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Hive QA commented on HIVE-23133: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/13002798/HIVE-23133.6.patch {color:red}ERROR:{color} -1 due to no test(s) being added or modified. {color:green}SUCCESS:{color} +1 due to 17268 tests passed Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/22307/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/22307/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-22307/ Messages: {noformat} Executing org.apache.hive.ptest.execution.TestCheckPhase Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.YetusPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase {noformat} This message is automatically generated. ATTACHMENT ID: 13002798 - PreCommit-HIVE-Build > Numeric operations can have different result across hardware archs > ------------------------------------------------------------------ > > Key: HIVE-23133 > URL: https://issues.apache.org/jira/browse/HIVE-23133 > Project: Hive > Issue Type: Sub-task > Reporter: Zhenyu Zheng > Assignee: Zhenyu Zheng > Priority: Major > Attachments: HIVE-23133.1.patch, HIVE-23133.2.patch, > HIVE-23133.3.patch, HIVE-23133.4.patch, HIVE-23133.5.patch, HIVE-23133.6.patch > > > Use java.lang.StrictMath rather than java.lang.Math for compatibility in the > following UDFs: > UDFCos.java > UDFExp.java > UDFLn.java > UDFLog.java > UDFLog2.java > UDFLog10.java > > Currently, we have set up an ARM CI to test out how Hive works on ARM > platform: > [https://builds.apache.org/view/H-L/view/Hive/job/Hive-linux-ARM-trunk/] > Among the failures, we have observed that some numeric operations can have > different result across hardware archs, such as: > [https://builds.apache.org/view/H-L/view/Hive/job/Hive-linux-ARM-trunk/25/testReport/org.apache.hadoop.hive.cli/TestCliDriver/testCliDriver_vector_decimal_udf2_/] > [https://builds.apache.org/view/H-L/view/Hive/job/Hive-linux-ARM-trunk/25/testReport/org.apache.hadoop.hive.cli/TestSparkCliDriver/testCliDriver_subquery_select_/] > [https://builds.apache.org/view/H-L/view/Hive/job/Hive-linux-ARM-trunk/25/testReport/org.apache.hadoop.hive.cli/TestSparkCliDriver/testCliDriver_vectorized_math_funcs_/] > we can see that the calculation results of log, exp, cos, toRadians etc is > slitly different than the .out file results that we are > comparing(they are tested and wrote on X86 machines), this is because of we > use [Math > Library|https://docs.oracle.com/javase/6/docs/api/java/lang/Math.html] for > these kind of calculations. > and according to the > [illustration|https://docs.oracle.com/javase/6/docs/api/java/lang/Math.html]: > _Unlike some of the numeric methods of class StrictMath, all implementations > of the equivalent functions of class Math are not_ > _defined to return the bit-for-bit same results. This relaxation permits > better-performing implementations where strict reproducibility_ > _is not required._ > _By default many of the Math methods simply call the equivalent method in > StrictMath for their implementation._ > _Code generators are encouraged to use platform-specific native libraries or > microprocessor instructions, where available,_ > _to provide higher-performance implementations of Math methods._ > so the result will have difference across hardware archs. > On the other hand, JAVA provided another library > [StrictMath|https://docs.oracle.com/javase/6/docs/api/java/lang/StrictMath.html] > that will not have this kind of problem as according to its' > [reference|https://docs.oracle.com/javase/6/docs/api/java/lang/StrictMath.html]: > _To help ensure portability of Java programs, the definitions of some of the > numeric functions in this package require that they produce_ > _the same results as certain published algorithms._ > So in order to fix the above mentioned problem, we have to consider switch to > use StrictMath instead of Math. > > > -- This message was sent by Atlassian Jira (v8.3.4#803005)