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Google Webmaster
Introduction Implementation Summary Entities Work Flow Configuration Introduction The Google Search Console data ingestion project is to download query and analytics data f... -
DDL
Spark DDL To use Iceberg in Spark, first configure Spark catalogs . Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. CREATE TABLE Spark... -
Camus to Gobblin Migration
Advantages of Migrating to Gobblin Kafka Ingestion Related Job Config Properties Config properties for pulling Kafka topics Config properties for compaction Deployment and Chec... -
Predicate Functions
Exists(Property) Exists(Path) Predicates are boolean functions that return true or false for a given set of input. They are most commonly used to filter out subgraphs in the WHE... -
SKIP
Introduction Skip first three rows Return middle two rows Using an expression with SKIP to return a subset of the rows SKIP defines from which record to start including the r... -
EventMesh Stream
EventMesh Stream Overview of Event Streaming Requirements Functional Requirements Design Details Architecture Design EventMesh-Stream Component Event Event Channel Event End... -
Partitioning
Partitioning What is partitioning? Partitioning is a way to make queries faster by grouping similar rows together when writing. For example, queries for log entries from a logs ... -
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... -
Logarithmic Functions
e sqrt exp log log10 e e() returns the base of the natural logarithm, e. Syntax: e() Returns: An agtype float . Query SELECT * FROM cypher ( 'graph_name' , $$... -
EventMesh Runtime with Docker
EventMesh Runtime with Docker 1. Prerequisites 2. Pull the EventMesh Runtime Image 3. Mount Configuration Files 3.1 EventMesh Runtime Configuration 3.2 Event Store Configuration...
