Statements (62)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:park
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Matei_Zaharia
|
| gptkbp:developed_by |
gptkb:software_framework
|
| gptkbp:enhances |
gptkb:Graph_X
SQL functions Structured Streaming M Llib Data Frame API |
| gptkbp:has_feature |
SQL support
Fault tolerance In-memory computing Lazy evaluation Distributed processing Integration with Hadoop Integration with JDBC Data Frame API Support for Aggregations Support for Joins RDDAPI Graph processing library Integration with Avro Integration with Cassandra Integration with Hive Integration with Kafka Integration with ORC Integration with Parquet Machine Learning library Streaming library Support for Arrow Support for Data Frame actions Support for Data Frame caching Support for Data Frame persistence Support for Data Frame transformations Support for Data Sources API Support for Delta Lake Support for Koalas Support for M Lflow Support for SQL on Data Frames Support for User-defined functions (UD Fs) Support for Window functions |
| https://www.w3.org/2000/01/rdf-schema#label |
Spark 3.1
|
| gptkbp:improves |
gptkb:benchmark
Kubernetes support |
| gptkbp:introduced |
Adaptive Query Execution
Dynamic Partition Pruning New Pandas API on Spark |
| gptkbp:is_compatible_with |
gptkb:Spark_2.x
|
| gptkbp:is_used_in |
gptkb:Company
gptkb:software_framework Big Data processing Stream Processing |
| gptkbp:latest_version |
3.1.0
|
| gptkbp:provides |
Better error messages
Improved UI |
| gptkbp:release_date |
February 2021
|
| gptkbp:supports |
gptkb:Scala_2.12
gptkb:Java_8 gptkb:Python_3.8 |
| gptkbp:written_in |
gptkb:Java
gptkb:Library gptkb:Skrull |