Spark: Difference between revisions
Jump to navigation
Jump to search
| Line 6: | Line 6: | ||
=Internal= | =Internal= | ||
* [[Distributed_Systems#Distributed_Computation|Distributed Systems]] | * [[Distributed_Systems#Distributed_Computation|Distributed Systems]] | ||
* [[Stream Processing]] | |||
* [[Flink]] | * [[Flink]] | ||
* [[Iceberg]] | * [[Iceberg]] | ||
Revision as of 00:00, 8 December 2021
External
- https://spark.apache.org
- https://spark.apache.org/docs/latest/index.html
- https://www.macrometa.com/event-stream-processing/spark-vs-flink
Internal
Overview
Spark is a third generation unified analytics engine for large-scale data processing. It natively supports batch processing and stream processing. Stream processing is implemented as micro-batching. It uses HDFS as state backend.
Subjects
Organizatorium
- Spark SQL
- PySpark/Spark SQL in interactive mode on JupyterHub.
- Spark batch and streaming.
- Spark job.
- Spark UI
- Spark history server
- Spark remote shuffle service
- Spark K8s Operator