I had a similar issue. I wanted to find strings that started as another string in the same table and field. My solution was to create a temp table that consisted of the id, the string and the first word of the string which I then indexed. The table had 30 000 records and the total processing time went down from 15-20 minutes to 15 seconds!
Applying that solution to your case, not knowing the nature of your data (I had names), I guess you can do something like this: - Get the length of the shortest string in table2.term. Lets say it's 3. - Create a tmptable of table1 Create temp tmptable1 as select term, lower(substr(term,1,3)) shortest from table1 - Create a tmptable of table2 Create temp tmptable2 as select term, lower(substr(term,1,3)) shortest from table2 - Index the shortest fields Create index idx_tmptable1_shortest on tmptable1(shortest) Create index idx_tmptable2_shortest on tmptable2(shortest) -Run this sql select count(a.rowid) from tmptable1 a inner join tmptable2 b on a.shortest=b.shortest where (lower(b.term) = lower(substr(a.term,1,length(b.term)))) RB Smissaert wrote: > > Have 2 tables with both one text field called term and need to run a SQL > like this, to count the records in table1 where the start of term in > table1 > equals a term in table2: > > select > count(a.rowid) > from table1 a inner join table2 b on > (lower(b.term) = lower(substr(a.term,1,length(b.term)))) > > term is indexed in both tables, but not surprisingly, this query runs very > slow, taking some 40 minutes. Table1 is large, maybe some 1 million rows > and > table2 is small, maybe some 30.000 rows. All rows in table2 are unique, > but > table1 has many duplicates. > > Any suggestions to speed this up? > I could also tackle this in code rather than in SQL. > > RBS > > > > > _______________________________________________ > sqlite-users mailing list > sqlite-users@sqlite.org > http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users > > -- View this message in context: http://www.nabble.com/Any-way-to-speed-up-this-SQL--tp25412299p25413614.html Sent from the SQLite mailing list archive at Nabble.com. _______________________________________________ sqlite-users mailing list sqlite-users@sqlite.org http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users
