Reject the records after Validation

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• Change in the merger of insert and create a procedure for updating the records after

  Hello
  
  I have a table that contains about 50 M lines of partition, and every day I have an application that performs a merge to insert records statement about 100 k per day and it's 300 M updates a day.
  
  Because I both update and insert the application performs a merge.
  I need to make at least 500 M, updated day by day, and for this reason this solution doesn't have enough performance for what I'm asking.
  
  I think another solution that I will try to implement now, and I just posted this in an attempt to get help on the option that I may have to do.
  
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  It is currently my table definition:

  CREATE TABLE MY_TEST_TABLE
      (KEY1                           VARCHAR2(50 BYTE) ,
      KEY2                         VARCHAR2(50 BYTE) NOT NULL,
      KEY3                           VARCHAR2(50 BYTE) ,
      last_record_date                    VARCHAR2(50 BYTE) NOT NULL)
    PCTFREE     10
    INITRANS    1
    MAXTRANS    255
     STORAGE   (
      BUFFER_POOL DEFAULT
    )
    NOCACHE
    MONITORING
    ENABLE ROW MOVEMENT
    PARTITION BY RANGE (last_record_date)
    (
    PARTITION MY_TEST_TABLE_201112 VALUES LESS THAN ('20120101')
    PCTFREE     10
    INITRANS    1
    MAXTRANS    255
    NOLOGGING,
    PARTITION MY_TEST_TABLE_201201 VALUES LESS THAN ('20120201')
    PCTFREE     10
    INITRANS    1
    MAXTRANS    255
    NOLOGGING,
    PARTITION MY_TEST_TABLE_201202 VALUES LESS THAN ('20120301')
    PCTFREE     10
    INITRANS    1
    MAXTRANS    255
    NOLOGGING,
    PARTITION def VALUES LESS THAN (MAXVALUE)
    PCTFREE     10
    INITRANS    1
    MAXTRANS    255
    NOLOGGING
    )
    NOPARALLEL
  /
  
  
  
  -- Constraints for MY_TEST_TABLE
  
  ALTER TABLE MY_TEST_TABLE
  ADD CHECK ("KEY1" IS NOT NULL)
  /
  
  ALTER TABLE MY_TEST_TABLE
  ADD CHECK ("KEY2" IS NOT NULL)
  /
  
  ALTER TABLE MY_TEST_TABLE
  ADD CHECK ("KEY3" IS NOT NULL)
  /
  ALTER TABLE MY_TEST_TABLE
  ADD CONSTRAINT pk_MY_TEST_TABLE PRIMARY KEY (KEY1, KEY2, KEY3)
  USING INDEX
    PCTFREE     10
    INITRANS    2
    MAXTRANS    255
  /

  Thank you
  Ricardo Tomas

  naoseionome wrote:
  Hello

  My version is:
  Oracle Database 11 g Enterprise Edition Release 11.2.0.2.0 - 64 bit Production

  It's the DOF I used to create the database.

  The merger is common during every day for about 10 M records.

  There are several methods to do the update, but they do sequencially to avoid deadlocks (because I can't control the source and each process can update the same keys.

  The update uses "KEY1, KEY2, KEY3" to update the value 'LAST_RECORD_DATE' have impact by being date or varchar2?

  I'm still waiting to receive permissions in order to follow up the matter, but in the meantime, in that I am trying to implement this work around in order to accelerate a development in the case where it would be necessary! Comments only I have at the moment, it is that he is not able to process the total amount of records timely (order book is generated).

  Thank you
  Ricardo

  Well, the first thing we do is to change the type of data type varchar to a date. The main impact is that a date is not a string, it's a date. If you are adding data processes in different date formats (which is possible when you use a character to store information) you're going to be very sad (good luck converting back an effective date).

  An example of how this can happen easily.

  ME_TUBBZ?select to_char(sysdate) from dual;
  
  TO_CHAR(SYSDATE)
  -----------------------------
  12-jan-2012 10 55:33
  
  1 row selected.
  
  Elapsed: 00:00:00.01
  ME_TUBBZ?alter session set nls_date_format = 'yyyy-mon-dd';
  
  Session altered.
  
  Elapsed: 00:00:00.01
  ME_TUBBZ?select to_char(sysdate) from dual;
  
  TO_CHAR(SYSDATE)
  --------------------
  2012-jan-12
  
  1 row selected.
  
  Elapsed: 00:00:00.00
  

  Assuming that the client passes the column as an Oracle DATE will make an (implicit) conversion to store the data as a string, which will be based on the current settings of the NLS for the session. This allows also for someone to completely non-jour the information in the column (super bad). It's just really bad form to use strings to store dates, numbers, anything that is not naturally a string.

  Based on the description of your problem, I can't imagine how your partitioning scheme performs one action in another that require more work in order to process the updates (which are most of your needs). Partitioning does not equate to increase performance. It is a tool that, like every tool has its place, but I do not think that this is justified for what you do (certainly not how you currently use it anyway).

  I say no partitioning can not be useful for you, but I don't think that on the column that you are currently using is 'good '.

  Something I would like to personally study (must be able to compare this approach to your course, if you need parameters for comparison) if I were you would be using a Table Index organized for it. It will take more time to perform the operations insertion, but that is a small part of all the work that you do for this process. For updates, it should eliminate a lot of IO, assuming that you are doing an INDEX seek followed by a table access by ROWID to perform updates. This recommendation assumes that everything you said is true. You have 4 columns in your table, of which 3 are components of the primary key and the 4th is a date (note I did not string :)) and that you refresh mainly, not fit.) Also that you have no 'secondary' on this entity index (and none are needed).

  I would investigate this approach before the solution of temporary table that you are currently studying.

  See you soon,.

• Delte the value after validation fails

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  Because users tend to ignore the error of the validation message they got and data that has been overgiven were too bad, I want to delte the fieldinput if validation has failed.

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  Already thanks for looking here

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  The approach with IMFConnection is undocumented, subject to changes and certainly not recommended for real code, yet.

  Support is just to stage.focus null value.

• Nested table frees the file after validation?

  Hello world

  My version of DB is

  Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 - 64bi

  PL/SQL Release 10.2.0.1.0 - Production

  "CORE 10.2.0.1.0 Production."

  AMT for Linux: Version 10.2.0.1.0 - Production

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  Please take a look at the code and suggest me something here.

  DECLARE

  TYPE ARRAY_REC_TYPE IS RECORD (SPECTRA_MRN CROWN_WEB_PATIENT_LIST. TYPE % SPECTRA_MRN

  CALENDAR_MONTH_END_DATE CROWN_WEB_PATIENT_LIST. TYPE % CALENDAR_MONTH_END_DATE

  INFLUENZAWHENGIVEN CROWN_WEB_PATIENT_LIST. INFLUENZAWHENGIVEN % TYPE);

  TYPE ARRAY_TAB_TYPE IS TABLE OF THE ARRAY_REC_TYPE;

  VC_ARRAY_TAB_TYPE ARRAY_TAB_TYPE: = ARRAY_TAB_TYPE();

  BEGIN

  SELECT SPECTRA_MRN,

  CALENDAR_MONTH_END_DATE,

  INFLUENZAWHENGIVEN

  BULK COLLECT INTO VC_ARRAY_TAB_TYPE

  OF CROWN_WEB_PATIENT_LIST

  WHERE INFLUENZAWHENGIVEN IS NOT NULL;

  FOR I IN VC_ARRAY_TAB_TYPE.first... VC_ARRAY_TAB_TYPE. Last LOOP

  UPDATE CROWN_WEB_PATIENT_LIST

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  FOR K IN VC_ARRAY_TAB_TYPE.first... VC_ARRAY_TAB_TYPE. Last LOOP

  UPDATE CROWN_WEB_PATIENT_LIST

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  WHERE SPECTRA_MRN = VC_ARRAY_TAB_TYPE (K). SPECTRA_MRN

  AND TRUNC (CALENDAR_MONTH_END_DATE) = TRUNC (VC_ARRAY_TAB_TYPE (K). CALENDAR_MONTH_END_DATE);

  END LOOP;

  EXCEPTION

  WHILE OTHERS THEN

  ROLLBACK;

  END;

  /

  Kind regards

  BS2012.

  Your EXCEPTION WHILE others removes any possible EXCEPTOIN that is raised. You need to get rid of him. Or at least use RAISES at the end. And if you decide to use the collection then get the best out of him using treatment in BULK. Here is an example FORALL.

  SQL> desc t
   Name                                      Null?    Type
   ----------------------------------------- -------- ----------------------------
   ID                                                 NUMBER
   DT                                                 VARCHAR2(10)
  
  SQL> select * from t;
  
          ID DT
  ---------- ----------
           1 05-08-2014
           2 06-08-2014
           3 07-08-2014
           4 08-08-2014
           5 09-08-2014
           6 10-08-2014
           7 11-08-2014
           8 12-08-2014
           9 13-08-2014
          10 14-08-2014
  
  10 rows selected.
  
  SQL> declare
    2    type id_tbl is table of t.id%type;
    3    type dt_tbl is table of t.dt%type;
    4    l_id id_tbl;
    5    l_dt dt_tbl;
    6  begin
    7    select id, dt bulk collect into l_id, l_dt
    8      from t;
    9
   10    update t
   11       set dt = null;
   12
   13    execute immediate 'alter table t modify dt date';
   14
   15    forall i in 1..l_id.count
   16      update t
   17         set dt = to_date(l_dt(i), 'dd-mm-yyyy')
   18       where id = l_id(i);
   19  end;
   20  /
  
  PL/SQL procedure successfully completed.
  
  SQL> desc t
   Name                                      Null?    Type
   ----------------------------------------- -------- ----------------------------
   ID                                                 NUMBER
   DT                                                 DATE
  
  SQL> select * from t;
  
          ID DT
  ---------- ---------
           1 05-AUG-14
           2 06-AUG-14
           3 07-AUG-14
           4 08-AUG-14
           5 09-AUG-14
           6 10-AUG-14
           7 11-AUG-14
           8 12-AUG-14
           9 13-AUG-14
          10 14-AUG-14
  
  10 rows selected.
  
  SQL>
  

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  .

  .

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