Monday, June 3, 2024
HomeProgrammingMethods to implement FILTER semantics with Oracle JSON combination capabilities

Methods to implement FILTER semantics with Oracle JSON combination capabilities


[*]

A cool customary SQL:2003 function is the combination FILTER clause, which is supported natively by not less than these RDBMS:

  • ClickHouse
  • CockroachDB
  • DuckDB
  • Firebird
  • H2
  • HSQLDB
  • PostgreSQL
  • SQLite
  • Trino
  • YugabyteDB

The next combination perform computes the variety of rows per group which satifsy the FILTER clause:

SELECT
  COUNT(*) FILTER (WHERE BOOK.TITLE LIKE 'A%'),
  COUNT(*) FILTER (WHERE BOOK.TITLE LIKE 'B%'),
  ...
FROM BOOK

That is helpful for pivot fashion queries, the place a number of combination values are computed in a single go. For most simple sorts of combination perform, it may be emulated just by utilizing CASE expressions, as a result of customary combination capabilities ignore NULL values when aggregating. The next is equal to the above, in all RDBMS:

SELECT
  COUNT(CASE WHEN BOOK.TITLE LIKE 'A%' THEN 1 END),
  COUNT(CASE WHEN BOOK.TITLE LIKE 'B%' THEN 1 END),
  ...
FROM BOOK

What if we’re aggregating JSON?

Issues are a bit totally different when aggregating JSON. Have a look at the next instance, the place we don’t need to rely the books, however record them in a JSON array, or object:

SELECT
  JSON_ARRAYAGG(BOOK.TITLE)
    FILTER (WHERE BOOK.LANGUAGE_ID = 1),
  JSON_OBJECTAGG('id-' || BOOK.ID, BOOK.TITLE)
    FILTER (WHERE BOOK.LANGUAGE_ID = 2),
  ...
FROM BOOK

Issues are totally different with these assortment combination capabilities, as a result of NULL values are literally fascinating there, so we need to record them within the ensuing JSON doc. Assuming there are books with a NULL title, we would get:

|JSON_ARRAYAGG                |JSON_OBJECTAGG                      |
|-----------------------------|------------------------------------|
|["1984", "Animal Farm", null]|{ "id-4" : "Brida", "id-17" : null }|

This makes emulating the FILTER clause (e.g. on Oracle) a lot more durable, as a result of we can not simply use ABSENT ON NULL like this:

SELECT
  JSON_ARRAYAGG(
    CASE WHEN T_BOOK.LANGUAGE_ID = 1 THEN T_BOOK.TITLE END 
    ABSENT ON NULL
  ),
  JSON_OBJECTAGG(
    'id-' || T_BOOK.ID, 
    CASE WHEN T_BOOK.LANGUAGE_ID = 2 THEN T_BOOK.TITLE END
    ABSENT ON NULL
  )
FROM T_BOOK;

As a result of now, the reliable null titled books are lacking and we’re getting this as a substitute:

|JSON_ARRAYAGG         |JSON_OBJECTAGG  |
|----------------------|----------------|
|["1984","Animal Farm"]|{"id-4":"Brida"}|

We can not use NULL ON NULL both, as a result of that may simply flip the FILTER semantics right into a mapping semantics, and produce too many values:

|JSON_ARRAYAGG                        |JSON_OBJECTAGG                                                   |
|-------------------------------------|-----------------------------------------------------------------|
|["1984","Animal Farm",null,null,null]|{"id-1":null,"id-4":"Brida","id-3":null,"id-2":null,"id-17":null}|

E.g. whereas id-3 and id-2 values are NULL as a result of the FILTER emulating CASE expression maps them to NULL, the id-17 worth actually has a NULL title.

Workaround: Wrap information in an array

As a workaround, we will:

  • Wrap reliable information into an array
  • Apply ABSENT ON NULL to take away rows as a result of FILTER emulation
  • Unwrap information once more from the array

For the unwrapping, we’re going to be utilizing JSON_TRANSFORM:

SELECT
  JSON_TRANSFORM(
    JSON_ARRAYAGG(
      CASE 
        WHEN T_BOOK.LANGUAGE_ID = 1 

        -- Wrap reliable information into an array, together with nulls
        THEN JSON_ARRAY(T_BOOK.TITLE NULL ON NULL)
      END 

      -- Take away NULLs as a result of FILTER emulation
      ABSENT ON NULL
    ),

    -- Unwrap information achieve from the array
    NESTED PATH '$[*]' (REPLACE '@' = PATH '@[0]')
  ),

  JSON_TRANSFORM(
    JSON_OBJECTAGG(
      'id-' || T_BOOK.ID, 
      CASE 
        WHEN T_BOOK.LANGUAGE_ID = 2 

        -- Wrap reliable information into an array, together with nulls
        THEN JSON_ARRAY(T_BOOK.TITLE NULL ON NULL)
      END

      -- Take away NULLs as a result of FILTER emulation
      ABSENT ON NULL
    ),

    -- Unwrap information achieve from the array
    NESTED PATH '$.*' (REPLACE '@' = PATH '@[0]')
  )
FROM T_BOOK;

jOOQ help

jOOQ 3.20 will implement the above emulations for:

This manner, you possibly can proceed to transparently use FILTER on any combination perform, additionally in Oracle.

[*]

RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

- Advertisment -
Google search engine

Most Popular

Recent Comments