[GJ-9] Clean up arrow data source and log4j dependency #10
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rui-mo
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@weiting-chen This pr can clean up the log4j dependency. |
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Dec 16, 2021
* remove arrow datasource * remove the dependency on log4j
rui-mo
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Dec 20, 2021
* remove arrow datasource * remove the dependency on log4j
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lviiii
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Jul 25, 2022
* [CI] fix travis Signed-off-by: Yuan Zhou <[email protected]> * install arrow data source Signed-off-by: Yuan Zhou <[email protected]> * fix unit test Signed-off-by: Yuan Zhou <[email protected]>
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* [ARROW-DATA-SOURCE-1] Reorganize the source code for the new repository organization * [ARROW-DATA-SOURCE-1] Make compiling succeed * [ADS-2] Fix RAM usage CI (apache#3) * Update tpch.yml * Update report_ram_log.yml * Update report_ram_log.yml * Delete github-ci-fix * Delete github-ci-fix2 * [Arrow-Data-Source-4]Add mkdocs.yml and update docs * [ADS-6] Add utility methods to check leaked Allocators/MemoryPools (apache#7) Close apache#6 * [NSE-51] Update ArrowWritableColumnVector * [ADS-9][Parquet] Parquet data source not replaced by default (apache#10) * [ADS-9][Parquet] Parquet data source not replaced by default * Code style * [ADS-13] Validate metric TaskMetrics.peakExecutionMemory for native SQL engine (apache#14) Closes apache#13 * [ADS-11]Modify title check and automatic link to Issues for PRs (apache#12) * [ADS-16] Upgrade Arrow version to 3.0.0 (apache#17) Closes apache#16 * Initialize new repo * Move arrow data source files to arrow-data-source directory * move native sql files to native-sql-engine folder * [NSE-86] Add root pom.xml; Remove native-sql-engine/core/ArrowWritableColumnVector.java (apache#88) * fix github actions Signed-off-by: Yuan Zhou <[email protected]> * fix building & CI Signed-off-by: Yuan Zhou <[email protected]> Co-authored-by: Chen Haifeng <[email protected]> Co-authored-by: zhixingheyi-tian <[email protected]> Co-authored-by: Hongze Zhang <[email protected]> Co-authored-by: HongW2019 <[email protected]> Co-authored-by: Hongze Zhang <[email protected]> Co-authored-by: Rui Mo <[email protected]>
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Co-authored-by: yangyimin <[email protected]>
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…uffle by default (merge request !16)
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This pr:
With this pr, the jar of arrow data source is not needed when submitting Spark job.
Parquet data should be read with "spark.read.parquet" instead of "spark.read.format("arrow").load" used by Arrow data source.
#9