Databases
StackOverflow2013
Postsdbo
PORuby group hashes by value of key
 

Note that there are some explanatory texts on larger screens.

plurals
  1. PORuby group hashes by value of key
    primarykey
    data
    text
    <p>I have an array, which is output by a map/reduce method performed by MongoDB, it looks something like this:</p> <pre><code>[{"minute"=&gt;30.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;0.0, "count"=&gt;299.0}, {"minute"=&gt;30.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;10.0, "count"=&gt;244.0}, {"minute"=&gt;30.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;1.0, "count"=&gt;204.0}, {"minute"=&gt;45.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;0.0, "count"=&gt;510.0}, {"minute"=&gt;45.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;10.0, "count"=&gt;437.0}, {"minute"=&gt;0.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;0.0, "count"=&gt;469.0}, {"minute"=&gt;0.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;10.0, "count"=&gt;477.0}, {"minute"=&gt;15.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;0.0, "count"=&gt;481.0}, {"minute"=&gt;15.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;10.0, "count"=&gt;401.0}, {"minute"=&gt;30.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;0.0, "count"=&gt;468.0}, {"minute"=&gt;30.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;10.0, "count"=&gt;448.0}, {"minute"=&gt;45.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;0.0, "count"=&gt;485.0}, {"minute"=&gt;45.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "type"=&gt;10.0, "count"=&gt;518.0}] </code></pre> <p>You'll notice that there are three distinct values for <code>type</code>, in this case <code>0</code>, <code>1</code>, and <code>2</code>, now want to do is group this array of hashes by the value its <code>type</code> key, so for example this array would end out looking like:</p> <pre><code>{ :type_0 =&gt; [ {"minute"=&gt;30.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;299.0}, {"minute"=&gt;45.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;510.0}, {"minute"=&gt;0.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;469.0}, {"minute"=&gt;15.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;481.0}, {"minute"=&gt;30.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;468.0}, {"minute"=&gt;45.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;485.0} ], :type_1 =&gt; [ {"minute"=&gt;30.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;204.0} ], :type_10 =&gt; [ {"minute"=&gt;30.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;244.0}, {"minute"=&gt;45.0, "hour"=&gt;15.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;437.0}, {"minute"=&gt;0.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;477.0}, {"minute"=&gt;15.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;401.0}, {"minute"=&gt;30.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;448.0}, {"minute"=&gt;45.0, "hour"=&gt;16.0, "date"=&gt;5.0, "month"=&gt;9.0, "year"=&gt;2011.0, "count"=&gt;518.0} ] } </code></pre> <p><em>so I know these example arrays are really large, but I think it may be a more simple problem than I'm making it out to be</em> </p> <p>So basically each array of hashes would be grouped by the value of its <code>type</code> key, and then returned as a hash with an array for each type, any help at all would be really really helpful, even just some helpful hints would be greatly appreciated.</p>
    singulars
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. PTQuestion
    1. USmu is too short
    1. USJP Silvashy
    plurals
    1. This table or related slice is empty.
    1. PL
      singulars
      1. LTLinked
    1. This table or related slice is empty.
    1. PO
      singulars
      1. PTAnswer
    2. PO
      singulars
      1. PTAnswer
    3. PO
      singulars
      1. PTAnswer
    1. VO
      singulars
      1. PORuby group hashes by value of key
      1. This table or related slice is empty.
      1. VTUpMod
    2. VO
      singulars
      1. PORuby group hashes by value of key
      1. This table or related slice is empty.
      1. VTUpMod
    3. VO
      singulars
      1. PORuby group hashes by value of key
      1. This table or related slice is empty.
      1. VTUpMod
    1. This table or related slice is empty.
 

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