DAX reverse filter - filter

Working in Power BI -- pretty straight forward, looking to do the exact opposite of the formula below:
newtable = CALCULATETABLE(
table1, FILTER(
table2, table2[ID]
)
)
Right now this is filtering 675 of 4423 rows in Table 1 that were found in Table 2. I want it to do the exact opposite: 3748 of 4423 rows in Table 1 NOT found in Table 2.
Cheers

You can try the following DAX:
newtable =
CALCULATETABLE(
table1,
NOT(table1[ID] IN VALUES(table2[ID]))
)
Results:

The simplest way is EXCEPT function:
EXCEPT( BigTable, SmallTable )
This will return a BigTable without elements of SmallTable.
EXCEPT by Alberto:
https://youtu.be/Kk7_TdmxQOI

Related

In DAX, is it possible to check if value exists in another table using measure instead of calculated column?

I'm hoping to create a measure of distinct count of a customer column, on the condition if customers in this column does not exist in another table's customer column.
I know I can create a calculated column checking if the customer exists, and then use the calculate function filtering out those who do exist. But is it possible to achieve this without creating the calculated column?
Please note this is in Power Pivot, not Power BI so I can't really use 'treatas' or 'in'. Thanks a lot.
Assuming tables named Table1 and Table2:
MyMeasure :=
VAR T2Customer =
VALUES( Table2[Customer] )
RETURN
CALCULATE(
DISTINCTCOUNT( Table1[Customer] ),
NOT (
CONTAINSROW(
T2Customer,
Table1[Customer]
)
)
)
Yes, You can achieve it using EXCEPT()function:
Let's say that we have 2 tables like this:
Customer_Table1:
Customer_Table2:
Now we can use this measure to achieve our result:
CountOfDistinctCusts =
COUNTROWS (
EXCEPT (
VALUES ( Customer_Table1[Customer] ),
VALUES ( Customer_Table2[Customer] )
)
)
If we test the code:

Power Bi count rows for all tables in one measure

In my power Bi I would like to count rows for all my tables and having this output:
Table Name
Row count
Table1
126
Table2
985
Table3
998
...
...
As long as I have few tables I can do
NEWTABLE = UNION(
ROW("TableName","Table1", "Rowcount",ROWSCOUNT(Table1)),
ROW("TableName","Table2", "Rowcount",ROWSCOUNT(Table2)),
...
)
But this starts to be complicated when I have many tables.
Is there a way I can do it? Like a loop or something?
Thank you
If you only need a metrics then you can use DaxStudio -> ViewMetrics
where cardinality is your "rowCounts"
If you need something more, then you can get all table name from DMV
select * from $SYSTEM.TMSCHEMA_TABLES
populate this as another table in your model, and use M language to loop through.
here useful example:
https://community.powerbi.com/t5/Power-Query/Power-query-Counting-rows-from-all-table-in-query-editor-but-not/td-p/1198489

MDX - How to select one column and sort the returned data

For a SSRS report, I'm trying to return a list of sorted data from a dimension to use with a parameter.
My dimension is [Radio].[Radio NO].[Radio NO] where the last Radio NO is a string.
I can find examples of returning one column while sorting on another but I can't figure out how to sort and return just one column.
Thanks whytheq! Based on your answer, here's what I came up with that works:
SELECT {} ON COLUMNS,
ORDER(
[Radio].[Radio NO].[Radio NO].MEMBERS
,[Radio].[Radio NO].CURRENTMEMBER.MEMBER_CAPTION
,BASC
) On ROWS
FROM [OurCube]
Without seeing the exact structure of your cube / query an avenue you could explore, if you'd like to order alphabetical, is the following
ORDER(
[Radio].[Radio NO].[Radio NO].MEMBERS
,[Radio].[Radio NO].CURRENTMEMBER.MEMBER_CAPTION
,BDESC
)
If you want to order by a measure in your cube, then something like the following:
ORDER(
[Radio].[Radio NO].[Radio NO].MEMBERS
,[Measures].[Profit]
,BDESC
)
This is a possible if you really need to change the column name before hitting SSRS but it has the disadvantage of changing it to a measure:
WITH
MEMBER [Measures].[thisIsTheNewName] AS
[Radio].[Radio NO].CURRENTMEMBER.MEMBER_CAPTION
SELECT
{[Measures].[thisIsTheNewName]} ON COLUMNS,
ORDER(
[Radio].[Radio NO].[Radio NO].MEMBERS
,[Radio].[Radio NO].CURRENTMEMBER.MEMBER_CAPTION
,BASC
) On ROWS
FROM [OurCube];

Delete duplicate rows from a BigQuery table

I have a table with >1M rows of data and 20+ columns.
Within my table (tableX) I have identified duplicate records (~80k) in one particular column (troubleColumn).
If possible I would like to retain the original table name and remove the duplicate records from my problematic column otherwise I could create a new table (tableXfinal) with the same schema but without the duplicates.
I am not proficient in SQL or any other programming language so please excuse my ignorance.
delete from Accidents.CleanedFilledCombined
where Fixed_Accident_Index
in(select Fixed_Accident_Index from Accidents.CleanedFilledCombined
group by Fixed_Accident_Index
having count(Fixed_Accident_Index) >1);
You can remove duplicates by running a query that rewrites your table (you can use the same table as the destination, or you can create a new table, verify that it has what you want, and then copy it over the old table).
A query that should work is here:
SELECT *
FROM (
SELECT
*,
ROW_NUMBER()
OVER (PARTITION BY Fixed_Accident_Index)
row_number
FROM Accidents.CleanedFilledCombined
)
WHERE row_number = 1
UPDATE 2019: To de-duplicate rows on a single partition with a MERGE, see:
https://stackoverflow.com/a/57900778/132438
An alternative to Jordan's answer - this one scales better when having too many duplicates:
#standardSQL
SELECT event.* FROM (
SELECT ARRAY_AGG(
t ORDER BY t.created_at DESC LIMIT 1
)[OFFSET(0)] event
FROM `githubarchive.month.201706` t
# GROUP BY the id you are de-duplicating by
GROUP BY actor.id
)
Or a shorter version (takes any row, instead of the newest one):
SELECT k.*
FROM (
SELECT ARRAY_AGG(x LIMIT 1)[OFFSET(0)] k
FROM `fh-bigquery.reddit_comments.2017_01` x
GROUP BY id
)
To de-duplicate rows on an existing table:
CREATE OR REPLACE TABLE `deleting.deduplicating_table`
AS
# SELECT id FROM UNNEST([1,1,1,2,2]) id
SELECT k.*
FROM (
SELECT ARRAY_AGG(row LIMIT 1)[OFFSET(0)] k
FROM `deleting.deduplicating_table` row
GROUP BY id
)
Not sure why nobody mentioned DISTINCT query.
Here is the way to clean duplicate rows:
CREATE OR REPLACE TABLE project.dataset.table
AS
SELECT DISTINCT * FROM project.dataset.table
If your schema doesn’t have any records - below variation of Jordan’s answer will work well enough with writing over same table or new one, etc.
SELECT <list of original fields>
FROM (
SELECT *, ROW_NUMBER() OVER (PARTITION BY Fixed_Accident_Index) AS pos,
FROM Accidents.CleanedFilledCombined
)
WHERE pos = 1
In more generic case - with complex schema with records/netsed fields, etc. - above approach can be a challenge.
I would propose to try using Tabledata: insertAll API with rows[].insertId set to respective Fixed_Accident_Index for each row.
In this case duplicate rows will be eliminated by BigQuery
Of course, this will involve some client side coding - so might be not relevant for this particular question.
I havent tried this approach by myself either but feel it might be interesting to try :o)
If you have a large-size partitioned table, and only have duplicates in a certain partition range. You don't want to overscan nor process the whole table. use the MERGE SQL below with predicates on partition range:
-- WARNING: back up the table before this operation
-- FOR large size timestamp partitioned table
-- -------------------------------------------
-- -- To de-duplicate rows of a given range of a partition table, using surrage_key as unique id
-- -------------------------------------------
DECLARE dt_start DEFAULT TIMESTAMP("2019-09-17T00:00:00", "America/Los_Angeles") ;
DECLARE dt_end DEFAULT TIMESTAMP("2019-09-22T00:00:00", "America/Los_Angeles");
MERGE INTO `gcp_project`.`data_set`.`the_table` AS INTERNAL_DEST
USING (
SELECT k.*
FROM (
SELECT ARRAY_AGG(original_data LIMIT 1)[OFFSET(0)] k
FROM `gcp_project`.`data_set`.`the_table` AS original_data
WHERE stamp BETWEEN dt_start AND dt_end
GROUP BY surrogate_key
)
) AS INTERNAL_SOURCE
ON FALSE
WHEN NOT MATCHED BY SOURCE
AND INTERNAL_DEST.stamp BETWEEN dt_start AND dt_end -- remove all data in partiion range
THEN DELETE
WHEN NOT MATCHED THEN INSERT ROW
credit: https://gist.github.com/hui-zheng/f7e972bcbe9cde0c6cb6318f7270b67a
Easier answer, without a subselect
SELECT
*,
ROW_NUMBER()
OVER (PARTITION BY Fixed_Accident_Index)
row_number
FROM Accidents.CleanedFilledCombined
WHERE TRUE
QUALIFY row_number = 1
The Where True is neccesary because qualify needs a where, group by or having clause
Felipe's answer is the best approach for most cases. Here is a more elegant way to accomplish the same:
CREATE OR REPLACE TABLE Accidents.CleanedFilledCombined
AS
SELECT
Fixed_Accident_Index,
ARRAY_AGG(x LIMIT 1)[SAFE_OFFSET(0)].* EXCEPT(Fixed_Accident_Index)
FROM Accidents.CleanedFilledCombined AS x
GROUP BY Fixed_Accident_Index;
To be safe, make sure you backup the original table before you run this ^^
I don't recommend to use ROW NUMBER() OVER() approach if possible since you may run into BigQuery memory limits and get unexpected errors.
Update BigQuery schema with new table column as bq_uuid making it NULLABLE and type STRING

Create duplicate rows by running same command 5 times for example
insert into beginner-290513.917834811114.messages (id, type, flow, updated_at) Values(19999,"hello", "inbound", '2021-06-08T12:09:03.693646')
Check if duplicate entries exist
select * from beginner-290513.917834811114.messages where id = 19999
Use generate uuid function to generate uuid corresponding to each message

UPDATE beginner-290513.917834811114.messages
SET bq_uuid = GENERATE_UUID()
where id>0
Clean duplicate entries
DELETE FROM beginner-290513.917834811114.messages
WHERE bq_uuid IN
(SELECT bq_uuid
FROM
(SELECT bq_uuid,
ROW_NUMBER() OVER( PARTITION BY updated_at
ORDER BY bq_uuid ) AS row_num
FROM beginner-290513.917834811114.messages ) t
WHERE t.row_num > 1 );

How to create select SQL statement that would produce "merged" dataset from two tables(Oracle DBMS)?

Here's my original question:
merging two data sets
Unfortunately I omitted some intircacies, that I'd like to elaborate here.
So I have two tables events_source_1 and events_source_2 tables. I have to produce the data set from those tables into resultant dataset (that I'd be able to insert into third table, but that's irrelevant).
events_source_1 contain historic event data and I have to do get the most recent event (for such I'm doing the following:
select event_type,b,c,max(event_date),null next_event_date
from events_source_1
group by event_type,b,c,event_date,null
events_source_2 contain the future event data and I have to do the following:
select event_type,b,c,null event_date, next_event_date
from events_source_2
where b>sysdate;
How to put outer join statement to fill the void (i.e. when same event_type,b,c found from event_source_2 then next_event_date will be filled with the first date found
GREATLY APPRECIATE FOR YOUR HELP IN ADVANCE.
Hope I got your question right. This should return the latest event_date of events_source_1 per event_type, b, c and add the lowest event_date of event_source_2.
Select es1.event_type, es1.b, es1.c,
Max(es1.event_date),
Min(es2.event_date) As next_event_date
From events_source_1 es1
Left Join events_source_2 es2 On ( es2.event_type = es1.event_type
And es2.b = es1.b
And es2.c = es1.c
)
Group By c1.event_type, c1.b, c1.c
You could just make the table where you need to select a max using a group by into a virtual table, and then do the full outer join as I provided in the answer to the prior question.
Add something like this to the top of the query:
with past_source as (
select event_type, b, c, max(event_date)
from event_source_1
group by event_type, b, c, event_date
)
Then you can use past_source as if it were an actual table, and continue your select right after the closing parens on the with clause shown.
I end up doing two step process: 1st step populates the data from event table 1, 2nd step MERGES the data between target (the dataset from 1st step) and another source. Please forgive me, but I had to obfuscate table name and omit some columns in the code below for legal reasons. Here's the SQL:
INSERT INTO EVENTS_TARGET (VEHICLE_ID,EVENT_TYPE_ID,CLIENT_ID,EVENT_DATE,CREATED_DATE)
select VEHICLE_ID, EVENT_TYPE_ID, DEALER_ID,
max(EVENT_INITIATED_DATE) EVENT_DATE, sysdate CREATED_DATE
FROM events_source_1
GROUP BY VEHICLE_ID, EVENT_TYPE_ID, DEALER_ID, sysdate;
Here's the second step:
MERGE INTO EVENTS_TARGET tgt
USING (
SELECT ee.VEHICLE_ID VEHICLE_ID, ee.POTENTIAL_EVENT_TYPE_ID POTENTIAL_EVENT_TYPE_ID, ee.CLIENT_ID CLIENT_ID,ee.POTENTIAL_EVENT_DATE POTENTIAL_EVENT_DATE FROM EVENTS_SOURCE_2 ee WHERE ee.POTENTIAL_EVENT_DATE>SYSDATE) src
ON (tgt.vehicle_id = src.VEHICLE_ID AND tgt.client_id=src.client_id AND tgt.EVENT_TYPE_ID=src.POTENTIAL_EVENT_TYPE_ID)
WHEN MATCHED THEN
UPDATE SET tgt.NEXT_EVENT_DATE=src.POTENTIAL_EVENT_DATE
WHEN NOT MATCHED THEN
insert (tgt.VEHICLE_ID,tgt.EVENT_TYPE_ID,tgt.CLIENT_ID,tgt.NEXT_EVENT_DATE,tgt.CREATED_DATE) VALUES (src.VEHICLE_ID, src.POTENTIAL_EVENT_TYPE_ID, src.CLIENT_ID, src.POTENTIAL_EVENT_DATE, SYSDATE)
;

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