Herstellen einer Verbindung mit Datenkatalog über eine eigenständige Spark-Anwendung

Erstellen Sie eine IAM-Rolle für die Spark-Anwendung.

Stellen Sie mithilfe des Iceberg-Connectors eine Verbindung zum REST-Endpunkt von AWS Glue Iceberg her.

# configure your application. Refer to https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-envvars.html for best practices on configuring environment variables.
export AWS_ACCESS_KEY_ID=$(aws configure get appUser.aws_access_key_id)
export AWS_SECRET_ACCESS_KEY=$(aws configure get appUser.aws_secret_access_key)
export AWS_SESSION_TOKEN=$(aws configure get appUser.aws_secret_token)

export AWS_REGION=us-east-1
export REGION=us-east-1
export AWS_ACCOUNT_ID = {specify your aws account id here}

~/spark-3.5.3-bin-hadoop3/bin/spark-shell \
    --packages org.apache.iceberg:iceberg-spark-runtime-3.4_2.12:1.6.0 \
    --conf "spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions" \
    --conf "spark.sql.defaultCatalog=spark_catalog" \
    --conf "spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkCatalog" \
    --conf "spark.sql.catalog.spark_catalog.type=rest" \
    --conf "spark.sql.catalog.spark_catalog.uri=https://glue.us-east-1.amazonaws.com/iceberg" \
    --conf "spark.sql.catalog.spark_catalog.warehouse = {AWS_ACCOUNT_ID}" \
    --conf "spark.sql.catalog.spark_catalog.rest.sigv4-enabled=true" \
    --conf "spark.sql.catalog.spark_catalog.rest.signing-name=glue" \
    --conf "spark.sql.catalog.spark_catalog.rest.signing-region=us-east-1" \
    --conf "spark.sql.catalog.spark_catalog.io-impl=org.apache.iceberg.aws.s3.S3FileIO" \
    --conf "spark.hadoop.fs.s3a.aws.credentials.provider=org.apache.hadoop.fs.s3a.SimpleAWSCredentialProvider"
        

Fragen Sie die Daten im Datenkatalog ab.

spark.sql("create database myicebergdb").show()
spark.sql("""CREATE TABLE myicebergdb.mytbl (name string) USING iceberg location 's3://bucket_name/mytbl'""")
spark.sql("insert into myicebergdb.mytbl values('demo') ").show()