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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 ... -
Iceberg
Iceberg format refers to Apache Iceberg table, which is an open table format for large analytical datasets designed to provide scalable, efficient, and secure data storage and qu... -
Procedures
Spark Procedures To use Iceberg in Spark, first configure Spark catalogs . Stored procedures are only available when using Iceberg SQL extensions in Spark 3. Usage Procedures c... -
Elasticsearch
Description Key features Options hosts [array] username [string] password [string] index [string] source [array] array_column [array] query [json] scroll_time [String] sc... -
4. Kyuubi High Availability Guide
Kyuubi High Availability Guide Load Balance Mode Configuring High Availability Kyuubi High Availability Guide As an enterprise-class ad-hoc SQL query service built on top of A... -
Queries
Querying with SQL Querying with DataFrames Catalogs with DataFrameReader Time travel SQL DataFrame Incremental read Inspecting tables History Metadata Log Entries Snapshot... -
Glue Data Catalog
Syncing to Glue Data Catalog Pre-requisites Steps Running sync Register the target table in Glue Data Catalog Validating the results Conclusion Syncing to Glue Data Catalo... -
Object Retrieval
Retrieve an object from its identity Retrieve an object based on its Extent Retrieve an object based on a query criteria Any application will require access to persisted object... -
Aggregation
Introduction Data Setup Auto Group By Sorting on aggregate functions Distinct aggregation Ambiguous Grouping Statements Invalid Query in AGE Valid Query in AGE Vertices and ... -
Creating your first interoperable table
Creating your first interoperable table Using Apache XTable™ (Incubating) to sync your source tables in different target format involves running sync on your current dataset usi...
