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ElastAlert flatline not finding results


ElastAlert flatline not finding results

By : Alexey Krotkov
Date : November 21 2020, 03:00 PM
it fixes the issue I got it...just forgot to post an answer.
Apparently for the field with spaces you need to escape the backslashes so the line in question would look like this:
code :
query: "_type:metric AND _exists_:My\\ Field\\ With\\ Spaces.value"
query: "My\\\\ field\\\\ With\\\\ Spaces.value"


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Grails criteria for finding not in another set of results (or finding non-admin users in Spring)

Grails criteria for finding not in another set of results (or finding non-admin users in Spring)


By : Madel Torres
Date : March 29 2020, 07:55 AM
help you fix your problem Domain outlay: , I'm not sure how to do it with a criteria query, but this HQL works:
code :
def role = ...
def usersWithoutRole = UserRole.executeQuery(
   'from User u where u not in ' +
       '(select ur.user from UserRole ur where ur.role=:r)',
   [r: role])
Finding Matching Nodes in two XML files using linqpad and linq to xml is finding 0 results

Finding Matching Nodes in two XML files using linqpad and linq to xml is finding 0 results


By : Tim
Date : March 29 2020, 07:55 AM
this one helps. The problem is that matchingResults is doing a compare of XElement (reference equality) - not string (string contents). orders and orders2 are selecting firstName and lastName as XElement. So, to get what you expect, either change orders and orders2 to select firstName and lastName as
code :
firstName = file1.Element("FirstName").Value
i.name.firstName.Value == j.name.firstName.Value
XElement FILE1 = XElement.Parse(
@"<Root>
    <Players>
        <Player><FirstName>Bob</FirstName><LastName>Smith</LastName></Player>
        <Player><FirstName>John</FirstName><LastName>Smith</LastName></Player>
    </Players>
</Root>");
    XElement FILE2 = XElement.Parse(
@"<Root>
    <Players>
        <Player><FirstName>Bob</FirstName><LastName>Smith</LastName></Player>
        <Player><FirstName>Mike</FirstName><LastName>Smith</LastName></Player>
    </Players>
</Root>");

var orders = from file1 in FILE1.Descendants("Players").Elements("Player")
                    select new {
                        name=new {
                            firstName=file1.Element("FirstName").Value,
                            lastName=file1.Element("LastName").Value
                        }
                    };

var orders2 = from file2 in FILE2.Descendants("Players").Elements("Player")
                    select new {
                        name=new {
                            firstName=file2.Element("FirstName").Value,
                            lastName=file2.Element("LastName").Value
                        }
                    };

//orders.Dump();
//orders2.Dump();

var matchingResults = from i in orders from j in orders2
                                where (i.name.firstName == j.name.firstName && i.name.lastName == j.name.lastName)
                                select i;
matchingResults.Dump();
MSSQL: Identify series of unchanging (flatline) values in time series

MSSQL: Identify series of unchanging (flatline) values in time series


By : Samantha Groves
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , SQL Fiddle
Using this schema and data (slightly modified, just to make sure everything works):
code :
CREATE TABLE TimeSeries (
  SiteId INT,
  VariableId INT,
  DateTime DATETIME,
  Value NUMERIC(15,5)
);

INSERT INTO TimeSeries VALUES (    5, 1   , '2014-01-27 12:15' ,   5.576     );
INSERT INTO TimeSeries VALUES (    5, 1   , '2014-01-27 12:30' ,   5.487     );
INSERT INTO TimeSeries VALUES (    5, 1   , '2014-01-27 12:45' ,   5.573     );
INSERT INTO TimeSeries VALUES (    5, 1   , '2014-01-27 13:00' ,   5.903     );
INSERT INTO TimeSeries VALUES (    5, 87  , '2014-01-27 12:15' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 87  , '2014-01-27 12:30' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 87  , '2014-01-27 12:45' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 87  , '2014-01-27 13:00' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 88  , '2014-01-27 12:15' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 88  , '2014-01-27 12:30' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 88  , '2014-01-27 12:45' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 88  , '2014-01-27 13:00' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 89  , '2014-01-27 12:15' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 89  , '2014-01-27 12:30' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 89  , '2014-01-27 12:45' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 89  , '2014-01-27 13:00' ,   -273.2    );
INSERT INTO TimeSeries VALUES (    5, 2   , '2014-01-27 12:15' ,   30.61     );
INSERT INTO TimeSeries VALUES (    5, 2   , '2014-01-27 12:30' ,   38.73     );
INSERT INTO TimeSeries VALUES (    5, 2   , '2014-01-27 12:45' ,   32.84     );
INSERT INTO TimeSeries VALUES (    5, 2   , '2014-01-27 13:00' ,   31.62     );
INSERT INTO TimeSeries VALUES (    5, 3   , '2014-01-27 12:15' ,   -9.53     );
INSERT INTO TimeSeries VALUES (    5, 3   , '2014-01-27 12:30' ,   -8.61     );
INSERT INTO TimeSeries VALUES (    5, 3   , '2014-01-27 12:45' ,   -8.76     );
INSERT INTO TimeSeries VALUES (    5, 3   , '2014-01-27 13:00' ,   -9.32     );
INSERT INTO TimeSeries VALUES (    5, 4   , '2014-01-27 12:15' ,   0.298     );
INSERT INTO TimeSeries VALUES (    5, 4   , '2014-01-27 12:30' ,   0.32      );
INSERT INTO TimeSeries VALUES (    5, 4   , '2014-01-27 12:45' ,   0.317     );
INSERT INTO TimeSeries VALUES (    5, 4   , '2014-01-27 13:00' ,   0.302     );

-- Just to make sure the query works
INSERT INTO TimeSeries VALUES (    5, 89  , '2014-01-27 18:30' ,   10        );
INSERT INTO TimeSeries VALUES (    5, 89  , '2014-01-27 19:00' ,   -273.2    ); -- this is not a contiguous value
WITH Sequences AS (
  SELECT
    T.*,
    ROW_NUMBER() OVER (PARTITION BY SiteId, VariableId, Value ORDER BY DateTime) AS RNO,
    ROW_NUMBER() OVER (ORDER BY SiteId, VariableId, DateTime) AS RNE
  FROM
    TimeSeries T
)
SELECT
  S.SiteId,
  S.VariableId,
  S.Value,
  MIN(S.DateTime) AS [Start],
  MAX(S.DateTime) AS [End],
  COUNT(*) AS ValueCount
FROM
  Sequences S
GROUP BY
  S.SiteId,
  S.VariableId,
  S.Value,
  S.RNE - S.RNO
HAVING
  COUNT(*) > 1
| SITEID | VARIABLEID |  VALUE |                          START |                            END | VALUECOUNT |
|--------|------------|--------|--------------------------------|--------------------------------|------------|
|      5 |         87 | -273.2 | January, 27 2014 12:15:00+0000 | January, 27 2014 13:00:00+0000 |          4 |
|      5 |         88 | -273.2 | January, 27 2014 12:15:00+0000 | January, 27 2014 13:00:00+0000 |          4 |
|      5 |         89 | -273.2 | January, 27 2014 12:15:00+0000 | January, 27 2014 13:00:00+0000 |          4 |
Auto-regressive model prediction decays to flatline

Auto-regressive model prediction decays to flatline


By : Daynos de Nory
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , There is nothing wrong. That's the behavior of a stationary ARMA process where predictions converge to the mean.
If you have fixed seasonality, then you could difference the time series at the seasonal lag, i.e. use a SARIMA, and the prediction would converge to a fixed seasonal structure.
Flatline: How to calculate days between two dates

Flatline: How to calculate days between two dates


By : Ajay Medury
Date : March 29 2020, 07:55 AM
To fix the issue you can do Currently, the only way to subtract dates is by first transforming them to an epoch (number of milliseconds since 1970) and then computing the difference:
code :
   (- (epoch "12/03/1990") (epoch "01/01/1988"))
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