I need your support to put together a query that allows me to ungroup a column with multiple values in a single line in this case the column CONDICIONES:
I have the CONDICIONES table with the columns Hora TRX; Fecha TRX; Condiciones; Código Cliente.
In my Teradata query, I am making it look for the conditions:
WHERE CONDICIONES LIKE ANY ('%0800%', '%0801%', '%0805%', '%0806%', '%0821%'|;
but the ungrouped information does not throw me away.
What I need is the query to return the following result:
Desired output:
Table:
The easiest way is probably to split all values into rows before filtering/aggregationg:
WITH cte AS
( -- prepare the data
SELECT "Fecha TRX" AS pk, CONDICIONES AS delim_str
FROM vt
)
SELECT "Fecha TRX", CONDICIONES, Count(*)
FROM TABLE (StrTok_Split_To_Table(cte.pk, cte.delim_str, '?')
RETURNS ("Fecha TRX" VARCHAR(20) -- should be the same datatype as input "Fecha TRX"
,tokennum INTEGER
,CONDICIONES VARCHAR(10) )
) AS dt
WHERE CONDICIONES IN ('0800', '0801', '0805', '0806', '0821');
GROUP BY 1,2;
Related
I am having some trouble to aggregate data on row-inputs. I have two columns originally, but i want to split the data based on PortID and add five columns which now lie in the AssetClass column as row values.
The first table is how the data is structured now, the second is what i want it to look like.
Anyone have any tips how to do this? Thanks in advance.
You basically need to pivot your data set. Below query will pivot you data set purely using UNION and GROUP BY Clause which will be supported by any database system. You can add your pivot asset class S,U,P inside set_union block as done for C,F
Alternatively, you can simply use PIVOT operator.
CREATE TABLE sample
(
id int,
port_id nvarchar(10),
percent_weight int,
asset_class nvarchar(1)
);
INSERT INTO sample values
('1','SOL','15','C'),
('2','EID','20','C'),
('3','PAR','25','C'),
('45','SOL','30','F'),
('46','EID','40','F'),
('47','PAR','45','F')
;
SELECT
port_id,
MAX(C) AS C,
MAX(F) AS F
FROM
(
SELECT
id,
port_id,
percent_weight AS C,
NULL AS F
FROM
sample
WHERE
asset_class='C'
UNION
SELECT
id,
port_id,
NULL AS C,
percent_weight AS F
FROM
sample
WHERE
asset_class='F'
)set_union
GROUP BY
port_id
ORDER BY
id ASC;
Output:
I hope the title makes some sense, I'm open to suggestions if I should make it more readable.
I have a temp table in Snowflake called BI_Table_Temp. It has 2 columns Load_DateTime with a datatype Timestamp_LTZ(9) and JSON_DATA which is a Variant datatype that's has nested records from a JSON file. I want to query this table which I then plan to ingest to another table but I want to make sure I always get the most recent Load_DateTime row.
I've tried this, which works but it shows me the Load_DateTime column and I don't want that I just want to get the values from the JSON_DATA row that has the max Load_DateTime timestamp:
SELECT
MAX(Load_DateTime),
transactions.value:id::string as id
transactions.value:value2::string as account_value
transactions.value:value3::string as new_account_value
FROM BI_Table_Temp,
LATERAL FLATTEN (JSON_DATA:transactions) as transactions
GROUP BY transactions.value
A simple option:
WITH data AS (
SELECT Load_DateTime
, transactions.value:id::string as id
, transactions.value:value2::string as account_value
, transactions.value:value3::string as new_account_value
FROM BI_Table_Temp,
LATERAL FLATTEN (JSON_DATA:transactions) as transactions
), max_load AS (
SELECT MAX(Load_DateTime) Load_DateTime, id
FROM data,
GROUP BY id
)
SELECT transactions.value:id::string as id
, transactions.value:value2::string as account_value
, transactions.value:value3::string as new_account_value
FROM data
JOIN max_load
USING (id, Load_DateTime)
Since transactions.value is a variant, I'm guessing that for GROUP BY transactions.value you really mean GROUP BY transactions.value:id.
I am very new to postgresql. I want to create a temp table containing some values and empty columns. Here is my query but it is not executing, but gives an error at , (comma).
CREATE TEMP TABLE temp1
AS (
SELECT distinct region_name, country_name
from opens
where track_id=42, count int)
What did I do wrong?
How to create a temp table with some columns that has values using select query and other columns as empty?
Just select a NULL value:
CREATE TEMP TABLE temp1
AS
SELECT distinct region_name, country_name, null::integer as "count"
from opens
where track_id=42;
The cast to an integer (null::integer) is necessary, otherwise Postgres wouldn't know what data type to use for the additional column. If you want to supply a different value you can of course use e.g. 42 as "count" instead
Note that count is a reserved keyword, so you have to use double quotes if you want to use it as an identifier. It would however be better to find a different name.
There is also no need to put the SELECT statement for an CREATE TABLE AS SELECT between parentheses.
Your error comes form your statement near the clause WHERE.
This should work :
CREATE TEMP TABLE temp1 AS
(SELECT distinct region_name,
country_name,
0 as count
FROM opens
WHERE track_id=42)
Try This.
CREATE TEMP TABLE temp1 AS
(SELECT distinct region_name,
country_name,
cast( '0' as integer) as count
FROM opens
WHERE track_id=42);
Consider the following table.
From the above table I want to select the Middle BFS_SCORE per LN_LOAN_ID and BR_ID. There are some LN_LOAN_ID with single score.
As an example for the above table the output I need is as below.
Please let me know how this can be achieved.
To handle cases where there are two scores for unique pair of LN_LOAD_ID, BR_ID you need a median, as there is no middle value for BFS_SCORE.
Postgres solution:
Create a median aggregate function following Postgres wiki:
CREATE OR REPLACE FUNCTION _final_median(NUMERIC[])
RETURNS NUMERIC AS
$$
SELECT AVG(val)
FROM (
SELECT val
FROM unnest($1) val
ORDER BY 1
LIMIT 2 - MOD(array_upper($1, 1), 2)
OFFSET CEIL(array_upper($1, 1) / 2.0) - 1
) sub;
$$
LANGUAGE 'sql' IMMUTABLE;
CREATE AGGREGATE median(NUMERIC) (
SFUNC=array_append,
STYPE=NUMERIC[],
FINALFUNC=_final_median,
INITCOND='{}'
);
Then your query would look as simple as this:
select
ln_load_id,
median(bfs_score) as bfs_score
br_id
from yourtable
But the tricky part comes with score_order. If there are two pairs and you actually really need a median, not the middle value - then there will be no row for your calculated score, so it will be null. Other than that, join back to your table to retrieve it for the "middle" column:
select
t1.ln_load_id, t1.bfs_score, t1.br_id, t2.score_order
from (
select
ln_load_id,
median(bfs_score) as bfs_score
br_id
from yourtable
) t1
left join yourtable t2 on
t1.ln_load_id = t2.ln_load_id
and t1.br_id = t2.br_id
and t1.bfs_score = t2.bfs_score
How would the SQL statement look like to return the bottom result from the upper table?
The last letter from the key should be removed. It stands for the language. EXP column should be split into 5 columns with the language prefix and the right value.
I'm weak at writing more or less difficult SQL statements so any help would be appreciated!
The Microsoft Access equivalent of a PIVOT in SQL Server is known as a CROSSTAB. The following query will work for Microsoft Access 2010.
TRANSFORM First(table1.Exp) AS FirstOfEXP
SELECT Left([KEY],Len([KEY])-2) AS [XKEY]
FROM table1
GROUP BY Left([KEY],Len([KEY])-2)
PIVOT Right([KEY],1);
Access will throw a circular field reference error if you try to name the row heading with KEY since that is also the name of the original table field that you are deriving it from. If you do not want XKEY as the field name, then you would need to break apart the above query into two separate queries as shown below:
qsel_table1:
SELECT Left([KEY],Len([KEY])-2) AS XKEY
, Right([KEY],1) AS [Language]
, Table1.Exp
FROM Table1
ORDER BY Left([KEY],Len([KEY])-2), Right([KEY],1);
qsel_table1_Crosstab:
TRANSFORM First(qsel_table1.Exp) AS FirstOfEXP
SELECT qsel_table1.XKEY AS [KEY]
FROM qsel_table1
GROUP BY qsel_table1.XKEY
PIVOT qsel_table1.Language;
In order to always output all language columns regardless of whether there is a value or not, you need to spike of those values into a separate table. That table will then supply the row and column values for the crosstab and the original table will supply the value expression. Using the two query solution above we would instead need to do the following:
table2:
This is a new table with a BASE_KEY TEXT*255 column and a LANG TEXT*1 column. Together these two columns will define the primary key. Populate this table with the following rows:
"AbstractItemNumberReportController.SelectPositionen", "D"
"AbstractItemNumberReportController.SelectPositionen", "E"
"AbstractItemNumberReportController.SelectPositionen", "F"
"AbstractItemNumberReportController.SelectPositionen", "I"
"AbstractItemNumberReportController.SelectPositionen", "X"
qsel_table1:
This query remains unchanged.
qsel_table1_crosstab:
The new table2 is added to this query with an outer join with the original table1. The outer join will allow all rows to be returned from table2 regardless of whether there is a matching row in the table1. Table2 now supplies the values for the row and column headings.
TRANSFORM First(qsel_table1.Exp) AS FirstOfEXP
SELECT Table2.Base_KEY AS [KEY]
FROM Table2 LEFT JOIN qsel_table1 ON (Table2.BASE_KEY = qsel_table1.XKEY)
AND (Table2.LANG = qsel_table1.Language)
GROUP BY Table2.Base_KEY
PIVOT Table2.LANG;
Try something like this:
select *
from
(
select 'abcd' as [key], right([key], 1) as id, expression
from table1
) x
pivot
(
max(expression)
for id in ([D], [E])
) p
Demo Fiddle