在 Flink Amazon 中使用 Glue

带有 Apache Flink 版本 6.15.0 及更高版本的 EKS 上的 Amazon EMR 支持使用 G Amazon lue 数据目录作为流式处理和批处理 SQL 工作流程的元数据存储。

你必须先创建一个名为 Gl Amazon ue 的数据库default，用作你的 Flink SQL 目录。此 Flink Catalog 存储元数据，例如数据库、表、分区、视图、函数以及访问其他外部系统中的数据所需的其他信息。

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

要启用 Amazon Glue 支持，请使用FlinkDeployment规范。此示例规范使用 Python 脚本快速发出一些 Flink SQL 语句来与 Amazon Glue 目录进行交互。

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 脚本可能的样子示例。

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()