Show tables, describe tables equivalent in redshift - amazon-web-services

I'm new to aws, can anyone tell me what are redshifts' equivalents to mysql commands?
show tables -- redshift command
describe table_name -- redshift command

All the information can be found in a PG_TABLE_DEF table, documentation.
Listing all tables in a public schema (default) - show tables equivalent:
SELECT DISTINCT tablename
FROM pg_table_def
WHERE schemaname = 'public'
ORDER BY tablename;
Description of all the columns from a table called table_name - describe table equivalent:
SELECT *
FROM pg_table_def
WHERE tablename = 'table_name'
AND schemaname = 'public';
Update:
As pointed by #Kishan Pandey 's answer, if you are looking for details of a schema different by public, you need to set search_path to my_schema. (show search_path display current search path)
Listing tables in my_schema schema:
set search_path to my_schema;
select * from pg_table_def;

I had to select from the information schema to get details of my tables and columns; in case it helps anyone:
SELECT * FROM information_schema.tables
WHERE table_schema = 'myschema';
SELECT * FROM information_schema.columns
WHERE table_schema = 'myschema' AND table_name = 'mytable';

Or simply:
\dt to show tables
\d+ <table name> to describe a table
Edit: Works using the psql command line client

Tomasz Tybulewicz answer is good way to go.
SELECT * FROM pg_table_def WHERE tablename = 'YOUR_TABLE_NAME' AND schemaname = 'YOUR_SCHEMA_NAME';
If schema name is not defined in search path , that query will show empty result.
Please first check search path by below code.
SHOW SEARCH_PATH
If schema name is not defined in search path , you can reset search path.
SET SEARCH_PATH to '$user', public, YOUR_SCEHMA_NAME

You can use - desc / to see the view/table definition in Redshift. I have been using Workbench/J as a SQL client for Redshift and it gives the definition in the Messages tab adjacent to Result tab.

In the following post, I documented queries to retrieve TABLE and COLUMN comments from Redshift.
https://sqlsylvia.wordpress.com/2017/04/29/redshift-comment-views-documenting-data/
Enjoy!
Table Comments
SELECT n.nspname AS schema_name
, pg_get_userbyid(c.relowner) AS table_owner
, c.relname AS table_name
, CASE WHEN c.relkind = 'v' THEN 'view' ELSE 'table' END
AS table_type
, d.description AS table_description
FROM pg_class As c
LEFT JOIN pg_namespace n ON n.oid = c.relnamespace
LEFT JOIN pg_tablespace t ON t.oid = c.reltablespace
LEFT JOIN pg_description As d
ON (d.objoid = c.oid AND d.objsubid = 0)
WHERE c.relkind IN('r', 'v') AND d.description > ''
ORDER BY n.nspname, c.relname ;
Column Comments
SELECT n.nspname AS schema_name
, pg_get_userbyid(c.relowner) AS table_owner
, c.relname AS table_name
, a.attname AS column_name
, d.description AS column_description
FROM pg_class AS c
INNER JOIN pg_attribute As a ON c.oid = a.attrelid
INNER JOIN pg_namespace n ON n.oid = c.relnamespace
LEFT JOIN pg_tablespace t ON t.oid = c.reltablespace
LEFT JOIN pg_description As d
ON (d.objoid = c.oid AND d.objsubid = a.attnum)
WHERE c.relkind IN('r', 'v')
AND a.attname NOT
IN ('cmax', 'oid', 'cmin', 'deletexid', 'ctid', 'tableoid','xmax', 'xmin', 'insertxid')
ORDER BY n.nspname, c.relname, a.attname;

Shortcut
\d for show all tables
\d tablename to describe table
\? for more shortcuts for redshift

redshift now support show table
show table analytics.dw_users
https://forums.aws.amazon.com/ann.jspa?annID=8641

You can simply use the command below to describe a table.
desc table-name
or
desc schema-name.table-name

Related

how do i loop through tables to get counts

I have tried to use the following, but it seems that different nodes cannot be mixed:
WITH tables_i_want AS (
SELECT *, table_schema||'.'||table_name as tbl FROM temp.redshift_mod_dates WHERE table_schema = 'whatever'
)
SELECT nspname
FROM pg_catalog.pg_class AS c
JOIN pg_catalog.pg_namespace AS ns
ON c.relnamespace = ns.oid
INNER JOIN tables_i_want as tiw
ON tiw.tbl = c.oid
AND relname not like 'pg_%'
so, then I tried a procedure:
CREATE OR REPLACE PROCEDURE f_test()
LANGUAGE plpgsql
AS $$
DECLARE
full_table_name1 VARCHAR;
full_table_name VARCHAR;
BEGIN
FOR full_table_name IN (SELECT table_schema||'.'||table_name as full_table_name FROM temp.redshift_mod_dates WHERE table_schema = 'whatever')
LOOP
EXECUTE 'SELECT INTO temp.redshift_tables_with_cnt %, COUNT(*) FROM %', full_table_name;
RAISE INFO '%', full_table_name;
END LOOP;
END;
$$;
seems there's an issue with the variable:
[42601] ERROR: syntax error at or near "$1" Where: SQL statement in PL/PgSQL function "f_test" near line 5
If you want to receive the row-count for all the tables you could achieve it using the following query
select tab.table_schema,
tab.table_name,
tinf.tbl_rows as rows
from svv_tables tab
join svv_table_info tinf
on tab.table_schema = tinf.schema
and tab.table_name = tinf.table
where tab.table_type = 'BASE TABLE'
and tab.table_schema not in('pg_catalog','information_schema')
and tinf.tbl_rows > 1
order by tinf.tbl_rows desc;
You can have the data stored into a temporary table and then move them to a persistant table or do further processing as required.

Redshift: How to list all users in a group

Getting the list of users belonging to a group in Redshift seems to be a fairly common task but I don't know how to interpret BLOB in grolist field.
I am literally getting "BLOB" in grolist field from TeamSQL. Not so sure this is specific to TeamSQL but I kind of remember thatI got a list of IDs there instead previously in other tool
This worked for me:
select usename
from pg_user , pg_group
where pg_user.usesysid = ANY(pg_group.grolist) and
pg_group.groname='<YOUR_GROUP_NAME>';
SELECT usename, groname
FROM pg_user, pg_group
WHERE pg_user.usesysid = ANY(pg_group.grolist)
AND pg_group.groname in (SELECT DISTINCT pg_group.groname from pg_group);
This will provide the usernames along with the respective groups.
this worked better for me:
SELECT
pu.usename,
pg.groname
FROM
pg_user pu
left join pg_group pg
on pu.usesysid = ANY(pg.grolist)
order by pu.usename

Redshift column names

I'm new to redshift. I have some tables in 'abc' schema whose column names and primary key information needs to be extracted. Can someone guide.
Assume schema name is 'abc' and table name is 'xyz' whose columns are required to be listed in a single row.
Use v_generate_tbl_ddl.sql provided by AWS Labs, you can use table level or schema level filters.
You can query the SVV_COLUMNS table. It includes:
Scheme Name
Table Name
Column Name
I used this query to get a list of primary keys. A lot of additional info can be added. Postres official documentation to pg_ tables helps a lot.
SELECT
f.attname AS column_name
FROM
pg_catalog.pg_namespace n
JOIN pg_catalog.pg_class c ON
n.oid = c.relnamespace
JOIN pg_catalog.pg_attribute f ON
c.oid = f.attrelid
JOIN pg_catalog.pg_constraint p ON
p.conrelid = c.oid
AND f.attnum = ANY (p.conkey)
WHERE
n.nspname = 'schema_name'
AND c.relkind = 'r'
AND c.relname = 'table_name'
AND p.contype = 'p'
AND f.attnum > 0
ORDER BY
f.attnum;

How do you query table names and row counts for all tables in a schema using HP NonStop SQL/MX?

How do you query table names and row counts for all tables in a schema using HP NonStop SQL/MX?
Thanks!
This might help you, althought this is more standard SQL and im not sure how much variation comes into sqlmx
SELECT
TableName = t.NAME,
TableSchema = s.Name,
RowCounts = p.rows
FROM
sys.tables t
INNER JOIN
sys.schemas s ON t.schema_id = s.schema_id
INNER JOIN
sys.indexes i ON t.OBJECT_ID = i.object_id
INNER JOIN
sys.partitions p ON i.object_id = p.OBJECT_ID AND i.index_id = p.index_id
WHERE
t.is_ms_shipped = 0
GROUP BY
t.NAME, s.Name, p.Rows
ORDER BY
s.Name, t.Name
Obviously this is an example, replace example data and table info with yours
Here is how to list the tables in a sql/mx schema, note that the system catalog name given here is an example, replace NONSTOP_SQLMX_SYSNAME with NONSTOP_SQLMX_xxxx where xxxx is the Expand node name of your system.
Also the definition schema name includes the schema version number, this example uses 3600. This example lists all the base table names in schema JDFCAT.T.
See chapter 10 of the SQL/MX reference manual for information on the metadata tables.
The table row counts are not stored in the system metadata, so you can't get them from there. For a table do SELECT ROW COUNT FROM TABLE;
SELECT
O.OBJECT_NAME
FROM
NONSTOP_SQLMX_SYSNAME.SYSTEM_SCHEMA.CATSYS C
INNER JOIN NONSTOP_SQLMX_SYSNAME.SYSTEM_SCHEMA.SCHEMATA S
ON (S.CAT_UID = C.CAT_UID)
INNER JOIN JDFCAT.DEFINITION_SCHEMA_VERSION_3600.OBJECTS O
on S.SCHEMA_UID = o.SCHEMA_UID
WHERE C.CAT_NAME = 'JDFCAT' AND
S.SCHEMA_NAME = 'T' AND
O.OBJECT_TYPE = 'BT'
READ UNCOMMITTED ACCESS;

CFQuery - Update a table by comparing it to another table [duplicate]

I have a database with account numbers and card numbers. I match these to a file to update any card numbers to the account number so that I am only working with account numbers.
I created a view linking the table to the account/card database to return the Table ID and the related account number, and now I need to update those records where the ID matches the Account Number.
This is the Sales_Import table, where the account number field needs to be updated:
LeadID
AccountNumber
147
5807811235
150
5807811326
185
7006100100007267039
And this is the RetrieveAccountNumber table, where I need to update from:
LeadID
AccountNumber
147
7006100100007266957
150
7006100100007267039
I tried the below, but no luck so far:
UPDATE [Sales_Lead].[dbo].[Sales_Import]
SET [AccountNumber] = (SELECT RetrieveAccountNumber.AccountNumber
FROM RetrieveAccountNumber
WHERE [Sales_Lead].[dbo].[Sales_Import]. LeadID =
RetrieveAccountNumber.LeadID)
It updates the card numbers to account numbers, but the account numbers get replaced by NULL
I believe an UPDATE FROM with a JOIN will help:
MS SQL
UPDATE
Sales_Import
SET
Sales_Import.AccountNumber = RAN.AccountNumber
FROM
Sales_Import SI
INNER JOIN
RetrieveAccountNumber RAN
ON
SI.LeadID = RAN.LeadID;
MySQL and MariaDB
UPDATE
Sales_Import SI,
RetrieveAccountNumber RAN
SET
SI.AccountNumber = RAN.AccountNumber
WHERE
SI.LeadID = RAN.LeadID;
The simple Way to copy the content from one table to other is as follow:
UPDATE table2
SET table2.col1 = table1.col1,
table2.col2 = table1.col2,
...
FROM table1, table2
WHERE table1.memberid = table2.memberid
You can also add the condition to get the particular data copied.
For SQL Server 2008 + Using MERGE rather than the proprietary UPDATE ... FROM syntax has some appeal.
As well as being standard SQL and thus more portable it also will raise an error in the event of there being multiple joined rows on the source side (and thus multiple possible different values to use in the update) rather than having the final result be undeterministic.
MERGE INTO Sales_Import
USING RetrieveAccountNumber
ON Sales_Import.LeadID = RetrieveAccountNumber.LeadID
WHEN MATCHED THEN
UPDATE
SET AccountNumber = RetrieveAccountNumber.AccountNumber;
Unfortunately the choice of which to use may not come down purely to preferred style however. The implementation of MERGE in SQL Server has been afflicted with various bugs. Aaron Bertrand has compiled a list of the reported ones here.
Generic answer for future developers.
SQL Server
UPDATE
t1
SET
t1.column = t2.column
FROM
Table1 t1
INNER JOIN Table2 t2
ON t1.id = t2.id;
Oracle (and SQL Server)
UPDATE
t1
SET
t1.colmun = t2.column
FROM
Table1 t1,
Table2 t2
WHERE
t1.ID = t2.ID;
MySQL
UPDATE
Table1 t1,
Table2 t2
SET
t1.column = t2.column
WHERE
t1.ID = t2.ID;
For PostgreSQL:
UPDATE Sales_Import SI
SET AccountNumber = RAN.AccountNumber
FROM RetrieveAccountNumber RAN
WHERE RAN.LeadID = SI.LeadID;
Seems you are using MSSQL, then, if I remember correctly, it is done like this:
UPDATE [Sales_Lead].[dbo].[Sales_Import] SET [AccountNumber] =
RetrieveAccountNumber.AccountNumber
FROM RetrieveAccountNumber
WHERE [Sales_Lead].[dbo].[Sales_Import].LeadID = RetrieveAccountNumber.LeadID
I had the same problem with foo.new being set to null for rows of foo that had no matching key in bar. I did something like this in Oracle:
update foo
set foo.new = (select bar.new
from bar
where foo.key = bar.key)
where exists (select 1
from bar
where foo.key = bar.key)
Here's what worked for me in SQL Server:
UPDATE [AspNetUsers] SET
[AspNetUsers].[OrganizationId] = [UserProfile].[OrganizationId],
[AspNetUsers].[Name] = [UserProfile].[Name]
FROM [AspNetUsers], [UserProfile]
WHERE [AspNetUsers].[Id] = [UserProfile].[Id];
For MySql that works fine:
UPDATE
Sales_Import SI,RetrieveAccountNumber RAN
SET
SI.AccountNumber = RAN.AccountNumber
WHERE
SI.LeadID = RAN.LeadID
Thanks for the responses. I found a solution tho.
UPDATE Sales_Import
SET AccountNumber = (SELECT RetrieveAccountNumber.AccountNumber
FROM RetrieveAccountNumber
WHERE Sales_Import.leadid =RetrieveAccountNumber.LeadID)
WHERE Sales_Import.leadid = (SELECT RetrieveAccountNumber.LeadID
FROM RetrieveAccountNumber
WHERE Sales_Import.leadid = RetrieveAccountNumber.LeadID)
In case the tables are in a different databases. (MSSQL)
update database1..Ciudad
set CiudadDistrito=c2.CiudadDistrito
FROM database1..Ciudad c1
inner join
database2..Ciudad c2 on c2.CiudadID=c1.CiudadID
Use the following block of query to update Table1 with Table2 based on ID:
UPDATE Sales_Import, RetrieveAccountNumber
SET Sales_Import.AccountNumber = RetrieveAccountNumber.AccountNumber
where Sales_Import.LeadID = RetrieveAccountNumber.LeadID;
This is the easiest way to tackle this problem.
MS Sql
UPDATE c4 SET Price=cp.Price*p.FactorRate FROM TableNamea_A c4
inner join TableNamea_B p on c4.Calcid=p.calcid
inner join TableNamea_A cp on c4.Calcid=cp.calcid
WHERE c4..Name='MyName';
Oracle 11g
MERGE INTO TableNamea_A u
using
(
SELECT c4.TableName_A_ID,(cp.Price*p.FactorRate) as CalcTot
FROM TableNamea_A c4
inner join TableNamea_B p on c4.Calcid=p.calcid
inner join TableNamea_A cp on c4.Calcid=cp.calcid
WHERE p.Name='MyName'
) rt
on (u.TableNamea_A_ID=rt.TableNamea_B_ID)
WHEN MATCHED THEN
Update set Price=CalcTot ;
update from one table to another table on id matched
UPDATE
TABLE1 t1,
TABLE2 t2
SET
t1.column_name = t2.column_name
WHERE
t1.id = t2.id;
The below SQL someone suggested, does NOT work in SQL Server. This syntax reminds me of my old school class:
UPDATE table2
SET table2.col1 = table1.col1,
table2.col2 = table1.col2,
...
FROM table1, table2
WHERE table1.memberid = table2.memberid
All other queries using NOT IN or NOT EXISTS are not recommended. NULLs show up because OP compares entire dataset with smaller subset, then of course there will be matching problem. This must be fixed by writing proper SQL with correct JOIN instead of dodging problem by using NOT IN. You might run into other problems by using NOT IN or NOT EXISTS in this case.
My vote for the top one, which is conventional way of updating a table based on another table by joining in SQL Server. Like I said, you cannot use two tables in same UPDATE statement in SQL Server unless you join them first.
This is the easiest and best have seen for Mysql and Maria DB
UPDATE table2, table1 SET table2.by_department = table1.department WHERE table1.id = table2.by_id
Note: If you encounter the following error based on your Mysql/Maria DB version "Error Code: 1175. You are using safe update mode and you tried to update a table without a WHERE that uses a KEY column To disable safe mode, toggle the option in Preferences"
Then run the code like this
SET SQL_SAFE_UPDATES=0;
UPDATE table2, table1 SET table2.by_department = table1.department WHERE table1.id = table2.by_id
it works with postgresql
UPDATE application
SET omts_received_date = (
SELECT
date_created
FROM
application_history
WHERE
application.id = application_history.application_id
AND application_history.application_status_id = 8
);
update within the same table:
DECLARE #TB1 TABLE
(
No Int
,Name NVarchar(50)
,linkNo int
)
DECLARE #TB2 TABLE
(
No Int
,Name NVarchar(50)
,linkNo int
)
INSERT INTO #TB1 VALUES(1,'changed person data', 0);
INSERT INTO #TB1 VALUES(2,'old linked data of person', 1);
INSERT INTO #TB2 SELECT * FROM #TB1 WHERE linkNo = 0
SELECT * FROM #TB1
SELECT * FROM #TB2
UPDATE #TB1
SET Name = T2.Name
FROM #TB1 T1
INNER JOIN #TB2 T2 ON T2.No = T1.linkNo
SELECT * FROM #TB1
I thought this is a simple example might someone get it easier,
DECLARE #TB1 TABLE
(
No Int
,Name NVarchar(50)
)
DECLARE #TB2 TABLE
(
No Int
,Name NVarchar(50)
)
INSERT INTO #TB1 VALUES(1,'asdf');
INSERT INTO #TB1 VALUES(2,'awerq');
INSERT INTO #TB2 VALUES(1,';oiup');
INSERT INTO #TB2 VALUES(2,'lkjhj');
SELECT * FROM #TB1
UPDATE #TB1 SET Name =S.Name
FROM #TB1 T
INNER JOIN #TB2 S
ON S.No = T.No
SELECT * FROM #TB1
try this :
UPDATE
Table_A
SET
Table_A.AccountNumber = Table_B.AccountNumber ,
FROM
dbo.Sales_Import AS Table_A
INNER JOIN dbo.RetrieveAccountNumber AS Table_B
ON Table_A.LeadID = Table_B.LeadID
WHERE
Table_A.LeadID = Table_B.LeadID
MYSQL (This is my preferred way for restoring all specific column reasonId values, based on primary key id equivalence)
UPDATE `site` AS destination
INNER JOIN `site_copy` AS backupOnTuesday
ON backupOnTuesday.`id` = destination.`id`
SET destdestination.`reasonId` = backupOnTuesday.`reasonId`
This will allow you to update a table based on the column value not being found in another table.
UPDATE table1 SET table1.column = 'some_new_val' WHERE table1.id IN (
SELECT *
FROM (
SELECT table1.id
FROM table1
LEFT JOIN table2 ON ( table2.column = table1.column )
WHERE table1.column = 'some_expected_val'
AND table12.column IS NULL
) AS Xalias
)
This will update a table based on the column value being found in both tables.
UPDATE table1 SET table1.column = 'some_new_val' WHERE table1.id IN (
SELECT *
FROM (
SELECT table1.id
FROM table1
JOIN table2 ON ( table2.column = table1.column )
WHERE table1.column = 'some_expected_val'
) AS Xalias
)
Summarizing the other answers, there're 4 variants of how to update target table using data from another table only when "match exists"
Query and sub-query:
update si
set si.AccountNumber = (
select ran.AccountNumber
from RetrieveAccountNumber ran
where si.LeadID = ran.LeadID
)
from Sales_Import si
where exists (select * from RetrieveAccountNumber ran where ran.LeadID = si.LeadID)
Inner join:
update si
set si.AccountNumber = ran.AccountNumber
from Sales_Import si inner join RetrieveAccountNumber ran on si.LeadID = ran.LeadID
Cross join:
update si
set si.AccountNumber = ran.AccountNumber
from Sales_Import si, RetrieveAccountNumber ran
where si.LeadID = ran.LeadID
Merge:
merge into Sales_Import si
using RetrieveAccountNumber ran on si.LeadID = ran.LeadID
when matched then update set si.accountnumber = ran.accountnumber;
All variants are more-less trivial and understandable, personally I prefer "inner join" option. But any of them could be used and developer has to select "better option" according to his/her needs
From performance perspective variants with join-s are more preferable:
Oracle 11g
merge into Sales_Import
using RetrieveAccountNumber
on (Sales_Import.LeadId = RetrieveAccountNumber.LeadId)
when matched then update set Sales_Import.AccountNumber = RetrieveAccountNumber.AccountNumber;
For Oracle SQL try using alias
UPDATE Sales_Lead.dbo.Sales_Import SI
SET SI.AccountNumber = (SELECT RAN.AccountNumber FROM RetrieveAccountNumber RAN WHERE RAN.LeadID = SI.LeadID);
I'd like to add one extra thing.
Don't update a value with the same value, it generates extra logging and unnecessary overhead.
See example below - it will only perform the update on 2 records despite linking on 3.
DROP TABLE #TMP1
DROP TABLE #TMP2
CREATE TABLE #TMP1(LeadID Int,AccountNumber NVarchar(50))
CREATE TABLE #TMP2(LeadID Int,AccountNumber NVarchar(50))
INSERT INTO #TMP1 VALUES
(147,'5807811235')
,(150,'5807811326')
,(185,'7006100100007267039');
INSERT INTO #TMP2 VALUES
(147,'7006100100007266957')
,(150,'7006100100007267039')
,(185,'7006100100007267039');
UPDATE A
SET A.AccountNumber = B.AccountNumber
FROM
#TMP1 A
INNER JOIN #TMP2 B
ON
A.LeadID = B.LeadID
WHERE
A.AccountNumber <> B.AccountNumber --DON'T OVERWRITE A VALUE WITH THE SAME VALUE
SELECT * FROM #TMP1
ORACLE
use
UPDATE suppliers
SET supplier_name = (SELECT customers.customer_name
FROM customers
WHERE customers.customer_id = suppliers.supplier_id)
WHERE EXISTS (SELECT customers.customer_name
FROM customers
WHERE customers.customer_id = suppliers.supplier_id);
update table1 dpm set col1 = dpu.col1 from table2 dpu where dpm.parameter_master_id = dpu.parameter_master_id;
If above answers not working for you try this
Update Sales_Import A left join RetrieveAccountNumber B on A.LeadID = B.LeadID
Set A.AccountNumber = B.AccountNumber
where A.LeadID = B.LeadID