{"id":3490,"date":"2023-04-12T15:33:27","date_gmt":"2023-04-12T15:33:27","guid":{"rendered":"https:\/\/quebit.com\/askquebit\/5-powerful-mdx-functions-to-use-in-your-ibm-planning-analytics-model\/"},"modified":"2026-01-16T15:48:02","modified_gmt":"2026-01-16T15:48:02","slug":"5-powerful-mdx-functions-to-use-in-your-ibm-planning-analytics-model","status":"publish","type":"post","link":"https:\/\/quebit.com\/askquebit\/5-powerful-mdx-functions-to-use-in-your-ibm-planning-analytics-model\/","title":{"rendered":"What Are Five Powerful MDX Functions to Use in Your IBM Planning Analytics Model and How Do They Work?"},"content":{"rendered":"

IBM Planning Analytics (PA) subsets can be made dynamic through multi-dimensional expressions (MDX<\/a>).\u00a0 This reduces manual maintenance and ensures that subsets display the latest metadata and data available in the model. For example, when the Current Year of a model is modified, an MDX driven \u201cCurrent Year Months\u201d subset will be updated immediately.<\/p>\n

Today we will walk through 5 powerful MDX functions and use cases for each of them.<\/p>\n

1. DESCENDANTS<\/strong>: Returns the element specified and all descendants of the element<\/p>\n

Objective<\/strong>: In the Periods dimension, return all children of the element \u201cFY2022\u201d and \u201cFY2022\u201d
\nMDX<\/strong>: {DESCENDANTS ([Periods].[FY2022] )}<\/p>\n

\"\"<\/p>\n

2. FILTER<\/strong>: Filters elements based on cube values
\nObjective<\/strong>: In the Periods dimension, pull the element specified as \u201cCurrent Year\u201d in the Global Settings cube and all its descendants
\nMDX<\/strong>:
\n{ DESCENDANTS ({ FILTER ({ TM1SUBSETALL ( [Periods] )}, [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”) =
\n[Global Settings].([Global Settings].[Current Year],[Global Settings Measures].[String] ))} )}
\n
\n<\/strong>Global Settings Cube:<\/strong>
\n<\/strong>\"\"<\/strong>
\n<\/strong>Result:<\/strong><\/p>\n

\"\"<\/p>\n

3. UNION: <\/strong>Returns a union of 2 or more specified sets
\nObjective<\/strong>: In the Periods dimension, pull the elements specified as \u201cCurrent Year\u201d and \u201cNext Year\u201d in the Global Settings cube and their descendants<\/p>\n

MDX<\/strong>:
\n{ UNION (<\/p>\n

{ DESCENDANTS ( { FILTER ({ TM1SUBSETALL ( [Periods] )}, [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”)\u00a0 = [Global Settings].([Global Settings].[Current Year],[Global Settings Measures].[String]))} )} ,<\/p>\n

{ DESCENDANTS ( { FILTER ({ TM1SUBSETALL ( [Periods] )}, [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”)\u00a0 = [Global Settings].([Global Settings].[Next Year],[Global Settings Measures].[String]))} )} )}<\/p>\n

Result:<\/strong><\/p>\n

\"\"<\/p>\n

Alternative MDX using FILTER:<\/strong>
\n{ DESCENDANTS ( { FILTER ({ TM1SUBSETALL ( [Periods] )}, [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”)\u00a0 @>= [Global Settings].([Global Settings].[Current Year],[Global Settings Measures].[String]) AND [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”) @<= [Global Settings].([Global Settings].[Next Year],[Global Settings Measures].[String])\u00a0 )} )}<\/p>\n

4. TM1FILTERBYLEVEL: <\/strong>Filters the subset based on a specified level
\nObjective<\/strong>: In the Periods dimension, pull only level 0 descendants <\/strong>of the elements specified as \u201cCurrent Year\u201d and \u201cNext Year\u201d in the Global Settings cube.
\n<\/strong>
\nMDX<\/strong>:
\n{ TM1FILTERBYLEVEL ( { DESCENDANTS ( { FILTER ({ TM1SUBSETALL ( [Periods] )}, [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”) @>= [Global Settings].([Global Settings].[Current Year],[Global Settings Measures].[String]) AND [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”) @<= [Global Settings].([Global Settings].[Next Year],[Global Settings Measures].[String])\u00a0 )} )} , 0 )}<\/p>\n

Result:<\/strong><\/p>\n

\"\"<\/p>\n

5.<\/strong> EXCEPT<\/strong><\/a>: <\/strong>Evaluates two expressions, retains elements from the first expression, and removes elements from the second expression
\nObjective<\/strong>: In the Periods dimension, pull only level C descendants <\/strong>of the elements specified as \u201cCurrent Year\u201d and \u201cNext Year\u201d in the Global Settings cube.MDX<\/strong>:
\n{ EXCEPT (<\/p>\n

{ DESCENDANTS ( { FILTER ({ TM1SUBSETALL ( [Periods] )}, [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”)\u00a0 @>= [Global Settings].([Global Settings].[Current Year],[Global Settings Measures].[String]) AND [Periods].CURRENTMEMBER.PROPERTIES(“MEMBER_CAPTION”) @<= [Global Settings].([Global Settings].[Next Year],[Global Settings Measures].[String])\u00a0 )} )} ,<\/p>\n

{ TM1FILTERBYLEVEL ( { TM1SUBSETALL ( [Periods] )} , 0 )} )}<\/p>\n

Result<\/strong>:<\/p>\n

\"\"<\/p>\n

How will you use these MDX functions? We would love to hear about your use cases and any other MDX functions you are interested in!<\/p>\n","protected":false},"excerpt":{"rendered":"

IBM Planning Analytics (PA) subsets can be made dynamic through multi-dimensional expressions (MDX).\u00a0 This reduces manual maintenance and ensures that subsets display the latest metadata and data available in the model. For example, when the Current Year of a model is modified, an MDX driven \u201cCurrent Year Months\u201d subset will be updated immediately. Today we…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[36,55,40],"class_list":["post-3490","post","type-post","status-publish","format-standard","hentry","category-ibm","tag-planning-analytics","tag-planning-analytics-tech-tips","tag-tech-tips"],"acf":[],"yoast_head":"\nWhat Are Five Powerful MDX Functions to Use in Your IBM Planning Analytics Model and How Do They Work? - QueBIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/quebit.com\/askquebit\/5-powerful-mdx-functions-to-use-in-your-ibm-planning-analytics-model\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Are Five Powerful MDX Functions to Use in Your IBM Planning Analytics Model and How Do They Work? - QueBIT\" \/>\n<meta property=\"og:description\" content=\"IBM Planning Analytics (PA) subsets can be made dynamic through multi-dimensional expressions (MDX).\u00a0 This reduces manual maintenance and ensures that subsets display the latest metadata and data available in the model. 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