Abstract | ||
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In recent years, Apache Spark has become the de facto standard for big data processing. SparkSQL is a module offering support for relational analysis on Spark with Structured Query Language (SQL). SparkSQL provides convenient data processing interfaces. Despite its efficient optimizer, SparkSQL still suffers from the inefficiency of Spark resulting from Java virtual machine and the unnecessary dat... |
Year | DOI | Venue |
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2021 | 10.26599/BDMA.2021.9020009 | Big Data Mining and Analytics |
Keywords | DocType | Volume |
Structured Query Language,Optimization,Engines,C++ languages,Sparks,Big Data,Query processing | Journal | 4 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
xiaohan li | 1 | 46 | 9.06 |
Bowen Yu | 2 | 35 | 4.79 |
Guanyu Feng | 3 | 0 | 1.35 |
Haojie Wang | 4 | 2 | 3.87 |
Wenguang Chen | 5 | 0 | 0.34 |