From 16514f8e19f9a1e0a33fcf34f9177263ab4dc8eb Mon Sep 17 00:00:00 2001 From: xuchao Date: Tue, 7 Apr 2020 15:23:45 +0800 Subject: [PATCH] =?UTF-8?q?=E9=87=8D=E6=9E=84=E6=96=87=E6=A1=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 358 +++--------------------- README.md.back | 328 ++++++++++++++++++++++ docs/config.md | 105 +++++++ docs/demo.md | 85 ++++++ docs/images/streamsql_dd.jpg | Bin 0 -> 199826 bytes docs/newMetric.md | 32 +++ docs/{ => plugin}/cassandraSide.md | 4 +- docs/{ => plugin}/cassandraSink.md | 2 +- docs/{ => plugin}/clickhouseSide.md | 2 +- docs/{ => plugin}/clickhouseSink.md | 2 +- docs/{ => plugin}/consoleSink.md | 2 +- docs/{ => plugin}/db2Side.md | 2 +- docs/{ => plugin}/db2Sink.md | 2 +- docs/{ => plugin}/elasticsearch6Side.md | 2 +- docs/{ => plugin}/elasticsearch6Sink.md | 2 +- docs/{ => plugin}/elasticsearchSink.md | 2 +- docs/{ => plugin}/hbaseSide.md | 0 docs/{ => plugin}/hbaseSink.md | 2 +- docs/{ => plugin}/impalaSide.md | 2 +- docs/{ => plugin}/impalaSink.md | 2 +- docs/{ => plugin}/kafkaSource.md | 4 +- docs/{ => plugin}/kuduSide.md | 2 +- docs/{ => plugin}/kuduSink.md | 2 +- docs/{ => plugin}/mongoSide.md | 2 +- docs/{ => plugin}/mongoSink.md | 2 +- docs/{ => plugin}/mysqlSide.md | 2 +- docs/{ => plugin}/mysqlSink.md | 2 +- docs/{ => plugin}/oracleSide.md | 2 +- docs/{ => plugin}/oracleSink.md | 2 +- docs/{ => plugin}/polardbSide.md | 2 +- docs/{ => plugin}/polardbSink.md | 2 +- docs/{ => plugin}/postgresqlSide.md | 2 +- docs/{ => plugin}/postgresqlSink.md | 2 +- docs/{ => plugin}/redisSide.md | 0 docs/{ => plugin}/redisSink.md | 0 docs/{ => plugin}/serverSocketSource.md | 0 docs/{ => plugin}/sqlserverSide.md | 2 +- docs/{ => plugin}/sqlserverSink.md | 2 +- docs/pluginsInfo.md | 32 +++ docs/prometheus.md | 7 - 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- ## 新特性: - * 1.kafka源表支持not null语法,支持字符串类型的时间转换。 - * 2.rdb维表与DB建立连接时，周期进行连接，防止连接断开。rdbsink写入时，对连接进行检查。 - * 3.异步维表支持非等值连接，比如：<>,<,>。 - * 4.增加kafka数组解析 - * 5.增加kafka1.0以上版本的支持 - * 6.增加postgresql、kudu、clickhouse维表、结果表的支持 - * 7.支持插件的依赖方式,参考pluginLoadMode参数 - * 8.支持cep处理 - * 9.支持udaf - * 10.支持谓词下移 - * 11.支持状态的ttl - - ## BUG修复： - * 1.修复不能解析sql中orderby,union语法。 - * 2.修复yarnPer模式提交失败的异常。 - * 3.一些bug的修复 - -# 已支持 - * 源表：kafka 0.9、0.10、0.11、1.x版本 - * 维表：mysql, SQlServer,oracle, hbase, mongo, redis, cassandra, serversocket, kudu, postgresql, clickhouse, impala, db2, sqlserver - * 结果表：mysql, SQlServer, oracle, hbase, elasticsearch5.x, mongo, redis, cassandra, console, kudu, postgresql, clickhouse, impala, db2, sqlserver - -# 后续开发计划 - * 维表快照 - * kafka avro格式 - * topN - -## 1 快速起步 -### 1.1 运行模式 - - -* 单机模式：对应Flink集群的单机模式 -* standalone模式：对应Flink集群的分布式模式 -* yarn模式：对应Flink集群的yarn模式 - -### 1.2 执行环境 - -* Java: JDK8及以上 -* Flink集群: 1.4,1.5,1.8（单机模式不需要安装Flink集群） -* 操作系统：理论上不限 -* kerberos环境需要在flink-conf.yaml配置security.kerberos.login.keytab以及security.kerberos.login.principal参数，配置案例: -``` -## hadoop配置文件路径 -fs.hdfs.hadoopconf: /Users/maqi/tmp/hadoopconf/hadoop_250 -security.kerberos.login.use-ticket-cache: true -security.kerberos.login.keytab: /Users/maqi/tmp/hadoopconf/hadoop_250/maqi.keytab -security.kerberos.login.principal: maqi@DTSTACK.COM -security.kerberos.login.contexts: Client,KafkaClient -zookeeper.sasl.service-name: zookeeper -zookeeper.sasl.login-context-name: Client - -``` - -### 1.3 打包 - -进入项目根目录，使用maven打包： - -``` -mvn clean package -Dmaven.test.skip - -``` - -打包完成后的包结构： - -> * dt-center-flinkStreamSQL -> > * bin: 任务启动脚本 -> > * lib: launcher包存储路径，是任务提交的入口 -> > * plugins: 插件包存储路径 -> > * ........ : core及插件代码 - -### 1.4 启动 - -#### 1.4.1 启动命令 - -``` -sh submit.sh -sql D:\sideSql.txt -name xctest -remoteSqlPluginPath /opt/dtstack/150_flinkplugin/sqlplugin -localSqlPluginPath D:\gitspace\flinkStreamSQL\plugins -addjar \["udf.jar\"\] -mode yarn -flinkconf D:\flink_home\kudu150etc -yarnconf D:\hadoop\etc\hadoopkudu -confProp \{\"time.characteristic\":\"EventTime\",\"sql.checkpoint.interval\":10000\} -yarnSessionConf \{\"yid\":\"application_1564971615273_38182\"} -``` - -#### 1.4.2 命令行参数选项 - -* **mode** - * 描述：执行模式，也就是flink集群的工作模式 - * local: 本地模式 - * standalone: 提交到独立部署模式的flink集群 - * yarn: 提交到yarn模式的flink集群(即提交到已有flink集群) - * yarnPer: yarn per_job模式提交(即创建新flink application) - * 必选：否 - * 默认值：local - -* **name** - * 描述：flink 任务对应名称。 - * 必选：是 - * 默认值：无 - -* **sql** - * 描述：执行flink sql 的主体语句。 - * 必选：是 - * 默认值：无 - -* **localSqlPluginPath** - * 描述：本地插件根目录地址，也就是打包后产生的plugins目录。 - * 必选：是 - * 默认值：无 - -* **remoteSqlPluginPath** - * 描述：flink执行集群上的插件根目录地址（将打包好的插件存放到各个flink节点上,如果是yarn集群需要存放到所有的nodemanager上）。 - * 必选：否 - * 默认值：无 - -* **addjar** - * 描述：扩展jar路径,当前主要是UDF定义的jar； - * 格式：json - * 必选：否 - * 默认值：无 +FlinkStreamSQL +============ +[![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html) + +##技术交流 +- 招聘**大数据平台开发工程师**，想了解岗位详细信息可以添加本人微信号ysqwhiletrue，注明招聘，如有意者发送简历至[sishu@dtstack.com](mailto:sishu@dtstack.com) +- 我们使用[钉钉](https://www.dingtalk.com/)沟通交流，可以搜索群号[**30537511**]或者扫描下面的二维码进入钉钉群 +
+ +
+ +##介绍 + * 基于开源的flink，对其实时sql进行扩展 + * 自定义create table 语法（包括源表,输出表,维表） + * 自定义create view 语法 + * 自定义create function 语法 + * 实现了流与维表的join + * 支持原生FLinkSQL所有的语法 + * 扩展了输入和输出的性能指标到promethus -* **confProp** - * 描述：一些参数设置 - * 格式: json - * 必选：是 （如无参数填写空json即可） - * 默认值：无 - * 可选参数: - * sql.ttl.min: 最小过期时间,大于0的整数,如1d、1h(d\D:天,h\H:小时,m\M:分钟,s\s:秒) - * sql.ttl.max: 最大过期时间,大于0的整数,如2d、2h(d\D:天,h\H:小时,m\M:分钟,s\s:秒),需同时设置最小时间,且比最小时间大5分钟 - * state.backend: 任务状态后端，可选为MEMORY,FILESYSTEM,ROCKSDB，默认为flinkconf中的配置。 - * state.checkpoints.dir: FILESYSTEM,ROCKSDB状态后端文件系统存储路径，例如：hdfs://ns1/dtInsight/flink180/checkpoints。 - * state.backend.incremental: ROCKSDB状态后端是否开启增量checkpoint,默认为true。 - * sql.env.parallelism: 默认并行度设置 - * sql.max.env.parallelism: 最大并行度设置 - * time.characteristic: 可选值[ProcessingTime|IngestionTime|EventTime] - * sql.checkpoint.interval: 设置了该参数表明开启checkpoint(ms) - * sql.checkpoint.mode: 可选值[EXACTLY_ONCE|AT_LEAST_ONCE] - * sql.checkpoint.timeout: 生成checkpoint的超时时间(ms) - * sql.max.concurrent.checkpoints: 最大并发生成checkpoint数 - * sql.checkpoint.cleanup.mode: 默认是不会将checkpoint存储到外部存储,[true(任务cancel之后会删除外部存储)|false(外部存储需要手动删除)] - * flinkCheckpointDataURI: 设置checkpoint的外部存储路径,根据实际的需求设定文件路径,hdfs://, file:// - * jobmanager.memory.mb: per_job模式下指定jobmanager的内存大小(单位MB, 默认值:768) - * taskmanager.memory.mb: per_job模式下指定taskmanager的内存大小(单位MB, 默认值:768) - * taskmanager.num: per_job模式下指定taskmanager的实例数(默认1) - * taskmanager.slots：per_job模式下指定每个taskmanager对应的slot数量(默认1) - * savePointPath：任务恢复点的路径（默认无） - * allowNonRestoredState：指示保存点是否允许非还原状态的标志（默认false） - * logLevel: 日志级别动态配置（默认info） - * [prometheus 相关参数](docs/prometheus.md) per_job可指定metric写入到外部监控组件,以prometheus pushgateway举例 +##目录 + +[ 1.1 demo]((docs/demo.md)) +[ 1.2 快速开始](docs/quickStart.md) +[ 1.3 参数配置](docs/config.md) +[ 1.4 支持的插件介绍和demo](docs/pluginsInfo.md) +[ 1.5 指标参数](docs/newMetric.md) +[ 1.6 自定义函数](docs/function.md) +[ 1.7 视图定义](docs/createView.md) + - -* **flinkconf** - * 描述：flink配置文件所在的目录（单机模式下不需要），如/hadoop/flink-1.4.0/conf - * 必选：否 - * 默认值：无 - -* **yarnconf** - * 描述：Hadoop配置文件（包括hdfs和yarn）所在的目录（单机模式下不需要），如/hadoop/etc/hadoop - * 必选：否 - * 默认值：无 - -* **flinkJarPath** - * 描述：per_job 模式提交需要指定本地的flink jar存放路径 - * 必选：否 - * 默认值：false - -* **queue** - * 描述：per_job 模式下指定的yarn queue - * 必选：否 - * 默认值：false - -* **pluginLoadMode** - * 描述：per_job 模式下的插件包加载方式。classpath:从每台机器加载插件包，shipfile:将需要插件从提交的节点上传到hdfs,不需要每台安装插件 - * 必选：否 - * 默认值：classpath - -* **yarnSessionConf** - * 描述：yarn session 模式下指定的运行的一些参数，[可参考](https://ci.apache.org/projects/flink/flink-docs-release-1.8/ops/cli.html),目前只支持指定yid - * 必选：否 - * 默认值：false - - -## 2 结构 -### 2.1 源表插件 -* [kafka 源表插件](docs/kafkaSource.md) - -### 2.2 结果表插件 -* [elasticsearch 结果表插件](docs/elasticsearchSink.md) -* [hbase 结果表插件](docs/hbaseSink.md) -* [mysql 结果表插件](docs/mysqlSink.md) -* [oracle 结果表插件](docs/oracleSink.md) -* [mongo 结果表插件](docs/mongoSink.md) -* [redis 结果表插件](docs/redisSink.md) -* [cassandra 结果表插件](docs/cassandraSink.md) -* [kudu 结果表插件](docs/kuduSink.md) -* [postgresql 结果表插件](docs/postgresqlSink.md) -* [clickhouse 结果表插件](docs/clickhouseSink.md) -* [impala 结果表插件](docs/impalaSink.md) -* [db2 结果表插件](docs/db2Sink.md) -* [sqlserver 结果表插件](docs/sqlserverSink.md) - -### 2.3 维表插件 -* [hbase 维表插件](docs/hbaseSide.md) -* [mysql 维表插件](docs/mysqlSide.md) -* [oracle 维表插件](docs/oracleSide.md) -* [mongo 维表插件](docs/mongoSide.md) -* [redis 维表插件](docs/redisSide.md) -* [cassandra 维表插件](docs/cassandraSide.md) -* [kudu 维表插件](docs/kuduSide.md) -* [postgresql 维表插件](docs/postgresqlSide.md) -* [clickhouse 维表插件](docs/clickhouseSide.md) -* [impala 维表插件](docs/impalaSide.md) -* [db2 维表插件](docs/db2Side.md) -* [sqlserver 维表插件](docs/sqlserverSide.md) - -## 3 性能指标(新增) - -### kafka插件 -* 业务延迟： flink_taskmanager_job_task_operator_dtEventDelay(单位s) - 数据本身的时间和进入flink的当前时间的差值. - -* 各个输入源的脏数据：flink_taskmanager_job_task_operator_dtDirtyData - 从kafka获取的数据解析失败的视为脏数据 - -* 各Source的数据输入TPS: flink_taskmanager_job_task_operator_dtNumRecordsInRate - kafka接受的记录数(未解析前)/s - -* 各Source的数据输入RPS: flink_taskmanager_job_task_operator_dtNumRecordsInResolveRate - kafka接受的记录数(解析后)/s - -* 各Source的数据输入BPS: flink_taskmanager_job_task_operator_dtNumBytesInRate - kafka接受的字节数/s - -* Kafka作为输入源的各个分区的延迟数: flink_taskmanager_job_task_operator_topic_partition_dtTopicPartitionLag - 当前kafka10,kafka11有采集该指标 - -* 各个输出源RPS: flink_taskmanager_job_task_operator_dtNumRecordsOutRate - 写入的外部记录数/s - - -## 4 样例 - -``` - -CREATE (scala|table|aggregate) FUNCTION CHARACTER_LENGTH WITH com.dtstack.Kun; - - -CREATE TABLE MyTable( - name varchar, - channel varchar, - pv int, - xctime bigint, - CHARACTER_LENGTH(channel) AS timeLeng //自定义的函数 - )WITH( - type ='kafka09', - bootstrapServers ='172.16.8.198:9092', - zookeeperQuorum ='172.16.8.198:2181/kafka', - offsetReset ='latest', - topic ='nbTest1', - parallelism ='1' - ); - -CREATE TABLE MyResult( - channel varchar, - pv varchar - )WITH( - type ='mysql', - url ='jdbc:mysql://172.16.8.104:3306/test?charset=utf8', - userName ='dtstack', - password ='abc123', - tableName ='pv2', - parallelism ='1' - ); - -CREATE TABLE workerinfo( - cast(logtime as TIMESTAMP) AS rtime, - cast(logtime) AS rtime - )WITH( - type ='hbase', - zookeeperQuorum ='rdos1:2181', - tableName ='workerinfo', - rowKey ='ce,de', - parallelism ='1', - zookeeperParent ='/hbase' - ); - -CREATE TABLE sideTable( - cf:name varchar as name, - cf:info varchar as info, - PRIMARY KEY(name), - PERIOD FOR SYSTEM_TIME //维表标识 - )WITH( - type ='hbase', - zookeeperQuorum ='rdos1:2181', - zookeeperParent ='/hbase', - tableName ='workerinfo', - cache ='LRU', - cacheSize ='10000', - cacheTTLMs ='60000', - parallelism ='1' - ); - -insert -into - MyResult - select - d.channel, - d.info - from - ( select - a.*,b.info - from - MyTable a - join - sideTable b - on a.channel=b.name - where - a.channel = 'xc2' - and a.pv=10 ) as d -``` +## License -# 招聘 -1.大数据平台开发工程师，想了解岗位详细信息可以添加本人微信号ysqwhiletrue,注明招聘，如有意者发送简历至sishu@dtstack.com。 - +FlinkStreamSQL is under the Apache 2.0 license. See the [LICENSE](http://www.apache.org/licenses/LICENSE-2.0) file for details. + + diff --git a/README.md.back b/README.md.back new file mode 100644 index 000000000..db25164b6 --- /dev/null +++ b/README.md.back @@ -0,0 +1,328 @@ +# flinkStreamSQL +> * 基于开源的flink，对其实时sql进行扩展 +> > * 自定义create table 语法（包括源表,输出表,维表） +> > * 自定义create view 语法 +> > * 自定义create function 语法 +> > * 实现了流与维表的join +> > * 支持原生FLinkSQL所有的语法 +> > * 扩展了输入和输出的性能指标到promethus + + ## 新特性: + * 1.kafka源表支持not null语法,支持字符串类型的时间转换。 + * 2.rdb维表与DB建立连接时，周期进行连接，防止连接断开。rdbsink写入时，对连接进行检查。 + * 3.异步维表支持非等值连接，比如：<>,<,>。 + * 4.增加kafka数组解析 + * 5.增加kafka1.0以上版本的支持 + * 6.增加postgresql、kudu、clickhouse维表、结果表的支持 + * 7.支持插件的依赖方式,参考pluginLoadMode参数 + * 8.支持cep处理 + * 9.支持udaf + * 10.支持谓词下移 + * 11.支持状态的ttl + + ## BUG修复： + * 1.修复不能解析sql中orderby,union语法。 + * 2.修复yarnPer模式提交失败的异常。 + * 3.一些bug的修复 + +# 已支持 + * 源表：kafka 0.9、0.10、0.11、1.x版本 + * 维表：mysql, SQlServer,oracle, hbase, mongo, redis, cassandra, serversocket, kudu, postgresql, clickhouse, impala, db2, sqlserver + * 结果表：mysql, SQlServer, oracle, hbase, elasticsearch5.x, mongo, redis, cassandra, console, kudu, postgresql, clickhouse, impala, db2, sqlserver + +# 后续开发计划 + * 维表快照 + * kafka avro格式 + * topN + +## 1 快速起步 +### 1.1 运行模式 + + +* 单机模式：对应Flink集群的单机模式 +* standalone模式：对应Flink集群的分布式模式 +* yarn模式：对应Flink集群的yarn模式 + +### 1.2 执行环境 + +* Java: JDK8及以上 +* Flink集群: 1.4,1.5,1.8（单机模式不需要安装Flink集群） +* 操作系统：理论上不限 +* kerberos环境需要在flink-conf.yaml配置security.kerberos.login.keytab以及security.kerberos.login.principal参数，配置案例: +``` +## hadoop配置文件路径 +fs.hdfs.hadoopconf: /Users/maqi/tmp/hadoopconf/hadoop_250 +security.kerberos.login.use-ticket-cache: true +security.kerberos.login.keytab: /Users/maqi/tmp/hadoopconf/hadoop_250/maqi.keytab +security.kerberos.login.principal: maqi@DTSTACK.COM +security.kerberos.login.contexts: Client,KafkaClient +zookeeper.sasl.service-name: zookeeper +zookeeper.sasl.login-context-name: Client + +``` + +### 1.3 打包 + +进入项目根目录，使用maven打包： + +``` +mvn clean package -Dmaven.test.skip + +``` + +打包完成后的包结构： + +> * dt-center-flinkStreamSQL +> > * bin: 任务启动脚本 +> > * lib: launcher包存储路径，是任务提交的入口 +> > * plugins: 插件包存储路径 +> > * ........ : core及插件代码 + +### 1.4 启动 + +#### 1.4.1 启动命令 + +``` +sh submit.sh -sql D:\sideSql.txt -name xctest -remoteSqlPluginPath /opt/dtstack/150_flinkplugin/sqlplugin -localSqlPluginPath D:\gitspace\flinkStreamSQL\plugins -addjar \["udf.jar\"\] -mode yarn -flinkconf D:\flink_home\kudu150etc -yarnconf D:\hadoop\etc\hadoopkudu -confProp \{\"time.characteristic\":\"EventTime\",\"sql.checkpoint.interval\":10000\} -yarnSessionConf \{\"yid\":\"application_1564971615273_38182\"} +``` + +#### 1.4.2 命令行参数选项 + +* **mode** + * 描述：执行模式，也就是flink集群的工作模式 + * local: 本地模式 + * standalone: 提交到独立部署模式的flink集群 + * yarn: 提交到yarn模式的flink集群(即提交到已有flink集群) + * yarnPer: yarn per_job模式提交(即创建新flink application) + * 必选：否 + * 默认值：local + +* **name** + * 描述：flink 任务对应名称。 + * 必选：是 + * 默认值：无 + +* **sql** + * 描述：执行flink sql 的主体语句。 + * 必选：是 + * 默认值：无 + +* **localSqlPluginPath** + * 描述：本地插件根目录地址，也就是打包后产生的plugins目录。 + * 必选：是 + * 默认值：无 + +* **remoteSqlPluginPath** + * 描述：flink执行集群上的插件根目录地址（将打包好的插件存放到各个flink节点上,如果是yarn集群需要存放到所有的nodemanager上）。 + * 必选：否 + * 默认值：无 + +* **addjar** + * 描述：扩展jar路径,当前主要是UDF定义的jar； + * 格式：json + * 必选：否 + * 默认值：无 + +* **confProp** + * 描述：一些参数设置 + * 格式: json + * 必选：是 （如无参数填写空json即可） + * 默认值：无 + * 可选参数: + * sql.ttl.min: 最小过期时间,大于0的整数,如1d、1h(d\D:天,h\H:小时,m\M:分钟,s\s:秒) + * sql.ttl.max: 最大过期时间,大于0的整数,如2d、2h(d\D:天,h\H:小时,m\M:分钟,s\s:秒),需同时设置最小时间,且比最小时间大5分钟 + * state.backend: 任务状态后端，可选为MEMORY,FILESYSTEM,ROCKSDB，默认为flinkconf中的配置。 + * state.checkpoints.dir: FILESYSTEM,ROCKSDB状态后端文件系统存储路径，例如：hdfs://ns1/dtInsight/flink180/checkpoints。 + * state.backend.incremental: ROCKSDB状态后端是否开启增量checkpoint,默认为true。 + * sql.env.parallelism: 默认并行度设置 + * sql.max.env.parallelism: 最大并行度设置 + * time.characteristic: 可选值[ProcessingTime|IngestionTime|EventTime] + * sql.checkpoint.interval: 设置了该参数表明开启checkpoint(ms) + * sql.checkpoint.mode: 可选值[EXACTLY_ONCE|AT_LEAST_ONCE] + * sql.checkpoint.timeout: 生成checkpoint的超时时间(ms) + * sql.max.concurrent.checkpoints: 最大并发生成checkpoint数 + * sql.checkpoint.cleanup.mode: 默认是不会将checkpoint存储到外部存储,[true(任务cancel之后会删除外部存储)|false(外部存储需要手动删除)] + * flinkCheckpointDataURI: 设置checkpoint的外部存储路径,根据实际的需求设定文件路径,hdfs://, file:// + * jobmanager.memory.mb: per_job模式下指定jobmanager的内存大小(单位MB, 默认值:768) + * taskmanager.memory.mb: per_job模式下指定taskmanager的内存大小(单位MB, 默认值:768) + * taskmanager.num: per_job模式下指定taskmanager的实例数(默认1) + * taskmanager.slots：per_job模式下指定每个taskmanager对应的slot数量(默认1) + * savePointPath：任务恢复点的路径（默认无） + * allowNonRestoredState：指示保存点是否允许非还原状态的标志（默认false） + * logLevel: 日志级别动态配置（默认info） + * [prometheus 相关参数](docs/prometheus.md) per_job可指定metric写入到外部监控组件,以prometheus pushgateway举例 + + +* **flinkconf** + * 描述：flink配置文件所在的目录（单机模式下不需要），如/hadoop/flink-1.4.0/conf + * 必选：否 + * 默认值：无 + +* **yarnconf** + * 描述：Hadoop配置文件（包括hdfs和yarn）所在的目录（单机模式下不需要），如/hadoop/etc/hadoop + * 必选：否 + * 默认值：无 + +* **flinkJarPath** + * 描述：per_job 模式提交需要指定本地的flink jar存放路径 + * 必选：否 + * 默认值：false + +* **queue** + * 描述：per_job 模式下指定的yarn queue + * 必选：否 + * 默认值：false + +* **pluginLoadMode** + * 描述：per_job 模式下的插件包加载方式。classpath:从每台机器加载插件包，shipfile:将需要插件从提交的节点上传到hdfs,不需要每台安装插件 + * 必选：否 + * 默认值：classpath + +* **yarnSessionConf** + * 描述：yarn session 模式下指定的运行的一些参数，[可参考](https://ci.apache.org/projects/flink/flink-docs-release-1.8/ops/cli.html),目前只支持指定yid + * 必选：否 + * 默认值：false + + +## 2 结构 +### 2.1 源表插件 +* [kafka 源表插件](docs/kafkaSource.md) + +### 2.2 结果表插件 +* [elasticsearch 结果表插件](docs/elasticsearchSink.md) +* [hbase 结果表插件](docs/hbaseSink.md) +* [mysql 结果表插件](docs/mysqlSink.md) +* [oracle 结果表插件](docs/oracleSink.md) +* [mongo 结果表插件](docs/mongoSink.md) +* [redis 结果表插件](docs/redisSink.md) +* [cassandra 结果表插件](docs/cassandraSink.md) +* [kudu 结果表插件](docs/kuduSink.md) +* [postgresql 结果表插件](docs/postgresqlSink.md) +* [clickhouse 结果表插件](docs/clickhouseSink.md) +* [impala 结果表插件](docs/impalaSink.md) +* [db2 结果表插件](docs/db2Sink.md) +* [sqlserver 结果表插件](docs/sqlserverSink.md) + +### 2.3 维表插件 +* [hbase 维表插件](docs/hbaseSide.md) +* [mysql 维表插件](docs/mysqlSide.md) +* [oracle 维表插件](docs/oracleSide.md) +* [mongo 维表插件](docs/mongoSide.md) +* [redis 维表插件](docs/redisSide.md) +* [cassandra 维表插件](docs/cassandraSide.md) +* [kudu 维表插件](docs/kuduSide.md) +* [postgresql 维表插件](docs/postgresqlSide.md) +* [clickhouse 维表插件](docs/clickhouseSide.md) +* [impala 维表插件](docs/impalaSide.md) +* [db2 维表插件](docs/db2Side.md) +* [sqlserver 维表插件](docs/sqlserverSide.md) + +## 3 性能指标(新增) + +### kafka插件 +* 业务延迟： flink_taskmanager_job_task_operator_dtEventDelay(单位s) + 数据本身的时间和进入flink的当前时间的差值. + +* 各个输入源的脏数据：flink_taskmanager_job_task_operator_dtDirtyData + 从kafka获取的数据解析失败的视为脏数据 + +* 各Source的数据输入TPS: flink_taskmanager_job_task_operator_dtNumRecordsInRate + kafka接受的记录数(未解析前)/s + +* 各Source的数据输入RPS: flink_taskmanager_job_task_operator_dtNumRecordsInResolveRate + kafka接受的记录数(解析后)/s + +* 各Source的数据输入BPS: flink_taskmanager_job_task_operator_dtNumBytesInRate + kafka接受的字节数/s + +* Kafka作为输入源的各个分区的延迟数: flink_taskmanager_job_task_operator_topic_partition_dtTopicPartitionLag + 当前kafka10,kafka11有采集该指标 + +* 各个输出源RPS: flink_taskmanager_job_task_operator_dtNumRecordsOutRate + 写入的外部记录数/s + + +## 4 样例 + +``` + +CREATE (scala|table|aggregate) FUNCTION CHARACTER_LENGTH WITH com.dtstack.Kun; + + +CREATE TABLE MyTable( + name varchar, + channel varchar, + pv int, + xctime bigint, + CHARACTER_LENGTH(channel) AS timeLeng //自定义的函数 + )WITH( + type ='kafka09', + bootstrapServers ='172.16.8.198:9092', + zookeeperQuorum ='172.16.8.198:2181/kafka', + offsetReset ='latest', + topic ='nbTest1', + parallelism ='1' + ); + +CREATE TABLE MyResult( + channel varchar, + pv varchar + )WITH( + type ='mysql', + url ='jdbc:mysql://172.16.8.104:3306/test?charset=utf8', + userName ='dtstack', + password ='abc123', + tableName ='pv2', + parallelism ='1' + ); + +CREATE TABLE workerinfo( + cast(logtime as TIMESTAMP) AS rtime, + cast(logtime) AS rtime + )WITH( + type ='hbase', + zookeeperQuorum ='rdos1:2181', + tableName ='workerinfo', + rowKey ='ce,de', + parallelism ='1', + zookeeperParent ='/hbase' + ); + +CREATE TABLE sideTable( + cf:name varchar as name, + cf:info varchar as info, + PRIMARY KEY(name), + PERIOD FOR SYSTEM_TIME //维表标识 + )WITH( + type ='hbase', + zookeeperQuorum ='rdos1:2181', + zookeeperParent ='/hbase', + tableName ='workerinfo', + cache ='LRU', + cacheSize ='10000', + cacheTTLMs ='60000', + parallelism ='1' + ); + +insert +into + MyResult + select + d.channel, + d.info + from + ( select + a.*,b.info + from + MyTable a + join + sideTable b + on a.channel=b.name + where + a.channel = 'xc2' + and a.pv=10 ) as d +``` + +# 招聘 +1.大数据平台开发工程师，想了解岗位详细信息可以添加本人微信号ysqwhiletrue,注明招聘，如有意者发送简历至sishu@dtstack.com。 + diff --git a/docs/config.md b/docs/config.md new file mode 100644 index 000000000..48aeefc5a --- /dev/null +++ b/docs/config.md @@ -0,0 +1,105 @@ +### 命令行参数选项 + +``` +sh submit.sh -key1 val1 -key2 val2 +``` +其中key的可选参数描述如下 + +* **mode** + * 描述：执行模式，也就是flink集群的工作模式 + * local: 本地模式 + * standalone: 提交到独立部署模式的flink集群 + * yarn: 提交到yarn模式的flink集群(即提交到已有flink集群) + * yarnPer: yarn per_job模式提交(即创建新flink application) + * 必选：否 + * 默认值：local + +* **pluginLoadMode** + * 描述：yarnPer 模式下的插件包加载方式。 + * classpath: 从节点机器加载指定remoteSqlPluginPath路径插件包,需要预先在每个运行节点下存放一份插件包。 + * shipfile: 将localSqlPluginPath路径下的插件从本地上传到hdfs,不需要集群的每台机器存放一份插件包。 + * 必选：否 + * 默认值：classpath + + +* **name** + * 描述：flink 任务对应名称。 + * 必选：是 + * 默认值：无 + +* **sql** + * 描述：执行flink sql 的主体语句。 + * 必选：是 + * 默认值：无 + +* **localSqlPluginPath** + * 描述：本地插件根目录地址，也就是打包后产生的plugins目录。 + * 必选：是 + * 默认值：无 + +* **remoteSqlPluginPath** + * 描述：flink执行集群上的插件根目录地址（将打包好的插件存放到各个flink节点上,如果是yarn集群需要存放到所有的nodemanager上）。 + * 必选：否 + * 默认值：无 + +* **addjar** + * 描述：扩展jar路径,当前主要是UDF定义的jar； + * 格式：json + * 必选：否 + * 默认值：无 + +* **confProp** + * 描述：一些参数设置 + * 格式: json + * 必选：是 （如无参数填写空json即可） + * 默认值：无 + * 可选参数: + * sql.ttl.min: 最小过期时间,大于0的整数,如1d、1h(d\D:天,h\H:小时,m\M:分钟,s\s:秒) + * sql.ttl.max: 最大过期时间,大于0的整数,如2d、2h(d\D:天,h\H:小时,m\M:分钟,s\s:秒),需同时设置最小时间,且比最小时间大5分钟 + * state.backend: 任务状态后端，可选为MEMORY,FILESYSTEM,ROCKSDB，默认为flinkconf中的配置。 + * state.checkpoints.dir: FILESYSTEM,ROCKSDB状态后端文件系统存储路径，例如：hdfs://ns1/dtInsight/flink180/checkpoints。 + * state.backend.incremental: ROCKSDB状态后端是否开启增量checkpoint,默认为true。 + * sql.env.parallelism: 默认并行度设置 + * sql.max.env.parallelism: 最大并行度设置 + * time.characteristic: 可选值[ProcessingTime|IngestionTime|EventTime] + * sql.checkpoint.interval: 设置了该参数表明开启checkpoint(ms) + * sql.checkpoint.mode: 可选值[EXACTLY_ONCE|AT_LEAST_ONCE] + * sql.checkpoint.timeout: 生成checkpoint的超时时间(ms) + * sql.max.concurrent.checkpoints: 最大并发生成checkpoint数 + * sql.checkpoint.cleanup.mode: 默认是不会将checkpoint存储到外部存储,[true(任务cancel之后会删除外部存储)|false(外部存储需要手动删除)] + * flinkCheckpointDataURI: 设置checkpoint的外部存储路径,根据实际的需求设定文件路径,hdfs://, file:// + * jobmanager.memory.mb: per_job模式下指定jobmanager的内存大小(单位MB, 默认值:768) + * taskmanager.memory.mb: per_job模式下指定taskmanager的内存大小(单位MB, 默认值:768) + * taskmanager.num: per_job模式下指定taskmanager的实例数(默认1) + * taskmanager.slots：per_job模式下指定每个taskmanager对应的slot数量(默认1) + * savePointPath：任务恢复点的路径（默认无） + * allowNonRestoredState：指示保存点是否允许非还原状态的标志（默认false） + * logLevel: 日志级别动态配置（默认info） + * [prometheus 相关参数](docs/prometheus.md) per_job可指定metric写入到外部监控组件,以prometheus pushgateway举例 + + +* **flinkconf** + * 描述：flink配置文件所在的目录（单机模式下不需要），如/hadoop/flink-1.4.0/conf + * 必选：否 + * 默认值：无 + +* **yarnconf** + * 描述：Hadoop配置文件（包括hdfs和yarn）所在的目录（单机模式下不需要），如/hadoop/etc/hadoop + * 必选：否 + * 默认值：无 + +* **flinkJarPath** + * 描述：yarnPer 模式提交需要指定本地的flink jar存放路径 + * 必选：否 + * 默认值：false + +* **queue** + * 描述：yarnPer 模式下指定的yarn queue + * 必选：否 + * 默认值：false + +* **yarnSessionConf** + * 描述：yarn session 模式下指定的运行的一些参数，[可参考](https://ci.apache.org/projects/flink/flink-docs-release-1.8/ops/cli.html),目前只支持指定yid + * 必选：否 + * 默认值：false + \ No newline at end of file diff --git a/docs/demo.md b/docs/demo.md new file mode 100644 index 000000000..fe4b5c720 --- /dev/null +++ b/docs/demo.md @@ -0,0 +1,85 @@ +### 样例1: +注册自定义函数，并指定某一列作为eventTime; +kafkaSource join hbaseDim ==> hbaseOut + +``` +CREATE scala FUNCTION CHARACTER_LENGTH WITH com.dtstack.Kun; + +CREATE TABLE MyTable( + name varchar, + channel varchar, + pv int, + xctime bigint, + CHARACTER_LENGTH(channel) AS timeLeng //自定义的函数 + )WITH( + type ='kafka09', + bootstrapServers ='172.16.8.198:9092', + zookeeperQuorum ='172.16.8.198:2181/kafka', + offsetReset ='latest', + topic ='nbTest1', + parallelism ='1' + ); + +CREATE TABLE MyResult( + channel varchar, + pv varchar + )WITH( + type ='mysql', + url ='jdbc:mysql://172.16.8.104:3306/test?charset=utf8', + userName ='dtstack', + password ='abc123', + tableName ='pv2', + parallelism ='1' + ); + +CREATE TABLE workerinfo( + cast(logtime as TIMESTAMP) AS rtime, + cast(logtime) AS rtime + )WITH( + type ='hbase', + zookeeperQuorum ='rdos1:2181', + tableName ='workerinfo', + rowKey ='ce,de', + parallelism ='1', + zookeeperParent ='/hbase' + ); + +CREATE TABLE sideTable( + cf:name varchar as name, + cf:info varchar as info, + PRIMARY KEY(name), + PERIOD FOR SYSTEM_TIME //维表标识 + )WITH( + type ='hbase', + zookeeperQuorum ='rdos1:2181', + zookeeperParent ='/hbase', + tableName ='workerinfo', + cache ='LRU', + cacheSize ='10000', + cacheTTLMs ='60000', + parallelism ='1' + ); + +insert +into + MyResult + select + d.channel, + d.info + from + ( select + a.*,b.info + from + MyTable a + join + sideTable b + on a.channel=b.name + where + a.channel = 'xc2' + and a.pv=10 ) as d +``` + +### 创建视图demo: + +``` +``` diff --git a/docs/images/streamsql_dd.jpg b/docs/images/streamsql_dd.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4a32461c10c6a5256af92e7655010d9d8a03077e GIT binary patch literal 199826 zcmeFZc|27A|2TSN-=eaMQIws^T4Yk$5>laTQ%UwFBxITqA$tfRrcy~+vt`MUt(CH7 zA46ozOfn8LbLPH!|L%9Wzx%uQ{_gK_??1oa=Zte4&Uu~JbKhRiGwkndG9-G!+{zr{ 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