I have two columns of data I want to join in the where clause so I can use the In function to query on it. I have a PROV_NUM (P00012546) and an AFF_NUM(0012).
I want to be able to say in my Where clause Where PROV_NUM + AFF_NUM in (P000125460012, P000145890003)
I am trying to merge the two columns in the where clause so I can copy and paste a list of PROV and AFF numbers as one number and query the combined two strings.
I have tried to concat as well as merge with no luck. I am using Teradata SQL Assistant.
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Any way to do this? Basically trying to do a SQL UPDATE SET function if matching record for one or more key fields exists in another dataset.
Tried using Joins and Merge. Joins seems like more steps and the Merge appends records instead of updating the correlating rows.
I am quite new in working with psql.
Goal is to get values from a nested jsonb-structure where the last key has so many different characteristics it is not possible to query them explicitely.
The jsonb-structure in any row is as follows:
TABLE_Products
{'products':[{'product1':['TYPE'], 'product2':['TYPE2','TYPE3'], 'productN':['TYPE_N']}]}
I want to get the values (TYPE1, etc.) assigned to each product-key (product1, etc.). The product-keys are the unknown, because of too many different names.
My work so far achieves to pull out a tuple for each key:value-pair on the last level. To illustrate this here you can see my code and the results from the previously described structure.
My Code:
select url, jsonb_each(pro)
from (
select id , jsonb_array_elements(data #> '{products}') as pro
from TABLE_Products
where data is not null
) z
My result:
("product2","[""TYPE2""]")
("product2","[""TYPE3""]")
My questions:
Is there a way to split this tuple on two columns?
Or how can I query the values kind of 'unsupervised', so without knowing the exact names of 'product1 ... n'
Scenario: azure data flow processing bulk records from a csv dataset. for doing dependent jobs at destination sql required a comma separated ids from multiple rows of that csv. Can some one help how to do this.
Tried using derived column step with coalesce, concat functions, didn't get the result looking for.
Use the collect() aggregate function. This will act like a string agg. It was just released last week.
https://learn.microsoft.com/en-us/azure/data-factory/data-flow-expression-functions#collect
https://techcommunity.microsoft.com/t5/azure-data-factory/adf-adds-new-hierarchical-data-handling-and-new-flexibility-for/ba-p/1353956
First off this is my first attempt at a multi select. I've done a lot of searching but I can't find the answer that works for me.
I have a postgresql query which has bg.revision_key in (_revision_key) which holds the parameter. A side note, we've named all our parameters in the queries with the underscore and they all work, they are single select in SSRS.
In my SSRS report I have a parameter called Revision Key Segment which is the multi select parameter. I've ticked Allow multi value and in Available Values I have value field pointing to revision_key in the dataset.
In my dataset parameter options I have Parameter Value [#revision_key]
In my shared dataset I also have my parameter set to Allow multi value.
For some reason I can't seem to get the multi select to work so I must be missing something somewhere but I've ran out of ideas.
Unlike with SQL Server, when you connect to a database using an ODBC connection, the parameter support is different. You cannot use named parameters and instead have to use the ? syntax.
In order to accommodate multiple values you can concatenate them into a single string and use a like statement to search them. However, this is inefficient. Another approach is to use a function to split the values into an in-line table.
In PostgreSQL you can use an expression like this:
inner join (select CAST(regexp_split_to_table(?, ',') AS int) as filter) as my on my.filter = key_column
Then in the dataset properties, under the parameters tab, use an expression like this to concatenate the values:
=Join(Parameters!Keys.Value, ",")
In other words, the report is concatenating the values into a comma-separated list. The database is splitting them into a table of integers then inner joining on the values.
I have a class that contains a LINKMAP field called links. This class is used recursively to create arbitrary hierarchical groupings (something like the time-series example, but not with the fixed year/month/day structure).
A query like this:
select expand(links['2017'].links['07'].links['15'].links['10'].links) from data where key='AAA'
Returns the actual records contained in the last layer of "links". This works exactly as expected.
But a query like this (note the 10,11 in the second to last layer of "links"):
select expand(links['2017'].links['07'].links['15'].links['10','11'].links) from data where key='AAA'
Returns two rows of the last layer of "links" instead:
{"1000":"#23:0","1001":"#24:0","1002":"#23:1"}
{"1003":"#24:1","1004":"#23:2"}
Using unionAll or intersect (with or without UNWIND) results in this single record:
[{"1000":"#23:0","1001":"#24:0","1002":"#23:1"},{"1003":"#24:1","1004":"#23:2"}]
But nothing I've tried (including various attempts at "compound" SELECTs) will get the expand to work as it does with the original example (i.e. return the actual records represented in the last LINKMAP).
Is there a SQL syntax that will achieve this?
Note: Even this (slightly modified) example from the ODB docs does not result in a list of linked records:
select expand(records) from
(select unionAll(years['2017'].links['07'].links['15'].links['10'].links, years['2017'].links['07'].links['15'].links['11'].links) as records from data where key='AAA')
Ref: https://orientdb.com/docs/2.2/Time-series-use-case.html
I'm not sure of what you want to achieve, but I think it's worth trying with values():
select expand(links['2017'].links['07'].links['15'].links['10','11'].links.values()) from data where key='AAA'