GET Model Table Chunk

GET /models/(mid)/tables/(aid)/arrays/(array)/chunk


This request is deprecated. Use GET /models/(mid)/arraysets/(aid)/data instead.

Used to retrieve a chunk (subset of rows and columns) from a 1D arrayset array artifact. Data is returned as a JSON array-of-arrays containing column-oriented data, one array for each column specified in the request. Both rows and columns may be specified using arbitrary combinations of half-open ranges and individual indices. The ordering of results (both rows and columns) always matches the order of rows and columns in the request. Out-of-range rows or columns are ignored, in which case the results will still contain in-range data. If the caller specifies a name using the optional “index” query parameter in the request, the response will be adjusted to include an additional index column with the given name and zero-based row indices. The optional “sort” query parameter can be used to return the results in sorted order.

  • mid (string) – Unique model identifier.
  • aid (string) – Arrayset artifact name.
  • array (int) – Array index.
Query Parameters:
  • rows – Chunk rows to retrieve.
  • columns – Chunk columns to retrieve.
  • index – Optional index column to append to the results.
  • sort – Response sort order.
Response Headers:

Sample Request

GET /models/6b3c85df433e499e9680a135cabe3ab2/tables/test-array-set/arrays/0/chunk?rows=0,1,2,3,4,5,6,7,8,9&columns=0 HTTP/1.1
Host: localhost:8093
Authorization: Basic c2x5Y2F0OnNseWNhdA==
Accept-Encoding: gzip, deflate, compress
accept: application/json
User-Agent: python-requests/1.2.3 CPython/2.7.5 Linux/2.6.32-358.23.2.el6.x86_64

Sample Response

HTTP/1.1 200 OK
Date: Tue, 26 Nov 2013 16:40:16 GMT
Content-Length: 138
Content-Type: application/json
Server: CherryPy/3.2.2

  "sort": null,
  "column-names": ["int8"],
  "rows": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
  "data": [ [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] ],
  "columns": [0]

Complex Request

The following request retrieves rows [0, 10), 15, 16, and 17 and columns [2, 5) and 8:

GET /models/(mid)/tables/(aid)/arrays/(array)chunk?rows=0-10,15,16,17&columns=2-5,8