I want to add a character to order_id column. The table below shows what I intend to achieve:
Add_field Order_id New_column
0 32639 032639
0 37378 037378
The result I want to achieve for each row is stored in New_column.
You can use below Sql query for concat column values in result
SELECT CONCAT(column1, ' ', column2) as columnName
FROM tableName
Here (column1, ' ', column2) you can change ' ' according your requirement.
Try:
select '0' || TO_CHAR(column1)
from yourTable
Example:
You can try (table indipendent):
select '0' || TO_CHAR(rownum)
from dual
union
select '0' || TO_CHAR(3)
from dual
union
select '0' || TO_CHAR('4')
from dual;
output will be:
01
03
04
Related
How can I show the result of running a dynamic query as a table in the output?
I want to show the result of the following query as a table in the output.
my table :
create table myTable(ROW_NAME varchar(10),COLUMN_NAME varchar(10),COLUMN_NAME_VALUE varchar(10));
table data :
insert into myTable (ROW_NAME,COLUMN_NAME,COLUMN_NAME_VALUE)
select 'ROW1','COL1','R1C1' from dual
union all select 'ROW1','COL2','R1C2' from dual
union all select 'ROW1','COL3','R1C3' from dual
union all select 'ROW2','COL1','R2C1' from dual
union all select 'ROW2','COL2','R2C2' from dual
union all select 'ROW2','COL3','R2C3' from dual
union all select 'ROW3','COL1','R3C1' from dual
union all select 'ROW3','COL2','R3C3' from dual
union all select 'ROW3','COL3','R3C3' from dual
my dynamic query :
DECLARE
mycols VARCHAR2(1000);
sqlCommand varchar2(1000);
TYPE PivotCurTyp IS REF CURSOR;
pivot_cv PivotCurTyp;
type pivotted is record (row_name myTable.row_name%type, col1 myTable.column_name_value%type, col2 myTable.column_name_value%type, col3 myTable.column_name_value%type);
piv_rec pivotted;
BEGIN
select (select LISTAGG('''' || COLUMN_NAME || '''', ',') from myTable group by ROW_NAME FETCH FIRST 1 ROWS ONLY) into mycols from dual;
select Concat('select * from myTable pivot ( max (COLUMN_NAME_VALUE) for COLUMN_NAME in (',Concat(mycols,')) ORDER BY ROW_NAME')) into sqlCommand from dual;
DBMS_OUTPUT.PUT_LINE(sqlCommand);
OPEN pivot_cv FOR sqlCommand;
LOOP
FETCH pivot_cv INTO piv_rec;
EXIT WHEN pivot_cv%NOTFOUND;
DBMS_OUTPUT.PUT_LINE('ROW_NAME: ' || piv_rec.ROW_NAME || ' COL1: ' ||
piv_rec.COL1 || ' COL2: ' || piv_rec.COL2 || ' COL3: ' || piv_rec.COL3);
END LOOP;
CLOSE pivot_cv;
END;
/
demo in db<>fiddle
Thanks for any help
Maybe I misunderstood, I guess what you want is this?
select 'ROW_NAME ' || t1.row_name || ' ' || listagg(t1.column_name || ': ' || t1.column_name_value, ' ')
within group(order by t1.column_name)
from myTable t1
group by t1.row_name
order by t1.row_name
I would like to calculate, for each column in a table, the percent of rows that are null.
For one column, I was using:
SELECT ((SELECT COUNT(Col1)
FROM Table1)
/
(SELECT COUNT(*)
FROM Table1)) AS Table1Stats
Works great and is fast.
However, I want to do this for all ~50 columns of the table, and my environment does not allow me to use dynamic SQL.
Any recommendations? I am using snowflake to connect to AWS, but as an end user I am using the snowflake browser interface.
You can combine this as:
SELECT COUNT(Col1) * 1.0 / COUNT(*)
FROM Table1;
Or, if you prefer:
SELECT AVG( (Col1 IS NOT NULL)::INT )
FROM Table1;
You can use a mix of object_construct() and flatten() to move the column names into rows. Then do the math for the values missing:
create or replace temp table many_cols as
select 1 a, 2 b, 3 c, 4 d
union all select 1, null, 3, 4
union all select 8, 8, null, null
union all select 8, 8, 7, null
union all select null, null, null, null;
select key column_name
, 1-count(*)/(select count(*) from many_cols) ratio_null
from (
select object_construct(a.*) x
from many_cols a
), lateral flatten(x)
group by key
;
You can do this using a SQL generator if you don't mind copying the text and running it once it's done.
-- SQL generator option:
select 'select' || listagg(' ((select count(' || COLUMN_NAME || ') from "SNOWFLAKE_SAMPLE_DATA"."TPCH_SF10000"."ORDERS") / ' ||
'(select count(*) from "SNOWFLAKE_SAMPLE_DATA"."TPCH_SF10000"."ORDERS")) as ' || COLUMN_NAME, ',') as SQL_STATEMENT
from "SNOWFLAKE_SAMPLE_DATA"."INFORMATION_SCHEMA"."COLUMNS"
where TABLE_CATALOG = 'SNOWFLAKE_SAMPLE_DATA' and TABLE_SCHEMA = 'TPCH_SF10000' and TABLE_NAME = 'ORDERS'
;
If the copy and paste is not plausible because you need to script it, you can use the results of the SQL generator in a stored procedure I wrote to execute a single line of dynamic SQL:
call run_dynamic_sql(
select 'select' || listagg(' ((select count(' || COLUMN_NAME || ') from "SNOWFLAKE_SAMPLE_DATA"."TPCH_SF10000"."ORDERS") / ' ||
'(select count(*) from "SNOWFLAKE_SAMPLE_DATA"."TPCH_SF10000"."ORDERS")) as ' || COLUMN_NAME, ',') as SQL_STATEMENT
from "SNOWFLAKE_SAMPLE_DATA"."INFORMATION_SCHEMA"."COLUMNS"
where TABLE_CATALOG = 'SNOWFLAKE_SAMPLE_DATA' and TABLE_SCHEMA = 'TPCH_SF10000' and TABLE_NAME = 'ORDERS'
);
If you want the stored procedure, until it's published on Snowflake's blog it's available here: https://snowflake.pavlik.us/index.php/2021/01/22/running-dynamic-sql-in-snowflake/
I want to make an array and put into it two id's, but I got a mistake:
array value must start with “{” or dimension information
ids_list character varying[] := ' || (SELECT COALESCE(quote_literal((array_agg(DISTINCT house_guid)) || ''',''' || quote_literal(array_agg(DISTINCT guid))), 'NULL') FROM tb) || ';
use array_agg function
with t1 as
(
select * from
(
select 'test_SQL_01' as ID
union
select 'test_SQL_02_PQR_01'
union
select 'test_SQL_03_055'
union
select 'test_SQL_04_ABC_99'
) as t
) select array_agg(ID) from t1
You seem to be using this inside a PL/pgSQL function. You should be using SELECT ... INTO variable FROM... instead:
declare
ids_list character varying[];
begin
.....
select array_agg(id)
into ids_list
from (
select house_guid
from tab
union
select guid
from tab
) t;
.... work with the ids_list variable
end;
The UNION will automatically remove all duplicates (as you tried to do with DISTINCT.
How can we get null and non-null counts of all columns of a Table in Vertica? Table can have n number of columns and for each column we need to get count of nulls and non-nulls values of that table.
For Example.
Below Table has two columns
column1 Column2
1 abc
pqr
3
asd
5
If its a specific column then we can check like
SELECT COUNT(*) FROM table where column1 is null;
SELECT COUNT(*) FROM table where column1 is not null;
Same query for column2
I checked system tables like projection_storage and others but I cant figure out a generic query which gives details by hard coding only TABLE NAME in the query.
Hello #user2452689: Here is a dynamically generated VSQL statement which meets your requirement of counting nulls & not nulls in N columns. Notice that this writes a temporary SQL file out to your working directory, and then execute it via the \i command. You only need to change the first two variables per table. Hope this helps - good luck! :-D
--CHANGE SCHEMA AND TABLE PARAMETERS ONLY:
\set table_schema '\'public\''
\set table_name '\'dim_promotion\''
---------
\o temp_sql_file
\pset tuples_only
select e'select \'' || :table_schema || e'\.' || :table_name || e'\' as table_source' as txt
union all
select * from (
select
', sum(case when ' || column_name || ' is not null then 1 else 0 end) as ' || column_name || '_NOT_NULL
, sum(case when ' || column_name || ' is null then 1 else 0 end) as ' || column_name || '_NULL' as txt
from columns
where table_schema = :table_schema
and table_name = :table_name
order by ordinal_position
) x
union all
select ' from ' || :table_schema || e'.' || :table_name || ';' as txt ;
\o
\pset tuples_only
\i temp_sql_file
You can use:
select count(*) as cnt,
count(column1) as cnt_column1,
count(column2) as cnt_column2
from t;
count() with a column name or expression counts the number of non-NULL values in the column/expression.
(Obviously, the number of NULL values is cnt - cnt_columnX.)
select column1_not_null
,column2_not_null
,column3_not_null
,cnt - column1_not_null as column1_null
,cnt - column2_not_null as column2_null
,cnt - column3_not_null as column3_null
from (select count(*) as cnt
,count (column1) as column1_not_null
,count (column2) as column2_not_null
,count (column3) as column3_not_null
from mytable
) t
I need to write a query to compare column by column (ie: find differences) between two rows in the database. For example:
row1: 10 40 sometext 24
row2: 10 25 sometext 24
After the query executed, it should shows only the fields that have difference (ie: the second field)
Here's what I have done so far:
select table1.column1, table1.column2, table1.column3, table1.column4
from table1
where somefield in (field1, field2);
The above query will show me two rows one above another like this:
10 40 sometext 24
10 25 sometext 24
Then I have to manually do the comparison and it takes a lot of time b/c the row contains a lot of column.
So again my question is: How can I write a query that will show me only the columns that have differences??
Thanks
Use UNPIVOT clause (see http://www.oracle-developer.net/display.php?id=506) to turn columns into rows, then filter out the same rows (using GROUP BY HAVING COUNT and finally use PIVOT to get rows with different columns only.
To do this easily you need to query the metadata for the table to get each row. You can use the following code as a script.
Replace the define table_name with your table name and define yes_drop_it = NO. Put your raw WHERE syntax into the where_clause. The comparison logic always compares the first two rows returned for the where clause.
whenever sqlerror exit failure rollback;
set linesize 150
define test_tab_name = tst_cf_cols
define yes_drop_it = YES
define order_by = 1, 2
define where_clause = 1 = 1
define tab_owner = user
<<clearfirst>> begin
for clearout in (
select 'drop table ' || table_name as cmd
from all_tables
where owner = &&tab_owner and table_name = upper('&&test_tab_name')
and '&&yes_drop_it' = 'YES'
) loop
execute immediate clearout.cmd;
execute immediate '
create table &&test_tab_name as
select 10 as column1, 40 as column2, ''sometext'' as column3, 24 as column4 from dual
union all
select 10 as column1, 25 as column2, ''sometext'' as column3, 24 as column4 from dual
';
end loop;
end;
/
column cfsynt format a4000 word_wrap new_value comparison_syntax
with parms as (select 'parmquery' as cte_name, 'row_a' as corr_name_1, 'row_b' as corr_name_2 from dual)
select
'select * from (select ' || LISTAGG(cfcol || ' AS cf_' || trim (to_char (column_id, '000')) || '_' || column_name
, chr(13) || ', ') WITHIN GROUP (order by column_id)
|| chr(13) || ' from (select * from parmquery where row_number = 1) ' || corr_name_1
|| chr(13) || ', (select * from parmquery where row_number = 2) ' || corr_name_2
|| chr(13) || ') where ''DIFFERENT'' IN (' || LISTAGG ('cf_' || trim (to_char (column_id, '000')) || '_' || column_name, chr(13) || ', ') within group (order by column_id) || ')'
as cfsynt
from parms, (
select
'decode (' || corr_name_1 || '.' || column_name || ', ' || corr_name_2
|| '.' || column_name || ', ''SAME'', ''DIFFERENT'')'
as cfcol,
column_name,
column_id
from
parms,
all_tab_columns
where
owner = &&tab_owner and table_name = upper ('&&test_tab_name')
);
with parmquery as (select rownum as row_number, vals.* from (
select * from &&test_tab_name
where &&where_clause
order by &&order_by
) vals
) &&comparison_syntax
;