I have a grafana dashboard connected to mysql, my question is how can I create a status of the data that is selected in a Query, for example I have a diseases table that keeps track of all the people who got measles in the last week :
SELECT Tuberculosis, last_update
FROM indicadores_de_salud
WHERE id_municipio = 1
ORDER BY last_update desc;
With this I want to make a kind of condition, for example, if the result of the query is from 0 to 5 cases of measles, the status should be normal and a green color will appear on the graph, if it is from 5 to 10 it should show a warning status, and if it is greater than 10, it shows an alert status.
I have searched the internet for several hours but I only find outdated information, any help is appreciated in advance
This is the model of the MySQL tables
Each "indicador_de_salud" table has a table called "info_municipio" that stores the records of patients and is consulted through the "last_update" field.
Query result:
Related
I have a PnL table with 3 columns. date, region, product.
I'm trying to group all PnL rows by region and product. One way that i've tried is to sum by region and product as following
select PnL : sum(PnL) by region, product from table where date within (d1;d2)
The issue I have is unexpected results. For a given date range (d1;d2) I'm getting the results I'm expecting. However for date range (d1;d2+1) I'm getting 0 everywhere.
I checked the data availability on the d2+1 and data is already available on that day.
Please note that the server is stateless and it is not possible to use intermediate results in variables.
What is the best way to achieve a grouping sum in KDB?
Question is regarding how to get top x% of records according to their ratings.
For example I have a table with a few columns, one of which is rating:
rating smallint
value of rating is always positive.
My goal is to select top x% of entries according to their rating.
For example, for top 20%, if set of selected rows contains ratings like:
1,3,4,4,5,2,7,10,9
Then top 20% would be records with range from 8 to 10 → records with rating 9 and 10.
I implemented it in Django but it takes 2 calls to DB and I believe it can be easily achieved via SQL in PostgreSQL by just one call.
Any ideas how to implement it?
Considering that the max rating available in the column is your base for max calculation.
Try this workaround:
select * from sample where rating >=(select max(rating)-max(rating)*20/100 from sample)
Demo on fiddle
I have an incident queue, consisting of a record number-string, the open time - datetime, and a close time-datetime. The records go back a year or so. What I am trying to get is a line graph displaying the queue volume as it was at 8PM each day. So if a ticket was opened before 8PM on that day or anytime on a previous day, but not closed as of 8, it should be contained in the population.
I tried the below, but this won't work because it doesn't really take into account multiple days.
If DATEPART('hour',[CloseTimeActual])>18 AND DATEPART('minute',[CloseTimeActual])>=0 AND DATEPART('hour',[OpenTimeActual])<=18 THEN 1
ELSE 0
END
Has anyone dealt with this problem before? I am using Tableau 8.2, cannot use 9 yet due to company license so please only propose 8.2 solutions. Thanks in advance.
For tracking history of state changes, the easiest approach is to reshape your data so each row represents a change in an incident state. So there would be a row representing the creation of each incident, and a row representing each other state change, say assignment, resolution, cancellation etc. You probably want columns to represent an incident number, date of the state change and type of state change.
Then you can write a calculated field that returns +1, -1 or 0 to to express how the state change effects the number of currently open incidents. Then you use a running total to see the total number open at a given time.
You may need to show missing date values or add padding if state changes are rare. For other analytical questions, structuring your data with one record per incident may be more convenient. To avoid duplication, you might want to use database views or custom SQL with UNION ALL clauses to allow both views of the same underlying database tables.
It's always a good idea to be able to fill in the blank for "Each record in my dataset represents exactly one _________"
Tableau 9 has some reshaping capability in the data connection pane, or you can preprocess the data or create a view in the database to reshape it. Alternatively, you can specify a Union in Tableau with some calculated fields (or similarly custom SQL with a UNION ALL clause). Here is a brief illustration:
select open_date as Date,
"OPEN" as Action,
1 as Queue_Change,
<other columns if desired>
from incidents
UNION ALL
select close_date as Date,
"CLOSE" as Action,
-1 as Queue_Change,
<other columns if desired>
from incidents
where close_date is not null
Now you can use a running sum for SUM(Queue_Change) to see the number of open incidents over time. If you have other columns like priority, department, type etc, you can filter and group as usual in Tableau. This data source can be in addition to your previous one. You don't have ta have a single view of the data for every worksheet in your workbook. Sometimes you want a few different connections to the same data at different levels of detail or for perspectives.
I just started using MySQL Workbench (6.1). The default limit for queries is 1,000 and that's fine I want to keep that.
But the results from the action output message will therefore always say "1000 rows returned".
Is there a setting to see the number of records that would be returned in the query had their been no limit? For sanity checking query results?
I know this is late by a few years, but I think you're asking for a way to see total row count in the bottom of the results pane, like in SQL Server. In SQL Server, you would also go in the messages pane and it would say how many rows were returned. I was actually looking for exactly what you were asking for as well, and seems like there is no way to find that. If you have an ID in your table that is just numeric and is in numeric order, you could order by ID desc and look at the biggest number there. That is what I've decided to do.
The result is not always "1000 rows returned". If there are less records than that you will get the actual count. If you want to know the total number of rows in a table do a select count(*) from table. Alternatively, you can switch off the automatic limit and have all records returned by MySQL Workbench, but that can be time + memory consuming for large tables.
I think removing the row limit will help. By default, MySQL workbench will limit the result set to 1000 rows but you can always disable the limit. Check out https://superuser.com/questions/240291/how-to-remove-1000-row-limit-in-mysql-workbench-queries on how to do that.
You can run a second query to check that
select count(*) from (your original query) as t;
this will return the total rows in actual result.
You can use the SQL count function. It returns the count of the total number of rows a query returns.
A sample query:
select count(*) from tableName where field1 = value1
In workbench, in the dropdown menu at the top, set it to dont limit Then run the query to extract data from table Then under the output pane below, the total count of the query results will be displayed in the message column
I'm very new to Tableau, and (maybe because of that) struggling with a graph setting. I need to plot a simple line graph showing the ratio between the number of users that returned after registered x days ago and the total number of users that registered x days ago (regardless on the fact that they returned or not). To do this, I have two tables: TableA having (simplifying) USER_ID and DATE_REGISTRATION, and TableB USER_ID and VISIT_DATE. Both table are joined by USER_ID.
I'm able, of course, to plot each individually (i.e. count distinct of USER_ID with DATE_REGISTRATION on the x axis to get the number of new users registered per day), but not able to combine them. I guess the problem is that I'm using either DATE_REGISTRATION or VISIT_DATE on the x-axis, but in this case I can get one or the other info, but not the two combined.
Ultimately, I would like to be able to have, for each date, both the number of users visiting and the number of user who registered.
Thanks a lot in advance.
Raffaele
Well, problem is your database is not ready to generate those analysis. Your table is user_id oriented, meaning you can do lots of analysis centered on the user_id. To do date oriented you need a table like:
Date User_id Type of event
01/01/2014 1234 Registration
02/01/2014 1234 Visit
Then you can drag Date and Type of event to Columns, and COUNTD(User_id) to rows, to get a bar chart that will show, for each day, how many people registered that day and how many people visited that same day.
Additionally, you can still join this table with the one you have, to have the registration date for each user_id. That way you can, for instance, calculate how many days have passed since registration.