Create table as select statement (ETG) takes a long time.

Hi all

One of my procedure launched a table create as select statement each month.
Usually it ends in 20 minutes. for 6172063 records and 1 hour in 13699067.
But this time it never even takes to 38076 records.
When I checked everything he does is the CPU usage. No e/s.
I did a count (*) using the query, it has brought very good results.
BUT guard going on DEC.
I use Oracle 10.2.0.4.
temp_ip of the main table has 38076
table nhs_opcs_hier has 26769 records.
and table nhs_icd10_hier 49551 records.
-------------------
Query is:
create the table analytic_hes.temp_ip_hier as
Select b.*, (select nvl (max (hierarchy), 0))
of ref_hd.nhs_opcs_hier one
where fiscal_year = b.hd_spell_fiscal_year
and a.code in
(primary_PROCEDURE, secondary_procedure_1, secondary_procedure_2,
secondary_procedure_3, secondary_procedure_4, secondary_procedure_5,
secondary_procedure_6, secondary_procedure_7, secondary_procedure_8,
secondary_procedure_9, secondary_procedure_10,
secondary_procedure_11, secondary_procedure_12)) as hd_procedure_hierarchy,
(select nvl (max (hierarchy), 0) for ref_hd.nhs_icd10_hier one)
where fiscal_year = b.hd_spell_fiscal_year
and a.code in
(primary_diagnosis, secondary_diagnosis_1,
secondary_diagnosis_2, secondary_diagnosis_3,
secondary_diagnosis_4, secondary_diagnosis_5,
secondary_diagnosis_6, secondary_diagnosis_7,
secondary_diagnosis_8, secondary_diagnosis_9,
secondary_diagnosis_10, secondary_diagnosis_11,
secondary_diagnosis_12, secondary_diagnosis_13,
secondary_diagnosis_14)) as hd_diagnosis_hierarchy
of analytic_hes.temp_ip b
-----------------

Any help would be greatly appreciated

Hello

It is a bit of a wild card, I think because it will require 14 scans to fill the table temp_ip to unpivot codes diagnostic and procedure, so this lilkely things are moving slower than the original. However, as it is a temporary table, I guess you could have some control over its structure, or at least be able to dismiss it and try something else. If you are able to change the structure of this table, you could make the application much simpler and probably much faster. I think that you need a list of codes of procedure for the year and a list of diagnosis for fiscal codes. I do this through the large list of UNION all THE INSTRUCTIONS, but you can have a more efficient way to do according to the base tables you are people temp_ip of. In any case, it's here (as far as I can tell this will do the same job)

WITH codes AS
(   SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        primary_PROCEDURE       procedure_code,
        primary_diagnosis       diagnosis_code,
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_1    procedure_code,
        secondary_diagnosis_1    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_2    procedure_code ,
        secondary_diagnosis_2    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_3    procedure_code,
        secondary_diagnosis_3    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_4    procedure_code,
        secondary_diagnosis_4    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_5    procedure_code,
        secondary_diagnosis_5    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_6    procedure_code,
        secondary_diagnosis_6    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_7    procedure_code,
        secondary_diagnosis_7    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_8    procedure_code,
        secondary_diagnosis_8    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_9    procedure_code,
        secondary_diagnosis_9    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_10  procedure_code,
        secondary_diagnosis_10    diagnosis_code
    FROM
        temp_ip
    UNION ALL
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_11  procedure_code,
        secondary_diagnosis_11    diagnosis_code
    FROM
        temp_ip
    SELECT
        bd.primary_key_column_s,
        hd_spell_fiscal_year,
        secondary_procedure_12  procedure_code,
        secondary_diagnosis_12    diagnosis_code
    FROM
        temp_ip
), hd_procedure_hierarchy AS
(   SELECT
        NVL (MAX (a.hierarchy), 0) hd_procedure_hierarchy,
        a.fiscal_year
    FROM
        ref_hd.nhs_opcs_hier a,
        codes pc
    WHERE
        a.fiscal_year = pc.hd_spell_fiscal_year
    AND
        a.code = pc.procedure_code
    GROUP BY
        a.fiscal_year
),hd_diagnosis_hierarchy AS
(   SELECT
        NVL (MAX (a.hierarchy), 0) hd_diagnosis_hierarchy,
        a.fiscal_year
    FROM
        ref_hd.nhs_icd10_hier a,
        codes pc
    WHERE
        a.fiscal_year = pc.hd_spell_fiscal_year
    AND
        a.code = pc.diagnosis_code
    GROUP BY
        a.fiscal_year
)
SELECT b.*, a.hd_procedure_hierarchy, c.hd_diagnosis_hierarchy
  FROM analytic_hes.temp_ip b,
       LEFT OUTER JOIN hd_procedure_hierarchy a
          ON (a.fiscal_year = b.hd_spell_fiscal_year)
       LEFT OUTER JOIN hd_diagnosis_hierarchy c
          ON (c.fiscal_year = b.hd_spell_fiscal_year)

HTH

David

Tags: Database

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