I’ve got a table that has been imported from a CSV as a midstep to gather data into other tables. All columns in this table may be empty but as long as one column has data, is a valid row. Because of this, there may be full rows with empty data, that are not valid to take into consideration. Here’s
Tag: sql-null
Query not returning expected data
I’m looking for an explanation for why 1 of the following 3 queries aren’t returning what I am expecting. Assume the following: Anmodning with ANNo=1, ANCpr=1111112222 And the Person table doesn’t have a row with PSCpr=111111-2222 Queries are executed in Management Studio against a SQL Server 2017. Queries 2 and 3 returns the Anmodning row as expected but query 1
How to join two tables by dependent match keys in BigQuery?
I have two tables in BigQuery First one is a list of rates. Rates have default values with source equal -1 for each combo code – offer. Apart from combo code – offer, some rates have specified source Second table has same columns as first table except rates + any other data. My goal join rates by matched code –
Mapping two columns into one column in Athena
I have data in the Athena something like this: However, the table owner changed the provider to provider_new. Thus, after 2020-08-01 the provider returns to NULL. Here is my query: How can I map these two columns to one? Thanks in advance. Answer Do you want coalesce()? coalesce() returns the first non-null value of the arguments it is given.
Why is my case statement not returning the value in my “else” clause?
I have this section of code and my ELSE is not working. It should return ‘UNKNOWN’ but I am still seeing NULLs in my results. What is going on? case when t2.NEURO_GRP_2 is not NULL …
How to declare the elements of an array non-nullable?
In the following simple table It’s possible to insert null as an element of things: But I’d like to not allow this. Changing the definition to the following, however, Only prevents this which is not what I want. (I still want to allow that.) So how can I declare not the column, but the elements of the array column to
Difference between x = null vs. x IS NULL
In Snowflake, what is the difference between x = NULL and x IS NULL in a condition expression? It seems empirically that x IS NULL is what I want when I want to find rows where some column is blank. I ask because x = NULL is treated as valid syntax and I am curious whether there’s a different application
SQL Query “like” operator error, when the field is null
this query returns 421 records: Now when I implement the “like” operator, it returns 349 records, it is not taking into account the records with the field “invoice_number” in null: