{"id":1907,"date":"2017-08-31T11:12:33","date_gmt":"2017-08-31T03:12:33","guid":{"rendered":"http:\/\/www.xttblog.com\/?p=1907"},"modified":"2017-08-31T11:12:33","modified_gmt":"2017-08-31T03:12:33","slug":"kafka-ksql%e5%85%a5%e9%97%a8","status":"publish","type":"post","link":"https:\/\/www.xttblog.com\/?p=1907","title":{"rendered":"Kafka KSQL\u5165\u95e8"},"content":{"rendered":"<p>\n\t\u57fa\u4e8e\u524d\u9762\u4e24\u7bc7\u5173\u4e8eKSQL\u7684<a href=\"https:\/\/www.xttblog.com\/?p=1896\" name=\"Apache Kafka\u7684\u6d41\u5f0fSQL\u5f15\u64ceKSQL\u7b80\u4ecb\" target=\"_blank\" title=\"Apache Kafka\u7684\u6d41\u5f0fSQL\u5f15\u64ceKSQL\u7b80\u4ecb\">\u4ecb\u7ecd<\/a>\u548c<a href=\"https:\/\/www.xttblog.com\/?p=1898\" name=\"KSQL\u67b6\u6784\u539f\u7406\u89e3\u6790\" target=\"_blank\" title=\"KSQL\u67b6\u6784\u539f\u7406\u89e3\u6790\">\u5b9e\u73b0\u539f\u7406<\/a>\uff0c\u672c\u6587\u5c06\u7ee7\u7eed\u8fdb\u5165\u5230KSQL\u7684\u5f00\u53d1\u5b9e\u6218\u9636\u6bb5\uff0c\u7ed9\u5927\u5bb6\u8bb2\u89e3\u4e00\u4e2a\u7b80\u5355\u7684demo\u7a0b\u5e8f\u3002\n<\/p>\n<p>\n\t\u672c\u5b9e\u4f8b\u5c06\u6f14\u793a\u4e00\u4e2a\u4f7f\u7528KSQL\u7684\u7b80\u5355\u5de5\u4f5c\u6d41\u7a0b\u6765\u9488\u5bf9Kafka\u4e2d\u7684\u6570\u636e\u7f16\u5199\u6d41\u5f0f\u67e5\u8be2\u3002\n<\/p>\n<p>\n\t\u7531\u4e8eKSQL\u67e5\u8be2Kafka\u7fa4\u96c6\u4e2d\u7684\u6570\u636e\uff0c\u56e0\u6b64\u60a8\u9700\u8981\u542f\u52a8Kafka\u7fa4\u96c6\uff0c\u5176\u4e2d\u5305\u62ecZooKeeper\u548cKafka\u4ee3\u7406\u3002\n<\/p>\n<p>\n\t\u7b2c\u4e00\u6b65\uff1a\u542f\u52a8Kafka\u96c6\u7fa4\u5e76\u542f\u52a8KSQL\u3002\n<\/p>\n<ul>\n<li>\n\t\t<a href=\"https:\/\/www.xttblog.com\/?p=1901\" name=\"Docker\u5b89\u88c5KSQL\" target=\"_blank\" title=\"Docker\u5b89\u88c5KSQL\">Docker\u5b89\u88c5KSQL<\/a>\n\t<\/li>\n<li>\n\t\t<a href=\"https:\/\/www.xttblog.com\/?p=1905\" name=\"\u975eDocker\u73af\u5883\u4e0b\u5b89\u88c5KSQL\" target=\"_blank\" title=\"\u975eDocker\u73af\u5883\u4e0b\u5b89\u88c5KSQL\">\u975eDocker\u73af\u5883\u4e0b\u5b89\u88c5KSQL<\/a>\n\t<\/li>\n<\/ul>\n<p>\n\t\u7b2c\u4e8c\u6b65\uff1a\u6210\u529f\u542f\u52a8Kafka\u96c6\u7fa4\u5e76\u542f\u52a8KSQL\u540e\uff0c\u60a8\u5c06\u770b\u5230KSQL\u63d0\u793a\u7b26\uff1a\n<\/p>\n<pre class=\"brush:plain;\">\r\n                   ======================================\r\n                   =      _  __ _____  ____  _          =\r\n                   =     | |\/ \/\/ ____|\/ __ \\| |         =\r\n                   =     | &#039; \/| (___ | |  | | |         =\r\n                   =     |  &lt;  \\___ \\| |  | | |         =\r\n                   =     | . \\ ____) | |__| | |____     =\r\n                   =     |_|\\_\\_____\/ \\___\\_\\______|    =\r\n                   =                                    =\r\n                   =   Streaming SQL Engine for Kafka   =\r\nCopyright 2017 Confluent Inc.                         \r\n\r\nCLI v0.1, Server v0.1 located at http:\/\/localhost:9098\r\n\r\nHaving trouble? Type &#039;help&#039; (case-insensitive) for a rundown of how things work!\r\n\r\nksql&gt;<\/pre>\n<p>\n\t\u7b2c\u4e09\u6b65\uff1aKSQL\u63d0\u4f9b\u4e86\u7ed3\u6784\u5316\u67e5\u8be2\u8bed\u8a00\u6765\u67e5\u8be2Kafka\u6570\u636e\uff0c\u56e0\u6b64\u60a8\u9700\u8981\u4e00\u4e9b\u6570\u636e\u8fdb\u884c\u67e5\u8be2\u3002\n<\/p>\n<ul>\n<li>\n\t\t\u5982\u679c\u60a8\u4f7f\u7528Docker Compose\u6587\u4ef6\uff0cDocker\u5bb9\u5668\u5df2\u7ecf\u5728\u8fd0\u884c\uff0c\u8be5\u6570\u636e\u751f\u6210\u5668\u6b63\u5728\u5411Kafka\u96c6\u7fa4\u4e0d\u65ad\u751f\u6210Kafka\u6d88\u606f\u3002\u4e0d\u9700\u8981\u91c7\u53d6\u8fdb\u4e00\u6b65\u884c\u52a8\u3002\n\t<\/li>\n<li>\n\t\t\u5982\u679c\u60a8\u4e0d\u4f7f\u7528Docker\u73af\u5883\uff0c\u8bf7\u6309\u7167<a href=\"https:\/\/www.xttblog.com\/?p=1905\" name=\"\u975eDocker\u73af\u5883\u4e0b\u5b89\u88c5KSQL\" target=\"_blank\" title=\"\u975eDocker\u73af\u5883\u4e0b\u5b89\u88c5KSQL\">\u975eDocker\u73af\u5883<\/a>\u4e2d\u8bf4\u660e\u7684\u65b9\u6cd5\u5411Kafka\u7fa4\u96c6\u751f\u6210\u6570\u636e\u3002\n\t<\/li>\n<\/ul>\n<h2>\n\t\u521b\u5efaStream \u548c Table<br \/>\n<\/h2>\n<p>\n\t\u672c\u793a\u4f8b\u663e\u793a\u4e86\u4eceKafka\u4e3b\u9898\u4e2d\u67e5\u8be2\u6570\u636e\u7684\u793a\u4f8b\uff0cpageviews\u5e76users\u4f7f\u7528\u4ee5\u4e0b\u6a21\u5f0f\uff1a\n<\/p>\n<p>\n\t<img decoding=\"async\" alt=\"\u521b\u5efaStream \u548c Table\" src=\"http:\/\/ocuzluml6.bkt.clouddn.com\/20170830170049.png\" style=\"width: 638px;height: 313px\" \/>\n<\/p>\n<p>\n\t\u5728\u7ee7\u7eed\u4e4b\u524d\uff0c\u8bf7\u786e\u8ba4\uff1a\n<\/p>\n<ul>\n<li>\n\t\t\u5728\u60a8\u542f\u52a8KSQL\u7684\u7ec8\u7aef\u7a97\u53e3\u4e2d\uff0c\u60a8\u4f1a\u770b\u5230ksql&gt;\u63d0\u793a\u3002\n\t<\/li>\n<li>\n\t\t\u5982\u679c\u4f60\u4e0d\u60f3\u4f7f\u7528Docker\uff0c\u4f60\u5fc5\u987b\u624b\u52a8\u8fd0\u884c\u6570\u636e\u53d1\u751f\u5668\u6765\u4ea7\u751f\u4e3b\u9898\u53ebpageviews \u548cusers\u3002\u53c2\u8003<a href=\"https:\/\/www.xttblog.com\/?p=1905\" name=\"\u975eDocker\u73af\u5883\u4e0b\u5b89\u88c5KSQL\" target=\"_blank\" title=\"\u975eDocker\u73af\u5883\u4e0b\u5b89\u88c5KSQL\">\u975eDocker\u73af\u5883<\/a>\u4e2d\u5411Kafka\u7fa4\u96c6\u751f\u6210\u6570\u636e\u7684\u65b9\u6cd5\u3002\n\t<\/li>\n<\/ul>\n<p>\n\t\u4eceKafka\u7684pageviews\u4e3b\u9898\uff08topic\uff09\u521b\u5efa\u4e00\u4e2apageviews_original\u6d41\uff08Stream\uff09\u3002\u6307\u5b9avalue_format\u7684DELIMITED\u3002\u7136\u540eDESCRIBE\u662f\u65b0\u7684STREAM\u3002\u8bf7\u6ce8\u610f\uff0cKSQL\u521b\u5efa\u4e86\u989d\u5916\u7684\u5217ROWTIME\uff0c\u5b83\u4eec\u5bf9\u5e94\u4e8eKafka\u6d88\u606f\u65f6\u95f4\u6233\uff0c\u5e76\u4e14ROWKEY\u5bf9\u5e94\u4e8eKafka\u6d88\u606f\u5bc6\u94a5\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; CREATE STREAM pageviews_original (viewtime bigint, userid varchar, pageid varchar) WITH (kafka_topic=&#039;pageviews&#039;, value_format=&#039;DELIMITED&#039;);\r\nksql&gt; DESCRIBE pageviews_original;\r\n Field    | Type            \r\n----------------------------\r\n ROWTIME  | BIGINT          \r\n ROWKEY   | VARCHAR(STRING) \r\n VIEWTIME | BIGINT          \r\n USERID   | VARCHAR(STRING) \r\n PAGEID   | VARCHAR(STRING) <\/pre>\n<p>\n\t\u521b\u5efa\u4e00\u4e2a\u8868\uff0cusers_original\u4ece\u5361\u592b\u5361\u7684\u8bdd\u9898users\uff0c\u6307\u5b9avalue_format\u7684JSON\u3002\u7136\u540eDESCRIBE\u65b0\u7684TABLE\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; CREATE TABLE users_original (registertime bigint, gender varchar, regionid varchar, userid varchar) WITH (kafka_topic=&#039;users&#039;, value_format=&#039;JSON&#039;);\r\nksql&gt; DESCRIBE users_original;\r\n Field        | Type            \r\n--------------------------------\r\n ROWTIME      | BIGINT          \r\n ROWKEY       | VARCHAR(STRING) \r\n REGISTERTIME | BIGINT          \r\n GENDER       | VARCHAR(STRING) \r\n REGIONID     | VARCHAR(STRING) \r\n USERID       | VARCHAR(STRING)<\/pre>\n<p>\n\t\u663e\u793a\u6240\u6709STREAMS\u548cTABLES\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; SHOW STREAMS;\r\n\r\n Stream Name              | Kafka Topic              | Format    \r\n-----------------------------------------------------------------\r\n PAGEVIEWS_ORIGINAL       | pageviews                | DELIMITED \r\n\r\nksql&gt; SHOW TABLES;\r\n\r\n Table Name        | Kafka Topic       | Format    | Windowed \r\n--------------------------------------------------------------\r\n USERS_ORIGINAL    | users             | JSON      | false  <\/pre>\n<h2>\n\t\u4f7f\u7528\u67e5\u8be2<br \/>\n<\/h2>\n<p>\n\t\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cKSQL\u4ece\u6700\u65b0\u7684\u504f\u79fb\u91cf\u8bfb\u53d6\u6d41\u548c\u8868\u7684\u4e3b\u9898\u3002\n<\/p>\n<p>\n\t\u4f7f\u7528SELECT\u521b\u5efa\u4ece\u6d41\u8fd4\u56de\u6570\u636e\u7684\u67e5\u8be2\u3002\u8981\u505c\u6b62\u67e5\u770b\u6570\u636e\uff0c\u8bf7\u6309&lt;ctrl-c&gt;\u3002\u60a8\u53ef\u4ee5\u9009\u62e9\u5305\u542bLIMIT\u5173\u952e\u5b57\u6765\u9650\u5236\u67e5\u8be2\u7ed3\u679c\u4e2d\u8fd4\u56de\u7684\u884c\u6570\u3002\u8bf7\u6ce8\u610f\uff0c\u7531\u4e8e\u6570\u636e\u751f\u6210\u7684\u968f\u673a\u6027\uff0c\u7cbe\u786e\u7684\u6570\u636e\u8f93\u51fa\u53ef\u80fd\u4f1a\u6709\u6240\u4e0d\u540c\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; CREATE STREAM pageviews_original (viewtime bigint, userid varchar, pageid varchar) WITH (kafka_topic=&#039;pageviews&#039;, value_format=&#039;DELIMITED&#039;);\r\nksql&gt; DESCRIBE pageviews_original;\r\n Field    | Type            \r\n----------------------------\r\n ROWTIME  | BIGINT          \r\n ROWKEY   | VARCHAR(STRING) \r\n VIEWTIME | BIGINT          \r\n USERID   | VARCHAR(STRING) \r\n PAGEID   | VARCHAR(STRING) <\/pre>\n<p>\n\t\u901a\u8fc7CREATE STREAM\u5728SELECT\u8bed\u53e5\u4e4b\u524d\u4f7f\u7528\u5173\u952e\u5b57\u6765\u521b\u5efa\u6301\u4e45\u6027\u67e5\u8be2\u3002\u4e0e\u4e0a\u8ff0\u975e\u6301\u4e45\u67e5\u8be2\u4e0d\u540c\uff0c\u6b64\u67e5\u8be2\u7684\u7ed3\u679c\u5c06\u5199\u5165Kafka\u4e3b\u9898PAGEVIEWS_FEMALE\u3002\u4e0b\u9762\u7684\u67e5\u8be2\u5c06pageviews\u901a\u8fc7LEFT JOIN\u4f7f\u7528users_original\u7528\u6237ID \u7684TABLE\u6765\u6ee1\u8db3STREAM\uff0c\u6ee1\u8db3\u6761\u4ef6\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; CREATE STREAM pageviews_female AS SELECT users_original.userid AS userid, pageid, regionid, gender FROM pageviews_original LEFT JOIN users_original ON pageviews_original.userid = users_original.userid WHERE gender = &#039;FEMALE&#039;;\r\nksql&gt; DESCRIBE pageviews_female;\r\n&nbsp;Field &nbsp; &nbsp;| Type &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;\r\n----------------------------\r\n&nbsp;ROWTIME &nbsp;| BIGINT &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;\r\n&nbsp;ROWKEY &nbsp; | VARCHAR(STRING)&nbsp;\r\n&nbsp;USERID &nbsp; | VARCHAR(STRING)&nbsp;\r\n&nbsp;PAGEID &nbsp; | VARCHAR(STRING)&nbsp;\r\n&nbsp;REGIONID | VARCHAR(STRING)&nbsp;\r\n&nbsp;GENDER &nbsp; | VARCHAR(STRING)&nbsp;<\/pre>\n<p>\n\t\u4f7f\u7528SELECT\u67e5\u770b\u67e5\u8be2\u7ed3\u679c\uff0c\u56e0\u4e3a\u4ed6\u4eec\u8fdb\u6765\u3002\u505c\u6b62\u89c2\u770b\u67e5\u8be2\u7ed3\u679c\uff0c\u6309&lt;ctrl-c&gt;\u3002\u8fd9\u5c06\u505c\u6b62\u6253\u5370\u5230\u63a7\u5236\u53f0\uff0c\u4f46\u4e0d\u4f1a\u7ec8\u6b62\u5b9e\u9645\u7684\u67e5\u8be2\u3002\u8be5\u67e5\u8be2\u7ee7\u7eed\u8fd0\u884c\u5728Kernel\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; SELECT * FROM pageviews_female;\r\n1502477856762 | User_2 | User_2 | Page_55 | Region_9 | FEMALE\r\n1502477857946 | User_5 | User_5 | Page_14 | Region_2 | FEMALE\r\n1502477858436 | User_3 | User_3 | Page_60 | Region_3 | FEMALE\r\n^CQuery terminated\r\nksql&gt; <\/pre>\n<p>\n\t\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u6301\u4e45\u6027\u67e5\u8be2\uff0c\u5176\u4e2d\u4f7f\u7528\u53e6\u4e00\u4e2a\u6761\u4ef6LIKE\u3002\u6b64\u67e5\u8be2\u7684\u7ed3\u679c\u5c06\u5199\u5165\u540d\u4e3a&ldquo;Kafka&rdquo;\u7684\u4e3b\u9898pageviews_enriched_r8_r9\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; CREATE STREAM pageviews_female_like_89 WITH (kafka_topic=&#039;pageviews_enriched_r8_r9&#039;, value_format=&#039;DELIMITED&#039;) AS SELECT * FROM pageviews_female WHERE regionid LIKE &#039;%_8&#039; OR regionid LIKE &#039;%_9&#039;;<\/pre>\n<p>\n\t\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u6301\u4e45\u6027\u67e5\u8be2\uff0c\u5f53\u8ba1\u6570\u5927\u4e8e1\u65f6\uff0c\u4f1a\u572830\u79d2\u7684\u6eda\u52a8\u7a97\u53e3\u4e2d\u8ba1\u7b97\u6bcf\u4e2a\u533a\u57df\u548c\u6027\u522b\u7ec4\u5408\u7684\u7f51\u9875\u6d4f\u89c8\u91cf\u3002\u6b64\u67e5\u8be2\u7684\u7ed3\u679c\u5c06\u5199\u5165\u540d\u4e3a\u7684Kafka\u4e3b\u9898PAGEVIEWS_REGIONS\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; CREATE TABLE pageviews_regions AS SELECT gender, regionid , COUNT(*) AS numusers FROM pageviews_female WINDOW TUMBLING (size 30 second) GROUP BY gender, regionid HAVING COUNT(*) &gt; 1;\r\nksql&gt; DESCRIBE pageviews_regions;\r\n Field    | Type            \r\n----------------------------\r\n ROWTIME  | BIGINT          \r\n ROWKEY   | VARCHAR(STRING) \r\n GENDER   | VARCHAR(STRING) \r\n REGIONID | VARCHAR(STRING) \r\n NUMUSERS | BIGINT <\/pre>\n<p>\n\t\u4f7f\u7528SELECT\u67e5\u770b\u4ece\u4e0a\u9762\u7684\u67e5\u8be2\u7ed3\u679c\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; SELECT regionid, numusers FROM pageviews_regions LIMIT 5;\r\nRegion_3 | 4\r\nRegion_3 | 5\r\nRegion_6 | 5\r\nRegion_6 | 6\r\nRegion_3 | 8\r\nLIMIT reached for the partition.\r\nQuery terminated\r\nksql&gt; <\/pre>\n<p>\n\t\u663e\u793a\u6240\u6709\u6301\u4e45\u67e5\u8be2\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; SHOW QUERIES;\r\n Query ID | Kafka Topic              | Query String                                                                                                                                                                                                                      \r\n-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\r\n 1        | PAGEVIEWS_FEMALE         | CREATE STREAM pageviews_female AS SELECT users_original.userid AS userid, pageid, regionid, gender FROM pageviews_original LEFT JOIN users_original ON pageviews_original.userid = users_original.userid WHERE gender = &#039;FEMALE&#039;; \r\n 2        | pageviews_enriched_r8_r9 | CREATE STREAM pageviews_female_like_89 WITH (kafka_topic=&#039;pageviews_enriched_r8_r9&#039;, value_format=&#039;DELIMITED&#039;) AS SELECT * FROM pageviews_female WHERE regionid LIKE &#039;%_8&#039; OR regionid LIKE &#039;%_9&#039;;                                \r\n 3        | PAGEVIEWS_REGIONS        | CREATE TABLE pageviews_regions AS SELECT gender, regionid , COUNT(*) AS numusers FROM pageviews_female WINDOW TUMBLING (size 30 second) GROUP BY gender, regionid HAVING COUNT(*) &gt; 1;   <\/pre>\n<h2>\n\t\u9000\u51fa\u7ec8\u7aef<br \/>\n<\/h2>\n<p>\n\t\u67e5\u8be2\u5c06\u4f5c\u4e3aKSQL\u5e94\u7528\u7a0b\u5e8f\u6301\u7eed\u8fd0\u884c\uff0c\u76f4\u5230\u5b83\u4eec\u88ab\u624b\u52a8\u7ec8\u6b62\u3002\u9000\u51faKSQL\u4e0d\u4f1a\u7ec8\u6b62\u6301\u4e45\u67e5\u8be2\u3002\n<\/p>\n<p>\n\t\u4ece\u8f93\u51fa\u4e2dSHOW QUERIES;\u6807\u8bc6\u60a8\u8981\u7ec8\u6b62\u7684\u67e5\u8be2ID\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u60f3\u7ec8\u6b62\u67e5\u8be2ID 2\uff1a\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; TERMINATE 2;<\/pre>\n<p>\n\t\u8981\u4eceKSQL\u9000\u51fa\uff0c\u952e\u5165&#039;exit&#039;\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\nksql&gt; exit<\/pre>\n<h2>\n\t\u5173\u95edDocker Compose<br \/>\n<\/h2>\n<p>\n\t\u5982\u679c\u4f60\u8fd0\u884cDocker Compose\uff0c\u4f60\u5fc5\u987b\u660e\u786e\u5730\u5173\u95edDocker Compose\u3002\n<\/p>\n<p>\n\t\u4e0b\u9762\u7684\u547d\u4ee4\u5c06\u5220\u9664\u6240\u6709KSQL\u67e5\u8be2\u548c\u4e3b\u9898\u6570\u636e\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\n$ docker-compose down<\/pre>\n<p>\n\t\u66f4\u591a\u8be6\u7ec6\u547d\u4ee4\uff0c\u8bf7\u53c2\u9605<a href=\"https:\/\/docs.docker.com\/compose\/reference\/down\/\" name=\"docker-compose down\" target=\"_blank\" title=\"docker-compose down\">docker-compose down<\/a>\u6587\u6863\u3002\n<\/p>\n<p>\n\t\u505c\u6b62Confluent\u5e73\u53f0\n<\/p>\n<p>\n\t\u4f7f\u7528\u4e0b\u9762\u7684\u547d\u4ee4\uff0c\u5373\u53ef\u505c\u6b62confluent\u5e73\u53f0\u3002\n<\/p>\n<pre class=\"brush:bash;\">\r\n$ confluent stop<\/pre>\n<h2>\n\t\u53c2\u8003\u8d44\u6599<br \/>\n<\/h2>\n<ul>\n<li>\n\t\t<a href=\"https:\/\/github.com\/confluentinc\/ksql\/tree\/0.1.x\/docs\/quickstart\" name=\"quick start for KSQL\" target=\"_blank\" title=\"quick start for KSQL\">https:\/\/github.com\/confluentinc\/ksql\/tree\/0.1.x\/docs\/quickstart<\/a>\n\t<\/li>\n<\/ul>\n<!-- <audio autoplay=\"autoplay\" height=\"100\" width=\"100\" hidden=\"true\"><source src=\"https:\/\/c.coka.la\/orAvPR.mp3\" type=\"audio\/mp3\"\/><\/audio><img decoding=\"async\" src=\"https:\/\/images.weserv.nl\/?url=https:\/\/ws3.sinaimg.cn\/large\/8fa5dcfcgy1g4em3rzar5j20ib089ae0.jpg\" alt=\"\u4e1a\u4f59\u8349\u516c\u4f17\u53f7\"\/> --><p><!-- <img decoding=\"async\" src=\"https:\/\/raw.githubusercontent.com\/xmt1139057136\/xttblog\/master\/8fa5dcfcgy1g4em3rzar5j20ib089ae0.jpg\" alt=\"\u4e1a\u4f59\u8349\u516c\u4f17\u53f7\"\/>--><img decoding=\"async\" src=\"https:\/\/saas.51autoparts.cn\/api\/admin\/sys-file\/oss\/file?fileName=84db51f8561e448f9a4fda2eff0811f9.jpg\" alt=\"\u4e1a\u4f59\u8349\u516c\u4f17\u53f7\"\/><\/p><p>\u6700\u540e\uff0c\u6b22\u8fce\u5173\u6ce8\u6211\u7684\u4e2a\u4eba\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a\u4e1a\u4f59\u8349\uff08yyucao\uff09\uff01<b>\u53ef\u52a0\u4f5c\u8005\u5fae\u4fe1\u53f7\uff1a<font color=\"red\">xttblog2<\/font>\u3002\u5907\u6ce8\uff1a\u201c1\u201d\uff0c\u6dfb\u52a0\u535a\u4e3b\u5fae\u4fe1\u62c9\u4f60\u8fdb\u5fae\u4fe1\u7fa4\u3002\u5907\u6ce8\u9519\u8bef\u4e0d\u4f1a\u540c\u610f\u597d\u53cb\u7533\u8bf7\u3002<\/b>\u518d\u6b21\u611f\u8c22\u60a8\u7684\u5173\u6ce8\uff01\u540e\u7eed\u6709\u7cbe\u5f69\u5185\u5bb9\u4f1a\u7b2c\u4e00\u65f6\u95f4\u53d1\u7ed9\u60a8\uff01\u539f\u521b\u6587\u7ae0\u6295\u7a3f\u8bf7\u53d1\u9001\u81f3532009913@qq.com\u90ae\u7bb1\u3002\u5546\u52a1\u5408\u4f5c\u4e5f\u53ef\u6dfb\u52a0\u4f5c\u8005\u5fae\u4fe1\u8fdb\u884c\u8054\u7cfb\uff01<\/p><p>\u672c\u6587\u539f\u6587\u51fa\u5904\uff1a<a href=\"https:\/\/www.xttblog.com\">\u4e1a\u4f59\u8349<\/a>\uff1a &raquo; <a href=\"https:\/\/www.xttblog.com\/?p=1907\">Kafka KSQL\u5165\u95e8<\/a><\/p><!-- <div class=\"bd-reward-stl\"><button id=\"bdRewardBtn\"><span><\/span><\/button><\/div> -->","protected":false},"excerpt":{"rendered":"<p>\u57fa\u4e8e\u524d\u9762\u4e24\u7bc7\u5173\u4e8eKSQL\u7684\u4ecb\u7ecd\u548c\u5b9e\u73b0\u539f\u7406\uff0c\u672c\u6587\u5c06\u7ee7\u7eed\u8fdb\u5165\u5230KSQL\u7684\u5f00\u53d1\u5b9e\u6218\u9636\u6bb5\uff0c\u7ed9\u5927\u5bb6\u8bb2\u89e3\u4e00\u4e2a\u7b80\u5355\u7684demo [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[789,1473],"class_list":["post-1907","post","type-post","status-publish","format-standard","hentry","category-sql","tag-kafka","tag-ksql"],"_links":{"self":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts\/1907","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1907"}],"version-history":[{"count":2,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts\/1907\/revisions"}],"predecessor-version":[{"id":1910,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=\/wp\/v2\/posts\/1907\/revisions\/1910"}],"wp:attachment":[{"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1907"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1907"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xttblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1907"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}