FLINK 1.12 upsertSql怎么使用

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package com.konka.dsp;import org.apache.flink.api.common.JobExecutionResult;import org.apache.flink.api.common.restartstrategy.RestartStrategies;import org.apache.flink.api.java.DataSet;import org.apache.flink.api.java.ExecutionEnvironment;import org.apache.flink.api.java.tuple.Tuple2;import org.apache.flink.connector.jdbc.dialect.MySQLDialect;import org.apache.flink.connector.jdbc.internal.options.JdbcOptions;import org.apache.flink.connector.jdbc.table.JdbcUpsertTableSink;import org.apache.flink.formats.json.JsonFormatFactory;import org.apache.flink.formats.json.canal.CanalJsonFormatFactory;import org.apache.flink.shaded.curator4.org.apache.curator.framework.schema.Schema;import org.apache.flink.streaming.api.CheckpointingMode;import org.apache.flink.streaming.api.TimeCharacteristic;import org.apache.flink.streaming.api.datastream.DataStream;import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;import org.apache.flink.table.api.*;import org.apache.flink.table.api.bridge.java.BatchTableEnvironment;import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;import org.apache.flink.table.expressions.TimeIntervalUnit;import org.apache.flink.table.types.DataType;import org.apache.flink.types.Row;import org.apache.flink.util.CloseableIterator;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import java.time.Duration;import java.util.concurrent.ExecutionException;import static org.apache.flink.table.api.Expressions.*;public class SalesOrderStream {    private static Logger log = LoggerFactory.getLogger(SalesOrderStream.class.getName());    public static Table report(Table transactions) {        return transactions.select(                $("customer_name"),                $("created_date"),                $("total_amount"))                .groupBy($("customer_name"),$("created_date"))                .select(                        $("customer_name"),                        $("total_amount").sum().as("total_amount"),                        $("created_date")                        );    }    public static void main(String[] args) throws Exception {        StreamExecutionEnvironment env = StreamExecutionEnvironment                .getExecutionEnvironment();//        env.setParallelism(4);//        env.getConfig().setRestartStrategy(RestartStrategies.noRestart());        StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);     // set default parallelism to 4//        tEnv.executeSql("CREATE TABLE sales_order_header_stream (\n" +////                "   id  BIGINT not null,\n" +//                "    customer_name STRING,\n"+////                "    dsp_org_name STRING,\n"+//                "    total_amount      DECIMAL(38,2),\n" +////                "    total_discount      DECIMAL(16,2),\n" +////                "    pay_amount      DECIMAL(16,2),\n" +////                "    total_amount      DECIMAL(16,2),\n" +//                "    created_date TIMESTAMP(3)\n" +//                ") WITH (\n" +//                " 'connector' = 'mysql-cdc',\n" +//                " 'hostname' = '192.168.8.73',\n" +//                " 'port' = '4000',\n"+//                " 'username' = 'flink',\n"+//                " 'password' = 'flink',\n"+//                " 'database-name' = 'dspdev',\n"+//                " 'table-name' = 'sales_order_header'\n"+//                ")");        //pay_type,over_sell        tEnv.executeSql("CREATE TABLE sales_order_header_stream (\n" +                        " `id` BIGINT,\n"+                        " `total_amount` DECIMAL(16,2) ,\n"+                        " `customer_name` STRING,\n"+                        " `order_no` STRING,\n"+                        " `doc_type` STRING,\n"+                        " `sales_org` STRING,\n"+                        " `distr_chan` STRING,\n"+                        " `division` STRING,\n"+                        " `sales_grp` STRING,\n"+                        " `sales_off` STRING,\n"+                        " `purch_no_c` STRING,\n"+                        " `purch_date` STRING,\n"+                        " `sold_to` STRING,\n"+                        " `ship_to` STRING,\n"+                        " `r3_sales_order` STRING,\n"+                        " `created_by_employee_name` STRING,\n"+                        " `created_by_dept_name` STRING,\n"+                        " `created_by_dept_name` STRING,\n"+                        " `is_enable` BIGINT,\n"+                        " `is_delete` BIGINT,\n"+                        " `sale_order_status` STRING,\n"+                        " `created_by_parent_dept_name` STRING,\n"+                        " `total_discount` DECIMAL(16,2),\n"+                        " `customer_sapcode` STRING,\n"+                        " `sold_to_name` STRING,\n"+                        " `ship_to_name` STRING,\n"+                        " `total_discount_amount` DECIMAL(16,2),\n"+                        " `other_discount` DECIMAL(16,2),\n"+                        " `other_amount` DECIMAL(16,2),\n"+                        " `pay_amount` DECIMAL(16,2),\n"+                        " `dsp_org_name` STRING,\n"+                        " `delivery_address` STRING,\n"+                        " `delivery_person` STRING,\n"+                        " `delivery_phone` STRING,\n"+                        " `pay_type` STRING,\n"+                        " `over_sell` STRING,\n"+                        " `created_date` TIMESTAMP(3),\n"+                        " PRIMARY KEY (`id`) NOT ENFORCED "+                ") WITH (\n" +                "'connector' = 'kafka',\n"+                "'topic' = 'canal-data',\n"+                "'properties.bootstrap.servers' = '192.168.8.71:9092',\n"+                "'properties.group.id' = 'test',\n"+                "'format' = 'canal-json'\n"+                ")");//        tEnv.executeSql("CREATE TABLE total_day_report (\n" +//                "    customer_name STRING,\n" +////                "    total_amount    DECIMAL(16,2),\n" +////                "    total_discount  DECIMAL(16,2),\n" +////                "    pay_amount      DECIMAL(16,2),\n" +//                "    total_amount    DECIMAL(16,2),\n" +//                "    created_date STRING,\n" +//                "    PRIMARY KEY (created_date) NOT ENFORCED" +//                ") WITH (\n" +//                "  'connector' = 'upsert-kafka',\n" +//                "  'topic' = 'customer_amount',\n" +//                "  'properties.bootstrap.servers' = '192.168.8.71:9092',\n"+//                "  'key.format' = 'json',\n"+//                "  'value.format' = 'json',\n"+//                "  'value.fields-include' = 'ALL'\n"+//                ")");        tEnv.executeSql("CREATE TABLE upsertSink (\n" +                "    customer_name STRING,\n" +//                "    total_amount    DECIMAL(16,2),\n" +//                "    total_discount  DECIMAL(16,2),\n" +//                "    pay_amount      DECIMAL(16,2),\n" +                "    total_amount    DECIMAL(16,2),\n" +                "    created_date STRING,\n" +                "    PRIMARY KEY (customer_name,created_date) NOT ENFORCED" +                ") WITH (\n" +                        "  'connector' = 'tidb',\n" +                        "  'tidb.database.url' = 'jdbc:mysql://192.168.8.73:4000/dspdev',\n" +                        "  'tidb.username' = 'flink',\n"+                        "  'tidb.password' = 'flink',\n"+                        "  'tidb.database.name' = 'dspdev',\n"+                        "  'tidb.table.name' = 'spend_report'\n"+//                "  'connector.type'='jdbc'," +//                "  'connector.url'='jdbc:mysql://192.168.8.73:4000/dspdev',\n" +//                "  'connector.username' = 'flink',\n"+//                "  'connector.password' = 'flink',\n"+//                "  'connector.table' = 'spend_report'" +                ")");//        TableSchema tableSche = TableSchema.builder()//                .field("customer_name",DataTypes.STRING().notNull())//                .field("total_amount",DataTypes.DECIMAL(16,2))//                .field("created_date",DataTypes.STRING().notNull()).build();////        JdbcOptions jdbcOptions = JdbcOptions.builder()//                .setDBUrl("jdbc:mysql://192.168.8.73:4000/dspdev")//                .setTableName("spend_report")//                .setUsername("flink")//                .setPassword("flink")//                .setDialect(new MySQLDialect())//                .setDriverName("com.mysql.jdbc.Driver")//                .build();//        JdbcUpsertTableSink jdbcUpsertTableSink = JdbcUpsertTableSink.builder()//                .setTableSchema(tableSche)//                .setOptions(jdbcOptions)//                .build();//        jdbcUpsertTableSink.setKeyFields(new String[]{"id"});        /**         * SINK End         *///        tEnv.re("spend_report",jdbcUpsertTableSink);        Table transactions = tEnv.from("sales_order_header_stream");//      tEnv.executeSql("delete from total_day_report");       tEnv.executeSql("insert into upsertSink select dsp_org_name as customer_name,cast(sum(t.pay_amount) as decimal(16,2)) as amount,DATE_FORMAT(t.created_date,'yyyy-MM-dd') as created_date from sales_order_header_stream t group by DATE_FORMAT(t.created_date,'yyyy-MM-dd'),dsp_org_name").print();//      tEnv.executeSql("insert into spend_report select * from total_day_report");//      Table transactions = tEnv.from("total_day_report");//      report(transactions).executeInsert("spend_report");        tEnv.execute("-----------");    }}

最后数据库结果如下:

每次都是更新替换，这样的话省去很多麻烦，不用转datastream在处理了，而且1.12支持upsert-kafka，最后数据叠加如下:

upsert-kafka上面已经体现

感谢各位的阅读，以上就是"FLINK 1.12 upsertSql怎么使用"的内容了，经过本文的学习后，相信大家对FLINK 1.12 upsertSql怎么使用这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是，小编将为大家推送更多相关知识点的文章，欢迎关注！