match split trim replace toLower toUpper test toString match RegExp → String → [String | Undefined] Parameters rxA regular expression. strThe string to match against...
Iceberg tables support the following types: Type Description Notes boolean True or false int 32-bit signed integers Can promote to long long 64-bit s...
match split trim replace toLower toUpper test toString match RegExp → String → [String | Undefined] Parameters rxA regular expression. strThe string to match against...
Iceberg Java API Tables The main purpose of the Iceberg API is to manage table metadata, like schema, partition spec, metadata, and data files that store table data. Table metad...
Description Key features Options service_account_key [string] sheet_id [string] sheet_name [string] range [string] schema [config] fields [config] Example Changelog next ...
Spark Configuration Catalogs Spark adds an API to plug in table catalogs that are used to load, create, and manage Iceberg tables. Spark catalogs are configured by setting Spark ...
Hive Connector Integration Dependencies Configurations Hive Connector Operations The Kyuubi Hive Connector is a datasource for both reading and writing Hive table, It is imple...
match split trim replace toLower toUpper test toString match RegExp → String → [String | Undefined] Parameters rxA regular expression. strThe string to match against...
Object holder Java implementation of Redis or Valkey based RBucket object is a holder for any type of object. Size is limited to 512Mb. Code example: RBucket < AnyObject > buc...
Branching and Tagging Overview Iceberg table metadata maintains a snapshot log, which represents the changes applied to a table. Snapshots are fundamental in Iceberg as they are ...