Michael Rys

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  1. 3 votes
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    0 comments  ·  Azure Synapse Analytics  ·  Flag idea as inappropriate…  ·  Admin →
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  2. 1 vote
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    1 comment  ·  Azure Synapse Analytics  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    Thanks for your request Geoff. Right now we are focusing on finalizing the C# notebook experience and if we see enough requests, we will take a closer look at enabling F# as well. If you have a specific production scenario in mind, feel free to reach out to me via my twitter @MikeDoesBigData.

  3. 3 votes
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  4. 3 votes
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  5. 9 votes
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  6. 4 votes
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  7. 4 votes
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    1 comment  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    Do you mean catalog views a la usql.tables? Or some visual tool experience?

  8. 4 votes
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    1 comment  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    Parquet support with snappy is now in public preview. See https://github.com/Azure/AzureDataLake/blob/master/docs/Release_Notes/2018/2018_Spring/USQL_Release_Notes_2018_Spring.md#built-in-parquet-extractor-and-outputter-is-in-public-preview

    ORC support is in private preview.

    Are there other places you need SNAPPY support?

  9. 5 votes
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  10. 6 votes
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  11. 7 votes
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  12. 8 votes
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    1 comment  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    Why can't you just move the constant comparison into the WHERE clause?

  13. 10 votes
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    under review  ·  1 comment  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    Thanks for filing this request. since we currently do not want to go through the cost of enforcing PK/FK constraints (which could be very costly given tera byte sized tables) we would need to introduce some special syntax to support this. We are adding this now to our backlog.

  14. 12 votes
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    under review  ·  1 comment  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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  15. 11 votes
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  16. 19 votes
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    2 comments  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    One of the problems in scale-out systems is to provide a scalable IDENTITY function to avoid the need to synchronize or serialize. One way to work around it is with ROW_NUMBER(), another is to use GUIDs instead of an integer value, since GUID creation does not need a global coordination.

  17. 43 votes
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  18. 41 votes
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    3 comments  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    Thanks for your request. Indeed row-level updates and deletes are useful and it is on our longterm roadmap. Given the current processing architecture, the current work-arounds are:

    1. Use partitioned tables to partition the data so that you can either drop partitions or at least minimize the reprocessing costs.
    2. Reprocess the data by creating a new version with the dropped data deleted.

  19. 15 votes
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  20. 13 votes
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    3 comments  ·  Data Lake  ·  Flag idea as inappropriate…  ·  Admin →
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    Michael Rys commented  · 

    I would suggest to file this in the ML Studio feedback section.

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