标题: flink-sql-client提交sql脚本文件
日期: 2021-10-22 22:11:34
标签: [flink,sql-client]
分类: flink
我们知道，sql-client.sh可以提供给我们一个sql交互界面，让我们没执行一个sql，就可以看到执行结果，也可以交互式查询表的结果。
其实，我们也可以通过sql-client提交sql脚本，我们来看下。
./bin/sql-client.sh -h 对应的帮助参数:
(base) [chenzuoli@chenzuolis-MacBook /Volumes/chenzuoli/Data/docker_img/flink-1.12.1]$./bin/sql-client.sh -h
./sql-client [MODE] [OPTIONS]The following options are available:Mode "embedded" submits Flink jobs from the local machine.Syntax: embedded [OPTIONS]"embedded" mode options:-d,--defaults <environment file> The environment properties with whichevery new session is initialized.Properties might be overwritten bysession properties.-e,--environment <environment file> The environment properties to beimported into the session. It mightoverwrite default environmentproperties.-h,--help Show the help message withdescriptions of all options.-hist,--history <History file path> The file which you want to save thecommand history into. If notspecified, we will auto-generate oneunder your user's home directory.-j,--jar <JAR file> A JAR file to be imported into thesession. The file might containuser-defined classes needed for theexecution of statements such asfunctions, table sources, or sinks.Can be used multiple times.-l,--library <JAR directory> A JAR file directory with which everynew session is initialized. The filesmight contain user-defined classesneeded for the execution ofstatements such as functions, tablesources, or sinks. Can be usedmultiple times.-pyarch,--pyArchives <arg> Add python archive files for job. Thearchive files will be extracted tothe working directory of python UDFworker. Currently only zip-format issupported. For each archive file, atarget directory be specified. If thetarget directory name is specified,the archive file will be extracted toa name can directory with thespecified name. Otherwise, thearchive file will be extracted to adirectory with the same name of thearchive file. The files uploaded viathis option are accessible viarelative path. '#' could be used asthe separator of the archive filepath and the target directory name.Comma (',') could be used as theseparator to specify multiple archivefiles. This option can be used toupload the virtual environment, thedata files used in Python UDF (e.g.:--pyArchivesfile:///tmp/py37.zip,file:///tmp/data.zip#data --pyExecutablepy37.zip/py37/bin/python). The datafiles could be accessed in PythonUDF, e.g.: f = open('data/data.txt','r').-pyexec,--pyExecutable <arg> Specify the path of the pythoninterpreter used to execute thepython UDF worker (e.g.:--pyExecutable/usr/local/bin/python3). The pythonUDF worker depends on Python 3.5+,Apache Beam (version == 2.23.0), Pip(version >= 7.1.0) and SetupTools(version >= 37.0.0). Please ensurethat the specified environment meetsthe above requirements.-pyfs,--pyFiles <pythonFiles> Attach custom python files for job.These files will be added to thePYTHONPATH of both the local clientand the remote python UDF worker. Thestandard python resource filesuffixes such as .py/.egg/.zip ordirectory are all supported. Comma(',') could be used as the separatorto specify multiple files (e.g.:--pyFilesfile:///tmp/myresource.zip,hdfs:///$namenode_address/myresource2.zip).-pyreq,--pyRequirements <arg> Specify a requirements.txt file whichdefines the third-party dependencies.These dependencies will be installedand added to the PYTHONPATH of thepython UDF worker. A directory whichcontains the installation packages ofthese dependencies could be specifiedoptionally. Use '#' as the separatorif the optional parameter exists(e.g.: --pyRequirementsfile:///tmp/requirements.txt#file:///tmp/cached_dir).-s,--session <session identifier> The identifier for a session.'default' is the default identifier.-u,--update <SQL update statement> Experimental (for testing only!):Instructs the SQL Client toimmediately execute the given updatestatement after starting up. Theprocess is shut down after thestatement has been submitted to thecluster and returns an appropriatereturn code. Currently, this featureis only supported for INSERT INTOstatements that declare the targetsink table.
其中第一个参数-d，可以指定一些环境上的参数配置。
接下来，我们看看conf/sql-client-defaults.yaml文件，这个文件其实就是对应的配置文件。
创建测试用的数据文件：
mkdir sql_test
vim sql_test/book-store.csv枪炮、病菌和钢铁,18,社会学
APP UI设计之道,20,设计
通证经济,22,经济学
区块链的真正商机,21,经济学我们再来创建一个自己的配置文件，读取csv文件，然后select出来，新建文件conf/book-store.yaml
vim conf/book-store.yamltables:- name: BookStoretype: source-tableupdate-mode: appendconnector:type: filesystempath: "/Users/zhaoqin/temp/202004/26/book-store.csv"format:type: csvfields:- name: BookNametype: VARCHAR- name: BookAmounttype: INT- name: BookCatalogtype: VARCHARline-delimiter: "\n"comment-prefix: ","schema:- name: BookNametype: VARCHAR- name: BookAmounttype: INT- name: BookCatalogtype: VARCHAR- name: MyBookViewtype: viewquery: "SELECT BookCatalog, SUM(BookAmount) AS Amount FROM BookStore GROUP BY BookCatalog"execution:planner: blink # optional: either 'blink' (default) or 'old'type: streaming # required: execution mode either 'batch' or 'streaming'result-mode: table # required: either 'table' or 'changelog'max-table-result-rows: 1000000 # optional: maximum number of maintained rows in# 'table' mode (1000000 by default, smaller 1 means unlimited)time-characteristic: event-time # optional: 'processing-time' or 'event-time' (default)parallelism: 1 # optional: Flink's parallelism (1 by default)periodic-watermarks-interval: 200 # optional: interval for periodic watermarks (200 ms by default)max-parallelism: 16 # optional: Flink's maximum parallelism (128 by default)min-idle-state-retention: 0 # optional: table program's minimum idle state timemax-idle-state-retention: 0 # optional: table program's maximum idle state time# (default database of the current catalog by default)restart-strategy: # optional: restart strategytype: fallback # "fallback" to global restart strategy by default# Configuration options for adjusting and tuning table programs.# A full list of options and their default values can be found
# on the dedicated "Configuration" page.
configuration:table.optimizer.join-reorder-enabled: truetable.exec.spill-compression.enabled: truetable.exec.spill-compression.block-size: 128kb# Properties that describe the cluster to which table programs are submitted to.deployment:response-timeout: 5000
通过指定配置文件的方式，来启动一个session，执行相应的source-table和sink-table。
其中关于book-store.yaml配置文件，有几点需要注意：
a. tables.type等于source-table，表明这是数据源的配置信息；
b. tables.connector描述了详细的数据源信息，path是book-store.csv文件的完整路径，connector的type指定为filesystem，这跟我们写sql的时候指定的connector参数是一致的；
c. tables.format描述了文件内容，type为csv格式；
d. tables.schema描述了数据源表的表结构；
ed. type为view表示MyBookView是个视图(参考数据库的视图概念)；
下面来看一下测试结果：
./bin/start-cluster.sh
./bin/sql-client.sh embedded -d conf/book-store.yaml
进入sql-client sql交互界面之后，可以看到环境已经配置好了，
Flink SQL> show tables;
BookStore
MyBookViewFlink SQL> desc BookStore;
+-------------+--------+------+-----+--------+-----------+
| name | type | null | key | extras | watermark |
+-------------+--------+------+-----+--------+-----------+
| BookName | STRING | true | | | |
| BookAmount | INT | true | | | |
| BookCatalog | STRING | true | | | |
+-------------+--------+------+-----+--------+-----------+
3 rows in setFlink SQL> desc MyBookView
> ;
+-------------+--------+------+-----+--------+-----------+
| name | type | null | key | extras | watermark |
+-------------+--------+------+-----+--------+-----------+
| BookCatalog | STRING | true | | | |
| Amount | INT | true | | | |
+-------------+--------+------+-----+--------+-----------+
2 rows in set
可以看到两个表已经创建好了，我们可以看一下数据：
select * from MyBookView;BookCatalog Amount社会学 18设计 20经济学 43
对不对，ok了，你要是yaml文件中写有sink-table那么，直接就提交了一个flink job到flink集群了，是不是达到了提交flink sql脚本文件的效果了。
好了，今天就这样，因为这几天在倒腾公司数据平台组开发的一个 流数据平台，发现他们是通过sql-client，提交到k8s上的，这一个提交任务方式，着实让我感到意外。因为之前翻译过一篇官方提供的flink submit job的文章，里面提到了四种提交方式：
- local cluster
- application mode
- per job mode
- session mode
我以为只有这四种呢，其实仔细看，sql-client提交sql的方式类似于session的方式，在整个session启动过程中，你可以不听地执行sql语句，session关闭，则任务关闭。
ok，下次见。
flink, yyds.
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