[GJ-9] Clean up arrow data source and log4j dependency#10
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@weiting-chen This pr can clean up the log4j dependency. |
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* remove arrow datasource * remove the dependency on log4j
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Dec 20, 2021
* remove arrow datasource * remove the dependency on log4j
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* [CI] fix travis Signed-off-by: Yuan Zhou <yuan.zhou@intel.com> * install arrow data source Signed-off-by: Yuan Zhou <yuan.zhou@intel.com> * fix unit test Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>
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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 <yuan.zhou@intel.com> * fix building & CI Signed-off-by: Yuan Zhou <yuan.zhou@intel.com> Co-authored-by: Chen Haifeng <haifeng.chen@intel.com> Co-authored-by: zhixingheyi-tian <xiangxiang.shen@intel.com> Co-authored-by: Hongze Zhang <mailtozhz@126.com> Co-authored-by: HongW2019 <hong2.wang@intel.com> Co-authored-by: Hongze Zhang <hongze.zhang@intel.com> Co-authored-by: Rui Mo <rui.mo@intel.com>
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Co-authored-by: yangyimin <yangyimin@meituan.com>
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…uffle by default (merge request !16)
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Apr 15, 2025
update docs
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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