I am currently working on an access database where we collect customers feedback.
I have one table with the following structure and data :
And I want to display the following result :
Indeed, what I want is a MS Access Request that displays, for every date value in my table, the amount of records that matches the same date on the column "date_import" (2nd column of the result) and the amount of records that matches this criteria on the column "date_answered" (3rd column of the result).
I have no idea how to do this since all the subqueries should be aware of each other.
Has anyone ever faced this issue and might be able to help me ?
Thanks in advance,
P.S. : I'm using the 2016 version of MS Access but I'm pretty sure what I'm trying to do is also achievable in previous versions of Access, this is what I added several tags.
Hmmm . . . I think this will work:
select dte, sum(is_contact), sum(is_answer)
from (select date_import as dte, 1 as is_contact, 0 as is_answer
from t
union all
select date_answers, 0 as is_contact, 1 as is_answer
from t
) t
group by dte;
Not all versions of MS Access allow union all in the FROM clause. If that is a problem, you can create a view and then select from the view.
Related
is there any way within snowflake/sql query to view what tables are being queried the most as well as what columns? I want to know what data is of most value to my users and not sure how to do this programatically. Any thoughts are appreciated - thank you!
2021 update
The new ACCESS_HISTORY view has this information (in preview right now, enterprise edition).
For example, if you want to find the most used columns:
select obj.value:objectName::string objName
, col.value:columnName::string colName
, count(*) uses
, min(query_start_time) since
, max(query_start_time) until
from snowflake.account_usage.access_history
, table(flatten(direct_objects_accessed)) obj
, table(flatten(obj.value:columns)) col
group by 1, 2
order by uses desc
Ref: https://docs.snowflake.com/en/sql-reference/account-usage/access_history.html
2020 answer
The best I found (for now):
For any given query, you can find what tables are scanned through looking at the plan generated for it:
SELECT *, "objects"
FROM TABLE(EXPLAIN_JSON(SYSTEM$EXPLAIN_PLAN_JSON('SELECT * FROM a.b.any_table_or_view')))
WHERE "operation"='TableScan'
You can find all of your previous ran queries too:
select QUERY_TEXT
from table(information_schema.query_history())
So the natural next step would be combine both - but that's not straightforward, as you'll get an error like:
SQL compilation error: argument 1 to function EXPLAIN_JSON needs to be constant, found 'SYSTEM$EXPLAIN_PLAN_JSON('SELECT * FROM a.b.c')'
The solution would be to combine the queries from the query_history() with the SYSTEM$EXPLAIN_PLAN_JSON outside (to make the strings constant), and then you will be able to find out the most queried tables.
I am trying to replicate the Google Analyitcs data in Big Query but couldnt do that.
Basically I am using Custom Dimension 40 (user subscription status)
but I am getting wrong numbers in BQ.
Can someone help me on this?
I am using this query but couldn't find it out the exact one.
SELECT
(SELECT value FROM hits.customDimensions where index=40) AS UserStatus,
COUNT(hits.transaction.transactionId) AS Unique_Purchases
FROM
`xxxxxxxxxxxxx.ga_sessions_2020*` AS GA, --new rollup
UNNEST(GA.hits) AS hits
WHERE
(SELECT value FROM hits.customDimensions where index=40) IN ("xx001","xxx002")
GROUP BY 1
I am getting this from big query which is wrong.
I have check out the dates also but dont know why its wrong.
Your question is rather unclear. But because you want something to be unique and numbers are mysteriously not what you want, I would suggest using COUNT(DISTINCT):
COUNT(DISTINCT hits.transaction.transactionId) AS Unique_Purchases
As far as I understand, you imported Google Analytics data into Bigquery and you are trying to group the custom dimension with index 40 and values ("xx001","xxx002") in order to know how many hit transactions were performed in function of these dimension values.
Replicating your scenario and trying to execute the query you posted, I got the following error.
However, I created a query that could help with your use-case. At first, it selects the transactionId and dimension values with the transactionId different from null and with index value equal to 40, then the grouping is done by the dimension value, filtered with values equals to "xx001"&"xxx002".
WITH tx AS (
SELECT
HIT.transaction.transactionId,
CD.value
FROM
`xxxxxxxxxxxxx.ga_sessions_2020*` AS GA,
UNNEST(GA.hits) AS HIT,
UNNEST(HIT.customDimensions) AS CD
WHERE
HIT.transaction.transactionId IS NOT NULL
AND
CD.index = 40
)
SELECT tx.value AS UserStatus, count(tx.transactionId) AS Unique_Purchases
FROM tx
WHERE tx.value IN ("xx001","xx002")
GROUP BY tx.value
For further details about the format and schema of the data that is imported into BigQuery, I found this document.
I'm trying to query my database to pull only duplicate/old data to write to a scratch section in excel (Using a macro passing SQL to the DB).
For now, I'm currently testing in Access alone to only filter out the old data.
First, I'm trying to filter my database by a specifed WorkOrder, RunNumber, and Row.
The code below only filters by Work Order, RunNumber, and Row. ...but SQL doesn't like when I tack on a 2nd AND statement; so this currently isn't working.
SELECT *
FROM DataPoints
WHERE (((DataPoints.[WorkOrder])=[WO2]) AND ((DataPoints.[RunNumber])=6) AND ((DataPoints.[Row]=1)
Once I figure that portion out....
Then if there is only 1 entry with specified WorkOrder, RunNumber, and Row, then I want filter it out. (its not needed in the scratch section, because its data is already written to the main section of my report)
If there are 2 or more entries with said criteria(WO, RN, and Row), then I want to filter out the newest entry based on RunDate and RunTime, and only keep all older entries.
For instance, in the clip below. The only item remaining in my filtered query will be the top entry with the timestamp 11:47:00AM.
.
Are there any recommended commands to complete this problem? Any ideas are helpful. Thank you.
I would suggest something along the lines of the following:
select t.*
from datapoints t
where
t.workorder = [WO2] and
t.runnumber = 6 and
t.row = 1 and
exists
(
select 1
from datapoints u
where
u.workorder = t.workorder and
u.runnumber = t.runnumber and
u.row = t.row and
(u.rundate > t.rundate or (u.rundate = t.rundate and u.runtime > t.runtime))
)
Here, if the correlated subquery within the where clause finds a record with the same workorder, runnumber and row, but with either a later rundate or the same rundate and a later runtime, then the record is returned by the main query.
You need two more )'s at the end of your code snippet. Or you can delete the parentheses completely in this example, MS Access will ad them back in as it deems necessary.
M.S. Access SQL can be tricky as it is not standards compliant and either doesn't allow for super complex queries, or it needs an ugly work around, like having a parentheses nesting nightmare when trying to join more than two tables.
For these reasons, I suggest using multiple Access queries to produce your results.
I'm experiencing trouble returning a query to return all columns within a table but limited to the DATE-data-type "enroll_date" column containing '30-Jan-07'; the closest solution is with the below query but neither data is displayed nor the entire workbook-just the column-which leads me to believe that this is not just an issue with approach but perhaps a formatting issue as well.
SELECT TO_DATE(enroll_date, 'DD-MM-YY')
FROM student.enrollment
WHERE enroll_date= '30-Jan-07';
Again, I need to display all columns but only rows only specific to the date '30-Jan-07'. I'm sure a nested solution is ideal and somehow the right solution, but unfortunately my chops aren't there yet but I'm working on it! :D
UPDATE
Please see attached screenshot of output. The query/solution should retrieve all columns and rows enclosed within the red-rectangle mark-up-thank you!
One possible problem is that the date column has a time component (this is hidden in SQL). One method is to use trunc():
SELECT e.*
FROM student.enrollment e
WHERE TRUNC(e.enroll_date) = DATE '2007-01-30';
You can specify whichever columns you want in the following query:
SELECT col1, col2, col3, ...
FROM student.enrollment
WHERE TO_CHAR(enroll_date, 'DD-MON-YY') = '30-JAN-07';
Sorry for the extra long title but I am having trouble describing the question.
Essentially I have a code that links a bunch of tables together and I have the same date used probably 10 times throughout the code to limit the amount of data I am looking into.
I will have to change the date sometimes and all 10 will be changed to the same date again. Is there some sort of code that at the top/bottom of code I can just change it once and have the other dates read off that or something? Or is only way to change each individual date separately.
I imagine some way of putting in place of the date "x" and then at top or bottom of query saying x = 2016-01-01
I tried searching this but never got what I was looking for. I tried a declare but I must not be using it correctly if that is how it works...
Thanks in advance and sorry for the long question!
In some of the comments I was asked more questions, honestly, I am fairly new and not sure what 'SQL' im using, I use Teradata SQL Assistant as my program if that means anything to anyone?
Also, for some sample coding this is what im essentially trying to do
select
1
2
3
4
from xtable
where effective_date > '2016/01/01'
I do this in many different fashions but would love something that I could do so the '2016/01/01' equals effdate and then somewhere above I can set effdate = '2016'/01/01' and have the table now read
select
1
2
3
4
from xtable
where effective_date > effdate
hope this adds some clarity? I have tried doing a declare # or set, can't seem to get language correct...
Most SQL dialects support the use of variables, one way or the other. However, I find that I sometimes use a CTE for this purpose:
with params as (
select cast('2016-01-01' as date) as thedate
)
select . . .
from params cross join
. . .
Because params has only one row, I haven't seen it affect the query plan. Sometimes, it needs to be repeated in a subquery:
with params as (
select cast('2016-01-01' as date) as thedate
)
select . . .
from params cross join
table1 . . .
(select . .
from params cross join
. . .
) s
on . . .
CTEs (the with statement) is ANSI standard and supported by almost all databases.
With MySQL, you may be able to make use of an inline view. As an example:
SELECT fum.fee
FROM (SELECT '2016-01-12' + INTERVAL 0 DAY AS mydate) i
JOIN fum
ON fum.fi < i.mydate
AND fum.fo > i.mydate
For MySQL, you can also use a user-defined variable. The value of a user-defined variable is persisted at the session level.
A value can be set as a separate statement, and the query can reference that multiple times:
SET #mydateval = '2016-01-13'
SELECT fum.fee
FROM fum
WHERE fum.fi < #mydateval
AND fum.fo > #mydateval
It's also possible to assign a value to a user-defined variable within a statement (for example, using an inline view). A reference to the variable returns the value that is currently assigned (at the time the reference is evaluated). The MySQL Reference Manual documents warnings about the behavior.
If you set the value of the variable in one statement, and then reference it in another statement, it will be fine, as long as there isn't something else that modifies the value of the user-defined variable, like a user-defined function.