I am using regexp_like function to search specific patterns on a column. But, I see this query is not taking the index created on this column instead going for full table scan. Is there any option to create function based index for regexp_like so that my query will use that index? Here, the pattern SV4889 is not constant expression but it will vary every time.
select * from test where regexp_like(id,'SV4889')
Yup. Regular expressions do not use indexes. What can you do?
Well, if you are just looking for equality, then use equality:
where id = 'SV4889'
This will use an index on (id).
If you are looking for a leading value, then use like:
where id like 'SV4889%'
This will use an index because the wildcard is at the end of the pattern.
If you are storing multiple values in the column, say 'SV4889,SV4890' then fix your data model. It is broken! You should have another table with one row per id.
Finally, if you really need more sophisticated full text capabilities, then look into Oracle's support for full text indexes. However, such capabilities are usually not needed on a column called id.
You can add a virtual column to your table to determine if the substring you're interested in exists in the field, then index the virtual column. For example:
ALTER TABLE TEST
ADD SV4889_FLAG CHAR(1)
GENERATED ALWAYS AS (CASE
WHEN REGEXP_LIKE(ID,'SV4889') THEN 'Y'
ELSE 'N'
END) VIRTUAL;
This adds a field named SV4889_FLAG to your table which will contain Y if the text SV4889 exists in the ID field, and N if it doesn't. Then you can create an index on the new field:
CREATE INDEX IDX_TEST_SV4889_FLAG
ON TEST (SV4889_FLAG);
So to determine if a row has 'SV4889' in it you can use a query such as:
SELECT *
FROM TEST
WHERE SV4889_FLAG = 'Y'
db<>fiddle here
Related
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)
);
Is doing something like the following possible in SQLite:
create INDEX idx on mytable (synopsis(20));
In other words, indexing by something less than the full text field? This is useful on long-text fields where I don't want to index everything into memory (the index itself could take up more space than the entire table).
You seem to be looking for an index on expression:
Use a CREATE INDEX statement to create a new index on one or more expressions just like you would to create an index on columns. The only difference is that expressions are listed as the elements to be indexed rather than column names.
Consider:
CREATE INDEX idx ON mytable(SUBSTR(synopsis, 1, 20));
Please note that, as explained in the documentation, for this index to be considered by the sqlite query planner, you need to use the exact same expression that was given when creating the index.
So this query would use the index:
SELECT * FROM mytable WHERE SUBSTR(synopsis, 1, 20) = 'a text with 20 chars';
While, typically, this would not:
SELECT * FROM mytable WHERE synopsis LIKE 'a text with 20 chars%';
Note: yes, 'a text with 20 chars' is 20 chars long...
I have a problem on indexing oracle
Following SQL query is given (means, it is automatically generated, I can't adapt it):
select * from t where f like 'AA.%.123456.%'
On column f, a unique index exists, but it is not beeing used by the oracle optimizer (it's doing a full table scan)
I think this because of the data
Data in column f allways begin with AA
Please note following data example:
AA.248117.123456.UAAA
AA.741447.123456.UAAA
AA.741449.123456.UAAA
AA.741450.123456.UAAA
AA.322812.123456.UAAA
AA.741363.123456.UZZZ
AA.741365.123456.UZZZ
AA.356110.123456.UZZZ
AA.356333.456789.UBBB
AA.256321.456789.UBBB
AA.333219.456789.UBBX
My question:
Is it possible to create an oracle index with a string-pattern?
Meaning a index as some kind of substring (but not using a function based index Substr(), as mentioned above, I can't change the query)
Index should look like this
'AA.<someNumberNotRelevant>.<indexedValue>.<someStringNotRelevant>'
Thanks
I have a table with column mapping which store record: "IV=>0J,IV=>0Q,IV=>2,V=>0H,V=>0K,VI=>0R,VI=>1,"
What is the sql to check whether or not a substring is in column mapping.
so, I would like this:
if I have "IV=>0J" would return true, because IV=>0J is exact in string "mapping"
if I have "IV=>01" would return false. And so on...
I try this:
SELECT * FROM table WHERE charindex('IV=>0J',mapping)
But when I have "IV=>0", it returns TRUE. But, it should return FALSE.
Thank You..
You can search with commas included. Just also add one at beginning and end of mapping:
SELECT * FROM table WHERE charindex(',IV=>0J,',',' + mapping + ',') <> 0
or
SELECT * FROM table WHERE ',' + mapping + ',' LIKE '%,IV=>OJ,%'
This should do the trick:
SELECT * FROM table
WHERE
mapping LIKE '%,IV=>0J,%'
OR mapping LIKE '%,IV=>0J'
OR mapping LIKE 'IV=>0J,%'
OR mapping = 'IV=>0J'
But you should really normalize the database - you are currently violating the principle of atomicity, and therefore the 1NF. Your current difficulties in querying and the future difficulties with performance that you are about to encounter all stem from this root problem...
While you can search by including a comma in the string, this is a bad design for several reasons.
You are unable to take advantage of indexing
You force a full scan of the table, which will lead to bad performance AND excessive blocking.
You have to make sure that there is always a leading or a trailing comma (depends on what you expect in your LIKE expression).
You are no longer able to edit a single entry, you'll have to replace the entire string each time you want to change even a single mapping.
You open yourself to a concurrency nightmare if more that one users try to update different mappings that just happen to be stored in the same column.
Your table isn't even in 1st normal form any more, which is why you have such difficulties
You should normalize your mapping column, by extracting the data to a different mapping table, with at least the From and To columns you require. You can then add these columns to an index an convert your query using only a single index seek.
You can also add the ID values of your source table to the Mappings table and the index. This will allow you to convert the lookup for a source row to a join between the two tables that takes advantage of indexing
charindex returns the position of the text, not Boolean.
to check if the text exists, compare to 0:
SELECT * FROM table WHERE charindex('IV=>0J',mapping) <> 0
I think you're missing something here, the Charindex function does not return TRUE or FALSE.
It returns the starting point of the substring inside master string, or if the substring is not present, then -1.
So you query should read,
SELECT * FROM table WHERE charindex('IV=>0J',mapping) > 0
I have a big table with names and surnames. People search this database via a Web interface. PHP code queries the table with LOWER(#name) = LOWER(name). In order to make the search faster, I want to make a derived column in the table named lower_name and always LOWER() the names before storing. But when it comes to send the results to web interface, I want to show the original ones. However, I don't want to change the table structure. Is there some kind of Index that automatically does the trick or an option to create an "invisible column" in SQL Server or something like that?
You can create a presisted computed column with an index on it:
ALTER TABLE YourTable ADD lower_name AS LOWER(name) PERSISTED
go
CREATE NONCLUSTERED INDEX IX_YourTable_lower_name
ON YourTable (lower_name)
go
You do not INSERT or UPDATE this column, the DB will do it for you and always keep it in sync with your "name" column.
If you don't want to use a computed column you could create a view, that has the LOWER(name) AS lower_name column in it and put an index on that column:
http://msdn.microsoft.com/en-us/library/cc917715.aspx
You have various options:
declare the column Name case-insensitive using the COLLATE clause
compare Name and #Name using the COLLATE clause
create a computed column LowerName AS LOWER(Name) PERSISTED and index this computed column
PHP code queries the table with
LOWER(#name) = LOWER(name)
Thanks in a world of pain. LOWER(name) triggers a table scan. This is not making it faster, it is - brutally - a beginner mistake that kills performance. You should never compare against a calculation of the table fields, unless you ahve the result in a precaculated index (as you can do in SQL Server 2008, for example).
What about
WHERE name LIKE #name
which should ignore case... plus an Index on the name field.