zero323 commented on issue #27328: [WIP][SPARK-23435][SPARKR][TESTS] Update testthat to >= 2.0.0 URL: https://github.com/apache/spark/pull/27328#issuecomment-577759331 Hmmm... So it looks like it actually yields some additional errors on Windows. ``` test_sparkSQL.R:298: skip: create DataFrame from RDD Reason: Hive is not build with SparkSQL, skipped test_sparkSQL.R:862: failure: collect() support Unicode characters rdf$name[1] not equal to markUtf8("<U+C548><U+B155><U+D558><U+C138><U+C694>"). 1/1 mismatches x[1]: "<U+C548><U+B155><U+D558><U+C138><U+C694>" y[1]: "<U+C548><U+B155><U+D558><U+C138><U+C694>" test_sparkSQL.R:863: failure: collect() support Unicode characters rdf$name[2] not equal to markUtf8("<U+60A8><U+597D>"). 1/1 mismatches x[1]: "<U+60A8><U+597D>" y[1]: "<U+60A8><U+597D>" test_sparkSQL.R:864: failure: collect() support Unicode characters rdf$name[3] not equal to markUtf8("<U+3053><U+3093><U+306B><U+3061><U+306F>"). 1/1 mismatches x[1]: "<U+3053><U+3093><U+306B><U+3061><U+306F>" y[1]: "<U+3053><U+3093><U+306B><U+3061><U+306F>" test_sparkSQL.R:865: failure: collect() support Unicode characters rdf$name[4] not equal to markUtf8("Xin ch�o"). 1/1 mismatches x[1]: NA y[1]: "Xin ch�o" test_sparkSQL.R:868: failure: collect() support Unicode characters collect(where(df1, df1$name == markUtf8("<U+60A8><U+597D>")))$name not equal to markUtf8("<U+60A8><U+597D>"). Modes: list, character Length mismatch: comparison on first 0 components test_sparkSQL.R:1325: skip: test HiveContext Reason: Hive is not build with SparkSQL, skipped ``` Especially the last two are worrying. I'll investigate once I put my hands on some Windows environment.
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