select query performance question

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Hi,
subject is the following type of query needed in a function to select data:

SELECT ' 13.04.2009 12:00:00 ' AS zeit,
'M' AS ganglinientyp, m.zs_nr AS zs, j_ges, de_mw_abh_j_lkw(mw_abh) AS j_lkw, de_mw_abh_v_pkw(mw_abh) AS v_pkw, de_mw_abh_v_lkw(mw_abh) AS v_lkw, de_mw_abh_p_bel(mw_abh) AS p_bel FROM messungen_v_dat_2009_04_13 m INNER JOIN de_mw w ON w.nr = m.mw_nr WHERE m.ganglinientyp = 'M' AND ' 890 ' = m.minute_tag; explain analyse brings up Nested Loop (cost=0.00..66344.47 rows=4750 width=10) (actual time=134.160..19574.228 rows=4148 loops=1) -> Index Scan using messungen_v_dat_2009_04_13_gtyp_minute_tag_idx on messungen_v_dat_2009_04_13 m (cost=0.00..10749.14 rows=4750 width=8) (actual time=64.681..284.732 rows=4148 loops=1) Index Cond: ((ganglinientyp = 'M'::bpchar) AND (891::smallint = minute_tag)) -> Index Scan using de_nw_nr_idx on de_mw w (cost=0.00..10.69 rows=1 width=10) (actual time=4.545..4.549 rows=1 loops=4148)
        Index Cond: (w.nr = m.mw_nr)
Total runtime: 19590.078 ms

Seems quite slow to me.
Is this query plan near to optimal or are their any serious flaws?

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