使用 AWS Glue 與熔接

使用 Apache Flink 版本 6.15.0 及更高版本的 EKS 支援使用 AWS Glue 資料型錄做為串流和批次 SQL 工作流程的中繼資料存放區的 Amazon EMR。

您必須先建立一個名default為的 AWS Glue 資料庫，做為 Flink SQL 目錄。此 Flink 目錄存儲元數據，例如數據庫，表格，分區，視圖，函數以及其他訪問其他外部系統中的數據所需的信息。

aws glue create-database \
    --database-input "{\"Name\":\"default\"}" 

若要啟用 AWS Glue 支援，請使用FlinkDeployment規格。此範例規格使用 Python 指令碼快速發出一些 Flink SQL 陳述式，以便與 AWS Glue 目錄互動。

apiVersion: flink.apache.org/v1beta1
kind: FlinkDeployment
metadata:
  name: python-example
spec:
  flinkVersion: v1_17
  flinkConfiguration:
    taskmanager.numberOfTaskSlots: "1"
    aws.glue.enabled: "true"
  executionRoleArn: job-execution-role-arn;
  emrReleaseLabel: "emr-6.15.0-flink-latest"
  jobManager:
    highAvailabilityEnabled: false
    replicas: 1
    resource:
      memory: "2048m"
      cpu: 1
  taskManager:
    resource:
      memory: "2048m"
      cpu: 1
  job:
    jarURI: s3://<S3_bucket_with_your_script/pyflink-glue-script.py
    entryClass: "org.apache.flink.client.python.PythonDriver"
    args: ["-py", "/opt/flink/usrlib/pyflink-glue-script.py"] 
    parallelism: 1
    upgradeMode: stateless

以下是您的 PyFlink 指令碼可能看起來像的範例。

import logging
import sys
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.table import StreamTableEnvironment

def glue_demo():
    env = StreamExecutionEnvironment.get_execution_environment()
    t_env = StreamTableEnvironment.create(stream_execution_environment=env)
    t_env.execute_sql("""
          CREATE CATALOG glue_catalog WITH (
          'type' = 'hive',
          'default-database' = 'default',
          'hive-conf-dir' = '/glue/confs/hive/conf',
          'hadoop-conf-dir' = '/glue/confs/hadoop/conf'
          )
                      """)
    t_env.execute_sql("""
          USE CATALOG glue_catalog;
                      """)
    t_env.execute_sql("""
          DROP DATABASE IF EXISTS eks_flink_db CASCADE;
                      """)
    t_env.execute_sql("""
          CREATE DATABASE IF NOT EXISTS eks_flink_db WITH ('hive.database.location-uri'= 's3a://S3-bucket-to-store-metadata/flink/flink-glue-for-hive/warehouse/');
                      """)
    t_env.execute_sql("""
          USE eks_flink_db;
                  """)
    t_env.execute_sql("""
          CREATE TABLE IF NOT EXISTS eksglueorders (
            order_number BIGINT,
            price        DECIMAL(32,2),
            buyer        RO first_name STRING, last_name STRING,
            order_time   TIMESTAMP(3)
          ) WITH (
            'connector' = 'datagen'
          );
                      """)
    t_env.execute_sql("""
          CREATE TABLE IF NOT EXISTS eksdestglueorders (
            order_number BIGINT,
            price        DECIMAL(32,2),
            buyer        ROW first_name STRING, last_name STRING,
            order_time   TIMESTAMP(3)
          ) WITH (
            'connector' = 'filesystem',
            'path' = 's3://S3-bucket-to-store-metadata/flink/flink-glue-for-hive/warehouse/eksdestglueorders',
            'format' = 'json'
          );
                  """)
    t_env.execute_sql("""
          CREATE TABLE IF NOT EXISTS print_table (
            order_number BIGINT,
            price        DECIMAL(32,2),
            buyer        ROW first_name STRING, last_name STRING,
            order_time   TIMESTAMP(3)
          ) WITH (
            'connector' = 'print'
          );
                """)
    t_env.execute_sql("""
          EXECUTE STATEMENT SET
          BEGIN
          INSERT INTO eksdestglueorders SELECT * FROM  eksglueorders LIMIT 10;
          INSERT INTO print_table SELECT * FROM eksdestglueorders;
          END;
            """)


if __name__ == '__main__':
    logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")
    glue_demo()