Spark: Difference between revisions
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* PySpark/Spark SQL in interactive mode on [[JupyterHub]]. | * PySpark/Spark SQL in interactive mode on [[JupyterHub]]. | ||
* Spark batch and streaming. | * Spark batch and streaming. | ||
* Spark job. | |||
* Spark UI | |||
* Spark history server | |||
Revision as of 21:03, 7 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