I have a Redshift table with the following column
How can I extract the value starting by cat_ from this column please (there is only one for each row and at different position in the array)?
I want to get those results:
cat_incident
cat_feature_missing
cat_duplicated_request
Thanks!
There is no easy way to extract multiple values from within one column in SQL (or at least not in the SQL used by Redshift).
You could write a User-Defined Function (UDF) that returns a string containing those values, separated by newlines. Whether this is acceptable depends on what you wish to do with the output (eg JOIN against it).
Another option is to pre-process the data before it is loaded into Redshift, to put this information in a separate one-to-many table, with each value in its own row. It would then be trivial to return this information.
You can do this using tally table (table with numbers). Check this link on information how to create this table: http://www.sqlservercentral.com/articles/T-SQL/62867/
Here is example how you would use it. In real life you should replace temporary #tally table with a permanent one.
--create sample table with data
create table #a (tags varchar(500));
insert into #a
select 'blah,cat_incident,mcr_close_ticket'
union
select 'blah-blah,cat_feature_missing,cat_duplicated_request';
--create tally table
create table #tally(n int);
insert into #tally
select 1
union select 2
union select 3
union select 4
union select 5
;
--get tags
select * from
(
select TRIM(SPLIT_PART(a.tags, ',', t.n)) AS single_tag
from #tally t
inner join #a a ON t.n <= REGEXP_COUNT(a.tags, ',') + 1 and n<1000
)
where single_tag like 'cat%'
;
Thanks!
In the end I managed to do it with the following query:
SELECT SUBSTRING(SUBSTRING(tags, charindex('cat_', tags), len(tags)), 0, charindex(',', SUBSTRING(tags, charindex('cat_', tags), len(tags)))) tags
FROM table
Is there any way to create a temporary table in Google BigQuery through:
SELECT * INTO <temp table>
FROM <table name>
same as we can create in SQL?
For complex queries, I need to create temporary tables to store my data.
2018 update - definitive answer with DDL
With BigQuery's DDL support you can create a table from the results a query - and specify its expiration at creation time. For example, for 3 days:
#standardSQL
CREATE TABLE `fh-bigquery.public_dump.vtemp`
OPTIONS(
expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 3 DAY)
) AS
SELECT corpus, COUNT(*) c
FROM `bigquery-public-data.samples.shakespeare`
GROUP BY corpus
Docs: https://cloud.google.com/bigquery/docs/data-definition-language
2019 update -- With BigQuery scripting (Beta now), CREATE TEMP TABLE is officially supported. See public documentation here.
2018 update: https://stackoverflow.com/a/50227484/132438
Every query in bigquery creates a temporary table with the results. Temporary unless you give a name to the destination table, then you are in control of its lifecycle.
Use the api to see the temporary table name, or name your tables when querying.
2019 update -- With BigQuery scripting, CREATE TEMP TABLE is officially supported. See public documentation here.
CREATE TEMP TABLE Example
(
x INT64,
y STRING
);
INSERT INTO Example
VALUES (5, 'foo');
INSERT INTO Example
VALUES (6, 'bar');
SELECT *
FROM Example;
A temporary table can be created with WITH in the "New Standard SQL". See WITH clause.
An example given by Google:
WITH subQ1 AS (SELECT SchoolID FROM Roster),
subQ2 AS (SELECT OpponentID FROM PlayerStats)
SELECT * FROM subQ1
UNION ALL
SELECT * FROM subQ2;
To create a temporary table, use the TEMP or TEMPORARY keyword when you use the CREATE TABLE statement and use of CREATE TEMPORARY TABLE requires a script , so its better to start with begin statement.
Begin
CREATE TEMP TABLE <table_name> as select * from <table_name> where <condition>;
End ;
Example of creating temp tables in GCP bigquery
CREATE TABLE `project_ID_XXXX.Sales.superStore2011`
OPTIONS(
expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 1 DAY)
) AS
SELECT
Product_Name,Product_Category, SUM(profit) Total_Profit, FORMAT_DATE("%Y",Order_Date) AS Year
FROM
`project_ID_XXXX.Sales.superStore`
WHERE
FORMAT_DATE("%Y",Order_Date)="2011"
GROUP BY
Product_Name,Product_Category,Order_Date
ORDER BY
Year, Total_Profit DESC
LIMIT 5
It's 2022, and if you type the codes to create a TEMP table in BQ's interactive windows, it will not work. Probably will display below error message:
Vaguely it will give you an idea that your interactive windows should be tied with some session. There is the official documentation on how to create sessions etc.,
The short and easy method for me was go to MORE menu of the Google BigQuery Interactive windows, select Query Settings
It will display below SS (as of 2022 April)
Enable/click Use session mode and SAVE. That's it enjoy your Temporary Tables :D
Take the SQL sample of
SELECT name,count FROM mydataset.babynames
WHERE gender = 'M' ORDER BY count DESC LIMIT 6 INTO mydataset.happyhalloween;
The easiest command line equivalent is
bq query --destination_table=mydataset.happyhalloween \
"SELECT name,count FROM mydataset.babynames WHERE gender = 'M' \
ORDER BY count DESC LIMIT 6"
See the documentation here:
https://cloud.google.com/bigquery/bq-command-line-tool#createtablequery
I followed Google's official document while learning UDF and encountered the issue: use of create temporary table requires a script or session
Erroneous script:
CREATE TEMP TABLE users
AS SELECT 1 id, 10 age
UNION ALL SELECT 2, 30
UNION ALL SELECT 3, 10;
Solution:
BEGIN
CREATE TEMP TABLE users
AS SELECT 1 id, 10 age
UNION ALL SELECT 2, 30
UNION ALL SELECT 3, 10;
END;
To create and store your data on the fly, you can specify optional _SESSION qualifier to create temporary table.
CREATE TEMP TABLE _SESSION.tmp_01
AS
SELECT name FROM `bigquery-public-data`.usa_names.usa_1910_current
WHERE year = 2017
;
Here you can create the table from a complex query starting after 'AS' and the temporary table will be created at once and will be deleted after 24 hours.
To access the table,
select * from _SESSION.tmp_01;
Update September 2022:
As per the documentation, you can create a temporary table like:
CREATE TEMP TABLE continents(name STRING, visitors INT64)
AS
select geo.continent, count(distinct user_pseudo_id) as Continent_Visitors
FROM `firebaseProject.dataset.events_date`
group by geo.continent order by Continent_Visitors desc;
SELECT * from continents;
Drop table continents;
I am trying to INSERT INTO a table using the input from another table. Although this is entirely feasible for many database engines, I always seem to struggle to remember the correct syntax for the SQL engine of the day (MySQL, Oracle, SQL Server, Informix, and DB2).
Is there a silver-bullet syntax coming from an SQL standard (for example, SQL-92) that would allow me to insert the values without worrying about the underlying database?
Try:
INSERT INTO table1 ( column1 )
SELECT col1
FROM table2
This is standard ANSI SQL and should work on any DBMS
It definitely works for:
Oracle
MS SQL Server
MySQL
Postgres
SQLite v3
Teradata
DB2
Sybase
Vertica
HSQLDB
H2
AWS RedShift
SAP HANA
Google Spanner
Claude Houle's answer: should work fine, and you can also have multiple columns and other data as well:
INSERT INTO table1 ( column1, column2, someInt, someVarChar )
SELECT table2.column1, table2.column2, 8, 'some string etc.'
FROM table2
WHERE table2.ID = 7;
I've only used this syntax with Access, SQL 2000/2005/Express, MySQL, and PostgreSQL, so those should be covered. It should also work with SQLite3.
To get only one value in a multi value INSERT from another table I did the following in SQLite3:
INSERT INTO column_1 ( val_1, val_from_other_table )
VALUES('val_1', (SELECT val_2 FROM table_2 WHERE val_2 = something))
Both the answers I see work fine in Informix specifically, and are basically standard SQL. That is, the notation:
INSERT INTO target_table[(<column-list>)] SELECT ... FROM ...;
works fine with Informix and, I would expect, all the DBMS. (Once upon 5 or more years ago, this is the sort of thing that MySQL did not always support; it now has decent support for this sort of standard SQL syntax and, AFAIK, it would work OK on this notation.) The column list is optional but indicates the target columns in sequence, so the first column of the result of the SELECT will go into the first listed column, etc. In the absence of the column list, the first column of the result of the SELECT goes into the first column of the target table.
What can be different between systems is the notation used to identify tables in different databases - the standard has nothing to say about inter-database (let alone inter-DBMS) operations. With Informix, you can use the following notation to identify a table:
[dbase[#server]:][owner.]table
That is, you may specify a database, optionally identifying the server that hosts that database if it is not in the current server, followed by an optional owner, dot, and finally the actual table name. The SQL standard uses the term schema for what Informix calls the owner. Thus, in Informix, any of the following notations could identify a table:
table
"owner".table
dbase:table
dbase:owner.table
dbase#server:table
dbase#server:owner.table
The owner in general does not need to be quoted; however, if you do use quotes, you need to get the owner name spelled correctly - it becomes case-sensitive. That is:
someone.table
"someone".table
SOMEONE.table
all identify the same table. With Informix, there's a mild complication with MODE ANSI databases, where owner names are generally converted to upper-case (informix is the exception). That is, in a MODE ANSI database (not commonly used), you could write:
CREATE TABLE someone.table ( ... )
and the owner name in the system catalog would be "SOMEONE", rather than 'someone'. If you enclose the owner name in double quotes, it acts like a delimited identifier. With standard SQL, delimited identifiers can be used many places. With Informix, you can use them only around owner names -- in other contexts, Informix treats both single-quoted and double-quoted strings as strings, rather than separating single-quoted strings as strings and double-quoted strings as delimited identifiers. (Of course, just for completeness, there is an environment variable, DELIMIDENT, that can be set - to any value, but Y is safest - to indicate that double quotes always surround delimited identifiers and single quotes always surround strings.)
Note that MS SQL Server manages to use [delimited identifiers] enclosed in square brackets. It looks weird to me, and is certainly not part of the SQL standard.
Two approaches for insert into with select sub-query.
With SELECT subquery returning results with One row.
With SELECT subquery returning results with Multiple rows.
1. Approach for With SELECT subquery returning results with one row.
INSERT INTO <table_name> (<field1>, <field2>, <field3>)
VALUES ('DUMMY1', (SELECT <field> FROM <table_name> ),'DUMMY2');
In this case, it assumes SELECT Sub-query returns only one row of result based on WHERE condition or SQL aggregate functions like SUM, MAX, AVG etc. Otherwise it will throw error
2. Approach for With SELECT subquery returning results with multiple rows.
INSERT INTO <table_name> (<field1>, <field2>, <field3>)
SELECT 'DUMMY1', <field>, 'DUMMY2' FROM <table_name>;
The second approach will work for both the cases.
To add something in the first answer, when we want only few records from another table (in this example only one):
INSERT INTO TABLE1
(COLUMN1, COLUMN2, COLUMN3, COLUMN4)
VALUES (value1, value2,
(SELECT COLUMN_TABLE2
FROM TABLE2
WHERE COLUMN_TABLE2 like "blabla"),
value4);
Instead of VALUES part of INSERT query, just use SELECT query as below.
INSERT INTO table1 ( column1 , 2, 3... )
SELECT col1, 2, 3... FROM table2
Most of the databases follow the basic syntax,
INSERT INTO TABLE_NAME
SELECT COL1, COL2 ...
FROM TABLE_YOU_NEED_TO_TAKE_FROM
;
Every database I have used follow this syntax namely, DB2, SQL Server, MY SQL, PostgresQL
This can be done without specifying the columns in the INSERT INTO part if you are supplying values for all columns in the SELECT part.
Let's say table1 has two columns. This query should work:
INSERT INTO table1
SELECT col1, col2
FROM table2
This WOULD NOT work (value for col2 is not specified):
INSERT INTO table1
SELECT col1
FROM table2
I'm using MS SQL Server. I don't know how other RDMS work.
This is another example using values with select:
INSERT INTO table1(desc, id, email)
SELECT "Hello World", 3, email FROM table2 WHERE ...
Just use parenthesis for SELECT clause into INSERT. For example like this :
INSERT INTO Table1 (col1, col2, your_desired_value_from_select_clause, col3)
VALUES (
'col1_value',
'col2_value',
(SELECT col_Table2 FROM Table2 WHERE IdTable2 = 'your_satisfied_value_for_col_Table2_selected'),
'col3_value'
);
Simple insertion when table column sequence is known:
Insert into Table1
values(1,2,...)
Simple insertion mentioning column:
Insert into Table1(col2,col4)
values(1,2)
Bulk insertion when number of selected columns of a table(#table2) are equal to insertion table(Table1)
Insert into Table1 {Column sequence}
Select * -- column sequence should be same.
from #table2
Bulk insertion when you want to insert only into desired column of a table(table1):
Insert into Table1 (Column1,Column2 ....Desired Column from Table1)
Select Column1,Column2..desired column from #table2
from #table2
Here is another example where source is taken using more than one table:
INSERT INTO cesc_pf_stmt_ext_wrk(
PF_EMP_CODE ,
PF_DEPT_CODE ,
PF_SEC_CODE ,
PF_PROL_NO ,
PF_FM_SEQ ,
PF_SEQ_NO ,
PF_SEP_TAG ,
PF_SOURCE)
SELECT
PFl_EMP_CODE ,
PFl_DEPT_CODE ,
PFl_SEC ,
PFl_PROL_NO ,
PF_FM_SEQ ,
PF_SEQ_NO ,
PFl_SEP_TAG ,
PF_SOURCE
FROM cesc_pf_stmt_ext,
cesc_pfl_emp_master
WHERE pfl_sep_tag LIKE '0'
AND pfl_emp_code=pf_emp_code(+);
COMMIT;
Here's how to insert from multiple tables. This particular example is where you have a mapping table in a many to many scenario:
insert into StudentCourseMap (StudentId, CourseId)
SELECT Student.Id, Course.Id FROM Student, Course
WHERE Student.Name = 'Paddy Murphy' AND Course.Name = 'Basket weaving for beginners'
(I realise matching on the student name might return more than one value but you get the idea. Matching on something other than an Id is necessary when the Id is an Identity column and is unknown.)
You could try this if you want to insert all column using SELECT * INTO table.
SELECT *
INTO Table2
FROM Table1;
I actually prefer the following in SQL Server 2008:
SELECT Table1.Column1, Table1.Column2, Table2.Column1, Table2.Column2, 'Some String' AS SomeString, 8 AS SomeInt
INTO Table3
FROM Table1 INNER JOIN Table2 ON Table1.Column1 = Table2.Column3
It eliminates the step of adding the Insert () set, and you just select which values go in the table.
This worked for me:
insert into table1 select * from table2
The sentence is a bit different from Oracle's.
INSERT INTO yourtable
SELECT fielda, fieldb, fieldc
FROM donortable;
This works on all DBMS
For Microsoft SQL Server, I will recommend learning to interpret the SYNTAX provided on MSDN. With Google it's easier than ever, to look for syntax.
For this particular case, try
Google: insert site:microsoft.com
The first result will be http://msdn.microsoft.com/en-us/library/ms174335.aspx
scroll down to the example ("Using the SELECT and EXECUTE options to insert data from other tables") if you find it difficult to interpret the syntax given at the top of the page.
[ WITH <common_table_expression> [ ,...n ] ]
INSERT
{
[ TOP ( expression ) [ PERCENT ] ]
[ INTO ]
{ <object> | rowset_function_limited
[ WITH ( <Table_Hint_Limited> [ ...n ] ) ]
}
{
[ ( column_list ) ]
[ <OUTPUT Clause> ]
{ VALUES ( { DEFAULT | NULL | expression } [ ,...n ] ) [ ,...n ]
| derived_table <<<<------- Look here ------------------------
| execute_statement <<<<------- Look here ------------------------
| <dml_table_source> <<<<------- Look here ------------------------
| DEFAULT VALUES
}
}
}
[;]
This should be applicable for any other RDBMS available there. There is no point in remembering all the syntax for all products IMO.
INSERT INTO FIRST_TABLE_NAME (COLUMN_NAME)
SELECT COLUMN_NAME
FROM ANOTHER_TABLE_NAME
WHERE CONDITION;
Best way to insert multiple records from any other tables.
INSERT INTO dbo.Users
( UserID ,
Full_Name ,
Login_Name ,
Password
)
SELECT UserID ,
Full_Name ,
Login_Name ,
Password
FROM Users_Table
(INNER JOIN / LEFT JOIN ...)
(WHERE CONDITION...)
(OTHER CLAUSE)
select *
into tmp
from orders
Looks nice, but works only if tmp doesn't exists (creates it and fills). (SQL sever)
To insert into existing tmp table:
set identity_insert tmp on
insert tmp
([OrderID]
,[CustomerID]
,[EmployeeID]
,[OrderDate]
,[RequiredDate]
,[ShippedDate]
,[ShipVia]
,[Freight]
,[ShipName]
,[ShipAddress]
,[ShipCity]
,[ShipRegion]
,[ShipPostalCode]
,[ShipCountry] )
select * from orders
set identity_insert tmp off
IF you want to insert some data into a table without want to write column name.
INSERT INTO CUSTOMER_INFO
(SELECT CUSTOMER_NAME,
MOBILE_NO,
ADDRESS
FROM OWNER_INFO cm)
Where the tables are:
CUSTOMER_INFO || OWNER_INFO
----------------------------------------||-------------------------------------
CUSTOMER_NAME | MOBILE_NO | ADDRESS || CUSTOMER_NAME | MOBILE_NO | ADDRESS
--------------|-----------|--------- || --------------|-----------|---------
A | +1 | DC || B | +55 | RR
Result:
CUSTOMER_INFO || OWNER_INFO
----------------------------------------||-------------------------------------
CUSTOMER_NAME | MOBILE_NO | ADDRESS || CUSTOMER_NAME | MOBILE_NO | ADDRESS
--------------|-----------|--------- || --------------|-----------|---------
A | +1 | DC || B | +55 | RR
B | +55 | RR ||
If you go the INSERT VALUES route to insert multiple rows, make sure to delimit the VALUES into sets using parentheses, so:
INSERT INTO `receiving_table`
(id,
first_name,
last_name)
VALUES
(1002,'Charles','Babbage'),
(1003,'George', 'Boole'),
(1001,'Donald','Chamberlin'),
(1004,'Alan','Turing'),
(1005,'My','Widenius');
Otherwise MySQL objects that "Column count doesn't match value count at row 1", and you end up writing a trivial post when you finally figure out what to do about it.
If you create table firstly you can use like this;
select * INTO TableYedek From Table
This metot insert values but differently with creating new copy table.
In informix it works as Claude said:
INSERT INTO table (column1, column2)
VALUES (value1, value2);
Postgres supports next:
create table company.monitor2 as select * from company.monitor;