Split column into multiple rows in Postgres
Suppose I have a table like this:
subject | flag
----------------+------
this is a test | 2
subject
is of type text
, and flag
is of type int
. I would like to transform this table to something like this in Postgres:
token | flag
----------------+------
this | 2
is | 2
a | 2
test | 2
Is there an easy way to do this?
sql postgresql split set-returning-functions
add a comment |
Suppose I have a table like this:
subject | flag
----------------+------
this is a test | 2
subject
is of type text
, and flag
is of type int
. I would like to transform this table to something like this in Postgres:
token | flag
----------------+------
this | 2
is | 2
a | 2
test | 2
Is there an easy way to do this?
sql postgresql split set-returning-functions
add a comment |
Suppose I have a table like this:
subject | flag
----------------+------
this is a test | 2
subject
is of type text
, and flag
is of type int
. I would like to transform this table to something like this in Postgres:
token | flag
----------------+------
this | 2
is | 2
a | 2
test | 2
Is there an easy way to do this?
sql postgresql split set-returning-functions
Suppose I have a table like this:
subject | flag
----------------+------
this is a test | 2
subject
is of type text
, and flag
is of type int
. I would like to transform this table to something like this in Postgres:
token | flag
----------------+------
this | 2
is | 2
a | 2
test | 2
Is there an easy way to do this?
sql postgresql split set-returning-functions
sql postgresql split set-returning-functions
edited Apr 2 '15 at 18:59
Erwin Brandstetter
348k68635813
348k68635813
asked Apr 2 '15 at 18:31
mgoldwassermgoldwasser
5,15383972
5,15383972
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
In Postgres 9.3+ use a LATERAL
join:
SELECT s.token, flag
FROM tbl t, unnest(string_to_array(t.subject, ' ')) s(token)
WHERE flag = 2;
Note that the shorthand form of a LATERAL
join only returns rows, if unnest()
actually returns row(s).
You could also use regexp_split_to_table()
, but that's typically slower because regular expression matching costs a bit more.
Related:
- SQL select rows containing substring in text field
- PostgreSQL unnest() with element number
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
In Postgres 9.3+ use a LATERAL
join:
SELECT s.token, flag
FROM tbl t, unnest(string_to_array(t.subject, ' ')) s(token)
WHERE flag = 2;
Note that the shorthand form of a LATERAL
join only returns rows, if unnest()
actually returns row(s).
You could also use regexp_split_to_table()
, but that's typically slower because regular expression matching costs a bit more.
Related:
- SQL select rows containing substring in text field
- PostgreSQL unnest() with element number
add a comment |
In Postgres 9.3+ use a LATERAL
join:
SELECT s.token, flag
FROM tbl t, unnest(string_to_array(t.subject, ' ')) s(token)
WHERE flag = 2;
Note that the shorthand form of a LATERAL
join only returns rows, if unnest()
actually returns row(s).
You could also use regexp_split_to_table()
, but that's typically slower because regular expression matching costs a bit more.
Related:
- SQL select rows containing substring in text field
- PostgreSQL unnest() with element number
add a comment |
In Postgres 9.3+ use a LATERAL
join:
SELECT s.token, flag
FROM tbl t, unnest(string_to_array(t.subject, ' ')) s(token)
WHERE flag = 2;
Note that the shorthand form of a LATERAL
join only returns rows, if unnest()
actually returns row(s).
You could also use regexp_split_to_table()
, but that's typically slower because regular expression matching costs a bit more.
Related:
- SQL select rows containing substring in text field
- PostgreSQL unnest() with element number
In Postgres 9.3+ use a LATERAL
join:
SELECT s.token, flag
FROM tbl t, unnest(string_to_array(t.subject, ' ')) s(token)
WHERE flag = 2;
Note that the shorthand form of a LATERAL
join only returns rows, if unnest()
actually returns row(s).
You could also use regexp_split_to_table()
, but that's typically slower because regular expression matching costs a bit more.
Related:
- SQL select rows containing substring in text field
- PostgreSQL unnest() with element number
edited May 23 '17 at 12:25
Community♦
11
11
answered Apr 2 '15 at 18:34
Erwin BrandstetterErwin Brandstetter
348k68635813
348k68635813
add a comment |
add a comment |
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