Sha

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  1. 10 votes

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    0 comments  ·  Azure Synapse Analytics » SQL/Loading  ·  Flag idea as inappropriate…  ·  Admin →
    Sha shared this idea  · 
  2. 4 votes

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    0 comments  ·  Azure Data Explorer  ·  Flag idea as inappropriate…  ·  Admin →
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  3. 2 votes

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    0 comments  ·  Azure Synapse Analytics » SQL/Integration  ·  Flag idea as inappropriate…  ·  Admin →
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  4. 26 votes
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    0 comments  ·  Data Factory  ·  Flag idea as inappropriate…  ·  Admin →
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  5. 1,266 votes
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    46 comments  ·  HDInsight » Platform  ·  Flag idea as inappropriate…  ·  Admin →

    [Update] Thanks for your continued feedback on this capability! Rest assured that we are tracking this request closely along with several other platform capabilities our customers have requested. In the meanwhile, you can leverage cluster scaling capability to adjust HDInsight cluster size according to your varying compute needs. Azure Data Factory is another option you can explore for scheduling jobs with automatic creation and deletion of clusters: https://azure.microsoft.com/en-us/documentation/articles/data-factory-data-transformation-activities/

    Adnan Ijaz
    Program Manager
    Microsoft Azure HDInsight

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  6. 181 votes

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    under review  ·  15 comments  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Sha commented  · 

    The workaround of reading it as byte[] does not work when dealing with Gzip compressed files.
    In lot of cases, there is a need to read a larger string and then parse out a smaller portion of it.

    Please add support for reading larger string values...similar to HIVE please.

  7. 12 votes

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    under review  ·  1 comment  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
    Sha supported this idea  · 

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