-
Couchbase
Introduction Record format Configuration General configuration values Authentication No credentials Using certificates Using bucket password Document level expiration 1 - Ex... -
EventMesh Workflow
EventMesh Workflow Business Problem CNCF Serverless Workflow EventMesh Workflow AsyncAPI Workflow Example EventMesh Workflow Engine EventMesh Catalog Design EventMesh Workflo... -
CloudEvents Integration
CloudEvents Integration Introduction Requirements Functional Requirements Performance Requirements Design Details Pluggable Protocols Process of CloudEvents under EventMesh Fo... -
Code Style Guide
Overview Guideline Code Style Template File Overview The code formatting standard in this project is based on the Oracle/Sun Code Convention and Google Java Style . Guide... -
Apache Spark
Querying from Apache Spark To read an Apache XTable™ (Incubating) synced target table (regardless of the table format) in Apache Spark locally or on services like Amazon EMR, Goog... -
Evolution
Evolution Iceberg supports in-place table evolution . You can evolve a table schema just like SQL — even in nested structures — or change partition layout when data volume chang... -
Deployment
Gobblin Execution Modes Overview One important feature of Gobblin is that it can be run on different platforms. Currently, Gobblin can run in standalone mode (which runs on a sing... -
EventMesh Stream
EventMesh Stream Overview of Event Streaming Requirements Functional Requirements Design Details Architecture Design EventMesh-Stream Component Event Event Channel Event End... -
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... -
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...
