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Essertel et al., 2018 - Google Patents

Flare: Optimizing Apache Spark with Native Compilation for {Scale-Up} Architectures and {Medium-Size} Data

Essertel et al., 2018

View PDF
Document ID
9221690369370968133
Author
Essertel G
Tahboub R
Decker J
Brown K
Olukotun K
Rompf T
Publication year
Publication venue
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)

External Links

Snippet

In recent years, Apache Spark has become the de facto standard for big data processing. Spark has enabled a wide audience of users to process petabyte-scale workloads due to its flexibility and ease of use: users are able to mix SQL-style relational queries with Scala or …
Continue reading at www.usenix.org (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
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