Pagination - Memory threshold issue.

We have a query as below
rule!WFT_getRequestDetailsBySearchParams(ri!process,ri!subprocess,ri!action,ri!requestor,ri!company,ri!reference,ri!sapRefNo,if(isnull(ri!fromDate),todatetime(date(2010,10,10)),ri!fromDate),if(isnull(ri!toDate),todatetime((today())),ri!toDate+intervalds(23,59,59)),ri!monetaryValue,ri!priority,ri!wftRequestID,ri!salesOffice,ri!requestStatus,ri!pageInfo)))

In the above query how is "ri!pageInfo" working? I could not find any parameters like batch size set for pageInfo. Please help how does it work for the above query.

How does pageInfo decrease the load on Appian? I have referred the below link, but did not understand much, Please help me on this.
forum.appian.com/.../System_Functions.html

OriginalPostID-254399

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  • Hi sai charan,
    lets take an simple example
    rule!average() has three rule inputs a,b,c of type int. The average funticion gets these inputs from other rule or interface.
    now the average() rule defination goes like

    sum(ri!a,ri!b,ri!c)/3

    I have an interface in that I will call the average rule by passing the inputs like below
    average(a:10,b:20:30)
    now ri!a holds 10 and ri!b holds 20 and ri!c holds 30,with these values, the average() call sum function with out name value pair.
    The same is applicable to your rule
    rule!WFT_getRequestDetailsBySearchParams(ri!process,ri!subprocess,ri!action,ri!requestor,ri!company,ri!reference,ri!sapRefNo,if(isnull(ri!fromDate),todatetime(date(2010,10,10)),ri!fromDate),if(isnull(ri!toDate),todatetime((today())),ri!toDate+intervalds(23,59,59)),ri!monetaryValue,ri!priority,ri!wftRequestID,ri!salesOffice,ri!requestStatus,ri!pageInfo)))

    assume this is a sum() in the above example where you are getting the pagingInfo from some where these rule inputs are defined.

    next to your question.
    How does pageInfo decrease the load on Appian?
    please go through the below sail receipe.
    forum.appian.com/.../recipe_display_array_of_data_in_a_grid.html

    in the above receipe. local!data contains hard coded data which has 6 rows, when the form loaded intially, the parameter of with, i.e. local!dataSubset we get only 3 rows since the batch size is 3 in the local!pagingInfo. When user clicks on next button in the grid, next 3 records will be loaded to local!dataSubset.
    In this way the pagingInfo reduces the load on Appian by dynamically querying the data.
    Please let us know you still need elaborate example.
Reply
  • Hi sai charan,
    lets take an simple example
    rule!average() has three rule inputs a,b,c of type int. The average funticion gets these inputs from other rule or interface.
    now the average() rule defination goes like

    sum(ri!a,ri!b,ri!c)/3

    I have an interface in that I will call the average rule by passing the inputs like below
    average(a:10,b:20:30)
    now ri!a holds 10 and ri!b holds 20 and ri!c holds 30,with these values, the average() call sum function with out name value pair.
    The same is applicable to your rule
    rule!WFT_getRequestDetailsBySearchParams(ri!process,ri!subprocess,ri!action,ri!requestor,ri!company,ri!reference,ri!sapRefNo,if(isnull(ri!fromDate),todatetime(date(2010,10,10)),ri!fromDate),if(isnull(ri!toDate),todatetime((today())),ri!toDate+intervalds(23,59,59)),ri!monetaryValue,ri!priority,ri!wftRequestID,ri!salesOffice,ri!requestStatus,ri!pageInfo)))

    assume this is a sum() in the above example where you are getting the pagingInfo from some where these rule inputs are defined.

    next to your question.
    How does pageInfo decrease the load on Appian?
    please go through the below sail receipe.
    forum.appian.com/.../recipe_display_array_of_data_in_a_grid.html

    in the above receipe. local!data contains hard coded data which has 6 rows, when the form loaded intially, the parameter of with, i.e. local!dataSubset we get only 3 rows since the batch size is 3 in the local!pagingInfo. When user clicks on next button in the grid, next 3 records will be loaded to local!dataSubset.
    In this way the pagingInfo reduces the load on Appian by dynamically querying the data.
    Please let us know you still need elaborate example.
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