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Posted to dev@drill.apache.org by "Charles Givre (JIRA)" <ji...@apache.org> on 2019/03/05 23:54:00 UTC
[jira] [Created] (DRILL-7077) Add Function to Facilitate Time
Series Analysis
Charles Givre created DRILL-7077:
------------------------------------
Summary: Add Function to Facilitate Time Series Analysis
Key: DRILL-7077
URL: https://issues.apache.org/jira/browse/DRILL-7077
Project: Apache Drill
Issue Type: New Feature
Affects Versions: 1.16.0
Reporter: Charles Givre
Assignee: Charles Givre
When analyzing time based data, you will often have to aggregate by time grains. While some time grains will be easy to calculate, others, such as quarter, can be quite difficult. These functions enable a user to quickly and easily aggregate data by various units of time. Usage is as follows:
{code:java}
SELECT <fields>
FROM <data>
GROUP BY nearestDate(<timestamp_column>, <time increment>{code}
So let's say that a user wanted to count the number of hits on a web server per 15 minute, the query might look like this:
{code:java}
SELECT nearestDate(`eventDate`, '15MINUTE' ) AS eventDate,
COUNT(*) AS hitCount
FROM dfs.`log.httpd`
GROUP BY nearestDate(`eventDate`, '15MINUTE'){code}
Currently supports the following time units:
* YEAR
* QUARTER
* MONTH
* WEEK_SUNDAY
* WEEK_MONDAY
* DAY
* HOUR
* HALF_HOUR / 30MIN
* QUARTER_HOUR / 15MIN
* MINUTE
* 30SECOND
* 15SECOND
* SECOND
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Re: [jira] [Created] (DRILL-7077) Add Function to Facilitate Time
Series Analysis
Posted by Ted Dunning <te...@gmail.com>.
Nice.
On Tue, Mar 5, 2019 at 4:04 PM Charles Givre (JIRA) <ji...@apache.org> wrote:
> Charles Givre created DRILL-7077:
> ------------------------------------
>
> Summary: Add Function to Facilitate Time Series Analysis
> Key: DRILL-7077
> URL: https://issues.apache.org/jira/browse/DRILL-7077
> Project: Apache Drill
> Issue Type: New Feature
> Affects Versions: 1.16.0
> Reporter: Charles Givre
> Assignee: Charles Givre
>
>
> When analyzing time based data, you will often have to aggregate by time
> grains. While some time grains will be easy to calculate, others, such as
> quarter, can be quite difficult. These functions enable a user to quickly
> and easily aggregate data by various units of time. Usage is as follows:
> {code:java}
> SELECT <fields>
> FROM <data>
> GROUP BY nearestDate(<timestamp_column>, <time increment>{code}
> So let's say that a user wanted to count the number of hits on a web
> server per 15 minute, the query might look like this:
> {code:java}
> SELECT nearestDate(`eventDate`, '15MINUTE' ) AS eventDate,
> COUNT(*) AS hitCount
> FROM dfs.`log.httpd`
> GROUP BY nearestDate(`eventDate`, '15MINUTE'){code}
> Currently supports the following time units:
> * YEAR
> * QUARTER
> * MONTH
> * WEEK_SUNDAY
> * WEEK_MONDAY
> * DAY
> * HOUR
> * HALF_HOUR / 30MIN
> * QUARTER_HOUR / 15MIN
> * MINUTE
> * 30SECOND
> * 15SECOND
> * SECOND
>
>
>
>
>
>
>
> --
> This message was sent by Atlassian JIRA
> (v7.6.3#76005)
>