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Flink Connector
Flink Connector Apache Flink supports creating Iceberg table directly without creating the explicit Flink catalog in Flink SQL. That means we can just create an iceberg table by s... -
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... -
Query based
Introduction Constructs QueryBasedSource QueryBasedExtractor build readRecord Configuration Introduction QueryBasedSource represents a category of sources whose data... -
Hive Registration
How Hive Registration Works in Gobblin HiveSpec HiveRegistrationPolicy HiveSerDeManager Predicate and Activity How to Use Hive Registration in Your Gobblin Job Hive Regist... -
Hive Distcp
Introduction Configure Hive Distcp Job Source and target metastores Database and tables to copy Target path computation Conflicting table and partitions treatment Deregisterin... -
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... -
Commands mapping
Redis or Valkey command Sync / Async APIRedisson.create(config) Reactive APIredisson.reactive() RxJava3 APIredisson.rxJava() AUTH Config.setPassword() - - APPEND ... -
JDBC
Iceberg JDBC Integration JDBC Catalog Iceberg supports using a table in a relational database to manage Iceberg tables through JDBC. The database that JDBC connects to must suppo... -
Common methods
1. Object name Name of Redisson object stored as a key in Redis or Valkey. Example: RMap map = redisson . getMap ( "mymap" ); map . getName (); // = mymap 2. Commo... -
Reliability
Reliability Iceberg was designed to solve correctness problems that affect Hive tables running in S3. Hive tables track data files using both a central metastore for partitions a...
