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PyHive
Requirements Usage DB-API Use PyHive with Pandas Authentication PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuub... -
Schema Evolution
Schema Evolution on Write Type Promotions Schema Evolution on read Adding Columns Altering Columns Deleting Columns Renaming columns Schema Evolution in Action Related Reso... -
Clickhouse
Support Those Engines Key Features Description Supported DataSource Info Data Type Mapping Source Options How to Create a Clickhouse Data Synchronization Jobs Tips Clickh... -
3. Getting Started With Hive Beeline
Getting Started With Hive Beeline Getting Beeline Getting Started With Hive Beeline Getting Beeline $ bin / beeline -- help Usage : java org . apache . hive . cli... -
Timeline
Actions States Active and Archived timeline LSM Timeline Archival Configs Spark write client configs Flink Options At its core, Hudi maintains a timeline which is a log of... -
Utility
_.attempt(func) Arguments Returns Example .callback([func=.identity], [thisArg]) Aliases Arguments Returns Example _.constant(value) Arguments Returns Example _.identi... -
Trino
Iceberg format Paimon format Mixed format Install Support SQL statement Query Table Query BaseStore of Table Query ChangeStore of Table Trino and Amoro Type Mapping: Trino ... -
Kingbase
Support Connector Version Support Those Engines Key Features Description Supported DataSource Info Database Dependency Data Type Mapping Sink Options Tips Task Example Sim... -
Queries
Querying with SQL Querying with DataFrames Catalogs with DataFrameReader Time travel SQL DataFrame Incremental read Inspecting tables History Metadata Log Entries Snapshot... -
IoTDB
Support Those Engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key features Supported DataSource Info Data Type Mapping Source Options ...
