Azure Monitor Logs: The AppServiceHTTPLogs table is missing the CsUriQuery field? - azure-monitoring

I'm trying to get some raw log-data from the AppServiceHTTPLogs table by using Azure > Monitor > Logs.
As it turns out, the AppServiceHTTPLogs table doesn't seem to have the CsUriQuery column, which is weird.
For example, the query:
AppServiceHTTPLogs | project CsUriStem
.. returns requested file names as expected, but the query:
AppServiceHTTPLogs| project CsUriQuery
.. returns error (Failed to resolve scalar expression named 'CsUriQuery')
Why's that? Is the CsUriQuery column totally missing at the AppServiceHTTPLogs table?
Also, a weird thing is that another table, W3CIISLog, has the column in place (csUriQuery) but that table, when queried with the Monitor, returns no rows at all (missing data)?!
Any comments? Thanks.

Related

Azure Data Studio not respect specified casing with PostgreSQL [duplicate]

I'm writing a Java application to automatically build and run SQL queries. For many tables my code works fine but on a certain table it gets stuck by throwing the following exception:
Exception in thread "main" org.postgresql.util.PSQLException: ERROR: column "continent" does not exist
Hint: Perhaps you meant to reference the column "countries.Continent".
Position: 8
The query that has been run is the following:
SELECT Continent
FROM network.countries
WHERE Continent IS NOT NULL
AND Continent <> ''
LIMIT 5
This essentially returns 5 non-empty values from the column.
I don't understand why I'm getting the "column does not exist" error when it clearly does in pgAdmin 4. I can see that there is a schema with the name Network which contains the table countries and that table has a column called Continent just as expected.
Since all column, schema and table names are retrieved by the application itself I don't think there has been a spelling or semantical error so why does PostgreSQL cause problems regardless? Running the query in pgAdmin4 nor using the suggested countries.Continent is working.
My PostgreSQL version is the newest as of now:
$ psql --version
psql (PostgreSQL) 9.6.1
How can I successfully run the query?
Try to take it into double quotes - like "Continent" in the query:
SELECT "Continent"
FROM network.countries
...
In working with SQLAlchemy environment, i have got this error with the SQL like this,
db.session.execute(
text('SELECT name,type,ST_Area(geom) FROM buildings WHERE type == "plaza" '))
ERROR: column "plaza" does not exist
Well, i changed == by = , Error still persists, then i interchanged the quotes, like follows. It worked. Weird!
....
text("SELECT name,type,ST_Area(geom) FROM buildings WHERE type = 'plaza' "))
This problem occurs in postgres because the table name is not tablename instead it is "tablename".
for eg.
If it shows user as table name,
than table name is "user".
See this:
Such an error can appear when you add a space in the name of a column by mistake (for example "users ").
QUICK FIX (TRICK)
If you have recently added a field which you have already deleted before and now trying to add the same field back then let me share you this simple trick! i did this and the problem was gone!!
so, now just delete the migration folder entirely on the app,then instead of adding that field you need to now add a field but with the name of which you have never declared on this app before, example if you are trying to add title field then create it by the name of heading and now do the migration process separately on the app and runserver, now go to admin page and look for that model and delete all the objects and come to models back and rename the field that you recently made and name it to which you were wishing it with earlier and do the migrations again and now your problem must have been gone!!
this occurs when the objects are there in the db but you added a field which wasn't there when the earlier objs were made, so by this we can delete those objs and make fresh ones again!
I got the same error when I do PIVOT in RedShift.
My code is similar to
SELECT *
INTO output_table
FROM (
SELECT name, year_month, sales
FROM input_table
)
PIVOT
(
SUM(sales)
FOR year_month IN ('nov_2020', 'dec_2020', 'jan_2021', 'feb_2021', 'mar_2021', 'apr_2021', 'may_2021', 'jun_2021', 'jul_2021', 'aug_2021',
'sep_2021', 'oct_2021', 'nov_2021', 'dec_2021', 'jan_2022', 'feb_2022', 'mar_2022', 'apr_2022', 'may_2022', 'jun_2022',
'jul_2022', 'aug_2022', 'sep_2022', 'oct_2022', 'nov_2022')
)
I tried year_month without any quote (got the error), year_month with double quote (got the error), and finally year_month with single quote (it works this time). This may help if someone in the same situation like my example.

Problems using cubeSQL trying to add data to table

I just got cubeSQL admin and SQL Lite manager, and am new at this, trying to create a database for an mobile app to get video info and urls from to stream. I set up a database and connected it to the manager, but cannot get it to accept the script that I am using. This is what i am putting in to get it to add data to a table.
INSERT INTO Sabbath School
VALUES
(number 1, hello, great, google.com, google.com),
This is the error I get:
Here are screenshots of what I am working with. The first one is the database:
The next one is the table configuration
The final one is what the table looks like.
Any help would be most appreciated as to what I am doing wrong here. I am really not knowing what I am doing and trying to learn how to use sql.
This looks a "quoted identifier" issue. Since the table name has a space in it, you will need to surround the table in double quotes. The query parser believes your table name is "Sabbath" and is expecting the VALUES keyword next, or an opening parenthesis ( to start your (column list). Since it sees "School" next, you get the syntax error. My preference is to avoid spaces in table names so you don't need to quote it all the time.

Google BigQuery: Error: Invalid schema update. Field has changed mode from REQUIRED to NULLABLE

I'm trying to append the results of a query to another table.
It doesn't work and sends out the following error:
Error: Invalid schema update. Field X has changed mode from REQUIRED to NULLABLE.
The field X is indeed REQUIRED, but I don't try to insert any NULL-values into that specific column (the whole table doesn't have a single NULL value).
This looks like a bug to me. Anyone knows a way to work around this issue?
The issue is fixed after switching from Legacy SQL to Standard SQL.

PostgreSQL "Column does not exist" but it actually does

I'm writing a Java application to automatically build and run SQL queries. For many tables my code works fine but on a certain table it gets stuck by throwing the following exception:
Exception in thread "main" org.postgresql.util.PSQLException: ERROR: column "continent" does not exist
Hint: Perhaps you meant to reference the column "countries.Continent".
Position: 8
The query that has been run is the following:
SELECT Continent
FROM network.countries
WHERE Continent IS NOT NULL
AND Continent <> ''
LIMIT 5
This essentially returns 5 non-empty values from the column.
I don't understand why I'm getting the "column does not exist" error when it clearly does in pgAdmin 4. I can see that there is a schema with the name Network which contains the table countries and that table has a column called Continent just as expected.
Since all column, schema and table names are retrieved by the application itself I don't think there has been a spelling or semantical error so why does PostgreSQL cause problems regardless? Running the query in pgAdmin4 nor using the suggested countries.Continent is working.
My PostgreSQL version is the newest as of now:
$ psql --version
psql (PostgreSQL) 9.6.1
How can I successfully run the query?
Try to take it into double quotes - like "Continent" in the query:
SELECT "Continent"
FROM network.countries
...
In working with SQLAlchemy environment, i have got this error with the SQL like this,
db.session.execute(
text('SELECT name,type,ST_Area(geom) FROM buildings WHERE type == "plaza" '))
ERROR: column "plaza" does not exist
Well, i changed == by = , Error still persists, then i interchanged the quotes, like follows. It worked. Weird!
....
text("SELECT name,type,ST_Area(geom) FROM buildings WHERE type = 'plaza' "))
This problem occurs in postgres because the table name is not tablename instead it is "tablename".
for eg.
If it shows user as table name,
than table name is "user".
See this:
Such an error can appear when you add a space in the name of a column by mistake (for example "users ").
QUICK FIX (TRICK)
If you have recently added a field which you have already deleted before and now trying to add the same field back then let me share you this simple trick! i did this and the problem was gone!!
so, now just delete the migration folder entirely on the app,then instead of adding that field you need to now add a field but with the name of which you have never declared on this app before, example if you are trying to add title field then create it by the name of heading and now do the migration process separately on the app and runserver, now go to admin page and look for that model and delete all the objects and come to models back and rename the field that you recently made and name it to which you were wishing it with earlier and do the migrations again and now your problem must have been gone!!
this occurs when the objects are there in the db but you added a field which wasn't there when the earlier objs were made, so by this we can delete those objs and make fresh ones again!
I got the same error when I do PIVOT in RedShift.
My code is similar to
SELECT *
INTO output_table
FROM (
SELECT name, year_month, sales
FROM input_table
)
PIVOT
(
SUM(sales)
FOR year_month IN ('nov_2020', 'dec_2020', 'jan_2021', 'feb_2021', 'mar_2021', 'apr_2021', 'may_2021', 'jun_2021', 'jul_2021', 'aug_2021',
'sep_2021', 'oct_2021', 'nov_2021', 'dec_2021', 'jan_2022', 'feb_2022', 'mar_2022', 'apr_2022', 'may_2022', 'jun_2022',
'jul_2022', 'aug_2022', 'sep_2022', 'oct_2022', 'nov_2022')
)
I tried year_month without any quote (got the error), year_month with double quote (got the error), and finally year_month with single quote (it works this time). This may help if someone in the same situation like my example.

VS 2005 SSIS Error value origin

I have an ssis package created in vs 2005 that has started to give me the following error:
[Lawson Staging Table [4046]] Error: There was an error with input column "JOB_CODE" (4200) on input "OLE DB Destination Input" (4059). The column status returned was: "The value violated
the integrity constraints for the column.".
My first question is: what are the 4046, 4200 & 4059 values following my table, column and destination?
My second question is about the integrity constraint message. The destination table is a heap (no keys or indexes) with no constraints. The destination column is defined as a varchar(10). The input column is from oracle, is defined as char(9) and is called job_code. So - where is there an integrity constraint defined?
The final question is about the select statement; looks like the following:
Select ...
,lpad(trim(e.job_code),10,'0') as job_code ...
If I take the lpad and trim functions out, it works but I need these functions in place because my spec calls for a fixed length column padded with leading zeros. This column returns data as expected in TOAD but fails in the ssis package. Does anyone see an issue with how the functions are being used?
Since this package worked in the past but suddenly started to throw this error, I'm assuming that new invalid data has come into play. however, recently added rows don't seem to be any different then historical records.
Those numbers are more likely to be the ids assigned to the each task/table/column etc.
You could probably go to the advanced editor of the data flow task and look at the input and output properties. You can see that for each input or for each column there is an ID assigned.
Next: The error that you are getting occurs usually when "Allow Nulls" option is unchecked.
Try this:
Look at the name of the column for this error/warning.
Go to SSMS and find the table
Allow Nulls for that Column
Save the table
Rerun the SSIS