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JDBC
Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Options driver [string] user [string] password [string] url [string] query [stri... -
Kafka
Support Those Engines Key Features Description Supported DataSource Info Sink Options Parameter Interpretation Topic Formats Semantics Partition Key Fields Assign Partition... -
PersistenceManagerFactory
Standard JDO Properties Any JDO-enabled application will require (at least) one PersistenceManagerFactory. Typically applications create one per datastore being utilised. A Persi... -
Java Quickstart
Create a table Using a Hive catalog Using a Hadoop catalog Branching and Tagging Creating branches and tags Committing to branches Reading from branches and tags Replacing an... -
List
all any append concat drop zipWith zip xprod uniq filter find flatten head indexOf join lastIndexOf map nth pluck prepend range reduce reduceRight reject re... -
Flink Getting Started
Preparation when using Flink SQL Client Flink’s Python API Adding catalogs. Catalog Configuration Hive catalog Creating a table Writing Branch Writes Reading Type conversi... -
SQL Server
Support SQL Server Version Support Those Engines Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Description Supported DataSource Info Databa... -
Setup Options
More Information The following options are frequently used for Ambari Server setup. -j (or —java-home) Specifies the JAVA_HOME path to use on the Ambari Server and all hosts i... -
Creating your first interoperable table
Pre-requisites Steps Initialize a pyspark shell Create dataset Running sync Conclusion Next steps Using OneTable to sync your source tables in different target format invo... -
OssFile
Support Those Engines Usage Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key features Data Type Mapping Orc File Type Parquet File Type Options path [string]...