Postgres 10.5: Create Materialized View where column data may be empty/null?
I am creating a Materialized View from two tables, using the array_agg function to join strings from table_b to table_a. Essentially, column_c on table_a is a nullable array of numbers corresponding to the id column of table_b (which has only two columns, id and description). However, the Materialized View fails to include a row for any row on table_a that is null / empty on column_c.
Is it possible to make the Materialized either (1) enter an empty array; or (2) a null value, when table_a column_c value is null?
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
FROM table_a
JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
postgresql materialized-views
add a comment |
I am creating a Materialized View from two tables, using the array_agg function to join strings from table_b to table_a. Essentially, column_c on table_a is a nullable array of numbers corresponding to the id column of table_b (which has only two columns, id and description). However, the Materialized View fails to include a row for any row on table_a that is null / empty on column_c.
Is it possible to make the Materialized either (1) enter an empty array; or (2) a null value, when table_a column_c value is null?
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
FROM table_a
JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
postgresql materialized-views
add a comment |
I am creating a Materialized View from two tables, using the array_agg function to join strings from table_b to table_a. Essentially, column_c on table_a is a nullable array of numbers corresponding to the id column of table_b (which has only two columns, id and description). However, the Materialized View fails to include a row for any row on table_a that is null / empty on column_c.
Is it possible to make the Materialized either (1) enter an empty array; or (2) a null value, when table_a column_c value is null?
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
FROM table_a
JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
postgresql materialized-views
I am creating a Materialized View from two tables, using the array_agg function to join strings from table_b to table_a. Essentially, column_c on table_a is a nullable array of numbers corresponding to the id column of table_b (which has only two columns, id and description). However, the Materialized View fails to include a row for any row on table_a that is null / empty on column_c.
Is it possible to make the Materialized either (1) enter an empty array; or (2) a null value, when table_a column_c value is null?
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
FROM table_a
JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
postgresql materialized-views
postgresql materialized-views
asked Dec 31 '18 at 20:48
KwhitejrKwhitejr
4061518
4061518
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add a comment |
1 Answer
1
active
oldest
votes
Use LEFT JOIN:
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
-- or
-- coalesce(array_agg(description), '{}') as column_c
FROM table_a
LEFT JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
For others like myself who need a refresher in JOIN types: sql-join.com/sql-join-types
– Kwhitejr
Jan 1 at 1:08
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
Use LEFT JOIN:
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
-- or
-- coalesce(array_agg(description), '{}') as column_c
FROM table_a
LEFT JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
For others like myself who need a refresher in JOIN types: sql-join.com/sql-join-types
– Kwhitejr
Jan 1 at 1:08
add a comment |
Use LEFT JOIN:
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
-- or
-- coalesce(array_agg(description), '{}') as column_c
FROM table_a
LEFT JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
For others like myself who need a refresher in JOIN types: sql-join.com/sql-join-types
– Kwhitejr
Jan 1 at 1:08
add a comment |
Use LEFT JOIN:
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
-- or
-- coalesce(array_agg(description), '{}') as column_c
FROM table_a
LEFT JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
Use LEFT JOIN:
CREATE MATERIALIZED VIEW my_materialized_view
AS
SELECT
id,
column_a,
column_b,
array_agg(description) as column_c
-- or
-- coalesce(array_agg(description), '{}') as column_c
FROM table_a
LEFT JOIN table_b on table_b.id = any(column_c)
GROUP BY table_a.id
ORDER BY table_a.id ASC
WITH DATA;
answered Dec 31 '18 at 21:57
klinklin
58.8k65283
58.8k65283
For others like myself who need a refresher in JOIN types: sql-join.com/sql-join-types
– Kwhitejr
Jan 1 at 1:08
add a comment |
For others like myself who need a refresher in JOIN types: sql-join.com/sql-join-types
– Kwhitejr
Jan 1 at 1:08
For others like myself who need a refresher in JOIN types: sql-join.com/sql-join-types
– Kwhitejr
Jan 1 at 1:08
For others like myself who need a refresher in JOIN types: sql-join.com/sql-join-types
– Kwhitejr
Jan 1 at 1:08
add a comment |
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