Hello, I am in need of help with performance of case insensitive queries. I have searched the general and hackers archives for references to this problem and have found the information on how to build a lower case index. I have included output from 3 query plans that detail my performance problem. I show the section of the where clause that changes for the 3 queries. The 1st shows the case sensitive search that I have used on other db's that are not case sensitive. As you can see it executes very quickly on postgresql. The 2nd shows the original attempt at doing a case insensitive search before building the lower case index, by using the lower() function in the query. This caused the queries to become very slow. In the 3rd example I built a lower case index and it cut the query time in half, but the queries still run very long, near 2 minutes with approximately 1 million rows. (1) Build index on fieldvalue column. testdb=> create index fieldvalueindex_2 on documentindex(fieldvalue); [case sensitive search] testdb-> ((DocumentIndex_0.FieldNum = 2 AND documentindex_0.fieldvalue = 'BELL SOUTH') ) NOTICE: QUERY PLAN: Unique (cost=6.06 rows=13 width=62) -> Sort (cost=6.06 rows=13 width=62) -> Nested Loop (cost=6.06 rows=13 width=62) -> Nested Loop (cost=4.10 rows=1 width=46) -> Index Scan using fieldvalueindex_2 on documentindex documentindex_0 (cost=2.05 rows=) -> Index Scan using documents_pkey on documents (cost=2.05 rows=11432 width=42) -> Seq Scan on documentmaster (cost=1.96 rows=29 width=16) EXPLAIN (2). [case insensitive search with no lowercase index] testdb-> ((DocumentIndex_0.FieldNum = 2 AND lower(documentindex_0.fieldvalue) = 'bell south') ) NOTICE: QUERY PLAN: Unique (cost=7579.73 rows=13 width=62) -> Sort (cost=7579.73 rows=13 width=62) -> Nested Loop (cost=7579.73 rows=13 width=62) -> Nested Loop (cost=7577.77 rows=1 width=46) -> Seq Scan on documentindex documentindex_0 (cost=7575.72 rows=1 width=4) -> Index Scan using documents_pkey on documents (cost=2.05 rows=11432 width=42) -> Seq Scan on documentmaster (cost=1.96 rows=29 width=16) EXPLAIN (3). build lower case index. testdb=> create index fieldvalueindex on documentindex(lower(fieldvalue) text_ops); [case insensitive search with lowercase index] testdb-> ((DocumentIndex_0.FieldNum = 2 AND lower(DocumentIndex_0.FieldValue) = 'bell south') ) NOTICE: QUERY PLAN: Unique (cost=3820.81 rows=13 width=62) -> Sort (cost=3820.81 rows=13 width=62) -> Nested Loop (cost=3820.81 rows=13 width=62) -> Nested Loop (cost=3818.85 rows=1 width=46) -> Index Scan using fieldvalueindex on documentindex documentindex_0 (cost=3816.80 rows) -> Index Scan using documents_pkey on documents (cost=2.05 rows=11432 width=42) -> Seq Scan on documentmaster (cost=1.96 rows=29 width=16) EXPLAIN ************