junit.framework.ComparisonFailure: Expected: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 10,771 Row #0: 10,562 Row #0: 12,089 Row #0: 13,574 Row #0: 12,835 Row #0: 12,800 Row #0: 1,064 Row #0: 1,053 Row #0: 12,488 Row #0: 13,591 Row #0: 20,548 Row #0: 21,032 Row #0: 1,096 Row #0: 1,141 Row #0: 11,640 Row #0: 12,936 Row #0: 13,513 Row #0: 11,498 Row #0: 12,068 Row #0: 11,523 Row #0: 17,420 Row #0: 17,837 Row #0: 1,019 Row #0: 1,184 Row #0: 5,007 Row #0: 6,484 Row #1: 10759.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 24587.0 Row #1: 23835.0 Row #1: 23835.0 Row #1: 1696.0 Row #1: 1696.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 32393.0 Row #1: 32393.0 Row #1: 2348.0 Row #1: 2348.0 Row #1: 22734.0 Row #1: 22734.0 Row #1: 24110.0 Row #1: 24110.0 Row #1: 11889.0 Row #1: 11889.0 Row #1: 32411.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 10589.0 Actual: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 1,096 Row #0: 20,548 Row #0: 11,523 Row #0: 12,800 Row #0: 17,837 Row #0: 12,936 Row #0: 12,089 Row #0: 21,032 Row #0: 6,484 Row #0: 1,019 Row #0: 11,498 Row #0: 17,420 Row #0: 1,184 Row #0: 5,007 Row #0: 12,488 Row #0: 13,591 Row #0: 1,053 Row #0: 13,513 Row #0: 12,835 Row #0: 11,640 Row #0: 10,771 Row #0: 1,064 Row #0: 10,562 Row #0: 13,574 Row #0: 12,068 Row #0: 1,141 Row #1: 2348.0 Row #1: 32393.0 Row #1: 11889.0 Row #1: 23835.0 Row #1: 32411.0 Row #1: 22734.0 Row #1: 24587.0 Row #1: 32393.0 Row #1: 10589.0 Row #1: 1860.0 Row #1: 24110.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 1696.0 Row #1: 24110.0 Row #1: 23835.0 Row #1: 22734.0 Row #1: 10759.0 Row #1: 1696.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 11889.0 Row #1: 2348.0 Actual java: "Axis #0:\n" + "{}\n" + "Axis #1:\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]}\n" + "Axis #2:\n" + "{[Measures].[Unit Sales]}\n" + "{[Measures].[vm]}\n" + "Row #0: 1,096\n" + "Row #0: 20,548\n" + "Row #0: 11,523\n" + "Row #0: 12,800\n" + "Row #0: 17,837\n" + "Row #0: 12,936\n" + "Row #0: 12,089\n" + "Row #0: 21,032\n" + "Row #0: 6,484\n" + "Row #0: 1,019\n" + "Row #0: 11,498\n" + "Row #0: 17,420\n" + "Row #0: 1,184\n" + "Row #0: 5,007\n" + "Row #0: 12,488\n" + "Row #0: 13,591\n" + "Row #0: 1,053\n" + "Row #0: 13,513\n" + "Row #0: 12,835\n" + "Row #0: 11,640\n" + "Row #0: 10,771\n" + "Row #0: 1,064\n" + "Row #0: 10,562\n" + "Row #0: 13,574\n" + "Row #0: 12,068\n" + "Row #0: 1,141\n" + "Row #1: 2348.0\n" + "Row #1: 32393.0\n" + "Row #1: 11889.0\n" + "Row #1: 23835.0\n" + "Row #1: 32411.0\n" + "Row #1: 22734.0\n" + "Row #1: 24587.0\n" + "Row #1: 32393.0\n" + "Row #1: 10589.0\n" + "Row #1: 1860.0\n" + "Row #1: 24110.0\n" + "Row #1: 32411.0\n" + "Row #1: 1860.0\n" + "Row #1: 10589.0\n" + "Row #1: 8515.0\n" + "Row #1: 8515.0\n" + "Row #1: 1696.0\n" + "Row #1: 24110.0\n" + "Row #1: 23835.0\n" + "Row #1: 22734.0\n" + "Row #1: 10759.0\n" + "Row #1: 1696.0\n" + "Row #1: 10759.0\n" + "Row #1: 24587.0\n" + "Row #1: 11889.0\n" + "Row #1: 2348.0\n" <Click to see difference>

Pentaho BI Platform Tracking | Julian Hyde | 8 years ago
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    NonEmptyTest,testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes produces output in the wrong order against Oracle on JDK 1.5. It works correctly on JDK 1.6. Here is the output: mondrian.rolap.NonEmptyTest,testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes log4j:WARN No appenders could be found for logger (mondrian.olap.MondrianProperties). log4j:WARN Please initialize the log4j system properly. junit.framework.ComparisonFailure: Expected: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 10,771 Row #0: 10,562 Row #0: 12,089 Row #0: 13,574 Row #0: 12,835 Row #0: 12,800 Row #0: 1,064 Row #0: 1,053 Row #0: 12,488 Row #0: 13,591 Row #0: 20,548 Row #0: 21,032 Row #0: 1,096 Row #0: 1,141 Row #0: 11,640 Row #0: 12,936 Row #0: 13,513 Row #0: 11,498 Row #0: 12,068 Row #0: 11,523 Row #0: 17,420 Row #0: 17,837 Row #0: 1,019 Row #0: 1,184 Row #0: 5,007 Row #0: 6,484 Row #1: 10759.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 24587.0 Row #1: 23835.0 Row #1: 23835.0 Row #1: 1696.0 Row #1: 1696.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 32393.0 Row #1: 32393.0 Row #1: 2348.0 Row #1: 2348.0 Row #1: 22734.0 Row #1: 22734.0 Row #1: 24110.0 Row #1: 24110.0 Row #1: 11889.0 Row #1: 11889.0 Row #1: 32411.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 10589.0 Actual: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 1,096 Row #0: 20,548 Row #0: 11,523 Row #0: 12,800 Row #0: 17,837 Row #0: 12,936 Row #0: 12,089 Row #0: 21,032 Row #0: 6,484 Row #0: 1,019 Row #0: 11,498 Row #0: 17,420 Row #0: 1,184 Row #0: 5,007 Row #0: 12,488 Row #0: 13,591 Row #0: 1,053 Row #0: 13,513 Row #0: 12,835 Row #0: 11,640 Row #0: 10,771 Row #0: 1,064 Row #0: 10,562 Row #0: 13,574 Row #0: 12,068 Row #0: 1,141 Row #1: 2348.0 Row #1: 32393.0 Row #1: 11889.0 Row #1: 23835.0 Row #1: 32411.0 Row #1: 22734.0 Row #1: 24587.0 Row #1: 32393.0 Row #1: 10589.0 Row #1: 1860.0 Row #1: 24110.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 1696.0 Row #1: 24110.0 Row #1: 23835.0 Row #1: 22734.0 Row #1: 10759.0 Row #1: 1696.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 11889.0 Row #1: 2348.0 Actual java: "Axis #0:\n" + "{}\n" + "Axis #1:\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]}\n" + "Axis #2:\n" + "{[Measures].[Unit Sales]}\n" + "{[Measures].[vm]}\n" + "Row #0: 1,096\n" + "Row #0: 20,548\n" + "Row #0: 11,523\n" + "Row #0: 12,800\n" + "Row #0: 17,837\n" + "Row #0: 12,936\n" + "Row #0: 12,089\n" + "Row #0: 21,032\n" + "Row #0: 6,484\n" + "Row #0: 1,019\n" + "Row #0: 11,498\n" + "Row #0: 17,420\n" + "Row #0: 1,184\n" + "Row #0: 5,007\n" + "Row #0: 12,488\n" + "Row #0: 13,591\n" + "Row #0: 1,053\n" + "Row #0: 13,513\n" + "Row #0: 12,835\n" + "Row #0: 11,640\n" + "Row #0: 10,771\n" + "Row #0: 1,064\n" + "Row #0: 10,562\n" + "Row #0: 13,574\n" + "Row #0: 12,068\n" + "Row #0: 1,141\n" + "Row #1: 2348.0\n" + "Row #1: 32393.0\n" + "Row #1: 11889.0\n" + "Row #1: 23835.0\n" + "Row #1: 32411.0\n" + "Row #1: 22734.0\n" + "Row #1: 24587.0\n" + "Row #1: 32393.0\n" + "Row #1: 10589.0\n" + "Row #1: 1860.0\n" + "Row #1: 24110.0\n" + "Row #1: 32411.0\n" + "Row #1: 1860.0\n" + "Row #1: 10589.0\n" + "Row #1: 8515.0\n" + "Row #1: 8515.0\n" + "Row #1: 1696.0\n" + "Row #1: 24110.0\n" + "Row #1: 23835.0\n" + "Row #1: 22734.0\n" + "Row #1: 10759.0\n" + "Row #1: 1696.0\n" + "Row #1: 10759.0\n" + "Row #1: 24587.0\n" + "Row #1: 11889.0\n" + "Row #1: 2348.0\n" <Click to see difference> at mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:1014) at mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:972) at mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:950) at mondrian.test.TestContext.assertQueryReturns(TestContext.java:918) at mondrian.test.FoodMartTestCase.assertQueryReturns(FoodMartTestCase.java:125) at mondrian.rolap.NonEmptyTest.testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes(NonEmptyTest.java:3537) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:40) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at com.intellij.rt.execution.application.AppMain.main(AppMain.java:90) Process finished with exit code 255

    Pentaho BI Platform Tracking | 8 years ago | Julian Hyde
    junit.framework.ComparisonFailure: Expected: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 10,771 Row #0: 10,562 Row #0: 12,089 Row #0: 13,574 Row #0: 12,835 Row #0: 12,800 Row #0: 1,064 Row #0: 1,053 Row #0: 12,488 Row #0: 13,591 Row #0: 20,548 Row #0: 21,032 Row #0: 1,096 Row #0: 1,141 Row #0: 11,640 Row #0: 12,936 Row #0: 13,513 Row #0: 11,498 Row #0: 12,068 Row #0: 11,523 Row #0: 17,420 Row #0: 17,837 Row #0: 1,019 Row #0: 1,184 Row #0: 5,007 Row #0: 6,484 Row #1: 10759.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 24587.0 Row #1: 23835.0 Row #1: 23835.0 Row #1: 1696.0 Row #1: 1696.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 32393.0 Row #1: 32393.0 Row #1: 2348.0 Row #1: 2348.0 Row #1: 22734.0 Row #1: 22734.0 Row #1: 24110.0 Row #1: 24110.0 Row #1: 11889.0 Row #1: 11889.0 Row #1: 32411.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 10589.0 Actual: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 1,096 Row #0: 20,548 Row #0: 11,523 Row #0: 12,800 Row #0: 17,837 Row #0: 12,936 Row #0: 12,089 Row #0: 21,032 Row #0: 6,484 Row #0: 1,019 Row #0: 11,498 Row #0: 17,420 Row #0: 1,184 Row #0: 5,007 Row #0: 12,488 Row #0: 13,591 Row #0: 1,053 Row #0: 13,513 Row #0: 12,835 Row #0: 11,640 Row #0: 10,771 Row #0: 1,064 Row #0: 10,562 Row #0: 13,574 Row #0: 12,068 Row #0: 1,141 Row #1: 2348.0 Row #1: 32393.0 Row #1: 11889.0 Row #1: 23835.0 Row #1: 32411.0 Row #1: 22734.0 Row #1: 24587.0 Row #1: 32393.0 Row #1: 10589.0 Row #1: 1860.0 Row #1: 24110.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 1696.0 Row #1: 24110.0 Row #1: 23835.0 Row #1: 22734.0 Row #1: 10759.0 Row #1: 1696.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 11889.0 Row #1: 2348.0 Actual java: "Axis #0:\n" + "{}\n" + "Axis #1:\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]}\n" + "Axis #2:\n" + "{[Measures].[Unit Sales]}\n" + "{[Measures].[vm]}\n" + "Row #0: 1,096\n" + "Row #0: 20,548\n" + "Row #0: 11,523\n" + "Row #0: 12,800\n" + "Row #0: 17,837\n" + "Row #0: 12,936\n" + "Row #0: 12,089\n" + "Row #0: 21,032\n" + "Row #0: 6,484\n" + "Row #0: 1,019\n" + "Row #0: 11,498\n" + "Row #0: 17,420\n" + "Row #0: 1,184\n" + "Row #0: 5,007\n" + "Row #0: 12,488\n" + "Row #0: 13,591\n" + "Row #0: 1,053\n" + "Row #0: 13,513\n" + "Row #0: 12,835\n" + "Row #0: 11,640\n" + "Row #0: 10,771\n" + "Row #0: 1,064\n" + "Row #0: 10,562\n" + "Row #0: 13,574\n" + "Row #0: 12,068\n" + "Row #0: 1,141\n" + "Row #1: 2348.0\n" + "Row #1: 32393.0\n" + "Row #1: 11889.0\n" + "Row #1: 23835.0\n" + "Row #1: 32411.0\n" + "Row #1: 22734.0\n" + "Row #1: 24587.0\n" + "Row #1: 32393.0\n" + "Row #1: 10589.0\n" + "Row #1: 1860.0\n" + "Row #1: 24110.0\n" + "Row #1: 32411.0\n" + "Row #1: 1860.0\n" + "Row #1: 10589.0\n" + "Row #1: 8515.0\n" + "Row #1: 8515.0\n" + "Row #1: 1696.0\n" + "Row #1: 24110.0\n" + "Row #1: 23835.0\n" + "Row #1: 22734.0\n" + "Row #1: 10759.0\n" + "Row #1: 1696.0\n" + "Row #1: 10759.0\n" + "Row #1: 24587.0\n" + "Row #1: 11889.0\n" + "Row #1: 2348.0\n" <Click to see difference>
  2. 0

    NonEmptyTest,testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes produces output in the wrong order against Oracle on JDK 1.5. It works correctly on JDK 1.6. Here is the output: mondrian.rolap.NonEmptyTest,testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes log4j:WARN No appenders could be found for logger (mondrian.olap.MondrianProperties). log4j:WARN Please initialize the log4j system properly. junit.framework.ComparisonFailure: Expected: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 10,771 Row #0: 10,562 Row #0: 12,089 Row #0: 13,574 Row #0: 12,835 Row #0: 12,800 Row #0: 1,064 Row #0: 1,053 Row #0: 12,488 Row #0: 13,591 Row #0: 20,548 Row #0: 21,032 Row #0: 1,096 Row #0: 1,141 Row #0: 11,640 Row #0: 12,936 Row #0: 13,513 Row #0: 11,498 Row #0: 12,068 Row #0: 11,523 Row #0: 17,420 Row #0: 17,837 Row #0: 1,019 Row #0: 1,184 Row #0: 5,007 Row #0: 6,484 Row #1: 10759.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 24587.0 Row #1: 23835.0 Row #1: 23835.0 Row #1: 1696.0 Row #1: 1696.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 32393.0 Row #1: 32393.0 Row #1: 2348.0 Row #1: 2348.0 Row #1: 22734.0 Row #1: 22734.0 Row #1: 24110.0 Row #1: 24110.0 Row #1: 11889.0 Row #1: 11889.0 Row #1: 32411.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 10589.0 Actual: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 1,096 Row #0: 20,548 Row #0: 11,523 Row #0: 12,800 Row #0: 17,837 Row #0: 12,936 Row #0: 12,089 Row #0: 21,032 Row #0: 6,484 Row #0: 1,019 Row #0: 11,498 Row #0: 17,420 Row #0: 1,184 Row #0: 5,007 Row #0: 12,488 Row #0: 13,591 Row #0: 1,053 Row #0: 13,513 Row #0: 12,835 Row #0: 11,640 Row #0: 10,771 Row #0: 1,064 Row #0: 10,562 Row #0: 13,574 Row #0: 12,068 Row #0: 1,141 Row #1: 2348.0 Row #1: 32393.0 Row #1: 11889.0 Row #1: 23835.0 Row #1: 32411.0 Row #1: 22734.0 Row #1: 24587.0 Row #1: 32393.0 Row #1: 10589.0 Row #1: 1860.0 Row #1: 24110.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 1696.0 Row #1: 24110.0 Row #1: 23835.0 Row #1: 22734.0 Row #1: 10759.0 Row #1: 1696.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 11889.0 Row #1: 2348.0 Actual java: "Axis #0:\n" + "{}\n" + "Axis #1:\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]}\n" + "Axis #2:\n" + "{[Measures].[Unit Sales]}\n" + "{[Measures].[vm]}\n" + "Row #0: 1,096\n" + "Row #0: 20,548\n" + "Row #0: 11,523\n" + "Row #0: 12,800\n" + "Row #0: 17,837\n" + "Row #0: 12,936\n" + "Row #0: 12,089\n" + "Row #0: 21,032\n" + "Row #0: 6,484\n" + "Row #0: 1,019\n" + "Row #0: 11,498\n" + "Row #0: 17,420\n" + "Row #0: 1,184\n" + "Row #0: 5,007\n" + "Row #0: 12,488\n" + "Row #0: 13,591\n" + "Row #0: 1,053\n" + "Row #0: 13,513\n" + "Row #0: 12,835\n" + "Row #0: 11,640\n" + "Row #0: 10,771\n" + "Row #0: 1,064\n" + "Row #0: 10,562\n" + "Row #0: 13,574\n" + "Row #0: 12,068\n" + "Row #0: 1,141\n" + "Row #1: 2348.0\n" + "Row #1: 32393.0\n" + "Row #1: 11889.0\n" + "Row #1: 23835.0\n" + "Row #1: 32411.0\n" + "Row #1: 22734.0\n" + "Row #1: 24587.0\n" + "Row #1: 32393.0\n" + "Row #1: 10589.0\n" + "Row #1: 1860.0\n" + "Row #1: 24110.0\n" + "Row #1: 32411.0\n" + "Row #1: 1860.0\n" + "Row #1: 10589.0\n" + "Row #1: 8515.0\n" + "Row #1: 8515.0\n" + "Row #1: 1696.0\n" + "Row #1: 24110.0\n" + "Row #1: 23835.0\n" + "Row #1: 22734.0\n" + "Row #1: 10759.0\n" + "Row #1: 1696.0\n" + "Row #1: 10759.0\n" + "Row #1: 24587.0\n" + "Row #1: 11889.0\n" + "Row #1: 2348.0\n" <Click to see difference> at mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:1014) at mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:972) at mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:950) at mondrian.test.TestContext.assertQueryReturns(TestContext.java:918) at mondrian.test.FoodMartTestCase.assertQueryReturns(FoodMartTestCase.java:125) at mondrian.rolap.NonEmptyTest.testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes(NonEmptyTest.java:3537) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:40) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at com.intellij.rt.execution.application.AppMain.main(AppMain.java:90) Process finished with exit code 255

    Pentaho BI Platform Tracking | 8 years ago | Julian Hyde
    junit.framework.ComparisonFailure: Expected: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 10,771 Row #0: 10,562 Row #0: 12,089 Row #0: 13,574 Row #0: 12,835 Row #0: 12,800 Row #0: 1,064 Row #0: 1,053 Row #0: 12,488 Row #0: 13,591 Row #0: 20,548 Row #0: 21,032 Row #0: 1,096 Row #0: 1,141 Row #0: 11,640 Row #0: 12,936 Row #0: 13,513 Row #0: 11,498 Row #0: 12,068 Row #0: 11,523 Row #0: 17,420 Row #0: 17,837 Row #0: 1,019 Row #0: 1,184 Row #0: 5,007 Row #0: 6,484 Row #1: 10759.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 24587.0 Row #1: 23835.0 Row #1: 23835.0 Row #1: 1696.0 Row #1: 1696.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 32393.0 Row #1: 32393.0 Row #1: 2348.0 Row #1: 2348.0 Row #1: 22734.0 Row #1: 22734.0 Row #1: 24110.0 Row #1: 24110.0 Row #1: 11889.0 Row #1: 11889.0 Row #1: 32411.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 10589.0 Actual: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 1,096 Row #0: 20,548 Row #0: 11,523 Row #0: 12,800 Row #0: 17,837 Row #0: 12,936 Row #0: 12,089 Row #0: 21,032 Row #0: 6,484 Row #0: 1,019 Row #0: 11,498 Row #0: 17,420 Row #0: 1,184 Row #0: 5,007 Row #0: 12,488 Row #0: 13,591 Row #0: 1,053 Row #0: 13,513 Row #0: 12,835 Row #0: 11,640 Row #0: 10,771 Row #0: 1,064 Row #0: 10,562 Row #0: 13,574 Row #0: 12,068 Row #0: 1,141 Row #1: 2348.0 Row #1: 32393.0 Row #1: 11889.0 Row #1: 23835.0 Row #1: 32411.0 Row #1: 22734.0 Row #1: 24587.0 Row #1: 32393.0 Row #1: 10589.0 Row #1: 1860.0 Row #1: 24110.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 1696.0 Row #1: 24110.0 Row #1: 23835.0 Row #1: 22734.0 Row #1: 10759.0 Row #1: 1696.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 11889.0 Row #1: 2348.0 Actual java: "Axis #0:\n" + "{}\n" + "Axis #1:\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]}\n" + "Axis #2:\n" + "{[Measures].[Unit Sales]}\n" + "{[Measures].[vm]}\n" + "Row #0: 1,096\n" + "Row #0: 20,548\n" + "Row #0: 11,523\n" + "Row #0: 12,800\n" + "Row #0: 17,837\n" + "Row #0: 12,936\n" + "Row #0: 12,089\n" + "Row #0: 21,032\n" + "Row #0: 6,484\n" + "Row #0: 1,019\n" + "Row #0: 11,498\n" + "Row #0: 17,420\n" + "Row #0: 1,184\n" + "Row #0: 5,007\n" + "Row #0: 12,488\n" + "Row #0: 13,591\n" + "Row #0: 1,053\n" + "Row #0: 13,513\n" + "Row #0: 12,835\n" + "Row #0: 11,640\n" + "Row #0: 10,771\n" + "Row #0: 1,064\n" + "Row #0: 10,562\n" + "Row #0: 13,574\n" + "Row #0: 12,068\n" + "Row #0: 1,141\n" + "Row #1: 2348.0\n" + "Row #1: 32393.0\n" + "Row #1: 11889.0\n" + "Row #1: 23835.0\n" + "Row #1: 32411.0\n" + "Row #1: 22734.0\n" + "Row #1: 24587.0\n" + "Row #1: 32393.0\n" + "Row #1: 10589.0\n" + "Row #1: 1860.0\n" + "Row #1: 24110.0\n" + "Row #1: 32411.0\n" + "Row #1: 1860.0\n" + "Row #1: 10589.0\n" + "Row #1: 8515.0\n" + "Row #1: 8515.0\n" + "Row #1: 1696.0\n" + "Row #1: 24110.0\n" + "Row #1: 23835.0\n" + "Row #1: 22734.0\n" + "Row #1: 10759.0\n" + "Row #1: 1696.0\n" + "Row #1: 10759.0\n" + "Row #1: 24587.0\n" + "Row #1: 11889.0\n" + "Row #1: 2348.0\n" <Click to see difference>

    Root Cause Analysis

    1. junit.framework.ComparisonFailure

      Expected: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 10,771 Row #0: 10,562 Row #0: 12,089 Row #0: 13,574 Row #0: 12,835 Row #0: 12,800 Row #0: 1,064 Row #0: 1,053 Row #0: 12,488 Row #0: 13,591 Row #0: 20,548 Row #0: 21,032 Row #0: 1,096 Row #0: 1,141 Row #0: 11,640 Row #0: 12,936 Row #0: 13,513 Row #0: 11,498 Row #0: 12,068 Row #0: 11,523 Row #0: 17,420 Row #0: 17,837 Row #0: 1,019 Row #0: 1,184 Row #0: 5,007 Row #0: 6,484 Row #1: 10759.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 24587.0 Row #1: 23835.0 Row #1: 23835.0 Row #1: 1696.0 Row #1: 1696.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 32393.0 Row #1: 32393.0 Row #1: 2348.0 Row #1: 2348.0 Row #1: 22734.0 Row #1: 22734.0 Row #1: 24110.0 Row #1: 24110.0 Row #1: 11889.0 Row #1: 11889.0 Row #1: 32411.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 10589.0 Actual: Axis #0: {} Axis #1: {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]} {[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]} {[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]} Axis #2: {[Measures].[Unit Sales]} {[Measures].[vm]} Row #0: 1,096 Row #0: 20,548 Row #0: 11,523 Row #0: 12,800 Row #0: 17,837 Row #0: 12,936 Row #0: 12,089 Row #0: 21,032 Row #0: 6,484 Row #0: 1,019 Row #0: 11,498 Row #0: 17,420 Row #0: 1,184 Row #0: 5,007 Row #0: 12,488 Row #0: 13,591 Row #0: 1,053 Row #0: 13,513 Row #0: 12,835 Row #0: 11,640 Row #0: 10,771 Row #0: 1,064 Row #0: 10,562 Row #0: 13,574 Row #0: 12,068 Row #0: 1,141 Row #1: 2348.0 Row #1: 32393.0 Row #1: 11889.0 Row #1: 23835.0 Row #1: 32411.0 Row #1: 22734.0 Row #1: 24587.0 Row #1: 32393.0 Row #1: 10589.0 Row #1: 1860.0 Row #1: 24110.0 Row #1: 32411.0 Row #1: 1860.0 Row #1: 10589.0 Row #1: 8515.0 Row #1: 8515.0 Row #1: 1696.0 Row #1: 24110.0 Row #1: 23835.0 Row #1: 22734.0 Row #1: 10759.0 Row #1: 1696.0 Row #1: 10759.0 Row #1: 24587.0 Row #1: 11889.0 Row #1: 2348.0 Actual java: "Axis #0:\n" + "{}\n" + "Axis #1:\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Salem].[Store 13], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Tacoma].[Store 17], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Walla Walla].[Store 22], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Yakima].[Store 23], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[OR].[Portland].[Store 11], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Seattle].[Store 15], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Diego].[Store 24], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bremerton].[Store 3], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[San Francisco].[Store 14], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[CA].[Beverly Hills].[Store 6], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[CA].[Los Angeles].[Store 7], [Gender].[All Gender].[M]}\n" + "{[Store].[All Stores].[USA].[WA].[Spokane].[Store 16], [Gender].[All Gender].[F]}\n" + "{[Store].[All Stores].[USA].[WA].[Bellingham].[Store 2], [Gender].[All Gender].[M]}\n" + "Axis #2:\n" + "{[Measures].[Unit Sales]}\n" + "{[Measures].[vm]}\n" + "Row #0: 1,096\n" + "Row #0: 20,548\n" + "Row #0: 11,523\n" + "Row #0: 12,800\n" + "Row #0: 17,837\n" + "Row #0: 12,936\n" + "Row #0: 12,089\n" + "Row #0: 21,032\n" + "Row #0: 6,484\n" + "Row #0: 1,019\n" + "Row #0: 11,498\n" + "Row #0: 17,420\n" + "Row #0: 1,184\n" + "Row #0: 5,007\n" + "Row #0: 12,488\n" + "Row #0: 13,591\n" + "Row #0: 1,053\n" + "Row #0: 13,513\n" + "Row #0: 12,835\n" + "Row #0: 11,640\n" + "Row #0: 10,771\n" + "Row #0: 1,064\n" + "Row #0: 10,562\n" + "Row #0: 13,574\n" + "Row #0: 12,068\n" + "Row #0: 1,141\n" + "Row #1: 2348.0\n" + "Row #1: 32393.0\n" + "Row #1: 11889.0\n" + "Row #1: 23835.0\n" + "Row #1: 32411.0\n" + "Row #1: 22734.0\n" + "Row #1: 24587.0\n" + "Row #1: 32393.0\n" + "Row #1: 10589.0\n" + "Row #1: 1860.0\n" + "Row #1: 24110.0\n" + "Row #1: 32411.0\n" + "Row #1: 1860.0\n" + "Row #1: 10589.0\n" + "Row #1: 8515.0\n" + "Row #1: 8515.0\n" + "Row #1: 1696.0\n" + "Row #1: 24110.0\n" + "Row #1: 23835.0\n" + "Row #1: 22734.0\n" + "Row #1: 10759.0\n" + "Row #1: 1696.0\n" + "Row #1: 10759.0\n" + "Row #1: 24587.0\n" + "Row #1: 11889.0\n" + "Row #1: 2348.0\n" <Click to see difference>

      at mondrian.test.TestContext.assertEqualsVerbose()
    2. mondrian.test
      FoodMartTestCase.assertQueryReturns
      1. mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:1014)
      2. mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:972)
      3. mondrian.test.TestContext.assertEqualsVerbose(TestContext.java:950)
      4. mondrian.test.TestContext.assertQueryReturns(TestContext.java:918)
      5. mondrian.test.FoodMartTestCase.assertQueryReturns(FoodMartTestCase.java:125)
      5 frames
    3. mondrian.rolap
      NonEmptyTest.testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes
      1. mondrian.rolap.NonEmptyTest.testCrossjoinWithOneDimensionThatDoesNotJoinToBothBaseCubes(NonEmptyTest.java:3537)
      1 frame
    4. Java RT
      DelegatingMethodAccessorImpl.invoke
      1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
      3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
      3 frames
    5. IDEA
      JUnitStarter.main
      1. com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:40)
      1 frame
    6. Java RT
      DelegatingMethodAccessorImpl.invoke
      1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
      3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
      3 frames
    7. IDEA
      AppMain.main
      1. com.intellij.rt.execution.application.AppMain.main(AppMain.java:90)
      1 frame