Databases
StackOverflow2013
Postsdbo
PO
 

Note that there are some explanatory texts on larger screens.

plurals
  1. PO
    primarykey
    data
    text
    <p>I don't think this is possible in pure T-SQL without using cursors. But with cursors, stuff will usually be very slow. Cursors are processing the table row-by/row, and some people call this "slow-by-slow".</p> <p>But you can create your own aggregate function (see <a href="http://technet.microsoft.com/en-us/library/ms182741.aspx" rel="nofollow">Technet</a> for more details). You have to implement the function using the .NET CLR (e.g. C# or <a href="http://rdotnet.codeplex.com/" rel="nofollow">R.NET</a>).</p> <p>For a nice example see <a href="https://www.simple-talk.com/sql/t-sql-programming/concatenating-row-values-in-transact-sql/" rel="nofollow">here</a>.</p> <p>I think interfacing R with SQL is a very nice solution. Oracle is offering this combo as a <a href="http://www.oracle.com/technetwork/database/options/advanced-analytics/r-enterprise/index.html" rel="nofollow">commercial product</a>, so why not going the same way with SQL Server.</p> <p>When integrating R in the code using the own aggregate functions, you will only pay a small performance penalty. Own aggregate functions are quite fast according to the Microsoft documentation: <a href="http://technet.microsoft.com/en-us/library/ms131075.aspx" rel="nofollow">"Managed code generally performs slightly slower than built-in SQL Server aggregate functions"</a>. And the <a href="http://rdotnet.codeplex.com/" rel="nofollow">R.NET solution</a> seems also to be quite fast by <a href="http://rdotnet.codeplex.com/documentation" rel="nofollow">loading the native R DLL directly in the running process</a>. So it should be much faster than using R over ODBC.</p>
    singulars
    1. This table or related slice is empty.
    1. POCreate a function with whole columns as input and output
      singulars
      1. PTQuestion
    1. PTAnswer
    1. USstefan.schwetschke
    1. USstefan.schwetschke
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTUpMod
    2. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTUpMod
    3. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTUpMod
    1. COHi thanks for answering. Integrating R with SQL is possible via ODBC (I'm currently doing so). However due to high amount of data (100M+ rows, 50+ cols) in each table this option is not doable for near real time analytics (besides any licensing issue when deploying as SaaS). Thanks for the example, I'll read it all. However it seems we're still on aggregate output. My idea was: 1) the `Accumulate` method stores each value read through the rows, 2) doing something, 3) returning a vector with length=number_of_rows_read. The `c#` sice is fine, but can this type of assembly be deployed in SQL?
      singulars
      1. PO
      1. USMichele
    2. COregarding R and DB integration it seems that the only (production) useful work has been done by Teradata and Revolution Analytics. Where the R interpreter is claimed to run in-database, without the need of copying and moving data from the DB to the R Server (like in `Oracle` and `SAP Hana` via `RServe`)
      singulars
      1. PO
      1. USMichele
    3. CO@Michele: It looks like the solution I described should work similar to the Teradata solution you describe: The R DLL should be loaded directly in the database server process. Could not test it yet, but based on the documentation it should work this way.
      singulars
      1. PO
      1. USstefan.schwetschke
 

Querying!

 
Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload