Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.
Anda dapat terhubung ke Katalog Data dari aplikasi stand menggunakan konektor Apache Iceberg.
Buat peran IAM untuk aplikasi Spark.
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Connect ke endpoint AWS Glue Iceberg Rest menggunakan konektor Iceberg.
# 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"
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Kueri data dalam Katalog Data.
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()