So I found these 2 articles but they don't quite answer my question...
Find max value and show corresponding value from different field in SQL server
Find max value and show corresponding value from different field in MS Access
I have a table like this...
ID Type Date
1 Initial 1/5/15
1 Periodic 3/5/15
2 Initial 2/5/15
3 Initial 1/10/15
3 Periodic 3/6/15
4
5 Initial 3/8/15
I need to get all of the ID numbers that are "Periodic" or NULL and corresponding date. So I want a to get query results that looks like this...
ID Type Date
1 Periodic 3/5/15
3 Periodic 3/6/15
4
I've tried
select id, type, date1
from Table1 as t
where type in (select type
from Table1 as t2
where ((t2.type) Is Null) or "" or ("periodic"));
But this doesn't work... From what I've read about NULL you can't compare null values...
Why in SQL NULL can't match with NULL?
So I tried
SELECT id, type, date1
FROM Table1 AS t
WHERE type in (select type
from Table1 as t2
where ((t.Type)<>"Initial"));
But this doesn't give me the ID of 4...
Any suggestions?
Unless I'm missing something, you just want:
select id, type, date1
from Table1 as t
where (t.type Is Null) or (t.type = "") or (t.type = "periodic");
The or applies to boolean expressions, not to values being compared.
Related
There is 1 record having duplicate values except in 1 column having x and y
record status
XXXXXXXXXX A
XXXXXXXXXX B
Need to pull A only and remove the other duplicate B
Select record
case
when status in ("'a', 'b'") then ('a')
from xyz
Let suppose you have data as below where Status is repeating for First column
but you are interesting in the status which is of having lower value as given below:
In this case following SQL may help. Here, we are partitioning on key field and ordering the Status so that we can apply filter on rank to get desired result.
WITH sampleData AS
(SELECT '1234' as Field1, 'A' as STATUS UNION ALL
SELECT '1234', 'C' UNION ALL
SELECT '5678', 'A' UNION ALL
SELECT '5678', 'B' )
select * except(rank) from (
select *, rank() over (partition by Field1 order by STATUS ASC) rank from sampleData)
where rank = 1
order by Field1
Consider below approach
select * from sampledata
qualify 1 = row_number() over win
window win as (partition by field1 order by if(status='A',1,2) )
if applied to sample data in your question - output is
I am trying to get one row returned for each store number and per date that includes all values from the RecordTypeA column for that date.
The table I am using is created with a column named "RecordTypeA", it is a bit data type with (1 and 0) entries. 1 equals Type A and 0 equals Type B.
What I am trying to do is show the value of the RecordTypeA column for the store if there are entries of 1 and / or 0 on the same date on the same row.
Scenario 1 (One row returns for the store for the date): RecordTypeA column value = '1'
There is one row in the table for the store and date and the RecordTypeA column = '1' :
Scenario 2 (Two Rows return for the store for the same date):
Row One - RecordTypeA = '1'
Row Two - RecordTypeA = '0' (The column is still named RecordTypeA, but value '0' means something different so I want to create a column name?)
Scenario 3 (One row returns for the store for the date):
RecordTypeA column value = '0'
There is one row in the table for the store and date and the RecordTypeA column = '0' :
My issue is that I am getting multiple rows returned when the store has a RecordtypeA = 0 and a RecordtypeA = 1 row. Which I need to return on the same row. (Create columns that hold both 1 and 0 or Null.
What I am getting is
StoreID Date RecordTypeA
1234 2020-01-04 0
1234 2020-01-05 0
1234 2020-01-05 1
Needed:
StoreID Date RecordTypeA RecordTypeB
1234 2020-01-04 0 NULL
1234 2020-01-05 0 1
I have tried adding in case statements but I have not been able to get the one row as needed. Also, searched and tried PIVOT statements (I don't truly understand PIVOTs) but I get an error on the RecordTypeA Bit type.
Case when s.RecordTypeA = '1' Then 'TypeA' Else 'Null' End as Type
Case when s.RecordTypeA = '0' Then 'TypeB' Else 'Null' End as Type
SELECT r.StoreID,
r.CreatedDate,
s.RecordTypeA
From Request r
Inner Join Stores s on r.id = s.id
Group by r.StoreID,
r.CreatedDate,
s.RecordTypeA
Welcome to stack overflow community!
Have you tried to construct 3 queries and use UNION ALL statement?
You can create a query for StoreID, Date, RecordTypeA, TypeB and Typec.
For example:
SELECT CONCAT(r.StoreID, r.CreatedDate, s.RecordTypeA) AS DATA, 'A' AS TYPE
FROM YOURDATABASE.YOURTABLE
WHERE (A CRITERIA FOR TYPE A)
UNION ALL
SELECT CONCAT(r.StoreID, r.CreatedDate, s.RecordTypeA) AS DATA, 'B' AS TYPE
FROM YOURDATABASE.YOURTABLE
WHERE (A CRITERIA FOR TYPE B)
UNION ALL
...
I use the same alias on the example because with union all, all the queries must have the same columns, so you can use a CONCAT to put all your data from the different queries in one column, the column "TYPE" is for the difference the queries at the result.
Even if you not use concat you can return the columns different but all the queries must have the same column count on the select.
With multiple queries, you can define de criteria you want for type A, B, C through Z but have all of them at one result.
Important: Union all statements are somehow heavy for performance, so have it in mind.
I have a table named Table1. I have the following fields:
Field Name Type Mode
name STRING NULLABLE
items RECORD REPEATED
items.properties RECORD REPEATED
items.properties.name STRING NULLABLE
items.properties.value STRING NULLABLE
Here's an example of what the table looks like:
name items.properties.name items.properties.value
---------------------------------------------------------------
ABC1 type 1
frequent 1
---------------------------------------------------------------
ABC2 type 2
frequent 1
---------------------------------------------------------------
ABC3 type 2
frequent 2
---------------------------------------------------------------
ABC4 type 1
frequent 2
Ultimately, I want to select the names and values of these items, but I'm consistently getting errors. Here's what I'm trying as a start:
SELECT ARRAY(SELECT properties FROM UNNEST(items)) AS itemProp
FROM `Table1`
I've exhausted all my other ideas. But essentially, I just want to pull out all the values and names of the properties in individual rows so I can say where items.properties.name = type AND items.properties.value = 1.
Any ideas?
Below is for BigQuery Standard SQL
#standardSQL
SELECT t.*
FROM `project.dataset.table1` t,
UNNEST(items) item, UNNEST(properties) property
WHERE property.name = 'type'
AND property.value = 1
Something like this:
select prop.*
from t cross join
(unnest(t.items)) item cross join
(unnest(item.properties)) prop;
You have a strange data structure. Only one repeated column is necessary. I see no reason to repeat properties within items.
I have below data. The condition is that if the Id has two different types then take Long, such that there should not be any duplicate Id's
**id type**
1 Short
1 Long
2 Short
3 Short
3 Long
4 Short
And i need output like this.
**id type**
1 Long
2 Short
3 Long
4 Short
Does this work for you:
select id,
case when count(id) > 1 then 'Long' else 'Short' end as type
from tmp
group by id
You can simply take MIN from your Type column's value using GROUP BY on ID column. No CASE or COUNT statement is required. This following script will always work if you have specific value "short" and "long" in your column Type.
SELECT ID,MIN(Type) Type
FROM your_table
GROUP BY ID
You can do this:
Select id, case when count(id)>1 then 'Long' else min(Type) End as Type
from Tbl
group by id
SELECT * FROM hr.NullValueCheck
ID Name
1 abc
2 abc
3 bcd
4 cde
https://oracle-base.com/articles/misc/all-any-some-comparison-conditions-in-sql
Query 1 :
SELECT *
FROM hr.NullValueCheck
where id > All (SELECT NULL FROM DUAL )
Nothing is coming.
But for below quesry. All records are coming while subquesry is returning is NULL same as like above query (SELECT NULL FROM DUAL )
Query 2:
SELECT *
FROM hr.NullValueCheck
where id > All (SELECT id from hr.NullValueCheck where id = 5)
Please explain me why Query 1 is returning No Records but Query 2 is returning all records.
As per my knowledge Query 1 should also return all records.
NULL is different from an empty set.
The first example is saying: "select all rows where the id is greater than all values of NULL". Or more simply, "where id is greater than 'NULL'`.
In SQL, 'NULL' generally has the semantics of "not known". If you don't know the value, then you don't know if a given id is larger. Hence, no rows are returned.
In the second example, instead has an empty set for comparison. An empty set is not NULL. Obviously, any number is greater than all numbers in an empty set. Hence, all rows are returned.