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Daft
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... -
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... -
Documentation Architecture
Documentation Overview GitHub Wiki Limitations MkDocs ReadTheDocs Additional Information Documentation Overview The documentation for Gobblin is based on ReadTheDocs and Mk... -
Using Superset
Creating Your First Dashboard Exploring Data in Superset Issue Codes -
Standalone Redisson node
Overview Redisson offers ability to run as standalone node and participate in distributed computing. Such Nodes are used to run MapReduce , ExecutorService , ScheduledExecutorServ... -
Writing ORC Data
Introduction Hive SerDe Integration Writing to an ORC File Data Flow Extending Gobblin’s SerDe Integration Introduction Gobblin is capable of writing data to ORC files by le... -
StarRocks
Querying from StarRocks StarRocks allows you to query table formats like Hudi, Delta and Iceberg tables using our external catalog feature. Users do not need additional configura... -
LIMIT
Introduction Return a subset of the rows Using an expression with LIMIT to return a subset of the rows LIMIT constrains the number of records in the output. Introduction LIM... -
Google BigQuery
Querying from Google BigQuery Iceberg tables To read an Apache XTable™ (Incubating) synced Iceberg table from BigQuery , you have two options: Using Iceberg JSON metadata file ... -
savepoint
savepoint and restore with savepoint use savepoint use restore with savepoint savepoint and restore with savepoint savepoint is created using the checkpoint. a global mirror o...
