dongjoon-hyun commented on pull request #28683: URL: https://github.com/apache/spark/pull/28683#issuecomment-656430294
The last run passed all Java/Scala/Python UTs, but it will fail due to timeout. So, I verified the R UT and packaging part manually. ``` ══ testthat results ═══════════════════════════════════════════════════════════ [ OK: 13 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 0 ] ✔ | OK F W S | Context ✔ | 11 | binary functions [1.3 s] ✔ | 4 | functions on binary files [1.0 s] ✔ | 2 | broadcast variables [0.3 s] ✔ | 5 | functions in client.R ✔ | 46 | test functions in sparkR.R [3.5 s] ✔ | 2 | include R packages [0.6 s] ✔ | 2 | JVM API [0.1 s] ✔ | 75 | MLlib classification algorithms, except for tree-based algorithms [53.2 s] ✔ | 70 | MLlib clustering algorithms [21.0 s] ✔ | 6 | MLlib frequent pattern mining [2.3 s] ✔ | 8 | MLlib recommendation algorithms [4.0 s] ✔ | 136 | MLlib regression algorithms, except for tree-based algorithms [70.0 s] ✔ | 8 | MLlib statistics algorithms [0.8 s] ✔ | 94 | MLlib tree-based algorithms [41.8 s] ✔ | 29 | parallelize() and collect() [0.3 s] ✔ | 428 | basic RDD functions [38.9 s] ✔ | 39 | SerDe functionality [2.2 s] ✔ | 20 | partitionBy, groupByKey, reduceByKey etc. [5.9 s] ✔ | 4 | functions in sparkR.R ✔ | 16 | SparkSQL Arrow optimization [30.1 s] ✔ | 6 | test show SparkDataFrame when eager execution is enabled. [0.8 s] ✔ | 1177 | SparkSQL functions [121.2 s] ✔ | 42 | Structured Streaming [53.6 s] ✔ | 16 | tests RDD function take() [0.6 s] ✔ | 14 | the textFile() function [2.7 s] ✔ | 46 | functions in utils.R [0.5 s] ✔ | 0 1 | Windows-specific tests ──────────────────────────────────────────────────────────────────────────────── test_Windows.R:22: skip: sparkJars tag in SparkContext Reason: This test is only for Windows, skipped ──────────────────────────────────────────────────────────────────────────────── ══ Results ═════════════════════════════════════════════════════════════════════ Duration: 456.7 s OK: 2306 Failed: 0 Warnings: 0 Skipped: 1 ``` Merged to master. Thank you, @dilipbiswal and all! ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
