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Flink DDL
DDL commands CREATE Catalog Hive catalog This creates an Iceberg catalog named hive_catalog that can be configured using 'catalog-type'='hive' , which loads tables from Hive m... -
Client-Side Caching
Native implementation Client Side caching is implemented using client tracking listener through RESP3 protocol available in Redis or Valkey. It’s used to speed up read operation... -
Queries
Spark Queries To use Iceberg in Spark, first configure Spark catalogs . Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Querying with S... -
Tencent Cloud
Tencent Cloud COS configs Tencent Cloud COS Credentials Tencent Cloud COS Libs In this page, we explain how to get your Hudi spark job to store into Tencent Cloud COS. Tencen... -
Configure SAM and Schema Registry Metadata Stores in Postgres
About This Task Steps About This Task If you have already installed MySQL and configured SAM and Schema Registry metadata stores using MySQL, you do not need to configure addit... -
Baidu Cloud
Baidu BOS configs Baidu BOS Credentials Baidu bos Libs In this page, we explain how to get your Hudi job to store into Baidu BOS. Baidu BOS configs There are two configuratio... -
Configure SAM and Schema Registry Metadata Stores in Postgres
About This Task Steps About This Task If you have already installed MySQL and configured SAM and Schema Registry metadata stores using MySQL, you do not need to configure addi... -
Google BigQuery
Querying from Google BigQuery Iceberg tables To read an Apache XTable™ (Incubating) synced Iceberg table from BigQuery , you have two options: Using Iceberg JSON metadata file ... -
StarRocks
Querying from StarRocks StarRocks allows you to query table formats like Hudi, Delta and Iceberg tables using our external catalog feature. Users do not need additional configura... -
Docker Demo
Building interoperable tables using Apache XTable™ (Incubating) This demo walks you through a fictional use case and the steps to add interoperability between table formats using ...
