Query that took a lot of time in Postgresql when not using trim in order by

I have a query that produce a different query plan if I put a trim in one
of the columns in the order by.

When i put the trim in any column it use hashaggregate and took 3 seconds
against 30 when not.

Is wear because the columns is clean not need to be trimmed, I have check
that.

The problem is that I can't change the query because is generate by the
mondrian.

I do research and found in postgres list that I need to crank work_mem up
high but don't work for me.

My postgresql.conf

# Add settings for extensions here

default_statistics_target = 50 # pgtune wizard 2014-06-04

maintenance_work_mem = 1GB # pgtune wizard 2014-06-04

constraint_exclusion = on # pgtune wizard 2014-06-04

checkpoint_completion_target = 0.9 # pgtune wizard 2014-06-04

effective_cache_size = 44GB # pgtune wizard 2014-06-04

work_mem = 1536MB # pgtune wizard 2014-06-04

#work_mem = 16GB # I have try this but don't work

wal_buffers = 32MB # pgtune wizard 2014-06-04

checkpoint_segments = 16 # pgtune wizard 2014-06-04

shared_buffers = 15GB # pgtune wizard 2014-06-04

max_connections = 20 # pgtune wizard 2014-06-04

___________________________________________________

Query with trim

SELECT "dim_cliente"."tipocliente" AS "c0",

"dim_cliente"."a1_ibge" AS "c1",

"dim_cliente"."a1_cod" AS "c2",

"dim_cliente"."a1_nome" AS "c3",

"dim_vendedor"."a3_nome" AS "c4"

FROM "public"."dim_cliente" AS "dim_cliente",

"public"."fato_ventas_productos" AS "fato_ventas_productos",

"public"."dim_vendedor" AS "dim_vendedor"

WHERE "fato_ventas_productos"."key_cliente" = "dim_cliente"."key_cliente"

AND "fato_ventas_productos"."key_vendedor" =
"dim_vendedor"."key_vendedor"

GROUP

BY "dim_cliente"."tipocliente" ,

"dim_cliente"."a1_ibge",

"dim_cliente"."a1_cod",

"dim_cliente"."a1_nome",

"dim_vendedor"."a3_nome"

ORDER

BY trim("dim_cliente"."tipocliente") ASC NULLS LAST,

"dim_cliente"."a1_ibge" ASC NULLS LAST, -- the same result if I put
the trim here

"dim_cliente"."a1_cod" ASC NULLS LAST, -- or here

"dim_cliente"."a1_nome" ASC NULLS LAST; -- or here

-- this query took 3845.895 ms

___________________________________________________

Query Plan when using trim

QUERY PLAN

---------------------------------------------------------------------------------------------------------------------------------------------------------------------

Sort (cost=193101.41..195369.80 rows=907357 width=129) (actual
time=3828.176..3831.261 rows=43615 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, dim_vendedor.a3_nome,
(btrim((dim_cliente.tipocliente)::text))

Sort Key: (btrim((dim_cliente.tipocliente)::text)), dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome

Sort Method: quicksort Memory: 13121kB

-> HashAggregate (cost=91970.52..103312.49 rows=907357 width=129)
(actual time=2462.690..2496.729 rows=43615 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, dim_vendedor.a3_nome,
btrim((dim_cliente.tipocliente)::text)

-> Hash Join (cost=856.30..80628.56 rows=907357 width=129)
(actual time=29.524..1533.880 rows=907357 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, dim_vendedor.a3_nome

Hash Cond: (fato_ventas_productos.key_vendedor =
dim_vendedor.key_vendedor)

-> Hash Join (cost=830.02..68126.13 rows=907357 width=86)
(actual time=28.746..1183.691 rows=907357 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, fato_ventas_productos.key_vendedor

Hash Cond: (fato_ventas_productos.key_cliente =
dim_cliente.key_cliente)

-> Seq Scan on public.fato_ventas_productos
(cost=0.00..46880.57 rows=907357 width=16) (actual time=0.004..699.779
rows=907357 loops=1)

Output: fato_ventas_productos.key_cliente,
fato_ventas_productos.key_vendedor

-> Hash (cost=618.90..618.90 rows=16890 width=86)
(actual time=28.699..28.699 rows=16890 loops=1)

Output: dim_cliente.tipocliente,
dim_cliente.a1_ibge, dim_cliente.a1_cod, dim_cliente.a1_nome,
dim_cliente.key_cliente

Buckets: 2048 Batches: 1 Memory Usage: 1980kB

-> Seq Scan on public.dim_cliente
(cost=0.00..618.90 rows=16890 width=86) (actual time=0.008..16.537
rows=16890 loops=1)

Output: dim_cliente.tipocliente,
dim_cliente.a1_ibge, dim_cliente.a1_cod, dim_cliente.a1_nome,
dim_cliente.key_cliente

-> Hash (cost=18.90..18.90 rows=590 width=59) (actual
time=0.747..0.747 rows=590 loops=1)

Output: dim_vendedor.a3_nome, dim_vendedor.key_vendedor

Buckets: 1024 Batches: 1 Memory Usage: 56kB

-> Seq Scan on public.dim_vendedor (cost=0.00..18.90
rows=590 width=59) (actual time=0.026..0.423 rows=590 loops=1)

Output: dim_vendedor.a3_nome,
dim_vendedor.key_vendedor

Total runtime: 3845.895 ms

(25 filas)

___________________________________________________

Query without trim

SELECT "dim_cliente"."tipocliente" AS "c0",

"dim_cliente"."a1_ibge" AS "c1",

"dim_cliente"."a1_cod" AS "c2",

"dim_cliente"."a1_nome" AS "c3",

"dim_vendedor"."a3_nome" AS "c4"

FROM "public"."dim_cliente" AS "dim_cliente",

"public"."fato_ventas_productos" AS "fato_ventas_productos",

"public"."dim_vendedor" AS "dim_vendedor"

WHERE "fato_ventas_productos"."key_cliente" = "dim_cliente"."key_cliente"

AND "fato_ventas_productos"."key_vendedor" =
"dim_vendedor"."key_vendedor"

GROUP

BY "dim_cliente"."tipocliente" ,

"dim_cliente"."a1_ibge",

"dim_cliente"."a1_cod",

"dim_cliente"."a1_nome",

"dim_vendedor"."a3_nome"

ORDER

BY "dim_cliente"."tipocliente" ASC NULLS LAST,

"dim_cliente"."a1_ibge" ASC NULLS LAST,

"dim_cliente"."a1_cod" ASC NULLS LAST,

"dim_cliente"."a1_nome" ASC NULLS LAST;

-- this query took 37249.268 ms

___________________________________________________

Query Plan when not using trim

QUERY PLAN

---------------------------------------------------------------------------------------------------------------------------------------------------------------

Group (cost=170417.48..184027.84 rows=907357 width=129) (actual
time=36649.329..37235.158 rows=43615 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, dim_vendedor.a3_nome

-> Sort (cost=170417.48..172685.88 rows=907357 width=129) (actual
time=36649.315..36786.760 rows=907357 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, dim_vendedor.a3_nome

Sort Key: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, dim_vendedor.a3_nome

Sort Method: quicksort Memory: 265592kB

-> Hash Join (cost=856.30..80628.56 rows=907357 width=129)
(actual time=26.719..1593.693 rows=907357 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, dim_vendedor.a3_nome

Hash Cond: (fato_ventas_productos.key_vendedor =
dim_vendedor.key_vendedor)

-> Hash Join (cost=830.02..68126.13 rows=907357 width=86)
(actual time=25.980..1203.775 rows=907357 loops=1)

Output: dim_cliente.tipocliente, dim_cliente.a1_ibge,
dim_cliente.a1_cod, dim_cliente.a1_nome, fato_ventas_productos.key_vendedor

Hash Cond: (fato_ventas_productos.key_cliente =
dim_cliente.key_cliente)

-> Seq Scan on public.fato_ventas_productos
(cost=0.00..46880.57 rows=907357 width=16) (actual time=0.004..680.283
rows=907357 loops=1)

Output: fato_ventas_productos.key_cliente,
fato_ventas_productos.key_vendedor

-> Hash (cost=618.90..618.90 rows=16890 width=86)
(actual time=25.931..25.931 rows=16890 loops=1)

Output: dim_cliente.tipocliente,
dim_cliente.a1_ibge, dim_cliente.a1_cod, dim_cliente.a1_nome,
dim_cliente.key_cliente

Buckets: 2048 Batches: 1 Memory Usage: 1980kB

-> Seq Scan on public.dim_cliente
(cost=0.00..618.90 rows=16890 width=86) (actual time=0.005..13.736
rows=16890 loops=1)

Output: dim_cliente.tipocliente,
dim_cliente.a1_ibge, dim_cliente.a1_cod, dim_cliente.a1_nome,
dim_cliente.key_cliente

-> Hash (cost=18.90..18.90 rows=590 width=59) (actual
time=0.715..0.715 rows=590 loops=1)

Output: dim_vendedor.a3_nome, dim_vendedor.key_vendedor

Buckets: 1024 Batches: 1 Memory Usage: 56kB

-> Seq Scan on public.dim_vendedor (cost=0.00..18.90
rows=590 width=59) (actual time=0.024..0.405 rows=590 loops=1)

Output: dim_vendedor.a3_nome,
dim_vendedor.key_vendedor

Total runtime: 37249.268 ms

(25 filas)

___________________________________________________

Is anything that I can do to solve this problem, is that a bug or a config
problem?

Here the link with a dump of the tables

https://drive.google.com/file/d/0Bwupj61i9BtWZ1NiVXltaWc0dnM/view?usp=sharing

I appreciate your help