Cube compression will affect any data availability

Hi,
have an issue where I have a user running exactly the same report with the same selection criteria but getting different results.
The report was run from backlog this morning at 09:56 and again at 10:23. Although the batch was delayed, the data was actually loaded prior to 09:45. However, there was a cube compress running between 09:45 and 10:11.
So, the first report was run during the compress, the second after the compress was complete.
Could the compress process affect data availability to the end users? I can find no other explanation for this behaviour.
Thanks,
R Reddy

Hi,
one thing in advance: The next only applies to oracle databases. I have no experience with other databases.
the compression will usually not affect the reported data. But in case of the user doing the reporting while the compression is ongoing, it is indeed possible that the query will deliver wrong results. The reason is, that the collapsing collects the data of the not yet collapsed infopackages into the F table. The query will usually start parallel processes on all the available infopackage E tables and on the F fact table. Because of the amount of data F- table is larger, so the job there will be the longest running. After collecting the results, the results are added up.
Depending on the timing of the collapse run and the timing of the query it is possible that the collapsed data package was already successfully packed in the fact table, but the deletion of the infopackage was not completed (result: Key figures to high). Or alternativly the infopackage was already deleted but the F-table not completly commited - because of the query (result Key figures to low).
All in all I would strongly recommend to do collapsing at times where no query is run on the cube.
Kind regards,
Jürgen

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    T16_ROW_WID ALIAS_127,
    T13_ROW_WID ALIAS_128,
    T10_ROW_WID ALIAS_129,
    T7_ROW_WID ALIAS_130,
    T4_ROW_WID ALIAS_131,
    T1_ROW_WID ALIAS_132,
    SUM(T20_MKT_TRX) ALIAS_133,
    SUM(T20_MKT_NRX) ALIAS_134
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    T1."PERIOD_DAY_WID" T20_PERIOD_DAY_WID,
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    T13,
    SELECT /*+ no_rewrite */
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    FROM
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    (T1_ROW_WID, T4_ROW_WID, T7_ROW_WID, T10_ROW_WID, T13_ROW_WID, T16_ROW_WID)
    ORDER BY
    T1_ROW_WID ASC NULLS LAST ,
    T4_ROW_WID ASC NULLS LAST ,
    T7_ROW_WID ASC NULLS LAST ,
    T10_ROW_WID ASC NULLS LAST ,
    T13_ROW_WID ASC NULLS LAST ,
    T16_ROW_WID ASC NULLS LAST ]]>/>
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    =========================
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    T13_ROW_WID ALIAS_128,
    T10_ROW_WID ALIAS_129,
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    T1."MARKET_WID" T20_MARKET_WID,
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    T16,
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    T1."ROW_WID" T13_ROW_WID
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    T7,
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    T10_ROW_WID ASC NULLS LAST ,
    T13_ROW_WID ASC NULLS LAST ,
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    =================================
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    <Description
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    Language="AMERICAN"
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    <Description
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    Name="CUSTOMER"
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    JoinCondition="W_SYNM_RX_T_F.CONTACT_WID = W_PERSON_D.ROW_WID"
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    <CubeDimensionalityMap
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    MappedDimension="INS_PLAN_DH.INS_PLAN.DETAIL"
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    Expression="WC_INS_PLAN_DH.ROW_WID">
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    <CubeDimensionalityMap
    Name="LIST_OF_VALUES"
    Dimensionality="LIST_OF_VALUES"
    MappedDimension="LIST_OF_VALUES.LOV_HIERARCHY.DETAIL_LEVEL"
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    Expression="W_LOV_D.ROW_WID">
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    <CubeDimensionalityMap
    Name="POSITIONDH"
    Dimensionality="POSITIONDH"
    MappedDimension="POSITIONDH.POST_HIER.DETAIL"
    JoinCondition="W_SYNM_RX_T_F.OWNER_POSTN_WID = POSTN_DH.ROW_WID"
    Expression="POSTN_DH.ROW_WID">
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    <CubeDimensionalityMap
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    Dimensionality="PRODH"
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    Expression="W_PRODUCT_DH.ROW_WID">
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    <AWCubeOrganization
    MVOption="NONE"
    SparseType="COMPRESSED"
    MeasureStorage="SHARED"
    NullStorage="MV_READY"
    CubeStorageType="NUMBER"
    PrecomputePercent="35"
    PrecomputePercentTop="0"
    PartitionLevel="TIME.CALENDER.MONTHLY"
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    <SparseDimension
    Name="CUSTOMER"/>
    <SparseDimension
    Name="INS_PLAN_DH"/>
    <SparseDimension
    Name="LIST_OF_VALUES"/>
    <SparseDimension
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    <SparseDimension
    Name="PRODH"/>
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    <Description
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