...">
美文网首页
flink upsert kafka sql

flink upsert kafka sql

作者: loukey_j | 来源:发表于2021-04-19 15:56 被阅读0次

pom:
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>

<groupId>com.sf.bdp</groupId>
<artifactId>kafka-wide-table</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
    <maven.compiler.source>1.8</maven.compiler.source>
    <maven.compiler.target>1.8</maven.compiler.target>
    <encoding>UTF-8</encoding>
    <scala.version>2.11.12</scala.version>
    <scala.binary.version>2.11</scala.binary.version>
    <hadoop.version>2.7.3</hadoop.version>
    <protostuff.version>1.0.5</protostuff.version>
    <flink.version>1.12.2</flink.version>
    <kafka.version>2.3.1</kafka.version>
</properties>

<dependencies>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-table</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-connector-kafka_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-streaming-java_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-clients_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-runtime_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-java</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-table-api-java-bridge_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <!--<dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-table-planner_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>-->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-table-planner-blink_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-json</artifactId>
        <version>${flink.version}</version>
    </dependency>
</dependencies>

</project>

code:

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.TableResult;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

public class KafkaSoureTest {
public static void main(String[] args) throws Exception {
//StreamExecutionEnvironment streamEnv = StreamExecutionEnvironment.getExecutionEnvironment();
//EnvironmentSettings bsSettings = EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
//StreamTableEnvironment tEnv = StreamTableEnvironment.create(streamEnv, bsSettings);

    StreamExecutionEnvironment streamEnv = StreamExecutionEnvironment.getExecutionEnvironment();
    StreamTableEnvironment tEnv = StreamTableEnvironment.create(streamEnv);
    tEnv.executeSql("CREATE TABLE soruce1 (\n" +
            "    id     STRING,     \n" +
            "    pv          BIGINT,     \n" +
            "    uv          BIGINT,     \n" +
            "    PRIMARY KEY (id) NOT ENFORCED\n" +
            ") WITH (\n" +
            "  'connector' = 'upsert-kafka',\n" +
            "  'topic' = 'soruce1_pvuv',\n" +
            "  'properties.bootstrap.servers' = '10.202.116.43:9092',\n" +
            "  'key.json.ignore-parse-errors' = 'true',\n" +
            "  'value.json.fail-on-missing-field' = 'false',\n" +
            //"  'scan.startup.mode' = 'latest-offset',\n" +
            "  'value.json.ignore-parse-errors' = 'true',\n" +
            "  'key.format' = 'json',\n" +
            "  'value.format' = 'json',\n" +
            "  'value.fields-include' = 'EXCEPT_KEY'\n" +
            ")");
    tEnv.executeSql("CREATE TABLE sink1 (\n" +
            "    id     STRING,     \n" +
            "    pv          BIGINT,     \n" +
            "    uv          BIGINT,     \n" +
            "    PRIMARY KEY (id) NOT ENFORCED\n" +
            ") WITH (\n" +
            "  'connector' = 'upsert-kafka',\n" +
            "  'topic' = 'sink1_pvuv',\n" +
            "  'properties.bootstrap.servers' = '10.202.116.43:9092',\n" +
            "  'key.json.ignore-parse-errors' = 'true',\n" +
            "  'value.json.fail-on-missing-field' = 'false',\n" +
            //"  'scan.startup.mode' = 'latest-offset',\n" +
            "  'value.json.ignore-parse-errors' = 'true',\n" +
            "  'key.format' = 'json',\n" +
            "  'value.format' = 'json',\n" +
            "  'value.fields-include' = 'EXCEPT_KEY'\n" +
            ")");
    tEnv.executeSql("INSERT INTO sink1 SELECT * from soruce1");
    tEnv.executeSql("select * from sink1").print();
    tEnv.execute("test source");
}

}

append 模式 KafkaSoureTest10
12> (true,1,apple,null,null)
12> (false,1,apple,null,null)
12> (true,1,apple,1,liujie)
12> (true,1,apple9,1,liujie)
12> (true,1,apple9,1,zhangshan)
12> (true,1,apple,1,zhangshan)
12> (true,1,apple10,1,zhangshan)
12> (true,1,apple10,1,liujie)
12> (true,1,apple10,1,wangwu)
12> (true,1,apple9,1,wangwu)
12> (true,1,apple,1,wangwu)


{"productId":"1","name":"apple"}
{"productId":"1","name":"apple9"}
{"productId":"1","name":"apple10"}

{"goodsId":"1","userName":"liujie"}
{"goodsId":"1","userName":"zhangshan"}
{"goodsId":"1","userName":"wangwu"}

upsert 模式

{"productId":"2"} {"productId":"2","name":"apple"}
| +I | 2 | apple | (NULL) | (NULL) |
{"goodsId":"2"} {"goodsId":"2","userName":"name1"}
| -D | 2 | apple | (NULL) | (NULL) |
| +I | 2 | apple | 2 | name1 |
{"productId":"2"} {"productId":"2","name":"apple10"}
| -D | 2 | apple | 2 | name1 |
| +I | 2 | apple10 | 2 | name1 |
{"goodsId":"2"} {"goodsId":"2","userName":"name2"}
| -U | 2 | apple10 | 2 | name1 |
| +I | 2 | apple10 | (NULL) | (NULL) |
| -D | 2 | apple10 | (NULL) | (NULL) |
| +I | 2 | apple10 | 2 | name2 |
{"productId":"2"} {}
| -D | 2 | apple10 | 2 | name2 |
| +I | 2 | (NULL) | 2 | name2 |

相关文章

网友评论

      本文标题:flink upsert kafka sql

      本文链接:https://www.haomeiwen.com/subject/hrgilltx.html