COUNT_DISTINCT

Counts the number of distinct values that appear in a field.

Syntax

COUNT_DISTINCT(VALUE)

Arguments

VALUE: The field you want to count. ‌

Returns

An integer

Notes

Duplicate field values are not counted. For example: for values: "a, b, c, c, c, b" the distinct count would be 3, because the values "b" and "c" repeat and only get counted once. NULLs are not counted.

Example

Data

[
   {
      "GROUP_ID":"G1",
      "USER_ID":"U1",
      "CONNECTION_TIME":"2020-06-26 02:31:29,573"
   },
   {
      "GROUP_ID":"G1",
      "USER_ID":"U2",
      "CONNECTION_TIME":"2020-06-26 18:11:45,783"
   },
   {
      "GROUP_ID":"G2",
      "USER_ID":"Z1",
      "CONNECTION_TIME":"2020-06-26 23:54:27,687"
   },
   {
      "GROUP_ID":"G2",
      "CONNECTION_TIME":"2020-07-26 23:54:27,687"
   },
   {
      "GROUP_ID":"G1",
      "USER_ID":"U2",
      "CONNECTION_TIME":"2021-07-01 02:31:29,573"
   },
   {
      "GROUP_ID":"G1",
      "USER_ID":"U1",
      "CONNECTION_TIME":"2021-07-01 18:11:45,783"
   },
   {
      "GROUP_ID":"G2",
      "USER_ID":"Z1",
      "CONNECTION_TIME":"2021-07-01 23:54:27,687"
   }
]

Query Example 1:

Count the number of distinct entries for each unique entry in a field:

SELECT
   COUNT(DISTINCT data.USER_ID) AS count_distinct_data_user_id:BIGINT,
   data.GROUP_ID AS group_id:STRING 
FROM
   "SAMPLE_DATA_G1U1 - json" 
GROUP BY
   data.GROUP_ID

Results:

{
   "count_distinct_data_user_id":1,
   "group_id":"G2"
}{
   "count_distinct_data_user_id":2,
   "group_id":"G1"
}

Related Functions

COUNT

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