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...
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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...
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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...
Using Gobblin as a Library Creating an Embedded Gobblin instance Configuring Embedded Gobblin Running Embedded Gobblin Extending Embedded Gobblin Using Gobblin as a Library ...
Introduction Record format Configuration General configuration values Authentication No credentials Using certificates Using bucket password Document level expiration 1 - Ex...
Daft Daft is a distributed query engine written in Python and Rust, two fast-growing ecosystems in the data engineering and machine learning industry. It exposes its flavor of t...
How Hive Registration Works in Gobblin HiveSpec HiveRegistrationPolicy HiveSerDeManager Predicate and Activity How to Use Hive Registration in Your Gobblin Job Hive Regist...