Phoenix是一个在hbase上面实现的基于hadoop的OLTP技术，具有低延迟、事务性、可使用sql、提供jdbc接口的特点。 而且phoenix还提供了hbase二级索引的解决方案，丰富了hbase查询的多样性，继承了hbase海量数据快速随机查询的特点。但是在生产环境中，不可以用在OLTP中。在线事务处理的环境中，需要低延迟，而Phoenix在查询HBase时，虽然做了一些优化，但延迟还是不小。所以依然是用在OLAT中，再将结果返回存储下来。
Phoenix完全使用Java编写，作为HBase内嵌的JDBC驱动。Phoenix查询引擎会将SQL查询转换为一个或多个HBase扫描，并编排执行以生成标准的JDBC结果集。直接使用HBase API、协同处理器与自定义过滤器，对于简单查询来说，其性能量级是毫秒，对于百万级别的行数来说，其性能量级是秒。
由于资源问题，这里我们部署单节点测试环境。
Hbase整合Phoenix
下载Phoenix，这里使用5.0.0-HBase-2.0版本。download
下载Hbase，经测试2.2.0不兼容新版的Phoenix，这里我们使用2.1.5版本。download
1、 解压hbase、phoenix的tar包
[admin@mvxl2429 yst]$ tar -xf hbase-2.1.5-bin.tar.gz
[admin@mvxl2429 yst]$ tar -xf apache-phoenix-5.0.0-HBase-2.0-bin.tar.gz
[admin@mvxl2429 yst]$ mv apache-phoenix-5.0.0-HBase-2.0-bin phoenix-5.0.0
[admin@mvxl2429 yst]$ ls
apache-phoenix-5.0.0-HBase-2.0-bin.tar.gz hbase-2.1.5 hbase-2.1.5-bin.tar.gz phoenix-5.0.0
2、hbse整合phoenix
[admin@mvxl2429 yst]$ cp phoenix-5.0.0/phoenix-5.0.0-HBase-2.0-server.jar hbase-2.1.5/lib
[admin@mvxl2429 yst]$ ll hbase-2.1.5/lib | grep phoenix
-rw-r--r-- 1 admin admin 41800313 Jul 29 10:08 phoenix-5.0.0-HBase-2.0-server.jar
3、新建hbase数据目录和zk数据目录
[admin@mvxl2429 yst]$ mkdir -p /tmp/hbase/{zk,data}
[admin@mvxl2429 yst]$ ls /tmp/hbase
data zk
4、修改hbase相关配置
[admin@mvxl2429 yst]$ sed -i '/# export JAVA_HOME=/cexport JAVA_HOME=/usr/lib/jvm/jre-1.8.0' hbase-2.1.5/conf/hbase-env.sh
[admin@mvxl2429 yst]$ grep JAVA_HOME hbase-2.1.5/conf/hbase-env.sh
export JAVA_HOME=/usr/lib/jvm/jre-1.8.0
[admin@mvxl2429 yst]$ cat > hbase-2.1.5/conf/hbase-site.xml <<EOF
> <?xml version="1.0"?>
> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
> <configuration>
> <property>
> <name>hbase.rootdir</name>
> <value>/tmp/hbase/data</value>
> </property>
> <property>
> <name>hbase.zookeeper.property.dataDir</name>
> <value>/tmp/hbase/zk</value>
> </property>
> <property>
> <name>hbase.zookeeper.property.clientPort</name>
> <value>2182</value>
> </property>
> </configuration>
> EOF
-bash: [: too many arguments
[admin@mvxl2429 yst]$ cat hbase-2.1.5/conf/hbase-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>hbase.rootdir</name>
<value>/tmp/hbase/data</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/tmp/hbase/zk</value>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2182</value>
</property>
</configuration>
5、修改hosts
[admin@mvxl2429 bin]$ cat /etc/hosts
10.16.72.63 mvxl2429
127.0.0.1 localhost.localdomain localhost4 localhost4.localdomain4 localhost
127.0.0.1 localhost
6、启动hbase
[admin@mvxl2429 yst]$ sh hbase-2.1.5/bin/start-hbase.sh
running master, logging to /mnt/yst/hbase-2.1.5/bin/../logs/hbase-admin-master-mvxl2429.out
[admin@mvxl2429 yst]$ ps aux | grep hbase
admin 31823 0.0 0.0 110868 1700 pts/0 S 11:06 0:00 bash /mnt/yst/hbase-2.1.5/bin/hbase-daemon.sh --config /mnt/yst/hbase-2.1.5/bin/../conf foreground_start master
admin 31837 50.3 2.3 6489552 384212 pts/0 Sl 11:06 0:16 /usr/lib/jvm/jre-1.8.0/bin/java -Dproc_master -XX:OnOutOfMemoryError=kill -9 %p -XX:+UseConcMarkSweepGC -Dhbase.log.dir=/mnt/yst/hbase-2.1.5/bin/../logs -Dhbase.log.file=hbase-admin-master-mvxl2429.log -Dhbase.home.dir=/mnt/yst/hbase-2.1.5/bin/.. -Dhbase.id.str=admin -Dhbase.root.logger=INFO,RFA -Dhbase.security.logger=INFO,RFAS org.apache.hadoop.hbase.master.HMaster start
admin 32237 0.0 0.0 107884 1068 pts/0 S+ 11:07 0:00 grep hbase
7、验证一下整合效果
可以看到已经自动生成数据仓库用到的一些表。
[admin@mvxl2429 yst]$ ./phoenix-5.0.0/bin/sqlline.py localhost:2182
Setting property: [incremental, false]
Setting property: [isolation, TRANSACTION_READ_COMMITTED]
issuing: !connect jdbc:phoenix:localhost:2182 none none org.apache.phoenix.jdbc.PhoenixDriver
Connecting to jdbc:phoenix:localhost:2182
19/07/29 11:24:56 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Connected to: Phoenix (version 5.0)
Driver: PhoenixEmbeddedDriver (version 5.0)
Autocommit status: true
Transaction isolation: TRANSACTION_READ_COMMITTED
Building list of tables and columns for tab-completion (set fastconnect to true to skip)...
133/133 (100%) Done
Done
sqlline version 1.2.0
0: jdbc:phoenix:localhost:2182> !table
+------------+--------------+-------------+---------------+----------+------------+----------------------------+-----------------+--------------+--------+
| TABLE_CAT | TABLE_SCHEM | TABLE_NAME | TABLE_TYPE | REMARKS | TYPE_NAME | SELF_REFERENCING_COL_NAME | REF_GENERATION | INDEX_STATE | IMMUTA |
+------------+--------------+-------------+---------------+----------+------------+----------------------------+-----------------+--------------+--------+
| | SYSTEM | CATALOG | SYSTEM TABLE | | | | | | false |
| | SYSTEM | FUNCTION | SYSTEM TABLE | | | | | | false |
| | SYSTEM | LOG | SYSTEM TABLE | | | | | | true |
| | SYSTEM | SEQUENCE | SYSTEM TABLE | | | | | | false |
| | SYSTEM | STATS | SYSTEM TABLE | | | | | | false |
+------------+--------------+-------------+---------------+----------+------------+----------------------------+-----------------+--------------+--------+
0: jdbc:phoenix:localhost:2182> !quit
Closing: org.apache.phoenix.jdbc.PhoenixConnection
安装SQuirrel客户端
SQuirrel是一个图形化界面工具。由于Phoenix是一个JDBC驱动程序，因此与此类工具的集成是无缝的。通过SQuirrel，您可以在SQL选项卡中发出SQL语句（创建表，插入数据，运行查询），并在“对象”选项卡中检查表元数据（即列表，列，主键和类型）。
1、下载客户端 download
2、安装SQuirrel
java -jar squirrel-sql-3.9.1-standard.jar
3、配置Phoenix客户端jar包
将apache-phoenix-5.0.0-HBase-2.0-bin.tar.gz中的phoenix-5.0.0-HBase-2.0-client.jarjar包拷贝到squirrel-sql-3.9.1\lib文件夹下。
4、启动SQuirrel
在安装目录下，双击打开 squirrel-sql.bat
squirrel目录结构
5、添加一个Phoenix驱动
设置zk地址和Phoenix驱动包信息
添加Phoenix驱动
6、添加本地hosts
打开文件 c:\windows\system32\drivers\etc\hosts
添加以下内容：
10.16.72.63 mvxl2429
7、测试Phoenix连接
测试Phoenix连接
8、连接Phoenix
连接Phoenix
实现DataX数据同步
DataX是阿里开源的一个数据同步中间件。在阿里巴巴集团内被广泛使用的离线数据同步工具/平台，实现包括 MySQL、Oracle、SqlServer、Postgre、HDFS、Hive、ADS、HBase、TableStore(OTS)、MaxCompute(ODPS)、DRDS 等各种异构数据源之间高效的数据同步功能。Phoenix数据同步文档点击这里
1、开启Phoenix的瘦客户端
使用DataX同步需要用到Phoenix的瘦客户端连接。这里似乎有个BUG，如果该表了zk的端口，则无法连接。
[root@local14 bin]# ./queryserver.py start
starting Query Server, logging to /tmp/phoenix/phoenix-root-queryserver.log
2、添加DataX插件
下载打包好的DataX并没有phoenix5的同步插件，需要下载源码重新编译。DataX下载地址
[root@gz-tencent ~]# git clone https://github.com/alibaba/DataX.git
Cloning into 'DataX'...
remote: Enumerating objects: 7, done.
remote: Counting objects: 100% (7/7), done.
remote: Compressing objects: 100% (7/7), done.
remote: Total 1657 (delta 1), reused 4 (delta 0), pack-reused 1650
Receiving objects: 100% (1657/1657), 11.55 MiB | 113.00 KiB/s, done.
Resolving deltas: 100% (303/303), done.
[root@gz-tencent ~]# cd DataX ； mvn clean package -DskipTests assembly:assembly
[root@gz-tencent writer]# ll /root/DataX/hbase20xsqlwriter/target/datax/plugin/writer/hbase20xsqlwriter
total 32
-rw-r--r-- 1 root root 20401 Jul 29 23:30 hbase20xsqlwriter-0.0.1-SNAPSHOT.jar
drwxr-xr-x 2 root root 4096 Jul 29 23:30 libs
-rw-r--r-- 1 root root 262 Jul 29 23:30 plugin_job_template.json
-rwxr-xr-x 1 root root 263 Jul 29 23:30 plugin.json
3、添加DataX同步配置
[admin@mvxl2429 ~]$ cat /mnt/yst/datax/job/mysql2phoenix.json
{
"job": {
"setting": {
"speed": {
"channel": 16,
"byte": 1048576,
"record": 10000
}
},
"content": [{
"reader": {
"name": "mysqlreader",
"parameter": {
"username": "root",
"password": "root632",
"column": ["*"],
"splitPk": "id",
"connection": [{
"table": ["f_order_report_701"],
"jdbcUrl": ["jdbc:mysql://你的地址:3306/你的库"]
}]
}
},
"writer": {
"name": "hbase20xsqlwriter",
"parameter": {
"batchSize": "100",
"column": ["ID","OUTER_ORDER_ID","SHOP_NAME"],
"queryServerAddress": "http://127.0.0.1:8765",
"nullMode": "skip",
"table": "F_ORDER_REPORT_701"
}
}
}]
}
}
3、跑一个验证下
[root@local14 bin]# ./datax.py /root/data/datax/job/mysql2phoenix.json
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2019-07-26 22:56:05.927 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2019-07-26 22:56:05.936 [main] INFO Engine - the machine info =>
osInfo: Oracle Corporation 1.8 25.181-b13
jvmInfo: Linux amd64 3.10.0-862.11.6.el7.x86_64
cpu num: 1
totalPhysicalMemory: -0.00G
freePhysicalMemory: -0.00G
maxFileDescriptorCount: -1
currentOpenFileDescriptorCount: -1
GC Names [Copy, MarkSweepCompact]
MEMORY_NAME | allocation_size | init_size
Eden Space | 273.06MB | 273.06MB
Code Cache | 240.00MB | 2.44MB
Survivor Space | 34.13MB | 34.13MB
Compressed Class Space | 1,024.00MB | 0.00MB
Metaspace | -0.00MB | 0.00MB
Tenured Gen | 682.69MB | 682.69MB
2019-07-26 22:56:05.978 [main] INFO Engine -
{
"content":[
{
"reader":{
"name":"mysqlreader",
"parameter":{
"column":[
"id",
"outer_order_id",
"shop_name"
],
"connection":[
{
"jdbcUrl":[
""jdbc:mysql://你的地址:3306/你的库""
],
"table":[
"f_order_report_701"
]
}
],
"password":"*******",
"splitPk":"id",
"username":"root"
}
},
"writer":{
"name":"hbase20xsqlwriter",
"parameter":{
"batchSize":"100",
"column":[
"ID",
"OUTER_ORDER_ID",
"SHOP_NAME"
],
"nullMode":"skip",
"queryServerAddress":"http://127.0.0.1:8765",
"table":"F_ORDER_REPORT_701"
}
}
}
],
"entry":{
"jvm":"-Xms2048m -Xmx2048m"
},
"setting":{
"speed":{
"byte":1048576,
"channel":16,
"record":10000
}
}
}
2019-07-26 22:56:06.008 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2019-07-26 22:56:06.011 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2019-07-26 22:56:06.011 [main] INFO JobContainer - DataX jobContainer starts job.
2019-07-26 22:56:06.023 [main] INFO JobContainer - Set jobId = 0
2019-07-26 22:56:06.850 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:mysql://172.16.14.155:3306/ins_632_prd?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true.
2019-07-26 22:56:06.925 [job-0] INFO OriginalConfPretreatmentUtil - table:[f_order_report_701] has columns:[id,outer_create_time,order_apply_id,outer_order_id,order_refund_type,shop_name,item_id,item_name,item_cnt,item_amount,adjust_amount,discount_amount,retail_price,settlement_amount,packing_return_id,allocated_time,pay_order_no,invoice_code,store_name,store_type,logistics_com_code,current_status,paragraph_time,receiver_province_name,invoice_type,shiped_return_time,invoice_time,is_return_invoice,category_name,source,volume,weight,create_time,trade_from,operate_time,tag,cate_id,outer_shop_id,platform_id,shop_id,order_item_id,store_id,franchiser,seller_memo,parent_order_id,write_off_amount,sales_order_id,replace_order_id,f_order_type,status,order_type,business_type,purchase_type,order_attribute,order_identifying,customer_code,customer_name,supplier_code,franchiser_name,item_type,received_time,ec_reimbursement_code,apply_type,sales_channel,gift_card_amount,customer_bill,purchase_price,purchase_amount,payment_amount,update_time,order_create_time,business_name,sale_type,order_payment_amount,order_purchase_amount,document_id,item_price,order_id,parent_outer_order_id,order_fx_relation_id,real_order_id,cims_entity_id,cims_entity_name,sales_center_code,outer_store_code,is_invoice,ou_id,outer_store_name,sales_center_name,compare_id,account_time,is_adjust,unique_id,is_group,operator_mip,commodity_type,receiver_city_name,tax_code,cashback_amount,wait_settle_store,brand].
2019-07-26 22:56:07.937 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2019-07-26 22:56:07.937 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do prepare work .
2019-07-26 22:56:07.938 [job-0] INFO JobContainer - DataX Writer.Job [hbase20xsqlwriter] do prepare work .
2019-07-26 22:56:07.938 [job-0] INFO JobContainer - jobContainer starts to do split ...
2019-07-26 22:56:07.939 [job-0] INFO JobContainer - Job set Max-Byte-Speed to 1048576 bytes.
2019-07-26 22:56:07.939 [job-0] INFO JobContainer - Job set Max-Record-Speed to 10000 records.
2019-07-26 22:56:07.944 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] splits to [1] tasks.
2019-07-26 22:56:07.944 [job-0] INFO JobContainer - DataX Writer.Job [hbase20xsqlwriter] splits to [1] tasks.
2019-07-26 22:56:07.980 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2019-07-26 22:56:07.986 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2019-07-26 22:56:07.987 [job-0] INFO JobContainer - Running by standalone Mode.
2019-07-26 22:56:08.029 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2019-07-26 22:56:08.033 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2019-07-26 22:56:08.034 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2019-07-26 22:56:08.099 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2019-07-26 22:56:08.116 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,outer_order_id,shop_name from f_order_report_701
] jdbcUrl:[jdbc:mysql://172.16.14.155:3306/ins_632_prd?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2019-07-26 22:56:08.253 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,outer_order_id,shop_name from f_order_report_701
] jdbcUrl:[jdbc:mysql://172.16.14.155:3306/ins_632_prd?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2019-07-26 22:56:08.511 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[461]ms
2019-07-26 22:56:08.512 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2019-07-26 22:56:18.027 [job-0] INFO StandAloneJobContainerCommunicator - Total 30 records, 829 bytes | Speed 82B/s, 3 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2019-07-26 22:56:18.027 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2019-07-26 22:56:18.027 [job-0] INFO JobContainer - DataX Writer.Job [hbase20xsqlwriter] do post work.
2019-07-26 22:56:18.028 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do post work.
2019-07-26 22:56:18.028 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2019-07-26 22:56:18.029 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /root/data/datax/hook
2019-07-26 22:56:18.030 [job-0] INFO JobContainer -
[total cpu info] =>
averageCpu | maxDeltaCpu | minDeltaCpu
-1.00% | -1.00% | -1.00%
[total gc info] =>
NAME | totalGCCount | maxDeltaGCCount | minDeltaGCCount | totalGCTime | maxDeltaGCTime | minDeltaGCTime
Copy | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s
MarkSweepCompact | 1 | 1 | 1 | 0.075s | 0.075s | 0.075s
2019-07-26 22:56:18.031 [job-0] INFO JobContainer - PerfTrace not enable!
2019-07-26 22:56:18.031 [job-0] INFO StandAloneJobContainerCommunicator - Total 30 records, 829 bytes | Speed 82B/s, 3 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2019-07-26 22:56:18.032 [job-0] INFO JobContainer -
任务启动时刻 : 2019-07-26 22:56:06
任务结束时刻 : 2019-07-26 22:56:18
任务总计耗时 : 12s
任务平均流量 : 82B/s
记录写入速度 : 3rec/s
读出记录总数 : 30
读写失败总数 : 0
4、查看Phoenix中的数据记录
0: jdbc:phoenix:thin:url=http://localhost:876> select count(1) from F_ORDER_REPORT_701;
+-----------+
| COUNT(1) |
+-----------+
| 30 |
+-----------+
1 row selected (0.069 seconds)
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