I would like to execute and update similar to this:
UPDATE dummy
SET customer=subquery.customer,
address=subquery.address,
partn=subquery.partn
FROM (SELECT address_id, customer, address, partn
FROM dummy) AS subquery
WHERE dummy.address_id=subquery.address_id;
Taken from this answer: https://stackoverflow.com/a/6258586/411965
I found this and wondered if this can auto converted to jooq fluent syntax.
What is the equivalent jooq query? specifically, how do I perform the outer when referencing the subquery?
Assuming you're using code generation, do it like this:
Table<?> subquery = table(
select(
DUMMY.ADDRESS_ID,
DUMMY.CUSTOMER,
DUMMY.ADDRESS,
DUMMY.PARTN
)
.from(DUMMY)
).as("subquery");
ctx.update(DUMMY)
.set(DUMMY.CUSTOMER, subquery.field(DUMMY.CUSTOMER))
.set(DUMMY.ADDRESS, subquery.field(DUMMY.ADDRESS))
.set(DUMMY.PARTN, subquery.field(DUMMY.PARTN))
.from(subquery)
.where(DUMMY.ADDRESS_ID.eq(subquery.field(DUMMY.ADDRESS_ID)))
.execute();
Of course, the query makes no sense it is, because you're just going to touch every row without modifying it, but since you copied the SQL from another answer, I'm assuming your subquery's dummy table is really something else.
Related
I'm using a PostgreSQL with a Go driver. Sometimes I need to query not existing fields, just to check - maybe something exists in a DB. Before querying I can't tell whether that field exists. Example:
where size=10 or length=10
By default I get an error column "length" does not exist, however, the size column could exist and I could get some results.
Is it possible to handle such cases to return what is possible?
EDIT:
Yes, I could get all the existing columns first. But the initial queries can be rather complex and not created by me directly, I can only modify them.
That means the query can be simple like the previous example and can be much more complex like this:
WHERE size=10 OR (length=10 AND n='example') OR (c BETWEEN 1 and 5 AND p='Mars')
If missing columns are length and c - does that mean I have to parse the SQL, split it by OR (or other operators), check every part of the query, then remove any part with missing columns - and in the end to generate a new SQL query?
Any easier way?
I would try to check within information schema first
"select column_name from INFORMATION_SCHEMA.COLUMNS where table_name ='table_name';"
And then based on result do query
Why don't you get a list of columns that are in the table first? Like this
select column_name
from information_schema.columns
where table_name = 'table_name' and (column_name = 'size' or column_name = 'length');
The result will be the columns that exist.
There is no way to do what you want, except for constructing an SQL string from the list of available columns, which can be got by querying information_schema.columns.
SQL statements are parsed before they are executed, and there is no conditional compilation or no short-circuiting, so you get an error if a non-existing column is referenced.
Does PostgreSQL support computed / calculated columns, like MS SQL Server? I can't find anything in the docs, but as this feature is included in many other DBMSs I thought I might be missing something.
Eg: http://msdn.microsoft.com/en-us/library/ms191250.aspx
Postgres 12 or newer
STORED generated columns are introduced with Postgres 12 - as defined in the SQL standard and implemented by some RDBMS including DB2, MySQL, and Oracle. Or the similar "computed columns" of SQL Server.
Trivial example:
CREATE TABLE tbl (
int1 int
, int2 int
, product bigint GENERATED ALWAYS AS (int1 * int2) STORED
);
fiddle
VIRTUAL generated columns may come with one of the next iterations. (Not in Postgres 15, yet).
Related:
Attribute notation for function call gives error
Postgres 11 or older
Up to Postgres 11 "generated columns" are not supported.
You can emulate VIRTUAL generated columns with a function using attribute notation (tbl.col) that looks and works much like a virtual generated column. That's a bit of a syntax oddity which exists in Postgres for historic reasons and happens to fit the case. This related answer has code examples:
Store common query as column?
The expression (looking like a column) is not included in a SELECT * FROM tbl, though. You always have to list it explicitly.
Can also be supported with a matching expression index - provided the function is IMMUTABLE. Like:
CREATE FUNCTION col(tbl) ... AS ... -- your computed expression here
CREATE INDEX ON tbl(col(tbl));
Alternatives
Alternatively, you can implement similar functionality with a VIEW, optionally coupled with expression indexes. Then SELECT * can include the generated column.
"Persisted" (STORED) computed columns can be implemented with triggers in a functionally equivalent way.
Materialized views are a related concept, implemented since Postgres 9.3.
In earlier versions one can manage MVs manually.
YES you can!! The solution should be easy, safe, and performant...
I'm new to postgresql, but it seems you can create computed columns by using an expression index, paired with a view (the view is optional, but makes makes life a bit easier).
Suppose my computation is md5(some_string_field), then I create the index as:
CREATE INDEX some_string_field_md5_index ON some_table(MD5(some_string_field));
Now, any queries that act on MD5(some_string_field) will use the index rather than computing it from scratch. For example:
SELECT MAX(some_field) FROM some_table GROUP BY MD5(some_string_field);
You can check this with explain.
However at this point you are relying on users of the table knowing exactly how to construct the column. To make life easier, you can create a VIEW onto an augmented version of the original table, adding in the computed value as a new column:
CREATE VIEW some_table_augmented AS
SELECT *, MD5(some_string_field) as some_string_field_md5 from some_table;
Now any queries using some_table_augmented will be able to use some_string_field_md5 without worrying about how it works..they just get good performance. The view doesn't copy any data from the original table, so it is good memory-wise as well as performance-wise. Note however that you can't update/insert into a view, only into the source table, but if you really want, I believe you can redirect inserts and updates to the source table using rules (I could be wrong on that last point as I've never tried it myself).
Edit: it seems if the query involves competing indices, the planner engine may sometimes not use the expression-index at all. The choice seems to be data dependant.
One way to do this is with a trigger!
CREATE TABLE computed(
one SERIAL,
two INT NOT NULL
);
CREATE OR REPLACE FUNCTION computed_two_trg()
RETURNS trigger
LANGUAGE plpgsql
SECURITY DEFINER
AS $BODY$
BEGIN
NEW.two = NEW.one * 2;
RETURN NEW;
END
$BODY$;
CREATE TRIGGER computed_500
BEFORE INSERT OR UPDATE
ON computed
FOR EACH ROW
EXECUTE PROCEDURE computed_two_trg();
The trigger is fired before the row is updated or inserted. It changes the field that we want to compute of NEW record and then it returns that record.
PostgreSQL 12 supports generated columns:
PostgreSQL 12 Beta 1 Released!
Generated Columns
PostgreSQL 12 allows the creation of generated columns that compute their values with an expression using the contents of other columns. This feature provides stored generated columns, which are computed on inserts and updates and are saved on disk. Virtual generated columns, which are computed only when a column is read as part of a query, are not implemented yet.
Generated Columns
A generated column is a special column that is always computed from other columns. Thus, it is for columns what a view is for tables.
CREATE TABLE people (
...,
height_cm numeric,
height_in numeric GENERATED ALWAYS AS (height_cm * 2.54) STORED
);
db<>fiddle demo
Well, not sure if this is what You mean but Posgres normally support "dummy" ETL syntax.
I created one empty column in table and then needed to fill it by calculated records depending on values in row.
UPDATE table01
SET column03 = column01*column02; /*e.g. for multiplication of 2 values*/
It is so dummy I suspect it is not what You are looking for.
Obviously it is not dynamic, you run it once. But no obstacle to get it into trigger.
Example on creating an empty virtual column
,(SELECT *
From (values (''))
A("virtual_col"))
Example on creating two virtual columns with values
SELECT *
From (values (45,'Completed')
, (1,'In Progress')
, (1,'Waiting')
, (1,'Loading')
) A("Count","Status")
order by "Count" desc
I have a code that works and use the term calculated, I'm not on postgresSQL pure tho we run on PADB
here is how it's used
create table some_table as
select category,
txn_type,
indiv_id,
accum_trip_flag,
max(first_true_origin) as true_origin,
max(first_true_dest ) as true_destination,
max(id) as id,
count(id) as tkts_cnt,
(case when calculated tkts_cnt=1 then 1 else 0 end) as one_way
from some_rando_table
group by 1,2,3,4 ;
A lightweight solution with Check constraint:
CREATE TABLE example (
discriminator INTEGER DEFAULT 0 NOT NULL CHECK (discriminator = 0)
);
Does PostgreSQL support computed / calculated columns, like MS SQL Server? I can't find anything in the docs, but as this feature is included in many other DBMSs I thought I might be missing something.
Eg: http://msdn.microsoft.com/en-us/library/ms191250.aspx
Postgres 12 or newer
STORED generated columns are introduced with Postgres 12 - as defined in the SQL standard and implemented by some RDBMS including DB2, MySQL, and Oracle. Or the similar "computed columns" of SQL Server.
Trivial example:
CREATE TABLE tbl (
int1 int
, int2 int
, product bigint GENERATED ALWAYS AS (int1 * int2) STORED
);
fiddle
VIRTUAL generated columns may come with one of the next iterations. (Not in Postgres 15, yet).
Related:
Attribute notation for function call gives error
Postgres 11 or older
Up to Postgres 11 "generated columns" are not supported.
You can emulate VIRTUAL generated columns with a function using attribute notation (tbl.col) that looks and works much like a virtual generated column. That's a bit of a syntax oddity which exists in Postgres for historic reasons and happens to fit the case. This related answer has code examples:
Store common query as column?
The expression (looking like a column) is not included in a SELECT * FROM tbl, though. You always have to list it explicitly.
Can also be supported with a matching expression index - provided the function is IMMUTABLE. Like:
CREATE FUNCTION col(tbl) ... AS ... -- your computed expression here
CREATE INDEX ON tbl(col(tbl));
Alternatives
Alternatively, you can implement similar functionality with a VIEW, optionally coupled with expression indexes. Then SELECT * can include the generated column.
"Persisted" (STORED) computed columns can be implemented with triggers in a functionally equivalent way.
Materialized views are a related concept, implemented since Postgres 9.3.
In earlier versions one can manage MVs manually.
YES you can!! The solution should be easy, safe, and performant...
I'm new to postgresql, but it seems you can create computed columns by using an expression index, paired with a view (the view is optional, but makes makes life a bit easier).
Suppose my computation is md5(some_string_field), then I create the index as:
CREATE INDEX some_string_field_md5_index ON some_table(MD5(some_string_field));
Now, any queries that act on MD5(some_string_field) will use the index rather than computing it from scratch. For example:
SELECT MAX(some_field) FROM some_table GROUP BY MD5(some_string_field);
You can check this with explain.
However at this point you are relying on users of the table knowing exactly how to construct the column. To make life easier, you can create a VIEW onto an augmented version of the original table, adding in the computed value as a new column:
CREATE VIEW some_table_augmented AS
SELECT *, MD5(some_string_field) as some_string_field_md5 from some_table;
Now any queries using some_table_augmented will be able to use some_string_field_md5 without worrying about how it works..they just get good performance. The view doesn't copy any data from the original table, so it is good memory-wise as well as performance-wise. Note however that you can't update/insert into a view, only into the source table, but if you really want, I believe you can redirect inserts and updates to the source table using rules (I could be wrong on that last point as I've never tried it myself).
Edit: it seems if the query involves competing indices, the planner engine may sometimes not use the expression-index at all. The choice seems to be data dependant.
One way to do this is with a trigger!
CREATE TABLE computed(
one SERIAL,
two INT NOT NULL
);
CREATE OR REPLACE FUNCTION computed_two_trg()
RETURNS trigger
LANGUAGE plpgsql
SECURITY DEFINER
AS $BODY$
BEGIN
NEW.two = NEW.one * 2;
RETURN NEW;
END
$BODY$;
CREATE TRIGGER computed_500
BEFORE INSERT OR UPDATE
ON computed
FOR EACH ROW
EXECUTE PROCEDURE computed_two_trg();
The trigger is fired before the row is updated or inserted. It changes the field that we want to compute of NEW record and then it returns that record.
PostgreSQL 12 supports generated columns:
PostgreSQL 12 Beta 1 Released!
Generated Columns
PostgreSQL 12 allows the creation of generated columns that compute their values with an expression using the contents of other columns. This feature provides stored generated columns, which are computed on inserts and updates and are saved on disk. Virtual generated columns, which are computed only when a column is read as part of a query, are not implemented yet.
Generated Columns
A generated column is a special column that is always computed from other columns. Thus, it is for columns what a view is for tables.
CREATE TABLE people (
...,
height_cm numeric,
height_in numeric GENERATED ALWAYS AS (height_cm * 2.54) STORED
);
db<>fiddle demo
Well, not sure if this is what You mean but Posgres normally support "dummy" ETL syntax.
I created one empty column in table and then needed to fill it by calculated records depending on values in row.
UPDATE table01
SET column03 = column01*column02; /*e.g. for multiplication of 2 values*/
It is so dummy I suspect it is not what You are looking for.
Obviously it is not dynamic, you run it once. But no obstacle to get it into trigger.
Example on creating an empty virtual column
,(SELECT *
From (values (''))
A("virtual_col"))
Example on creating two virtual columns with values
SELECT *
From (values (45,'Completed')
, (1,'In Progress')
, (1,'Waiting')
, (1,'Loading')
) A("Count","Status")
order by "Count" desc
I have a code that works and use the term calculated, I'm not on postgresSQL pure tho we run on PADB
here is how it's used
create table some_table as
select category,
txn_type,
indiv_id,
accum_trip_flag,
max(first_true_origin) as true_origin,
max(first_true_dest ) as true_destination,
max(id) as id,
count(id) as tkts_cnt,
(case when calculated tkts_cnt=1 then 1 else 0 end) as one_way
from some_rando_table
group by 1,2,3,4 ;
A lightweight solution with Check constraint:
CREATE TABLE example (
discriminator INTEGER DEFAULT 0 NOT NULL CHECK (discriminator = 0)
);
I have a table BigTable and a table LittleTable. I want to move a copy of some records from BigTable into LittleTable and then (for these records) set BigTable.ExportedFlag to T (indicating that a copy of the record has been moved to little table).
Is there any way to do this in one statement?
I know I can do a transaction to:
moves the records from big table based on a where clause
updates big table setting exported to T based on this same where clause.
I've also looked into a MERGE statement, which does not seem quite right, because I don't want to change values in little table, just move records to little table.
I've looked into an OUTPUT clause after the update statement but can't find a useful example. I don't understand why Pinal Dave is using Inserted.ID, Inserted.TEXTVal, Deleted.ID, Deleted.TEXTVal instead of Updated.TextVal. Is the update considered an insertion or deletion?
I found this post TSQL: UPDATE with INSERT INTO SELECT FROM saying "AFAIK, you cannot update two different tables with a single sql statement."
Is there a clean single statement to do this? I am looking for a correct, maintainable SQL statement. Do I have to wrap two statements in a single transaction?
You can use the OUTPUT clause as long as LittleTable meets the requirements to be the target of an OUTPUT ... INTO
UPDATE BigTable
SET ExportedFlag = 'T'
OUTPUT inserted.Col1, inserted.Col2 INTO LittleTable(Col1,Col2)
WHERE <some_criteria>
It makes no difference if you use INSERTED or DELETED. The only column it will be different for is the one you are updating (deleted.ExportedFlag has the before value and inserted.ExportedFlag will be T)
Trying to be lazy when looking at an example
SELECT realestate.address, realestate.parcel, s.sale_year, s.sale_amount,
FROM realestate INNER JOIN
dblink('dbname=somedb port=5432 host=someserver
user=someuser password=somepwd',
'SELECT parcel_id, sale_year,
sale_amount FROM parcel_sales')
AS s(parcel_id char(10),sale_year int, sale_amount int)
Is there a way of getting the AS section filled in from the table?
I'm copying data from tables of the same name and structure on different servers.
If I can get the structure to copy from the existing table, it will save me a lot of time
Thanks
Bruce
The answer is: No. See the doc:
Since dblink can be used with any query, it is declared to return record, rather than specifying any particular set of columns. This means that you must specify the expected set of columns in the calling query — otherwise PostgreSQL would not know what to expect.
http://www.postgresql.org/docs/9.1/static/contrib-dblink-function.html
Edit: by the way, for a table or a view, you can get the fields name and type in a first query:
select column_name
from information_schema.columns
where table_name = 'your_table_or_view';
You could then use it to fill the fields declaration.
Alexis