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From "Abhishek Girish (JIRA)" <j...@apache.org>
Subject [jira] [Created] (DRILL-5105) Query time increases exponentially with increasing nested levels
Date Mon, 05 Dec 2016 04:32:58 GMT
Abhishek Girish created DRILL-5105:
--------------------------------------

             Summary: Query time increases exponentially with increasing nested levels
                 Key: DRILL-5105
                 URL: https://issues.apache.org/jira/browse/DRILL-5105
             Project: Apache Drill
          Issue Type: Bug
          Components: Storage - JSON
    Affects Versions: 1.9.0
         Environment: 3 Node Cluster with default memory and configurations. 
            Reporter: Abhishek Girish


The time taken to query any JSON dataset depends on number of nested levels within the dataset.
Also, increasing the complexity of the dataset further impacts the execution time. 

Tabulated below is cached query execution times for a simple select * query over two simple
forms of JSON datasets: 

|| # Levels   || Time (s) Dataset 1 || Time (s) Dataset 2  ||
|1	           |0.22                          |0.27                          |
|2		   |0.23		             |0.25                          |
|4		   |0.24		             |0.22                          |
|8		   |0.22		             |0.23                          |
|16		   |0.34		             |0.48                          |
|24		   |25.76		             |72.51                        |
|26		   |103.48		             |289.6                        |
|28		   |336.12		             |1151.94                    |
|30		   |1342.22		     |4611.19                    |
|32		   |5360.2		             |Expected: ~20k        |

The above table lists query times for 20 different JSON files, 10 belonging to dataset 1 &
10 belonging to dataset 2. Each have 1 record, but the number of nested levels within them
vary as mentioned in the "# Levels" column. 

It appears that the query time almost doubles with addition of a nested level (note that in
the table above, it translates to almost 4x across said levels) 

The below two are the representative datasets, showcasing simple JSON structures with nested
levels.

Structure of Dataset 1:
{code}
{
  "level1": {
    "field1": "a",
    "level2": {
      "field1"": "b",
      ...
    }
  }
}
{code}

Structure of Dataset 2:
{code}
"{
  "level1": {
    "field1": ""a",
    "field2": {
      "nfield1": true,
      "nfield2": 1.1
    },
    "level2": {
      "field1": "b",
      "field2": {
        "nfield1": false,
        "nfield2": 2.2
      },
      ...
    }
  }
}
{code}






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