HyukjinKwon commented on a change in pull request #31303:
URL: https://github.com/apache/spark/pull/31303#discussion_r563230598
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File path: .github/workflows/build_and_test.yml
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@@ -430,3 +430,38 @@ jobs:
- name: Build with SBT
run: |
./build/sbt -Pyarn -Pmesos -Pkubernetes -Phive -Phive-thriftserver
-Phadoop-cloud -Pkinesis-asl -Phadoop-2.7 compile test:compile
+
+ tpcds1g:
+ name: Benchmark TPC-DS with 1GB scale factor
+ runs-on: ubuntu-20.04
+ continue-on-error: true
+ steps:
+ - name: Checkout Spark repository
+ uses: actions/checkout@v2
+ - name: Checkout tpcds-kit repository
+ uses: actions/checkout@v2
+ with:
+ repository: databricks/tpcds-kit
+ path: ./tpcds-kit
+ - name: Checkout spark-sql-perf repository
+ uses: actions/checkout@v2
+ with:
+ repository: wangyum/spark-sql-perf
Review comment:
Can you describe what these repos do in the PR description? Also what
does this fork do? Looks like only diff is
https://github.com/wangyum/spark-sql-perf/commit/abf08ebc0d1006e3511fe6b3608935c627b90741.
Can you just use the original repo, and keep the data generate Scala file
somewhere in Spark?
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