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Queries
Querying with SQL Querying with DataFrames Catalogs with DataFrameReader Time travel SQL DataFrame Incremental read Inspecting tables History Metadata Log Entries Snapshot... -
Using Tables
Create table Configure LogStore Configure watermark Modify table Upgrade a Hive table Configure self-optimizing Modify optimizer group Adjust optimizing resources Adjust opt... -
JDOQL
JDOQL Single-String JDOQL Accessing Fields Data types : literals Operators precedence Concatenation Expressions Example 1 - Use of Explicit Parameters Example 2 - Use of Impl... -
Unity Catalog
Syncing to Unity Catalog Pre-requisites Steps Running sync Register the target table in Unity Catalog Validating the results Conclusion Syncing to Unity Catalog This docum... -
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... -
Timezones
There are four distinct timezone components which relate to Apache Superset, The timezone that the underlying data is encoded in. The timezone of the database engine. The timezo... -
DB2
Support Those Engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Supported DataSource Info Database Dependency Data Type Map... -
Table Watermark
Table freshness Table watermark Table freshness Data freshness represents timeliness, and in many discussions, freshness is considered one of the important indicators of data q... -
BigLake Metastore
Pre-requisites Steps Create BigLake Catalog Create BigLake Database Running sync Validating the results Conclusion This document walks through the steps to register a OneTa... -
MATCH
Basic vertex finding Get all Vertices Get all vertices with a label Related Vertices Match with labels Edge basics Outgoing Edges Directed Edges and variable Match on edge l...
