if someone has any ideas about the following problem, please share.
suppose, I have a table, say Table 1, with 100 columns, say column name as A1, A2, ..., A100, and one column values are column names. I have a slicer table where I can select A1, A2, ..., and A100. Now, I want to visualize the table, Table 1, which has columns selected in the slicer table, and those rows which contain slicer-selected values.
For example, I have the following table.
enter image description here
if I select A1 and A2 in the slicer, my return will be as follows
enter image description here
Tried unpivoting columns and adding Attribute in the slicer. but it is filtering only columns, not rows.
Related
There's total of three tables involved. one header base table, one material
base table, one staging table.
I have created the staging table with 4 columns, the values will be
updated from csv uploaded, column 1 is batch_no, column 2 is for
attribute.
>header base table(h) has batch_no and batch_id
>material base table(m) has batch_id, attr_m (empty, to be updated)
>staging table(s) has batch_no and attr_s
create table he (BATCH_ID number, BATCH_NO varchar2(30));
create table me (a6 varchar2(30), BATCH_id number);
create table s (batch_no varchar2(30), att varchar2(30));
I want to take values from attr_s and update attr_m against batch_no. How do I do that?
Here's my code, please help me fix this code, it doesn't work
update me
set a6 = (select att
from s where batch_no = (select he.batch_no
from he, s
where he.batch_no=s.batch_no))
error received:
single row subquery return multiple rows.
single row subquery return multiple rows
The update statement is applied to each individual row in ME. Therefore the assignment operation requires one scalar value to be returned from the subquery. Your subquery is returning multiple values, hence the error.
To fix this you need to further restrict the subquery so it returns one row for each row in ME. From your data model the only way to do this is with the BATCH_ID, like so:
update me
set a6 = (select att
from s where batch_no = (select he.batch_no
from he, s
where he.batch_no=s.batch_no
and he.batch_id = me.batch_id))
Such a solution will work providing that there is only one record in S which matches a given permutation of (batch_no, batch_id). As you have provided any sample data I can't verify that the above statement will actually solve your problem.
I have an unpivoted table in the Power BI Query with +20 columns and +10000 rows.
The first columns are related to KPI name, month, and other data of interest. The columns after are the columns that contain the actual values I want to display.
Some rows have the KPI description (name, month, etc.) but do NOT any values in the rest of the columns ("NULL").
Is there a way to remove these rows? Remove whenever all the values of the rest of the columns are "NULL". (First columns will never be empty)
Thank you!!
I'm still a beginner in this Power BI world :)
If the other columns are always nulls together, then just pick one of those columns and use the arrow atop the column to remove the tick mark from [ ] null and filter it out
= Table.SelectRows(#"PriorStepName", each (Total number of shipments inbound] <> null)
If you have to check that every column except certain columns have nulls, then you could do this, which counts the number of nulls on each row. Then filter that column for proper number of nulls using the drop down atop that new column
= Table.AddColumn(#"PriorStepName", "Count", each List.NonNullCount(Record.ToList(_)))
Similarly you could count the number of null columns excluding the first X columns (here the first 2 columns) then filter that column
= Table.AddColumn(#"PriorStepName", "Count", each List.NonNullCount(List.Skip(Record.ToList(_),2)))
$data['establishments2'] = Establishments::Join("establishment_categories",'establishment_categories.establishment_id','=','establishments.id')->where('establishments.city','LIKE',$location)->where('establishments.status',0)->whereIn('establishment_id',array($est_data))->get(array('establishments.*'));
this is controller condition.
I have two tables, in table1 i am matching id with table2 and then fetching data from table1, and in table2 i have multiple values of same id in table 1. i want to get data of table1 values only one time, but as i am hvg multiple data of same id in table2 , data is repeating multiple times, can anyone please tell me how to get data only one time wheater table2 having single value or multiple value of same id... thank you
you can do it by selecting the field name you desired
instead get all field from table establishments
$data['establishments2'] = Establishments::Join("establishment_categories",'establishment_categories.establishment_id','=','establishments.id')->where('establishments.city','LIKE',$location)->where('establishments.status',0)->whereIn('establishment_id',array($est_data))->get(array('establishments.*'));
you can select specific field from table establishments like
$data['establishments2'] = Establishments::Join("establishment_categories",'establishment_categories.establishment_id','=','establishments.id')->where('establishments.city','LIKE',$location)->where('establishments.status',0)->whereIn('establishment_id',array($est_data))->get('establishments.fieldName');
or you can also do
$data['establishments2'] = `Establishments::Join("establishment_categories",'establishment_categories.establishment_id','=','establishments.id')->where('establishments.city','LIKE',$location)->where('establishments.status',0)->whereIn('establishment_id',array($est_data))->select('establishments.fieldName')->get();`
I can do
ALTER TABLE table_name ADD COLUMNS (user_id BIGINT)
to add a new column to the end of my non-partition columns and before my partition columns.
Is there any way to add a new column to anywhere among my non-partition columns?
For example, I would like to put this new column user_id as the first column of my table
Yes it is possible to change the location of columns but only after adding it in the table using CHANGE COLUMN
In your case, first add the column user_id to the table with below command:
ALTER TABLE table_name ADD COLUMNS (user_id BIGINT);
Now to make user_id column as the first column in your table use change column with FIRST clause:
ALTER TABLE table_name CHANGE COLUMN user_id user_id BIGINT first;
This will move the user_id column to the first position.
Similarly you can use After instead of first if you want to move the specified column after any other column. Like say, I want to move dob column after user_id column. Then my command would be:
ALTER TABLE table_name CHANGE COLUMN dob dob date AFTER user_id;
Please note that this commands changes metadata only. If you are moving columns, the data must already match the new schema or you must change it to match by some other means.
Ah, here's the explanation for why you listed user_id twice (it's not a type):
// Next change column a1's name to a2, its data type to string, and put it after column b.
ALTER TABLE test_change CHANGE a1 a2 STRING AFTER b;
// The new table's structure is: b int, a2 string, c int.
No, it is not possible.
One solution is to create new table using "CREATE TABLE AS SELECT" approach and drop older one.
I am trying to get a query result in HiveQL with one column as distinct. However the results are not matching . There are almost 20 columns in the table.
create table uniq_us row format delimited fields terminated by ',' lines terminated by '\n' as select distinct(a),b,c,d,e,f,g,h,i,j from ctry_us_join;
The resulting number of Rows :513238
select count(distinct a) from ctry_us_join;
The resulting number of rows : 151616
How is this possible and is something wrong in my first or second query
U need to use subselect with group by statement.
select count(a) from (
select a, count(*) from ctry_us_join group by a) b
This is just one solution for this.
Distinct is a keyword, not a function. It applies to all columns you list in your select clause. It is quite reasonable that your table has only 151,616 distinct values in the column a, but multiple rows with the same value in the column a have different values in other columns. That might give you 513,238 distinct rows.