Some requests for 6.0.1

Dear Apple - while you're hard at work ironing out the bugs in the new Maps app (which I quite like), here are a few requests that will help retain me as a phone customer.
1. An improvement to Contacts:
     Searchable categories would be nice, but primarily I want group contacts that I don't have to manually make by entering email addresses seperated by        commas into a text editor (since the Contacts app has no comma) and then paste into a single email field, which work but gives an error message every time      I send to it.
2. The ability to make the speakerphone louder:
     It should be adjustable within the limits of the hardware - just like playing music sans headphones - so that I don't have to hold the speaker end of the phone      up to my ear to hear it, thereby defeating the purpose.
3. Eliminate limits on the length of videos (and quantity of photos) one can send from the Photos app:
     Allow me to send as much data as my provider and my recipients provider allow.
PS, the new Podcasts app and Music app do not play nicely together. If the latter is open, the former will randomly fade out and pause playback. It's tolerable (closing the Music app from the multitask screen fixes it), but annoying given that splitting podcasts out of iTunes and Music is IMO a less elegant solution than the baseline was.

These forums support the Java language, not NetBeans (or any other IDE). If you can't find a matching addon, change to the 5.5 version - or ask this question at the NB site.

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    fact_highweedsandgrassdetails.mowingsector,
    fact_highweedsandgrassdetails.caseclosedflag,
    fact_highweedsandgrassdetails.casecloseddateid,
    fact_highweedsandgrassdetails.maccomments,
    fact_highweedsandgrassdetails.lastfeeinvoicedateid,
    fact_highweedsandgrassdetails.casehasvendorinfo,
    fact_highweedsandgrassdetails.mowingstatus,
    fact_highweedsandgrassdetails.receiveddateid,
    fact_highweedsandgrassdetails.assignedtovendordateid,
    fact_highweedsandgrassdetails.assignedtovendor,
    fact_highweedsandgrassdetails.reassigneddateid,
    fact_highweedsandgrassdetails.reassignedtovendor,
    fact_highweedsandgrassdetails.currentvendor,
    fact_highweedsandgrassdetails.currentassigneddateid,
    fact_highweedsandgrassdetails.mowingduedateid,
    fact_highweedsandgrassdetails.vendormoweddateid,
    fact_highweedsandgrassdetails.invoiced,
    fact_highweedsandgrassdetails.invoicedstatus,
    fact_highweedsandgrassdetails.invoicedstatusdateid,
    fact_highweedsandgrassdetails.vendorinvoicenumber,
    fact_highweedsandgrassdetails.vendorcomments,
    fact_casedetails.captypename,
    fact_casedetails.casenumbersubgroup,
    fact_casedetails.casetype,
    fact_casedetails.township,
    fact_casedetails.casestatus,
    fact_casedetails.caseopendateid,
    fact_casedetails.referredtolegalflag,
    fact_casedetails.macinitiatedflag,
    fact_casedetails.conversionstatusdesc,
    fact_casedetails.assignedstaff,
    fact_casedetails.completedstaff,
    fact_casedetails.closedbystaff,
    fact_casedetails.initiator,
    fact_casedetails.reasonforinvestigation,
    fact_casedetails.primaryaddress,
    fact_casedetails.parcelnumber,
    fact_highweedsandgrassdetails.vendormoweddatetime,
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.receiveddatetime,
    COALESCE (
    fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.recordimportdatetime))
    AS
    NUMERIC(9, 2)),
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.receiveddatetime,
    COALESCE (
    fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.recordimportdatetime))
    AS
    NUMERIC(9, 2)),
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.assignedtovendordate,
    COALESCE (
    fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.recordimportdatetime))
    AS
    NUMERIC(9, 2)),
    CASE
    WHEN mowingstatus = 'Mowed'
    OR mowingstatus = 'Closed' THEN 1
    ELSE 0
    END,
    fact_highweedsandgrassdetails.recordimportdatetime,
    fact_casedetails.macsiebelnumber,
    fact_highweedsandgrassdetails.mowingduedate,
    fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.lastfeeinvoicedate,
    fact_highweedsandgrassdetails.investigationopendatetime,
    fact_highweedsandgrassdetails.investigationopendate,
    fact_highweedsandgrassdetails.investigationopendateid,
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.investigationopendatetime,
    CASE
    WHEN
    ( vendormoweddatetime IS NOT NULL
    AND vendormoweddatetime <=
    fact_highweedsandgrassdetails.casecloseddate ) THEN
    fact_highweedsandgrassdetails.vendormoweddatetime
    ELSE
    CASE
    WHEN (
    fact_highweedsandgrassdetails.casecloseddate
    IS NOT NULL
    AND
    fact_highweedsandgrassdetails.casecloseddate <=
    fact_highweedsandgrassdetails.recordimportdatetime )
    THEN
    fact_highweedsandgrassdetails.casecloseddate
    ELSE
    fact_highweedsandgrassdetails.recordimportdatetime
    END
    END) AS NUMERIC(9, 2)),
    Cast(Datediff(ss,
    fact_highweedsandgrassdetails.investigationopendatetime,
    CASE
    WHEN
    COALESCE (vendormoweddatetime,
    fact_highweedsandgrassdetails.casecloseddate) IS
    NOT NULL THEN COALESCE (vendormoweddatetime,
    fact_highweedsandgrassdetails.casecloseddate)
    ELSE
    CASE
    WHEN
    ( fact_highweedsandgrassdetails.casecloseddate IS NOT NULL
    AND fact_highweedsandgrassdetails.casecloseddate <=
    fact_highweedsandgrassdetails.recordimportdatetime ) THEN
    fact_highweedsandgrassdetails.casecloseddate
    ELSE fact_highweedsandgrassdetails.recordimportdatetime
    END
    END) AS NUMERIC(18, 2)) * 60,
    fact_casedetails.assigneddepartment,
    COALESCE (fact_casedetails.assignedstaff, '[null]')
    + '/'
    + COALESCE (fact_casedetails.assigneddepartment, '[null]'),
    fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.receiveddatetime,
    fact_highweedsandgrassdetails.assignedtovendordate,
    fact_highweedsandgrassdetails.vendorinvoiceamount,
    fact_highweedsandgrassdetails.invoicedstatusdate,
    fact_highweedsandgrassdetails.complaint_source,
    fact_highweedsandgrassdetails.inspection_result,
    fact_highweedsandgrassdetails.reason_for_complaint,
    fact_highweedsandgrassdetails.contractcompliancevendor,
    fact_highweedsandgrassdetails.vendor_action,
    fact_highweedsandgrassdetails.date_of_complaint_id,
    fact_highweedsandgrassdetails.date_of_inspection_id,
    CONVERT(INT, Replace(
    Replace(fact_highweedsandgrassdetails.casenumber, 'HWG', 0)
    , '-', 0)),
    fact_highweedsandgrassdetails.maccomments,
    dbo.dim_highweedscensustracts.b1_census_tract) AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS]
    ORDER BY [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[compliancejoin]
    ASC
    SV

    I just counted the columns from the top:
    1) compliancejoin, 2) mowingsector, 3) caseclosedflag, 4) casehasvendorinfo, 5) mowingstatus, 6) assignedtovendor.
    I see now that your subject line talks about column 6, but you say column 5 in body of your original post.
    I don't know anything about cubes, but apparently there is some mapping problem when you run it from SSAS. (I assume it is SSAS, a part of the product I'm entirely ignorant of.) I figured that if you had got tripped by the zero-based numbering, you
    might be staring on the wrong column.
    Erland Sommarskog, SQL Server MVP, [email protected]

  • Errors in the back-end database access module. OLE DB was unable to convert a value to the data type requested for column 6.

    Hi All,
    I'm still struggling with the same cube and this is my 3rd post and once i fix some thing the other breaks. Please forgive me. When i process my cube i'm getting the error:
    Errors in the back-end database access module. OLE DB was unable to convert a value to the data type requested for column 5.
    My question is when the error says column 5 (is it the column 5 in the DSV?) or is it the column 5 in the DIMENSION list?
    My next question is the DSV Query works perfectly fine , so why this error in cube? This is what i have in the query in DSV.
    Please need help. In the below query both the column 5 (ArEASSIGNED TO VENDOR) in the CUBE and underlying table have the same data type and length VARCHAR(4000). Why is the process failing still?
    SELECT [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[compliancejoin]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_0],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingsector]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_1],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseclosedflag]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_2],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casehasvendorinfo]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_3],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingstatus]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_4],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assignedtovendor]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_5],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reassignedtovendor]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_6],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[currentvendor]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_7],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoiced]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSInvoiced0_8],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoicedstatus]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_9],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casecloseddateid]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_10],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assignedtovendordateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_11],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reassigneddateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_12],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[currentassigneddateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_13],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[mowingduedateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_14],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendormoweddateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_15],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[captypename] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_16],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casetype] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseType0_17],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casenumbersubgroup] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_18],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casetownship] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_19],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casestatus] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseStatus0_20],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseopendateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_21],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casereferredtolegalflag]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_22],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casemacinitiatedflag] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_23],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseconversionstatusdesc]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_24],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reasonforinvestigation] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_25],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[investigationopendateid]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_26],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[receiveddateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_27],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[assigned_department_staff]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_28],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[caseinitiator] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_29],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendorinvoiceamount] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_30],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[inspection_result] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_31],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[reason_for_complaint] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_32],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[vendor_action] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_33],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[complaint_source] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_34],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[contractcompliancevendor]
    AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_35],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[invoicedstatusdateid] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_36],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[date_of_complaint_id] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_37],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[date_of_inspection_id] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_38],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[casenumber] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSCaseNumber0_39],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[parcelnumber] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS0_40],
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTS].[row_index] AS
    [High_x0020_Weeds_x0020_and_x0020_Grass_x0020_FACTSROW_INDEX0_41]
    FROM (SELECT CASE Isnumeric(
    accela_staging.dbo.fact_highweedsandgrassdetails.vendorinvoiceamount)
    WHEN 1 THEN Cast(
    fact_highweedsandgrassdetails.vendorinvoiceamount AS
    VARCHAR(
    10))
    END AS
    Total_Dollar_Amount,
    fact_highweedsandgrassdetails.casenumber,
    fact_highweedsandgrassdetails.row_index,
    fact_highweedsandgrassdetails.mowingsector,
    fact_highweedsandgrassdetails.caseclosedflag,
    fact_highweedsandgrassdetails.casecloseddateid,
    fact_highweedsandgrassdetails.maccomments,
    fact_highweedsandgrassdetails.lastfeeinvoicedateid,
    fact_highweedsandgrassdetails.casehasvendorinfo,
    fact_highweedsandgrassdetails.mowingstatus,
    fact_highweedsandgrassdetails.receiveddateid,
    fact_highweedsandgrassdetails.assignedtovendordateid,
    fact_highweedsandgrassdetails.assignedtovendor,
    fact_highweedsandgrassdetails.reassigneddateid,
    fact_highweedsandgrassdetails.reassignedtovendor,
    fact_highweedsandgrassdetails.currentvendor,
    fact_highweedsandgrassdetails.currentassigneddateid,
    fact_highweedsandgrassdetails.mowingduedateid,
    fact_highweedsandgrassdetails.vendormoweddateid,
    fact_highweedsandgrassdetails.invoiced,
    fact_highweedsandgrassdetails.invoicedstatus,
    fact_highweedsandgrassdetails.invoicedstatusdateid,
    fact_highweedsandgrassdetails.vendorinvoicenumber,
    fact_highweedsandgrassdetails.vendorcomments,
    fact_casedetails.captypename,
    fact_casedetails.casenumbersubgroup,
    fact_casedetails.casetype,
    fact_casedetails.township AS
    CaseTownship,
    fact_casedetails.casestatus,
    fact_casedetails.caseopendateid,
    fact_casedetails.referredtolegalflag AS
    CaseReferredToLegalFlag,
    fact_casedetails.macinitiatedflag AS
    CaseMACInitiatedFlag,
    fact_casedetails.conversionstatusdesc AS
    CaseConversionStatusDesc,
    fact_casedetails.assignedstaff AS
    CaseAssignedStaff,
    fact_casedetails.completedstaff AS
    CaseCompletedStaff,
    fact_casedetails.closedbystaff AS
    CaseClosedByStaff,
    fact_casedetails.initiator AS
    CaseInitiator,
    fact_casedetails.reasonforinvestigation,
    fact_casedetails.primaryaddress,
    fact_casedetails.parcelnumber,
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.receiveddatetime,
    COALESCE (fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.recordimportdatetime)) AS
    DECIMAL(6, 2))
    AS
    DaysOpen,
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.receiveddatetime,
    COALESCE
    (fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.recordimportdatetime)) AS
    NUMERIC(9, 2))
    * 24 AS
    HoursOpenToMow,
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.assignedtovendordate,
    COALESCE
    (fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.recordimportdatetime)) AS
    NUMERIC(9, 2))
    * 24 AS
    HoursAssignedToMow,
    CASE
    WHEN mowingstatus = 'Mowed'
    OR mowingstatus = 'Closed' THEN 1
    ELSE 0
    END AS
    NumberComplete,
    fact_highweedsandgrassdetails.recordimportdatetime,
    fact_casedetails.macsiebelnumber,
    fact_highweedsandgrassdetails.mowingduedate,
    fact_highweedsandgrassdetails.vendormoweddate,
    fact_highweedsandgrassdetails.lastfeeinvoicedate,
    fact_highweedsandgrassdetails.investigationopendatetime,
    fact_highweedsandgrassdetails.investigationopendate,
    fact_highweedsandgrassdetails.investigationopendateid,
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.investigationopendatetime,
    CASE
    WHEN
    ( vendormoweddatetime IS NOT NULL
    AND vendormoweddatetime <=
    fact_highweedsandgrassdetails.casecloseddate ) THEN
    fact_highweedsandgrassdetails.vendormoweddatetime
    ELSE
    CASE
    WHEN (
    fact_highweedsandgrassdetails.casecloseddate IS
    NOT NULL
    AND fact_highweedsandgrassdetails.casecloseddate
    <=
    fact_highweedsandgrassdetails.recordimportdatetime )
    THEN
    fact_highweedsandgrassdetails.casecloseddate
    ELSE fact_highweedsandgrassdetails.recordimportdatetime
    END
    END) AS NUMERIC(9, 2)) * 24 AS
    AbatementDurationHoursOLD,
    Cast(Datediff([day],
    fact_highweedsandgrassdetails.investigationopendatetime,
    CASE
    WHEN
    COALESCE (vendormoweddatetime,
    fact_highweedsandgrassdetails.casecloseddate) IS
    NOT NULL THEN COALESCE (vendormoweddatetime,
    fact_highweedsandgrassdetails.casecloseddate)
    ELSE
    CASE
    WHEN ( fact_highweedsandgrassdetails.casecloseddate IS NOT NULL
    AND fact_highweedsandgrassdetails.casecloseddate <=
    fact_highweedsandgrassdetails.recordimportdatetime ) THEN
    fact_highweedsandgrassdetails.casecloseddate
    ELSE fact_highweedsandgrassdetails.recordimportdatetime
    END
    END) AS NUMERIC(9, 2)) * 24 AS
    AbatementDurationHours,
    fact_casedetails.assigneddepartment,
    COALESCE (fact_casedetails.assignedstaff, '[null]')
    + '/'
    + COALESCE (fact_casedetails.assigneddepartment, '[null]') AS
    Assigned_Department_Staff,
    fact_highweedsandgrassdetails.casecloseddate,
    fact_highweedsandgrassdetails.receiveddatetime,
    fact_highweedsandgrassdetails.assignedtovendordate,
    fact_highweedsandgrassdetails.vendorinvoiceamount,
    fact_highweedsandgrassdetails.invoicedstatusdate,
    fact_highweedsandgrassdetails.complaint_source,
    fact_highweedsandgrassdetails.inspection_result,
    fact_highweedsandgrassdetails.reason_for_complaint,
    fact_highweedsandgrassdetails.contractcompliancevendor,
    fact_highweedsandgrassdetails.vendor_action,
    fact_highweedsandgrassdetails.date_of_complaint_id,
    fact_highweedsandgrassdetails.date_of_inspection_id,
    CONVERT(INT, Replace(Replace(fact_highweedsandgrassdetails.casenumber,
    'HWG', 0)
    , '-', 0)) AS compliancejoin,
    fact_highweedsandgrassdetails.maccomments AS Expr1,
    dbo.dim_highweedscensustracts.b1_census_tract
    FROM dbo.fact_highweedsandgrassdetails
    INNER JOIN dbo.fact_casedetails
    ON fact_highweedsandgrassdetails.casenumber =
    fact_casedetails.casenumber
    INNER JOIN dbo.dim_highweedscensustracts
    ON fact_highweedsandgrassdetails.casenumber =
    dbo.dim_highweedscensustracts.casenumber
    GROUP BY fact_highweedsandgrassdetails.casenumber,
    fact_highweedsandgrassdetails.row_index,
    fact_highweedsandgrassdetails.mowingsector,
    fact_highweedsandgrassdetails.caseclosedflag,
    fact_highweedsandgrassdetails.casecloseddateid,
    fact_highweedsandgrassdetails.maccomments,
    fact_highweedsandgrassdetails.lastfeeinvoicedateid,
    fact_highweedsandgrassdetails.casehasvendorinfo,
    fact_highweedsandgrassdetails.mowingstatus,
    fact_highweedsandgrassdetails.receiveddateid,
    fact_highweedsandgrassdetails.assignedtovendordateid,
    fact_highweedsandgrassdetails.assignedtovendor,
    fact_highweedsandgrassdetails.reassigneddateid,
    fact_highweedsandgrassdetails.reassignedtovendor,
    fact_highweedsandgrassdetails.currentvendor,
    fact_highweedsandgrassdetails.currentassigneddateid,
    fact_highweedsandgrassdetails.mowingduedateid,
    fact_highweedsandgrassdetails.vendormoweddateid,
    fact_highweedsandgrassdetails.invoiced,
    fact_highweedsandgrassdetails.invoicedstatus,
    fact_highweedsandgrassdetails.invoicedstatusdateid,
    fact_highweedsandgrassdetails.vendorinvoicenumber,
    fact_highweedsandgrassdetails.vendorcomments,
    fact_casedetails.captypename,
    fact_casedetails.casenumbersubgroup,
    fact_casedetails.casetype,
    fact_casedetails.township,
    fact_casedetails.casestatus,
    fact_casedetails.caseopendateid,
    fact_casedetails.referredtolegalflag,
    fact_casedetails.macinitiatedflag,
    fact_casedetails.conversionstatusdesc,
    fact_casedetails.assignedstaff,
    fact_casedetails.completedstaff,
    fact_casedetails.closedbystaff,
    fact_casedetails.initiator,
    fact_casedetails.reasonforinvestigation,
    fact_casedetails.primaryaddress,
    fact_casedetails.parcelnumber,
    fact_highweedsandgrassdetails.vendormoweddatetime,
    Cast(Datediff([day],
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    NUMERIC(9, 2)),
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    fact_highweedsandgrassdetails.casecloseddate
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    END) AS NUMERIC(9, 2)),
    Cast(Datediff(ss,
    fact_highweedsandgrassdetails.investigationopendatetime,
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    WHEN
    COALESCE (vendormoweddatetime,
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    ( fact_highweedsandgrassdetails.casecloseddate IS NOT NULL
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    Thanks Sanjay.
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    BANNER
    Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - Production
    PL/SQL Release 11.1.0.6.0 - Production
    CORE    11.1.0.6.0      Production
    TNS for 32-bit Windows: Version 11.1.0.6.0 - Production
    NLSRTL Version 11.1.0.6.0 - Production
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    *.memory_max_target=350m
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    create table t2(c1 int, c2 char(100));
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    alter session set events '10053 trace name context forever, level 1';
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      pat1     varchar2(1000);
      pat2     varchar2(1000);
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      vc       sys_refcursor;
      vs        varchar2(1000);
    begin
      select ksppstvl into pat1
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          select ksppstvl into pat2
          from sys.xm$ksppi i, sys.xm$ksppcv v   -- views for x$ table
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          and i.ksppinm = '__pga_aggregate_target';
          if pat1 <> pat2 then
            sys.dbms_system.ksdwrt(2, 'yep, I got it!');
            exit;
          end if;
        end if;
      end loop;
    end;
    -- As to alert log file,
    25000th execution
    26000th execution
    27000th execution
    28000th execution
    29000th execution
    30000th execution
    yep, I got it! <-- the pga target changed with 30000th hard parse
    -- Second 10053 trace for same query
    alter session set events '10053 trace name context forever, level 1';
    select /*+ use_hash(t1 t2) */ count(*)
    from t1, t2
    where t1.c1 = t2.c1 and t1.c2 = t2.c2
    alter session set events '10053 trace name context off';With above test case, I found that
    1. Oracle invalidates the query when internal pga aggregate size changes, which is quite natural.
    2. With changed pga aggregate size, Oracle recalculates the cost. These are excerpts from the both of the 10053 trace files.
    -- First 10053 trace file
    PARAMETERS USED BY THE OPTIMIZER
      PARAMETERS WITH ALTERED VALUES
    Compilation Environment Dump
    _smm_max_size                       = 11468 KB
    _smm_px_max_size                    = 28672 KB
    optimizer_use_sql_plan_baselines    = false
    optimizer_use_invisible_indexes     = true
    -- Second 10053 trace file
    PARAMETERS USED BY THE OPTIMIZER
      PARAMETERS WITH ALTERED VALUES
    Compilation Environment Dump
    _smm_max_size                       = 13107 KB
    _smm_px_max_size                    = 32768 KB
    optimizer_use_sql_plan_baselines    = false
    optimizer_use_invisible_indexes     = true
    Bug Fix Control Environment10053 trace file clearly says that Oracle recalculates the cost of the query with the change of internal pga aggregate target size. So, there is a great danger of unexpected plan change while Oracle dynamically controls the memory segments.
    I believe that this is a desinged behavior, but the negative side effect is not negligible.
    I just like to hear your opinions on this behavior.
    Do you think that this is acceptable? Or is this another great feature that nobody wants to use like automatic tuning advisor?
    ================================
    Dion Cho - Oracle Performance Storyteller
    http://dioncho.wordpress.com (english)
    http://ukja.tistory.com (korean)
    ================================

    I made a slight modification with my test case to have mixed workloads of hard parse and logical reads.
    *.memory_target=200m
    *.memory_max_target=200m
    create table t3(c1 int, c2 char(1000));
    insert into t3 select level, level from dual connect by level <= 50000;
    declare
      pat1     varchar2(1000);
      pat2     varchar2(1000);
      va       number;
    begin
      select ksppstvl into pat1
        from sys.xm$ksppi i, sys.xm$ksppcv v
        where i.indx = v.indx
        and i.ksppinm = '__pga_aggregate_target';
      for idx in 1 .. 1000000 loop
        -- try many patterns here!
        execute immediate 'select count(*) from t3 where 10 = mod('||idx||',10)+1' into va;
        if mod(idx, 100) = 0 then
          sys.dbms_system.ksdwrt(2, idx || 'th execution');
          for p in (select ksppinm, ksppstvl
              from sys.xm$ksppi i, sys.xm$ksppcv v
              where i.indx = v.indx
              and i.ksppinm in ('__shared_pool_size', '__db_cache_size', '__pga_aggregate_target')) loop
              sys.dbms_system.ksdwrt(2, p.ksppinm || ' = ' || p.ksppstvl);
          end loop;
          select ksppstvl into pat2
          from sys.xm$ksppi i, sys.xm$ksppcv v
          where i.indx = v.indx
          and i.ksppinm = '__pga_aggregate_target';
          if pat1 <> pat2 then
            sys.dbms_system.ksdwrt(2, 'yep, I got it! pat1=' || pat1 ||', pat2='||pat2);
            exit;
          end if;
        end if;
      end loop;
    end;
    /This test case showed expected and reasonable result, like following:
    100th execution
    __shared_pool_size = 92274688
    __db_cache_size = 16777216
    __pga_aggregate_target = 83886080
    200th execution
    __shared_pool_size = 92274688
    __db_cache_size = 16777216
    __pga_aggregate_target = 83886080
    300th execution
    __shared_pool_size = 88080384
    __db_cache_size = 20971520
    __pga_aggregate_target = 83886080
    400th execution
    __shared_pool_size = 92274688
    __db_cache_size = 16777216
    __pga_aggregate_target = 83886080
    500th execution
    __shared_pool_size = 88080384
    __db_cache_size = 20971520
    __pga_aggregate_target = 83886080
    1100th execution
    __shared_pool_size = 92274688
    __db_cache_size = 20971520
    __pga_aggregate_target = 83886080
    1200th execution
    __shared_pool_size = 92274688
    __db_cache_size = 37748736
    __pga_aggregate_target = 58720256
    yep, I got it! pat1=83886080, pat2=58720256Oracle continued being bounced between shared pool and buffer cache size, and about 1200th execution Oracle suddenly stole some memory from PGA target area to increase db cache size.
    (I'm still in dark age on this automatic memory target management of 11g. More research in need!)
    I think that this is very clear and natural behavior. I just want to point out that this would result in unwanted catastrophe under special cases, especially with some logic holes and bugs.
    ================================
    Dion Cho - Oracle Performance Storyteller
    http://dioncho.wordpress.com (english)
    http://ukja.tistory.com (korean)
    ================================

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