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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/05/16 10:17:54 UTC
[GitHub] [spark] gengliangwang commented on a diff in pull request #36562: [SPARK-39193][SQL] Fasten Timestamp type inference of JSON/CSV data sources
gengliangwang commented on code in PR #36562:
URL: https://github.com/apache/spark/pull/36562#discussion_r873559626
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sql/core/benchmarks/CSVBenchmark-results.txt:
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@@ -2,66 +2,66 @@
Benchmark to measure CSV read/write performance
================================================================================================
-OpenJDK 64-Bit Server VM 1.8.0_322-b06 on Linux 5.13.0-1021-azure
-Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+OpenJDK 64-Bit Server VM 1.8.0_292-b10 on Mac OS X 12.2.1
+Apple M1 Pro
Parsing quoted values: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
-One quoted string 41610 42902 1598 0.0 832194.2 1.0X
+One quoted string 16964 16981 15 0.0 339281.1 1.0X
Review Comment:
Not directly related to this PR, but m1 chips are so fast! cc @dbtsai @dongjoon-hyun @viirya @sunchao @huaxingao
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