基于Apache Hudi在Google云构建数据湖平台的思路详解

version: '2'
services:
  ZooKeeper:
    image: debezium/zookeeper:${DEBEZIUM_VERSION}
    ports:
     - 2181:2181
     - 2888:2888
     - 3888:3888
  kafka:
    image: debezium/kafka:${DEBEZIUM_VERSION}
    ports:
     - 9092:9092
    links:
     - zookeeper
    environment:
     - ZOOKEEPER_CONNECT=zookeeper:2181
  mysql:
    image: debezium/example-mysql:${DEBEZIUM_VERSION}
    ports:
     - 3307:3306
    environment:
     - MYSQL_ROOT_PASSWord=${MYSQL_ROOT_PASS}
     - MYSQL_USER=${MYSQL_USER}
     - MYSQL_PASSWORD=${MYSQL_USER_PASS}
  schema-reGIStry:
    image: confluentinc/cp-schema-registry
    ports:
     - 8181:8181
     - 8081:8081
    environment:
     - SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS=kafka:9092
     - SCHEMA_REGISTRY_KAFKASTORE_CONNECTION_URL=zookeeper:2181
     - SCHEMA_REGISTRY_HOST_NAME=schema-registry
     - SCHEMA_REGISTRY_LISTENERS=Http://schema-registry:8081
    links:
     - zookeeper
  connect:
    image: debezium/connect:${DEBEZIUM_VERSION}
    ports:
     - 8083:8083
    links:
     - kafka
     - mysql
     - schema-registry
    environment:
     - BOOTSTRAP_SERVERS=kafka:9092
     - GROUP_ID=1
     - CONFIG_STORAGE_TOPIC=my_connect_configs
     - OFFSET_STORAGE_TOPIC=my_connect_offsets
     - STATUS_STORAGE_TOPIC=my_connect_statuses
     - KEY_CONVERTER=io.confluent.connect.avro.AvroConverter
     - VALUE_CONVERTER=io.confluent.connect.avro.AvroConverter
     - INTERNAL_KEY_CONVERTER=org.apache.kafka.connect.JSON.jsonConverter
     - INTERNAL_VALUE_CONVERTER=org.apache.kafka.connect.json.JsonConverter
     - CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL=http://schema-registry:8081
     - CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL=http://schema-registry:8081

docker-compose -f docker-compose-avro-mysql.yaml exec mysql bash -c 'mysql -u $MYSQL_USER -p$MYSQL_PASSWORD inventory'

{
    "name": "inventory-connector",
    "config": {
        "connector.class": "io.debezium.connector.mysql.MySqlConnector",
        "tasks.max": "1",
        "database.hostname": "mysql",
        "database.port": "3306",
        "database.user": "MYSQL_USER",
        "database.password": "MYSQL_PASSWORD",
        "database.server.id": "184054",
        "database.server.name": "dbserver1",
        "database.include.list": "inventory",
        "database.history.kafka.bootstrap.servers": "kafka:9092",
        "database.history.kafka.topic": "schema-changes.inventory",
        "key.converter": "io.confluent.connect.avro.AvroConverter",
        "value.converter": "io.confluent.connect.avro.AvroConverter",
        "key.converter.schema.registry.url": "http://schema-registry:8081",
        "value.converter.schema.registry.url": "http://schema-registry:8081"
    }
}

curl -i -X POST -H "Accept:application/json" -H "Content-type:application/json" http://localhost:8083/connectors/ -d @register-mysql.json

spark-submit \
  --packages org.apache.hudi:hudi-spark3.1.2-bundle_2.12:0.10.1,org.apache.spark:spark-avro_2.12:3.1.2 \
  --master yarn --deploy-mode client \
  --class org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer /usr/lib/hadoop/hudi-packages/hudi-utilities-bundle_2.12-0.10.1.jar \
  --table-type COPY_ON_WRITE --op UPSERT \
  --target-base-path gs://your-data-lake-bucket/hudi/customers \
  --target-table hudi_customers --continuous \
  --min-sync-interval-seconds 60 \
  --source-class org.apache.hudi.utilities.sources.debezium.MysqlDebeziumSource \
  --source-ordering-field _event_origin_ts_ms \
  --hoodie-conf schema.registry.url=http://localhost:8081 \
  --hoodie-conf hoodie.deltastreamer.schemaprovider.registry.url=http://localhost:8081/subjects/dbserver1.inventory.customers-value/versions/latest \
  --hoodie-conf hoodie.deltastreamer.source.kafka.topic=dbserver1.inventory.customers \
  --hoodie-conf bootstrap.servers=localhost:9092 \
  --hoodie-conf auto.offset.reset=earliest \
  --hoodie-conf hoodie.datasource.write.recordkey.field=id \
  --hoodie-conf hoodie.datasource.write.partitionpath.field=id \