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Apache Griffin
Griffin User Guide: https://griffin.apache.org/docs/quickstart-cn.html.
Griffin deploy Doc: https://github.com/apache/griffin/blob/master/griffin-doc/ui/user-guide.md.
在一秒钟内看到本质的人和花半辈子也看不清一件事本质的人，自然是不一样的命运。
1.Introduction
Document: https://griffin.apache.org/docs/quickstart-cn.html.
在Griffin的架构中，主要分为Define、Measure和Analyze三个部分
Define：主要负责定义数据质量统计的维度，比如数据质量统计的时间跨度、统计的目标（源端和目标端的数据数量是否一致，数据源里某一字段的非空的数量、不重复值的数量、最大值、最小值、top5的值数量等）Measure：主要负责执行统计任务，生成统计结果Analyze：主要负责保存与展示统计结果
1.1 特性
- 度量：精确度、完整性、及时性、唯一性、有效性、一致性。
- 异常监测：利用预先设定的规则，检测出不符合预期的数据，提供不符合规则数据的下载。
- 异常告警：通过邮件或门户报告数据质量问题。
- 可视化监测：利用控制面板来展现数据质量的状态。
- 实时性：可以实时进行数据质量检测，能够及时发现问题。
- 可扩展性：可用于多个数据系统仓库的数据校验。
- 可伸缩性：工作在大数据量的环境中，目前运行的数据量约1.2PB(eBay环境)。
- 自助服务：Griffin提供了一个简洁易用的用户界面，可以管理数据资产和数据质量规则；同时用户可以通过控制面板查看数据质量结果和自定义显示内容。
1.2 数据质量指标说明
- 精确度：度量数据是否与指定的目标值匹配，如金额的校验，校验成功的记录与总记录数的比值。
- 完整性：度量数据是否缺失，包括记录数缺失、字段缺失，属性缺失。
- 及时性：度量数据达到指定目标的时效性。
- 唯一性：度量数据记录是否重复，属性是否重复；常见为度量为hive表主键值是否重复。
- 有效性：度量数据是否符合约定的类型、格式和数据范围等规则。
- 一致性：度量数据是否符合业务逻辑，针对记录间的逻辑的校验，如：pv一定是大于uv的，订单金额加上各种优惠之后的价格一定是大于等于0的。
2.Install
2.1 Create Directory
mkdir /home/xxxx/software
mkdir /home/xxxx/software/data
sudo ln -s /home/xxxx/software /apache
sudo ln -s /apache/data /data
mkdir /apache/tmp
mkdir /apache/tmp/hive2.2 Install Openjdk
- Openjdk Website: https://jdk.java.net/java-se-ri/8-MR3.
- 下载并上传到software
tar -zxvf openjdk-8u41-b04-linux-x64-14_jul_2022.tar.gz
mv openjdk-8xxxx open_jdk - 修改配置文件
sudo vim /etc/profile
export JAVA_HOME=/home/xxxx/software/open_jdk export PATH=$PATH:$JAVA_HOME/bin- 1
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- 保存配置，查看版本
source /etc/profile
java -version
2.3 Install Mysql
Mysql — linux install: https://blog.csdn.net/weixin_43916074/article/details/125284109.
2.4 Install npm
sudo yum install nodejs
sudo yum install npm
node -v
npm -v2.5 Install Hadoop
- Hadoop Website: https://hadoop.apache.org/releases.html.
- 下载并上传到software
tar -zxvf hadoop-2.10.2.tar.gz
sudo mv hadoop-2.10.2 hadoop - 修改配置
sudo vim /etc/profile
export HADOOP_HOME=/home/xxx/software/hadoop export HADOOP_COMMON_HOME=/home/xxx/software/hadoop export HADOOP_COMMON_LIB_NATIVE_DIR=/home/xxx/software/hadoop/lib/native export HADOOP_HDFS_HOME=/home/xxx/software/hadoop export HADOOP_INSTALL=/home/xxx/software/hadoop export HADOOP_MAPRED_HOME=/home/xxx/software/hadoop export HADOOP_USER_CLASSPATH_FIRST=true export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop export PATH=$PATH:$HADOOP_HOME/bin- 1
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- 保存配置，查看版本
source /etc/profile
hadoop version
2.6 Install Hive
- 版本对应
Hive Website: https://hive.apache.org/.
- 下载上传到softeare
tar -xzvf apache-hive-2.3.9-bin.tar.gz
sudo mv apache-hive-2.3.9-bin hive - 修改配置
sudo vim /etc/profile
export HIVE_HOME=/home/xxx/software/hive export PATH=$PATH:$HIVE_HOME/bin- 1
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- 保存配置，查看版本
source /etc/profile
hive --version
2.7 Install Scala
- Scala Website: https://www.scala-lang.org/download/2.13.8.html.
Download: https://downloads.lightbend.com/scala/2.13.8/scala-2.13.8.tgz.
- 下载并上传到software
tar -zxvf scala-2.13.8.tgz
sudo mv scala-2.13.8 scala - 修改配置
sudo vim /etc/profile
export SCALA_HOME=/home/xxxx/software/scala export CLASSPATH=$SCALA_HOME/lib/ export PATH=$PATH:$SCALA_HOME/bin- 1
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- 保存配置，查看版本
source /etc/profile
scala -version
2.8 Install Spark
- Spark Website: https://spark.apache.org/downloads.html.
- Spark Download: https://mirrors.huaweicloud.com/apache/spark/.
- 下载并上传到software
tar -zxvf spark-2.2.1-bin-without-hadoop.tgz
sudo mv spark-2.2.1-bin-without-hadoop spark - 修改配置
sudo vim /etc/profile
export SPARK_HOME=/home/xxx/software/spark export PATH=$PATH:$SPARK_HOME/bin- 1
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- 保存配置，查看版本
source /etc/profile
2.9 Install Elasticsearch
- ES Website: https://www.elastic.co/cn/downloads/elasticsearch.
- 下载并上传到software
unzip elasticsearch-5.6.16.zip
mv elasticsearch-5.6.16 elastic - 修改配置,加入下面的内容
vi /elastic/config/elasticsearch.yml
network.host: 127.0.0.1 http.cors.enabled: true http.cors.allow-origin: '\*'- 1
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- 启动
vi ~/software/elastic/bin
./elasticsearch
- 另起窗口访问自己
curl 127.0.0.1:9200
2.10 Install Livy
- Livy Download: http://mirrors.cloud.tencent.com/apache/incubator/livy/0.7.1-incubating/.
- 下载并上传到software
unzip apache-livy-0.7.1-incubating-bin.zip
mv apache-livy-0.7.1-incubating-bin livy - 修改配置
sudo vim /etc/profile
export LIVY_HOME=/home/os-nan.zhao/software/livy export PATH=$PATH:$LIVY_HOME/bin- 1
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- 保存配置，查看版本
source /etc/profile
官方是一口气就全都配好了
3.User Guide
User Guide: https://github.com/apache/griffin/blob/master/griffin-doc/deploy/deploy-guide.md.
3.1 config
Mysql
- 修改密码
ALTER USER ‘root’@‘localhost’ IDENTIFIED BY ‘DataGov@123’; - 登录，创建DB
create database quartz - 写入数据，要先exit
mysql -u root -p quartz < Init_quartz_mysql_innodb.sql
-- 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. -- In your Quartz properties file, you'll need to set -- org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.PostgreSQLDelegate DROP TABLE IF EXISTS qrtz_fired_triggers; DROP TABLE IF EXISTS qrtz_paused_trigger_grps; DROP TABLE IF EXISTS qrtz_scheduler_state; DROP TABLE IF EXISTS qrtz_locks; DROP TABLE IF EXISTS qrtz_simple_triggers; DROP TABLE IF EXISTS qrtz_cron_triggers; DROP TABLE IF EXISTS qrtz_simprop_triggers; DROP TABLE IF EXISTS qrtz_blob_triggers; DROP TABLE IF EXISTS qrtz_triggers; DROP TABLE IF EXISTS qrtz_job_details; DROP TABLE IF EXISTS qrtz_calendars; CREATE TABLE qrtz_job_details ( SCHED_NAME VARCHAR(120) NOT NULL, JOB_NAME VARCHAR(200) NOT NULL, JOB_GROUP VARCHAR(200) NOT NULL, DESCRIPTION VARCHAR(250) NULL, JOB_CLASS_NAME VARCHAR(250) NOT NULL, IS_DURABLE BOOL NOT NULL, IS_NONCONCURRENT BOOL NOT NULL, IS_UPDATE_DATA BOOL NOT NULL, REQUESTS_RECOVERY BOOL NOT NULL, JOB_DATA BYTEA NULL, PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) ); CREATE TABLE qrtz_triggers ( SCHED_NAME VARCHAR(120) NOT NULL, TRIGGER_NAME VARCHAR(200) NOT NULL, TRIGGER_GROUP VARCHAR(200) NOT NULL, JOB_NAME VARCHAR(200) NOT NULL, JOB_GROUP VARCHAR(200) NOT NULL, DESCRIPTION VARCHAR(250) NULL, NEXT_FIRE_TIME BIGINT NULL, PREV_FIRE_TIME BIGINT NULL, PRIORITY INTEGER NULL, TRIGGER_STATE VARCHAR(16) NOT NULL, TRIGGER_TYPE VARCHAR(8) NOT NULL, START_TIME BIGINT NOT NULL, END_TIME BIGINT NULL, CALENDAR_NAME VARCHAR(200) NULL, MISFIRE_INSTR SMALLINT NULL, JOB_DATA BYTEA NULL, PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP) REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP) ); CREATE TABLE qrtz_simple_triggers ( SCHED_NAME VARCHAR(120) NOT NULL, TRIGGER_NAME VARCHAR(200) NOT NULL, TRIGGER_GROUP VARCHAR(200) NOT NULL, REPEAT_COUNT BIGINT NOT NULL, REPEAT_INTERVAL BIGINT NOT NULL, TIMES_TRIGGERED BIGINT NOT NULL, PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) ); CREATE TABLE qrtz_cron_triggers ( SCHED_NAME VARCHAR(120) NOT NULL, TRIGGER_NAME VARCHAR(200) NOT NULL, TRIGGER_GROUP VARCHAR(200) NOT NULL, CRON_EXPRESSION VARCHAR(120) NOT NULL, TIME_ZONE_ID VARCHAR(80), PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) ); CREATE TABLE qrtz_simprop_triggers ( SCHED_NAME VARCHAR(120) NOT NULL, TRIGGER_NAME VARCHAR(200) NOT NULL, TRIGGER_GROUP VARCHAR(200) NOT NULL, STR_PROP_1 VARCHAR(512) NULL, STR_PROP_2 VARCHAR(512) NULL, STR_PROP_3 VARCHAR(512) NULL, INT_PROP_1 INT NULL, INT_PROP_2 INT NULL, LONG_PROP_1 BIGINT NULL, LONG_PROP_2 BIGINT NULL, DEC_PROP_1 NUMERIC(13,4) NULL, DEC_PROP_2 NUMERIC(13,4) NULL, BOOL_PROP_1 BOOL NULL, BOOL_PROP_2 BOOL NULL, PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) ); CREATE TABLE qrtz_blob_triggers ( SCHED_NAME VARCHAR(120) NOT NULL, TRIGGER_NAME VARCHAR(200) NOT NULL, TRIGGER_GROUP VARCHAR(200) NOT NULL, BLOB_DATA BYTEA NULL, PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP), FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP) ); CREATE TABLE qrtz_calendars ( SCHED_NAME VARCHAR(120) NOT NULL, CALENDAR_NAME VARCHAR(200) NOT NULL, CALENDAR BYTEA NOT NULL, PRIMARY KEY (SCHED_NAME,CALENDAR_NAME) ); CREATE TABLE qrtz_paused_trigger_grps ( SCHED_NAME VARCHAR(120) NOT NULL, TRIGGER_GROUP VARCHAR(200) NOT NULL, PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP) ); CREATE TABLE qrtz_fired_triggers ( SCHED_NAME VARCHAR(120) NOT NULL, ENTRY_ID VARCHAR(95) NOT NULL, TRIGGER_NAME VARCHAR(200) NOT NULL, TRIGGER_GROUP VARCHAR(200) NOT NULL, INSTANCE_NAME VARCHAR(200) NOT NULL, FIRED_TIME BIGINT NOT NULL, SCHED_TIME BIGINT NOT NULL, PRIORITY INTEGER NOT NULL, STATE VARCHAR(16) NOT NULL, JOB_NAME VARCHAR(200) NULL, JOB_GROUP VARCHAR(200) NULL, IS_NONCONCURRENT BOOL NULL, REQUESTS_RECOVERY BOOL NULL, PRIMARY KEY (SCHED_NAME,ENTRY_ID) ); CREATE TABLE qrtz_scheduler_state ( SCHED_NAME VARCHAR(120) NOT NULL, INSTANCE_NAME VARCHAR(200) NOT NULL, LAST_CHECKIN_TIME BIGINT NOT NULL, CHECKIN_INTERVAL BIGINT NOT NULL, PRIMARY KEY (SCHED_NAME,INSTANCE_NAME) ); CREATE TABLE qrtz_locks ( SCHED_NAME VARCHAR(120) NOT NULL, LOCK_NAME VARCHAR(40) NOT NULL, PRIMARY KEY (SCHED_NAME,LOCK_NAME) ); create index idx_qrtz_j_req_recovery on qrtz_job_details(SCHED_NAME,REQUESTS_RECOVERY); create index idx_qrtz_j_grp on qrtz_job_details(SCHED_NAME,JOB_GROUP); create index idx_qrtz_t_j on qrtz_triggers(SCHED_NAME,JOB_NAME,JOB_GROUP); create index idx_qrtz_t_jg on qrtz_triggers(SCHED_NAME,JOB_GROUP); create index idx_qrtz_t_c on qrtz_triggers(SCHED_NAME,CALENDAR_NAME); create index idx_qrtz_t_g on qrtz_triggers(SCHED_NAME,TRIGGER_GROUP); create index idx_qrtz_t_state on qrtz_triggers(SCHED_NAME,TRIGGER_STATE); create index idx_qrtz_t_n_state on qrtz_triggers(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE); create index idx_qrtz_t_n_g_state on qrtz_triggers(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE); create index idx_qrtz_t_next_fire_time on qrtz_triggers(SCHED_NAME,NEXT_FIRE_TIME); create index idx_qrtz_t_nft_st on qrtz_triggers(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME); create index idx_qrtz_t_nft_misfire on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME); create index idx_qrtz_t_nft_st_misfire on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE); create index idx_qrtz_t_nft_st_misfire_grp on qrtz_triggers(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE); create index idx_qrtz_ft_trig_inst_name on qrtz_fired_triggers(SCHED_NAME,INSTANCE_NAME); create index idx_qrtz_ft_inst_job_req_rcvry on qrtz_fired_triggers(SCHED_NAME,INSTANCE_NAME,REQUESTS_RECOVERY); create index idx_qrtz_ft_j_g on qrtz_fired_triggers(SCHED_NAME,JOB_NAME,JOB_GROUP); create index idx_qrtz_ft_jg on qrtz_fired_triggers(SCHED_NAME,JOB_GROUP); create index idx_qrtz_ft_t_g on qrtz_fired_triggers(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP); create index idx_qrtz_ft_tg on qrtz_fired_triggers(SCHED_NAME,TRIGGER_GROUP); commit;- 1
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Hadoop
- 进到安装目录，修改core-site.xml
cd /home/xxxx/software/hadoop/etc/hadoop
- 添加配置
/apache/hadoop/bin/hdfs namenode -format
/apache/hadoop/sbin/start-dfs.sh
/apache/hadoop/sbin/stop-dfs.sh
/apache/hadoop/bin/hdfs namenode -format
Hive
- Copy hive/conf/hive-site.xml.template to hive/conf/hive-site.xml
配置如下 - 启动
/apache/hive/bin/hive --service metastore
<configuration> <property> <name>hive.exec.local.scratchdir</name> <value>/apache/tmp/hive</value> <description>Local scratch space for Hive jobs</description> </property> <property> <name>hive.downloaded.resources.dir</name> <value>/apache/tmp/hive/${hive.session.id}_resources</value> <description>Temporary local directory for added resources in the remote file system.</description> </property> <property> </property> <property> <name>hive.metastore.uris</name> <value>thrift://127.0.0.1:9083</value> <description>Thrift URI for the remote metastore.</description> </property> <property> </property> <property> <name>javax.jdo.option.ConnectionPassword</name> <value>secret</value> <description>password to use against metastore database</description> </property> <property> </property> <property> <name>javax.jdo.option.ConnectionURL</name> <value>jdbc:mysql://127.0.0.1/quartz?ssl=false</value> <description> JDBC connect string for a JDBC metastore. To use SSL to encrypt/authenticate the connection, provide database-specific SSL flag in the connection URL. </description> </property> <property> <name>javax.jdo.option.ConnectionDriverName</name> <value>org.mysql.Driver</value> <description>Driver class name for a JDBC metastore</description> </property> <property> </property> <property> <name>javax.jdo.option.ConnectionUserName</name> <value>king</value> <description>Username to use against metastore database</description> </property> <property> </property> <property> <name>hive.querylog.location</name> <value>/apache/tmp/hive</value> <description>Location of Hive run time structured log file</description> </property> <property> </property> <property> <name>hive.server2.logging.operation.log.location</name> <value>/apache/tmp/hive/operation_logs</value> </property> </configuration>- 1
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Spark
- 复制conf
cp spark-default.conf.template spark-default.conf
cp spark-env.sh.template spark-env.sh - 修改配置
- 启动
cp /apache/hive/conf/hive-site.xml /apache/spark/conf/ - start master and slave nodes
/apache/spark/sbin/start-master.sh
/apache/spark/sbin/start-slave.sh spark://localhost:7077 - stop master and slave nodes
/apache/spark/sbin/stop-slaves.sh
/apache/spark/sbin/stop-master.sh
/apache/spark/sbin/stop-all.sh
spark-default.conf spark.master yarn-cluster spark.serializer org.apache.spark.serializer.KryoSerializer spark.yarn.jars hdfs:///home/spark_lib/* spark.yarn.dist.files hdfs:///home/spark_conf/hive-site.xml spark.sql.broadcastTimeout 500 ==================================== spark-env.sh HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop SPARK_MASTER_HOST=localhost SPARK_MASTER_PORT=7077 SPARK_MASTER_WEBUI_PORT=8082 SPARK_LOCAL_IP=localhost SPARK_PID_DIR=/apache/pids- 1
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livy
- 进到安装目录，复制conf
cp livy.conf.template livy.template - 添加配置
livy.server.host = 127.0.0.1
livy.spark.master = yarn
livy.spark.deployMode = cluster
livy.repl.enableHiveContext = true
livy.server.port 8998 - 启动
livy-server start
4.Docker install
上面的步骤进行的还顺利吗。我信你个鬼。反正我是没成功。有docker干嘛不用
linux instlal docker: https://blog.csdn.net/weixin_43916074/article/details/125265520.- 安装docker，docker compose
请看上面的链接 - 干就完了
sysctl -w vm.max_map_count=262144 - install
docker pull apachegriffin/griffin_spark2:0.3.0
docker pull apachegriffin/elasticsearch
docker pull apachegriffin/kafka
docker pull zookeeper:3.5 - install
docker pull registry.docker-cn.com/apachegriffin/griffin_spark2:0.3.0
docker pull registry.docker-cn.com/apachegriffin/elasticsearch
docker pull registry.docker-cn.com/apachegriffin/kafka
docker pull zookeeper:3.5 - 配置文件docker-compose-batch.yml
#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. griffin: image: apachegriffin/griffin_spark2:0.3.0 hostname: griffin links: - es environment: ES_HOSTNAME: es volumes: - /var/lib/mysql ports: - 32122:2122 - 38088:8088 # yarn rm web ui - 33306:3306 # mysql - 35432:5432 # postgres - 38042:8042 # yarn nm web ui - 39083:9083 # hive-metastore - 38998:8998 # livy - 38080:8080 # griffin ui tty: true container_name: griffin es: image: apachegriffin/elasticsearch hostname: es ports: - 39200:9200 - 39300:9300 container_name: es- 1
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- 进入配置文件目录，启动
docker-compose -f docker-compose-batch.yml up -d - 人生苦短，我用docker
4.Error
5.GodFather
我是个迷信的人,若是他不幸发生意外,或被警察开枪打死,或在牢里上吊,或是他被闪电击中,那我会怪罪这个房间里的每一个人,到那时候我就不会再客气了…
Open Source Data Quality Tool
DataSphereStudio Website: https://github.com/WeBankFinTech/DataSphereStudio/blob/master/README-ZH.md.
DataSphereStudio Website: https://github.com/WeBankFinTech/DataSphereStudio-Doc/blob/main/zh_CN/install.md.
-
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- 原文地址：https://blog.csdn.net/weixin_43916074/article/details/126482222
