TO dbz ;
    	GRANT LOCK ANY TABLE TO dbz ;
    	GRANT ALTER ANY TABLE TO dbz ;
    	GRANT CREATE SEQUENCE TO dbz ;
    	
    	GRANT EXECUTE ON DBMS_LOGMNR TO dbz ;
    	GRANT EXECUTE ON DBMS_LOGMNR_D TO dbz ;	
    	GRANT SELECT ON V_$LOG TO dbz ;
    	GRANT SELECT ON V_$LOG_HISTORY TO dbz ;
    	GRANT SELECT ON V_$LOGMNR_LOGS TO dbz ;	
    	GRANT SELECT ON V_$LOGMNR_CONTENTS TO dbz ;
    	GRANT SELECT ON V_$LOGMNR_PARAMETERS TO dbz ;
    	GRANT SELECT ON V_$LOGFILE TO dbz ;
    	GRANT SELECT ON V_$ARCHIVED_LOG TO dbz ;
    	GRANT SELECT ON V_$ARCHIVE_DEST_STATUS TO dbz ;

## b, 使用 ksql 创建kafka连接器：debezium ##

*  The Debezium Oracle connector by default ingests changes using native Oracle LogMiner.

ksql> CREATE SOURCE CONNECTOR `oracle_cdc4` WITH(  
           "connector.class"='io.debezium.connector.oracle.OracleConnector',     
           "tasks.max" ='1',
            "database.server.name" ='helowin_cdc4',
            "database.hostname" ='localhost',
            "database.port" ='15211',
            "database.user" ='dbz',
            "database.password" ='dbz',
    		"schema.include.list"='SCOTT',
    		"database.dbname" ='helowin',
    		"decimal.handling.mode"='string',
            "database.history.kafka.bootstrap.servers" ='localhost:9092',
            "database.history.kafka.topic"='schema-changes.oracle_cdc4',
    	    "database.history.skip.unparseable.ddl"=true       
    );
    
    ksql> show connectors;
     Connector Name    | Type   | Class                                                    | Status
    --------------------------------------------------------------
     oracle_cdc4       | SOURCE | io.debezium.connector.oracle.OracleConnector             | RUNNING (1/1 tasks RUNNING)
    
    ksql> show topics;
     Kafka Topic                 | Partitions | Partition Replicas
    ---------------------------------------------------------------
     helowin_cdc4                | 1          | 1
     helowin_cdc4.SCOTT.DEPT     | 1          | 1
     helowin_cdc4.SCOTT.EMP      | 1          | 1
     helowin_cdc4.SCOTT.SALGRADE | 1          | 1
     helowin_cdc4.SCOTT.TEST     | 1          | 1
     
    ksql> set 'auto.offset.reset'='earliest';
    Successfully changed local property 'auto.offset.reset' from 'earliest' to 'earliest'.
    ksql> print `helowin_cdc4.SCOTT.TEST`;
    Key format: SESSION(AVRO) or HOPPING(AVRO) or TUMBLING(AVRO) or AVRO or SESSION(PROTOBUF) or HOPPING(PROTOBUF) or TUMBLING(PROTOBUF) or PROTOBUF or SESSION(JSON) or HOPPING(JSON) or TUMBLING(JSON) or JSON or SESSION(JSON_SR) or HOPPING(JSON_SR) or TUMBLING(JSON_SR) or JSON_SR or SESSION(KAFKA_INT) or HOPPING(KAFKA_INT) or TUMBLING(KAFKA_INT) or KAFKA_INT or SESSION(KAFKA_BIGINT) or HOPPING(KAFKA_BIGINT) or TUMBLING(KAFKA_BIGINT) or KAFKA_BIGINT or SESSION(KAFKA_DOUBLE) or HOPPING(KAFKA_DOUBLE) or TUMBLING(KAFKA_DOUBLE) or KAFKA_DOUBLE or SESSION(KAFKA_STRING) or HOPPING(KAFKA_STRING) or TUMBLING(KAFKA_STRING) or KAFKA_STRING
    Value format: AVRO
    rowtime: 7/29/21 11:33:09 AM CST, key: <null>, value: { "before": null, "after": { "ID": "2", "NAME": "b", "MARK": "b"}, "source": { "version": "1.6.1.Final", "connector": "oracle", "name": "helowin_cdc4", "ts_ms": 1627529588336, "snapshot": "last", "db": "HELOWIN", "sequence": null, "schema": "SCOTT", "table": "TEST", "txId": null, "scn": "1103657", "commit_scn": null, "lcr_position": null}, "op": "r", "ts_ms": 1627529588336, "transaction": null}
    rowtime: 7/29/21 12:11:18 PM CST, key: <null>, value: { "before": null, "after": { "ID": "3", "NAME": "c", "MARK": "c"}, "source": { "version": "1.6.1.Final", "connector": "oracle", "name": "helowin_cdc4", "ts_ms": 1627511996000, "snapshot": "false", "db": "HELOWIN", "sequence": null, "schema": "SCOTT", "table": "TEST", "txId": "02001f0051030000", "scn": "1145746", "commit_scn": "1145747", "lcr_position": null}, "op": "c", "ts_ms": 1627531878417, "transaction": null}
    rowtime: 7/29/21 12:12:07 PM CST, key: <null>, value: { "before": { "ID": "3", "NAME": "c", "MARK": "c"}, "after": { "ID": "3", "NAME": "c2", "MARK": "c2"}, "source": { "version": "1.6.1.Final", "connector": "oracle", "name": "helowin_cdc4", "ts_ms": 1627512679000, "snapshot": "false", "db": "HELOWIN", "sequence": null, "schema": "SCOTT", "table": "TEST", "txId": "0200080068030000", "scn": "1145746", "commit_scn": "1174275", "lcr_position": null}, "op": "u", "ts_ms": 1627531927799, "transaction": null}

## c, flink sql 读写数据 (oracle – > hbase) ##

Flink SQL> CREATE TABLE emp (
    			  EMPNO int, ENAME string, JOB string, MGR int, HIREDATE BIGINT , SAL string , COMM string, DEPTNO int
    			) WITH (
    			  'connector' = 'kafka',
    			  'properties.bootstrap.servers' = 'localhost:9092',
    			  'topic' = 'helowin_cdc4.SCOTT.EMP',
    			  'format' = 'debezium-avro-confluent',
    			  'debezium-avro-confluent.schema-registry.url' = 'http://localhost:9081',
    			  'scan.startup.mode' = 'earliest-offset'
    			);
    			
    			CREATE TABLE dept (
    			  DEPTNO int, DNAME string, LOC string
    			) WITH (
    			  'connector' = 'kafka',
    			  'properties.bootstrap.servers' = 'localhost:9092',
    			  'topic' = 'helowin_cdc4.SCOTT.DEPT',
    			  'format' = 'debezium-avro-confluent',
    			  'debezium-avro-confluent.schema-registry.url' = 'http://localhost:9081',
    			  'scan.startup.mode' = 'earliest-offset'
    			);
    			
    			CREATE TABLE hbase_www2 (
    			 EMPNO   string ,
    			 f ROW<ENAME string, JOB string , MGR string, 
    			 	HIREDATE string, SAL string, COMM string, 
    			 	DEPTNO string, DNAME string,  LOC string>,
    			 PRIMARY KEY (EMPNO ) NOT ENFORCED
    			) WITH (
    			 'connector' = 'hbase-1.4',
    			 'table-name' = 'www',
    			 'zookeeper.quorum' = 'localhost:2181'
    			);
    
    //合并多个表的flink 视图
    create view dept_emp_v as
    select cast(EMPNO as string) EMPNO, ENAME , JOB, cast(MGR as string) MGR, cast(HIREDATE as string) HIREDATE, SAL, COMM, cast(emp.DEPTNO as string) DEPTNO, dept.DNAME ,dept.LOC 
    from  emp
    INNER JOIN dept 
    ON emp.DEPTNO =dept.DEPTNO 
    
    //从视图中检索数据并插入hbase
    insert into hbase_www2
    select EMPNO , ROW(  ENAME , JOB, MGR , HIREDATE, SAL, COMM, DEPTNO , DNAME ,LOC   )
    from  dept_emp_v
    
    [INFO] Submitting SQL update statement to the cluster...
    [INFO] Table update statement has been successfully submitted to the cluster:
    Job ID: e73a8f4c8860a3bc83879e1a50543350

# 3, 使用 web 提交flink sql 任务 #

[https://gitee.com/zhuhuipei/flink-streaming-platform-web/blob/master/docs/deploy.md][https_gitee.com_zhuhuipei_flink-streaming-platform-web_blob_master_docs_deploy.md]  
登录web ui: http://$\{ip或者hostname\}:9084/ , admin 123456 (编辑sql任务）

*  注意：创建任务时，`三方jar地址` 那一栏最好留空，把相关jar包手动下载到 flink\_home/lib, 排除`http://ccblog.cn/jars/flink-streaming-udf.jar` 这个jar包避免和flink内置的函数有冲突
 *  platform 工作原理：本质是调用了flink客户端，提交一个jar包任务  
    `flink run -d -p 2`  
    `-c com.flink.streaming.core.JobApplication`  
    `flink-streaming-platform-web/lib/flink-streaming-core_flink_1.12.0-1.2.0.RELEASE.jar`  
    `-sql flink-streaming-platform-web/sql/job_sql_8.sql`

#常用jar包 
    https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/table/connectors/formats/avro-confluent.html
    https://repo1.maven.org/maven2/com/alibaba/ververica/flink-sql-connector-mysql-cdc/1.1.0/flink-sql-connector-mysql-cdc-1.1.0.jar
    https://repo.maven.apache.org/maven2/org/apache/flink/flink-sql-connector-hbase-1.4_2.11/1.12.3/flink-sql-connector-hbase-1.4_2.11-1.12.3.jar
    http://ccblog.cn/jars/flink-connector-jdbc_2.11-1.12.0.jar
    http://ccblog.cn/jars/flink-sql-connector-kafka_2.11-1.12.0.jar

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 5]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 6]

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 7]

# 4, flink 读取 confluent avro topic数据 #

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 8]

ksql> CREATE STREAM t1 (id int ,  name VARCHAR) WITH ( KAFKA_TOPIC='t1', PARTITIONS='2',VALUE_FORMAT='avro');
    ksql> insert into t1(id,name) values (1,'a');
    ksql> select * from t1 emit changes;
    +------------------+------------------+------------------+------------------+
    |ROWTIME           |ROWKEY            |ID                |NAME              |
    +------------------+------------------+------------------+------------------+
    |1627631954797     |null              |1                 |a                 |
    
    
    Flink SQL> CREATE TABLE t1 (
    			  ID int,
    			  NAME string
    			) WITH (
    			  'connector' = 'kafka',
    			  'properties.bootstrap.servers' = 'localhost:9092',
    			  'topic' = 't1',
    			  'format' = 'avro-confluent',
    			  'avro-confluent.schema-registry.url' = 'http://localhost:9081',
    			  'scan.startup.mode' = 'earliest-offset'
    			);

[https_github.com_ververica_flink-cdc-connectors]: https://github.com/ververica/flink-cdc-connectors
[https_www.jianshu.com_u_504bc225cb7a]: https://www.jianshu.com/u/504bc225cb7a
[https_www.bilibili.com_video_BV1zt4y1D7kt]: https://www.bilibili.com/video/BV1zt4y1D7kt/
[https_ci.apache.org_projects_flink_flink-docs-release-1.13_zh_docs_dev_table_sql_queries_joins_index.html]: https://ci.apache.org/projects/flink/flink-docs-release-1.13/zh/docs/dev/table/sql/queries/joins/index.html
[https_debezium.io_documentation_reference_1.3_connectors_mysql.html_setup-the-mysql-server]: https://debezium.io/documentation/reference/1.3/connectors/mysql.html#setup-the-mysql-server
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