Spark Writes To use Iceberg in Spark, first configure Spark catalogs . Some plans are only available when using Iceberg SQL extensions in Spark 3. Iceberg uses Apache Spark’s D...
Flink Queries Iceberg support streaming and batch read With Apache Flink ‘s DataStream API and Table API. Reading with SQL Iceberg support both streaming and batch read in Flink...
One natural way of organizing parallel sections in an HTML report is to use tabsets. This allows readers to view the content of different sections by clicking the tab titles inste...
About GitHub CLI What’s the difference between GitHub CLI and Git on the command line? Installing GitHub CLI Sharing feedback About GitHub CLI GitHub CLI is an open source t...
Documentation Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala u...
Spark Structured Streaming Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support...
Kyuubi v.s. HiveServer2 Introduction Hive on Spark Differences Between Kyuubi and HiveServer2 Performance References Kyuubi v.s. HiveServer2 Introduction HiveServer2 is a ...