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Iceberg
Iceberg Integration Dependencies Configurations Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines in... -
Marker Mechanism
Purpose of Markers Marker structure Marker Writing Options Direct Write Markers Timeline Server Markers (Default) Marker Configuration Parameters Purpose of Markers A write... -
deployment
Step 1: Prepare the environment Step 2: Download SeaTunnel Step 3: Install connectors plugin What’s More Step 1: Prepare the environment Before you getting start the local ru... -
Hive
Description Key features Options table_name [string] metastore_uri [string] hdfs_site_path [string] read_partitions [list] krb5_path [string] kerberos_principal [string] ke... -
AWS S3
AWS configs AWS Credentials AWS Libs AWS S3 Versioned Bucket In this page, we explain how to get your Hudi spark job to store into AWS S3. AWS configs There are two configur... -
Nessie
Iceberg Nessie Integration Iceberg provides integration with Nessie through the iceberg-nessie module. This section describes how to use Iceberg with Nessie. Nessie provides seve... -
RocketMQ
Support Apache RocketMQ Version Support These Engines Key Features Description Sink Options partition.key.fields [array] Task Example Fake to Rocketmq Simple Rocketmq To Roc... -
Gobblin on Yarn
Introduction Architecture Overview The Role of Apache Helix Gobblin Yarn Application Launcher YarnAppSecurityManager LogCopier Gobblin ApplicationMaster YarnService GobblinH... -
INFINI Easysearch
Support Those Engines Description Using Dependency Key features Data Type Mapping Sink Options hosts [array] index [string] primary_keys [list] key_delimiter [string] user... -
AWS Glue Data Catalog
Configurations Avoid creating excessive versions Glue Data Catalog specific configs Other references Running AWS Glue Catalog Sync for Spark DataSource Running AWS Glue Catalog...
