Realtime Compute for Apache Flink:Hudi (sedang dipensiunkan)

Parameter dasar

Parameter umum

Parameter tabel sumber

Sink Table Parameters

Parameter lanjutan

Tabel sumber

CREATE TEMPORARY TABLE blackhole (
  id INT NOT NULL PRIMARY KEY NOT ENFORCED,
  data STRING,
  ts TIMESTAMP(3)
) WITH (
  'connector' = 'blackhole'
);

CREATE TEMPORARY TABLE hudi_tbl (
  id INT NOT NULL PRIMARY KEY NOT ENFORCED,
  data STRING,
  ts TIMESTAMP(3)
) WITH (
  'connector' = 'hudi',
  'oss.endpoint' = '<yourOSSEndpoint>',
  'accessKeyId' = '${secret_values.ak_id}',
  'accessKeySecret' = '${secret_values.ak_secret}',
  'path' = 'oss://<yourOSSBucket>/<Custom storage directory>',
  'table.type' = 'MERGE_ON_READ',
  'read.streaming.enabled' = 'true'
);

-- Baca dari commit terbaru dalam mode streaming dan tulis ke Blackhole.
INSERT INTO blackhole SELECT * FROM hudi_tbl;

Tabel sink

CREATE TEMPORARY TABLE datagen (
  id INT NOT NULL PRIMARY KEY NOT ENFORCED,
  data STRING,
  ts TIMESTAMP(3)
) WITH (
  'connector' = 'datagen',
  'rows-per-second' = '100'
);

CREATE TEMPORARY TABLE hudi_tbl (
  id INT NOT NULL PRIMARY KEY NOT ENFORCED,
  data STRING,
  ts TIMESTAMP(3)
) WITH (
  'connector' = 'hudi',
  'oss.endpoint' = '<yourOSSEndpoint>',
  'accessKeyId' = '${secret_values.ak_id}',
  'accessKeySecret' = '${secret_values.ak_secret}',
  'path' = 'oss://<yourOSSBucket>/<Custom storage directory>',
  'table.type' = 'MERGE_ON_READ'
);

INSERT INTO hudi_tbl SELECT * FROM datagen;

Dependensi Maven

Sesuaikan versi dependensi dengan versi VVR Anda.

<properties>
  <maven.compiler.source>8</maven.compiler.source>
  <maven.compiler.target>8</maven.compiler.target>
  <flink.version>1.15.4</flink.version>
  <hudi.version>0.13.1</hudi.version>
</properties>

<dependencies>
  <!-- Flink -->
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-streaming-java</artifactId>
    <version>${flink.version}</version>
    <scope>provided</scope>
  </dependency>
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-table-common</artifactId>
    <version>${flink.version}</version>
    <scope>provided</scope>
  </dependency>
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-table-api-java-bridge</artifactId>
    <version>${flink.version}</version>
    <scope>provided</scope>
  </dependency>
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-table-planner_2.12</artifactId>
    <version>${flink.version}</version>
    <scope>provided</scope>
  </dependency>
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-clients</artifactId>
    <version>${flink.version}</version>
    <scope>provided</scope>
  </dependency>

  <!-- Hudi -->
  <dependency>
    <groupId>org.apache.hudi</groupId>
    <artifactId>hudi-flink1.15-bundle</artifactId>
    <version>${hudi.version}</version>
    <scope>provided</scope>
  </dependency>

  <!-- OSS -->
  <dependency>
    <groupId>org.apache.hadoop</groupId>
    <artifactId>hadoop-common</artifactId>
    <version>3.3.2</version>
    <scope>provided</scope>
  </dependency>
  <dependency>
    <groupId>org.apache.hadoop</groupId>
    <artifactId>hadoop-aliyun</artifactId>
    <version>3.3.2</version>
    <scope>provided</scope>
  </dependency>

  <!-- DLF -->
  <dependency>
    <groupId>com.aliyun.datalake</groupId>
    <artifactId>metastore-client-hive2</artifactId>
    <version>0.2.14</version>
    <scope>provided</scope>
  </dependency>
  <dependency>
    <groupId>org.apache.hadoop</groupId>
    <artifactId>hadoop-mapreduce-client-core</artifactId>
    <version>2.5.1</version>
    <scope>provided</scope>
  </dependency>
</dependencies>

Menulis data ke Hudi

Contoh berikut menulis data ke tabel Hudi MOR di OSS dan secara opsional menyinkronkan metadata ke DLF.

import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.data.GenericRowData;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.data.StringData;
import org.apache.hudi.common.model.HoodieTableType;
import org.apache.hudi.configuration.FlinkOptions;
import org.apache.hudi.util.HoodiePipeline;

import java.util.HashMap;
import java.util.Map;

public class FlinkHudiQuickStart {

  public static void main(String[] args) throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

    String dbName = "test_db";
    String tableName = "test_tbl";
    String basePath = "oss://xxx";

    Map<String, String> options = new HashMap<>();

    // Konfigurasi Hudi
    options.put(FlinkOptions.PATH.key(), basePath);
    options.put(FlinkOptions.TABLE_TYPE.key(), HoodieTableType.MERGE_ON_READ.name());
    options.put(FlinkOptions.PRECOMBINE_FIELD.key(), "ts");
    options.put(FlinkOptions.DATABASE_NAME.key(), dbName);
    options.put(FlinkOptions.TABLE_NAME.key(), tableName);

    // Konfigurasi OSS
    // Gunakan endpoint publik untuk debugging lokal (misalnya, oss-cn-hangzhou.aliyuncs.com)
    // Gunakan endpoint internal untuk pengiriman kluster (misalnya, oss-cn-hangzhou-internal.aliyuncs.com)
    options.put("hadoop.fs.oss.accessKeyId", "xxx");
    options.put("hadoop.fs.oss.accessKeySecret", "xxx");
    options.put("hadoop.fs.oss.endpoint", "xxx");
    options.put("hadoop.fs.AbstractFileSystem.oss.impl", "org.apache.hadoop.fs.aliyun.oss.OSS");
    options.put("hadoop.fs.oss.impl", "org.apache.hadoop.fs.aliyun.oss.AliyunOSSFileSystem");

    // Konfigurasi DLF (opsional — hapus jika tidak menyinkronkan ke DLF)
    // Gunakan endpoint publik untuk debugging lokal (misalnya, dlf.cn-hangzhou.aliyuncs.com)
    // Gunakan endpoint VPC untuk pengiriman kluster (misalnya, dlf-vpc.cn-hangzhou.aliyuncs.com)
    options.put(FlinkOptions.HIVE_SYNC_ENABLED.key(), "true");
    options.put(FlinkOptions.HIVE_SYNC_MODE.key(), "hms");
    options.put(FlinkOptions.HIVE_SYNC_DB.key(), dbName);
    options.put(FlinkOptions.HIVE_SYNC_TABLE.key(), tableName);
    options.put("hadoop.dlf.catalog.id", "xxx");
    options.put("hadoop.dlf.catalog.accessKeyId", "xxx");
    options.put("hadoop.dlf.catalog.accessKeySecret", "xxx");
    options.put("hadoop.dlf.catalog.region", "xxx");
    options.put("hadoop.dlf.catalog.endpoint", "xxx");
    options.put("hadoop.hive.imetastoreclient.factory.class",
        "com.aliyun.datalake.metastore.hive2.DlfMetaStoreClientFactory");

    DataStream<RowData> dataStream = env.fromElements(
        GenericRowData.of(StringData.fromString("id1"), StringData.fromString("name1"), 22,
            StringData.fromString("1001"), StringData.fromString("p1")),
        GenericRowData.of(StringData.fromString("id2"), StringData.fromString("name2"), 32,
            StringData.fromString("1002"), StringData.fromString("p2"))
    );

    HoodiePipeline.Builder builder = HoodiePipeline.builder(tableName)
        .column("uuid string")
        .column("name string")
        .column("age int")
        .column("ts string")
        .column("`partition` string")
        .pk("uuid")
        .partition("partition")
        .options(options);

    // Parameter kedua: apakah aliran input dibatasi (true = batch, false = streaming)
    builder.sink(dataStream, false);
    env.execute("Flink_Hudi_Quick_Start");
  }
}