Reputation: 4434
I would like to query an Oracle DB table for the number of rows containing each distinct value in a CLOB column.
This returns all rows containing a value:
select * from mytable where dbms_lob.instr(mycol,'value') > 0;
Using DBMS_LOB, this returns the number of rows containing that value:
select count(*) from mytable where dbms_lob.instr(mycol,'value') > 0;
But is it possible to query for the number of times (rows in which) each distinct value appears?
Upvotes: 1
Views: 2032
Reputation: 4799
Standard Oracle functions do not support distinction of CLOB values. But, if you have access to DBMS_CRYPTO.HASH
function, you can compare CLOB hashes instead, and thus, get the desired output:
select myCol, h.num from
myTable t join
(select min(rowid) rid, count(rowid) num
from myTable
where dbms_lob.instr(mycol,'value') > 0
group by DBMS_CRYPTO.HASH(myCol, 3)) h
on t.rowid = h.rid;
Also, note, that there's a very little possibility of hash collision. But if that's ok with you, you can use this approach.
Upvotes: 2
Reputation: 191415
If your CLOB values are more than 4000 bytes (and if not, why are they CLOBs?) then it's not perfect - collisions are possible, if unlikely - but you could hash the CLOB values.
If you want to count the number of distinct values:
select count(distinct dbms_crypto.hash(src=>mycol, typ=>2))
from mytable
where dbms_lob.instr(mycol,'value') > 0;
If you want to count how many times each distinct value appears:
select mycol, cnt
from (
select mycol,
count(*) over (partition by dbms_crypto.hash(src=>mycol, typ=>2)) as cnt,
row_number() over (partition by dbms_crypto.hash(src=>mycol, typ=>2) order by null) as rn
from mytable
where dbms_lob.instr(mycol,'value') > 0
)
where rn = 1;
Both are likely to be fairly expensive and slow with a lot of data.
(typ=>2
gives the numeric value for dbms_crypto.hash_md5
, as you can't refer to the package constant in a SQL call, at least up to 12cR1...)
Rather more crudely, but possibly significantly quicker, you could base the count on the just the first 4000 characters - which may or may not be plausible for your actual data:
select count(distinct dbms_lob.substr(mycol, 4000, 1))
from mytable
where dbms_lob.instr(mycol,'value') > 0;
select dbms_lob.substr(mycol, 4000, 1), count(*)
from mytable
where dbms_lob.instr(mycol,'value') > 0
group by dbms_lob.substr(mycol, 4000, 1);
Upvotes: 2
Reputation: 142968
Depending on what that column really contains, see whether TO_CHAR
helps.
SQL> create table mytable (mycol clob);
Table created.
SQL> insert into mytable
2 select 'Query to count distinct values' from dual union all
3 select 'I have no idea which values are popular' from dual;
2 rows created.
SQL> select count(*), to_char(mycol) toc
2 from mytable
3 where dbms_lob.instr(mycol,'value') > 0
4 group by to_char(mycol);
COUNT(*) TOC
---------- ----------------------------------------
1 Query to count distinct values
1 I have no idea which values are popular
SQL>
Upvotes: 2