Whenever a execute a query such as :
CREATE TABLE myTable (myColumn INTEGER);
PostgreSQL automatically converts the Table and Column names to lowercase like this:
CREATE TABLE mytable (mycolumn INTEGER);
Is there any way to change the source code of PostgreSQL to avoid this automatic change?
I know the Double Quote method... But...
The Application I'm using is very large. So it is very difficult to change every occurrence of the query. Instead, I would like to change the source code of PostgreSQL which is found on GitHub.
You can use double quotes:
CREATE TABLE "myTable" ("myColumn" INTEGER);
Related
I'm trying to change all the USER-DEFINED columns to TEXT in a specific view using pgsql.
Is it possible to do that in a single alter table query ou do I need to check first what columns contain that dataype and then perform the dataype change one by one?
This is what I'm trying:
ALTER TABLE if exists "schemaName"."Table_A"
ALTER COLUMN (
select column_name
from information_schema.columns inf
where table_name = 'Table_A' and inf.data_type = 'USER-DEFINED')
TYPE TEXT;
I'm getting and error in the subquery start "("
You need to do this one by one. Generally speaking such DDL statements cannot work on several objects in one statement.
For ALTER TABLE, see: https://www.postgresql.org/docs/12/sql-altertable.html.
FOR ALTER VIEW, see: https://www.postgresql.org/docs/current/sql-alterview.html
I have a column where I want to change the data type. I currently am using Redshift. I know I can use the alter table statement to change the datatype, but this would change the order of the columns.
Is there a way to change the datatype without changing the order of the column?
I would recommend creating a new table with the schema you want and copying it over from the old table using a insert into new_table (select * from old_table) statement (here you can also do any casting to the new data type), after which you can drop the old table and rename the new one:
drop table old_table;
alter table new_table rename to old_table;
Using ALTER TABLE table_name ALTER COLUMN column_name TYPE new_data_type will not change the order of the columns in your table.
Please note that this clause can only changes the size of a column defined as a VARCHAR data type.
There are also other limitations described in AWS documentation of ALTER TABLE
I want to use JPA to create tables automatically by persistence.xml setting, but i found each sql must write in a single line and there must not have a semicolon just like below:
The first situation dose not work(because the code is not in a single line manner)
create table student(
id Integer,
name varchar2(50)
)
The Second situation dose not work neither(because a semicolon added at the end of the sql sentence):
create table school(id Integer, name varchar2(50));
create table student(id Integer, name varchar2(50),school_id Integer);
The SQLs listed below are correct(which have not semicolons in each line end, and every line is a standalone sql),but create a table SQL in a single line should not be friendly to read and maintain. Is anybody know a better way to resolve this issue?
create table school(id Integer, name varchar2(50))
create table student(id Integer, name varchar2(50),school_id Integer)
We're in process of converting over from SQL Server to Postgres. I have a scenario that I am trying to accommodate. It involves inserting records from one table into another, WITHOUT listing out all of the columns. I realize this is not recommended practice, but let's set that aside for now.
drop table if exists pk_test_table;
create table public.pk_test_table
(
recordid SERIAL PRIMARY KEY NOT NULL,
name text
);
--example 1: works and will insert a record with an id of 1
insert into pk_test_table values(default,'puppies');
--example 2: fails
insert into pk_test_table
select first_name from person_test;
Error I receive in the second example:
column "recordid" is of type integer but expression is of type
character varying Hint: You will need to rewrite or cast the
expression.
The default keyword will tell the database to grab the next value.
Is there any way to utilize this keyword in the second example? Or some way to tell the database to ignore auto-incremented columns and just them be populated like normal?
I would prefer to not use a subquery to grab the next "id".
This functionality works in SQL Server and hence the question.
Thanks in advance for your help!
If you can't list column names, you should instead use the DEFAULT keyword, as you've done in the simple insert example. This won't work with a in insert into ... select ....
For that, you need to invoke nextval. A subquery is not required, just:
insert into pk_test_table
select nextval('pk_test_table_id_seq'), first_name from person_test;
You do need to know the sequence name. You could get that from information_schema based on the table name and inferring its primary key, using a function that takes just the table name as an argument. It'd be ugly, but it'd work. I don't think there's any way around needing to know the table name.
You're inserting value into the first column, but you need to add a value in the second position.
Therefore you can use INSERT INTO table(field) VALUES(value) syntax.
Since you need to fetch values from another table, you have to remove VALUES and put the subquery there.
insert into pk_test_table(name)
select first_name from person_test;
I hope it helps
I do it this way via a separate function- though I think I'm getting around the issue via the table level having the DEFAULT settings on a per field basis.
create table public.pk_test_table
(
recordid integer NOT NULL DEFAULT nextval('pk_test_table_id_seq'),
name text,
field3 integer NOT NULL DEFAULT 64,
null_field_if_not_set integer,
CONSTRAINT pk_test_table_pkey PRIMARY KEY ("recordid")
);
With function:
CREATE OR REPLACE FUNCTION func_pk_test_table() RETURNS void AS
$BODY$
INSERT INTO pk_test_table (name)
SELECT first_name FROM person_test;
$BODY$
LANGUAGE sql VOLATILE;
Then just execute the function via a SELECT FROM func_pk_test_table();
Notice it hasn't had to specify all the fields- as long as constraints allow it.
I am working with hive version 0.9 and I need delete columns of a hive table. I have searched in several manuals of hive commands but I only I have found commands to version 0.14. Is possible to delete a column of a hive table in hive version 0.9? What is the command?
Thanks.
We can’t simply drop a table column from a hive table using the below statement like sql.
ALTER TABLE tbl_name drop column column_name ---- it will not work.
So there is a shortcut to drop columns from a hive table.
Let’s say we have a hive table.
From this table I want to drop the column Dob. You can use the ALTER TABLE REPLACE statement to drop a column.
ALTER TABLE test_tbl REPLACE COLUMNS(ID STRING,NAME STRING,AGE STRING); you have to give the column names which you want to keep in the table
There isn't a drop column or delete column in Hive.
A SELECT statement can take regex-based column specification in Hive releases prior to 0.13.0, or in 0.13.0 and later releases if the configuration property hive.support.quoted.identifiers is set to none.
That being said you could create a new table or view using the following:
drop table if exists database.table_name;
create table if not exists database.table_name as
select `(column_to_remove_1|...|column_to_remove_N)?+.+`
from database.some_table
where
...
;
This will create a table that has all the columns from some_table except the columns named column_to_remove_1, ... , to column_to_remove_N. You can also choose to create a view instead.
ALTER TABLE table_name REPLACE COLUMNS ( c1 int, c2 String);
NOTE: eliminate column from column list. It will keep matched columns and removed unmentioned columns from table schema.
we can not delete column from hive table . But droping a table(if its external) in hive and the recreating table(with column excluded) ,wont delete ur data .
so what can u do is(if u dont have table structure) run this command :
show create table database_name.table_name;
Then you can copy it and edit it (with column eliminated).Afterwards you can do as per invoke the shell
table details are empid,name,dept,salary ,address. i want remove address column. Just write REPLACE COLUMNS like below query
jdbc:hive2://> alter table employee replace columns(empid int, name string,dept string,salary int);
As mentioned before, you can't drop table using an alter statement.
Alter - replace is not guaranteed to work in all the cases.
I found the best answer for this here:
https://stackoverflow.com/a/48921280/4385453