Compare floating points for all columns in parallel

I have a data set that needs processing and wondering what is the best way to handle.
What i have:
1) Text file with 300+ columns (all numbers (float or integers) )
2) Rows =~ 1M (This is the actual data)
3) One more text file with 300+ columns (column name same as #1) with boundary conditions for that column (explained below)
Example: This is content of file1 (cols 300 and rows =1M)
Col1 Col2 Col3...... Col300
1.1 4.22 6 8.1234
1.23 4.5 7
1.0 4.7 11
1.3 4.1 13
2nd File
ColumName Low High
Col1 1.0 2.0
Col2 4.1 4.5
Col3 5 10
What i want:
Compare each column of file 1 with the low/high range of file 2. So if ( col1 < low ) then output=Fail if (col1 > High) output=Fail else PASS if Low < col1 < High
Output:
Col1 Col2 Col3
Pass Pass Pass
Pass Fail Pass
Pass Pass Fail
Question:
1) I want to do it in parallel since there are million rows and hundreds of column - Need SPEED
2) I do it in perl right now and it takes about 30-40 mins for this 3GB data file
3) If there is good way to do it in oracle then i can create 2 tables for these 2 files and write pl/sql function to run in parallel and create output in 3rd table
a) If this the right way to do.
b) What would the pl/sql look like and how to run in parallel
c) Since i will be starting from scratch so open to any new design idea for implementation
4) Once this is done then i would like to perform other statistics on the first file (MIN,MAX, AVG, MEDIAN etc) and store in different output table
Appreciate any help.

However, i will have to check with our DBA but the answer would be no most likely.It would be very interesting to know the reason(s) why your DBA would say no to external tables, so please keep us posted on that.
He/she can easily create a directory object that points to a specific physical directory on the server, only allowing you access to that directory.
By simply querying your files, you can use the power of SQL (for example: analytics etc) to do set-based processing, you'll crunch a million rows within a minute.
http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:6611962171229
http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:5448988086977
http://www.oracle-developer.net/display.php?id=325
How will you get your data into your fixed 'playtables' in the first place anyway?
I use cluster computing so things can be done in parallel but there are too many files to handle.If those files all have an identical layout then the external table can query them all at once.
You could do this dynamically.

Similar Messages

Method_opt = 'FOR ALL COLUMNS SIZE REPEAT'

Hi all Gurus,
We have a script to take statitics (see below), it runs every day and All the tables has de "MONITORING" option in a 9.2.0.5 database.
My question is concern to "method_opt =>'FOR ALL COLUMNS SIZE REPEAT',OPTIONS=>'GATHER EMPTY',estimate_percent =>5);
So, for a new table with columnns and indexes (with "monitoring" option), will it create statistics or histograms statistics when the script run for the first time on the table??? and then, will continue with/without histograms???
begin
DBMS_STATS.FLUSH_DATABASE_MONITORING_INFO();
DBMS_STATS.GATHER_DATABASE_STATS(DEGREE=>4,GRANULARITY=>'ALL',CASCADE=>TRUE,method_opt =>'FOR ALL COLUMNS SIZE REPEAT',OPTIONS=>'GATHER EMPTY',estimate_percent =>5);
DBMS_STATS.GATHER_DATABASE_STATS(estimate_percent =>5,OPTIONS=>'GATHER STALE',method_opt =>'FOR ALL COLUMNS SIZE REPEAT',degree => 4, cascade=>true,STATTAB=>'TABLA_ESTADISTICAS',STATID=>to_char(sysdate,'yymmdd'),STATOWN=>'OPER');
end;
Regards,

Hi all Gurus,
We have a script to take statitics (see below), it runs every day and All the tables has de "MONITORING" option in a 9.2.0.5 database.
My question is concern to "method_opt =>'FOR ALL COLUMNS SIZE REPEAT',OPTIONS=>'GATHER EMPTY',estimate_percent =>5);
So, for a new table with columnns and indexes (with "monitoring" option), will it create statistics or histograms statistics when the script run for the first time on the table??? and then, will continue with/without histograms???
begin
DBMS_STATS.FLUSH_DATABASE_MONITORING_INFO();
DBMS_STATS.GATHER_DATABASE_STATS(DEGREE=>4,GRANULARITY=>'ALL',CASCADE=>TRUE,method_opt =>'FOR ALL COLUMNS SIZE REPEAT',OPTIONS=>'GATHER EMPTY',estimate_percent =>5);
DBMS_STATS.GATHER_DATABASE_STATS(estimate_percent =>5,OPTIONS=>'GATHER STALE',method_opt =>'FOR ALL COLUMNS SIZE REPEAT',degree => 4, cascade=>true,STATTAB=>'TABLA_ESTADISTICAS',STATID=>to_char(sysdate,'yymmdd'),STATOWN=>'OPER');
end;
Regards,
{code}
I have taken following explanation from documentation:
{code}
METHOD_OPT - The value controls column statistics collection and histogram creation. It accepts either of the following options, or both in combination:
FOR ALL [INDEXED | HIDDEN] COLUMNS [size_clause]
FOR COLUMNS [size clause] column|attribute [size_clause] [,column|attribute [size_clause]...]
size_clause is defined as size_clause := SIZE {integer | REPEAT | AUTO | SKEWONLY}
column is defined as column := column_name | (extension)
- integer : Number of histogram buckets. Must be in the range [1,254].
- REPEAT : Collects histograms only on the columns that already have histograms.
- AUTO : Oracle determines the columns to collect histograms based on data distribution and the workload of the columns.
- SKEWONLY : Oracle determines the columns to collect histograms based on the data distribution of the columns.
- column_name : name of a column
- extension : can be either a column group in the format of (column_name, colume_name [, ...]) or an expression
The default is FOR ALL COLUMNS SIZE AUTO.
{code}
GATHER EMPTY: Gathers statistics on objects which currently have no statistics. Return a list of objects found to have no statistics.
Reference: http://download.oracle.com/docs/cd/B28359_01/appdev.111/b28419/d_stats.htm
Please go through the link, it will give you more clear picture on DBMS_STATS.
Regards,
S.K.

Create LOV's for all columns at the time of folder creation

Hi,
I know we can automatically create the LOV's for all the columns of a database table when creating the folder in the EUL. Is this a good practice or should I create LOV's on demand? What is the disadvantage of creating more LOV's than needs to be used other than the disk storage? I also know it is not a good idea to have an LOV on a field that has a lot of values. I am tempted not to create the LOV's in the beginning, but then it becomes a high maintenance issue if I have to come back and create many LOV's later. Thank you for your input.

Yes, it is not a good idea to create LOVs for all the columns. LOVS should be created only for the columns where parameters will be used. More the number of LOVs, slower the response in opening up your Discoverer reports and if you are using Disco Viewer, the page might take a long time to open up and frustrate the users.
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Max stock level and reorder point for all the materials

Dear experts,
Is there any standard mm report that will give the details of max stock level and reorder point details for all the materials?
Thanks in advance,
Regards,
Krish

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Compare floating point values in a column

I have a column defined as NUMBER. The values are say 1.2345 and 1.23443. Visually i can say they are almost the same but if i do select count(distinct colA) from table it gives two values, which is perfectly right. What i want to do is say if they are less than 0.0001 then count them as same value.
You could argue if i use ROUND or TRUNCATE to the 'n' decimal point but i see this as an issue even even to two decimal places. If the 3rd digit after the decimal is greater than 5 it would round the 2nd digit. If i use TRUNCATE to 'n' places then the last digit might be smaller than the previous value so again the same issue.
However, my problem is how do i do if its in 2 or 3 different rows for the same column. If they are in two columns, i am able to do (COLA - COLB) and if the value is < 0.00001 then ignore or filter from the query result.
Example:
ColA , ColB
Variable1, 1.23453876
Variable1, 1.2342736
Variable1, 1.23420087
Variable2, 10.250
Variable2, 15.775
Variable3, -1.93815994262695
Variable3, -1.93815803527832
Output: Count of unique values for each variable in columnA
Variable1, 1
Variable2, 2
Variable3, 1
OR
Output: Display on those variables whose values is more than 0.0001 (4 digits after the decimal)
Variable2, 2
I am using oracle 10.2 Enterprise Edition and accessing data via TOAD
Thanks

Peter,
Thank you for the sql, i had not tried lag function before so it was new to me. I modified it slightly to lag by 'partition query'. The issue i see is it does delta between only two consecutive values so if there are 5 values in 5 rows then they can be off by 0.0001 (some small number) and we will never catch those variables because the case statement would evaluate to '0' based on the if condition.
However, for my case it would work perfectly fine since i wanted to separate small values from the real obvious big deltas. As in the case below where the delta was 5.XX which narrows down to Variable2.
with
tab as
(select 'Variable1' cola, 1.23453876 colb from dual union all
select 'Variable3', -1.93815994262695 from dual union all
select 'Variable1', 1.2342736 from dual union all
select 'Variable2', 10.250 from dual union all
select 'Variable2', 15.775 from dual union all
select 'Variable1', 1.23420087 from dual union all
select 'Variable3', -1.93815803527832 from dual union all
select 'Variable4', 47.41209 from dual union all
select 'Variable4', 47.41207 from dual
select *
from
select
cola,colb,lag(colb) over (partition by cola order by colb)prev_value, round(abs(colb - lag(colb) over (partition by cola order by colb)),4)prev_delta
,case when colb - nvl(lag(colb) over (partition by cola order by colb ), colb) < 0.0001 then 0
else 1 end dif_count
from
tab
--order by   cola
--group by cola
COLA     COLB     PREV_VALUE     PREV_DELTA     DIF_COUNT
Variable1     1.23420087               0
Variable1     1.2342736     1.23420087     0.0001     0
Variable1     1.23453876     1.2342736     0.0003     1
Variable2     10.25               0
Variable2     15.775     10.25     5.525     1
Variable3     -1.938159943               0
Variable3     -1.938158035     -1.938159943     0     0
Variable4     47.41207               0
Variable4     47.41209     47.41207     0     0
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I have 9 databases I support that contain the same structure, and very similar data concentrations. We are seeing inconsistent performance in the different databases due to bind variable peeking.. I have tracked it down to the Min and Max values that are gathered during the analyze. I analyze from one cluster, and export/import those statistics into the other clusters.. I then go about locking down the stats gathered. Some of the statistics are on tables that contain transient data (the older data is purged, and new data gets a new PK sequence number).
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MarkDPowell wrote:
The Oracle documentation on bind variable peeking said it did not peek without histograms and I cannot remember ever seeing on 9.2 where the trace showed otherwise. Mark,
see this simple test case run on 9.2.0.8. No histograms, but bind variable peeking, as you can see that the EXPLAIN PLAN output generated by AUTOTRACE differs from the estimated cardinality of the actual plan used at runtime.
Which documentation do you refer to?
SQL>
SQL> alter session set nls_language = 'AMERICAN';
Session altered.
SQL>
SQL> drop table bind_peek_test;
Table dropped.
SQL>
SQL> create table bind_peek_test
2 as
3 select
4            100 as n1
5          , cast(dbms_random.string('a', 20) as varchar2(20)) as filler
6 from
7            dual
8 connect by
9            level <= 1000;
Table created.
SQL>
SQL> exec dbms_stats.gather_table_stats(null, 'bind_peek_test', method_opt=>'FOR ALL COLUMNS SIZE 1')
PL/SQL procedure successfully completed.
SQL>
SQL> variable n number
SQL>
SQL> variable n2 number
SQL>
SQL> alter system flush shared_pool;
System altered.
SQL>
SQL> exec :n := 1; :n2 := 50;
PL/SQL procedure successfully completed.
SQL>
SQL> set autotrace traceonly
SQL>
SQL> select * from bind_peek_test where n1 >= :n and n1 <= :n2;
no rows selected
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=2 Card=1000 Bytes=24
          000)
   1    0   FILTER
   2    1     TABLE ACCESS (FULL) OF 'BIND_PEEK_TEST' (Cost=2 Card=100
          0 Bytes=24000)
Statistics
        236 recursive calls
          0 db block gets
         35 consistent gets
          0 physical reads
          0 redo size
        299 bytes sent via SQL*Net to client
        372 bytes received via SQL*Net from client
          1 SQL*Net roundtrips to/from client
          4 sorts (memory)
          0 sorts (disk)
          0 rows processed
SQL>
SQL> set autotrace off
SQL>
SQL> select
2            cardinality
3 from
4            v$sql_plan
5 where
6            cardinality is not null
7 and      hash_value in (
8    select
9           hash_value
10    from
11           v$sql
12    where
13           sql_text like 'select * from bind_peek_test%'
14    );
CARDINALITY
          1
SQL>
SQL> alter system flush shared_pool;
System altered.
SQL>
SQL> exec :n := 100; :n2 := 100;
PL/SQL procedure successfully completed.
SQL>
SQL> set autotrace traceonly
SQL>
SQL> select * from bind_peek_test where n1 >= :n and n1 <= :n2;
1000 rows selected.
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=2 Card=1000 Bytes=24
          000)
   1    0   FILTER
   2    1     TABLE ACCESS (FULL) OF 'BIND_PEEK_TEST' (Cost=2 Card=100
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Statistics
        236 recursive calls
          0 db block gets
        102 consistent gets
          0 physical reads
          0 redo size
      34435 bytes sent via SQL*Net to client
       1109 bytes received via SQL*Net from client
         68 SQL*Net roundtrips to/from client
          4 sorts (memory)
          0 sorts (disk)
       1000 rows processed
SQL>
SQL> set autotrace off
SQL>
SQL> select
2            cardinality
3 from
4            v$sql_plan
5 where
6            cardinality is not null
7 and      hash_value = (
8    select
9           hash_value
10    from
11           v$sql
12    where
13           sql_text like 'select * from bind_peek_test%'
14    );
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SQL>
SQL> spool offRegards,
Randolf
Oracle related stuff blog:
http://oracle-randolf.blogspot.com/
SQLTools++ for Oracle (Open source Oracle GUI for Windows):
http://www.sqltools-plusplus.org:7676/
http://sourceforge.net/projects/sqlt-pp/

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Hello everyone,
i have one table about 20 000 000 rows, some developers have to generate reports on it and i want to create indexes on this table.
The table has 34 columns, no primary key, no unique keys.
The "where..." clause of the reports usually use 8 columns but some reports uses 8 + some other columns.
can any one help me on what kind of indexes do i have to create?
1. one index for each column used in "where clause"
2. one index for 8 columns and some other indexes for other used columns
3. one index for all columns
or something else etc...
br flag

i have one table about 20 000 000 rows, some developers have to generate reports on it and i want to create indexes on this table.
The table has 34 columns, no primary key, no unique keys.
The "where..." clause of the reports usually use 8 columns but some reports uses 8 + some other columns.
can any one help me on what kind of indexes do i have to create?
1. one index for each column used in "where clause"
2. one index for 8 columns and some other indexes for other used columns
3. one index for all columns
or something else etc...What's the version of your data base? what kind of database you have, DWH or OTLP? The answer might depend on the type of database as far as bitmap indexes might suit or might not depending if you are runing DWH or OLTP kind of database
Let me suppose that you are runing OLTP database and you have a where clause with 8 columns.
1) are all those where clause equalities (where col1 = and col2 =) or there are inequalities?
2) could you evaluate the most repetitive columns?
3) could you know the column that could have the best clustering factor (the column which most follow a certain order in the table)
Based on that I would suggest to create one b-tree index having 8 columns (even though that it seems for me to high) this index should follow the following points:
1) put the most repetitive column at the leading edge (and compress the index if necessary)
2) put the columns that are used in equalitity predicate first
3) put the column having the best clustering factor first
The most precise index you have the best access you could gain.
Of course that you have to know that an index access is not always good and a FULL table scan is not always bad.
Best regards
Mohamed Houri
www.hourim.wordpress.com

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Hello,
I'm using TestStand and LabVIEW.
What is the best way to compare floating point numbers in TestStand flow?
Thanks in advance.

If the numbers are already available in TestStand and it is important for the report, i suggest you to make the comparison in TestStand.
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hope this helps,
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Expert: Geometry
Marketing Manager: Just ignore it.

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MikeBoso a écrit :
Whoops, I forgot to mention a key detail in that the images would need to be viewed by users without LabVIEW.
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How can i write the below code using "For all entries"

Hi
How can we write the below code using "for all entries" and need to avoid joins...
Please help
SELECT aaufnr aobjnr aauart atxjcd a~pspel
agstrp awerks carbpl cwerks
INTO TABLE t_caufv
FROM caufv AS a
INNER JOIN afih AS b
ON aaufnr = baufnr
INNER JOIN crhd AS c
ON bgewrk = cobjid
AND c~objty = 'D'
WHERE ( a~pspel = space
OR a~txjcd = space
OR NOT a~objnr IN
( select OBJNR from COBRB AS e
WHERE objnr = a~objnr ) )
AND a~werks IN s_plant
AND a~auart IN s_wtype
AND NOT a~objnr IN
( select OBJNR from JEST AS d
WHERE objnr = a~objnr
AND ( dstat = 'A0081'OR dstat = 'A0018' )
AND d~inact 'X' ).
Reward points for all helpfull answers
Thanks
Ammi.

Hi,
SELECT objnr objid aufnr
        from afih
        into table t_afih.
SELECT objnr
        from JEST
        into table t_JEST
        where stat = 'A0045'
           OR stat = 'A0046'
           AND inact 'X'.
SELECT objnr
        from COBRB
        into table t_cobrb.
SELECT arbpl werks objid objty
      from crhd
      INTO table it_crhd
      FOR ALL ENTRIES IN it_afih
      WHERE objty eq 'D'
      AND gewrk = it_afih-objid.
SELECT aufnr objnr auart txjcd pspel gstrp werks aufnr
        FROM caufv
        INTO table t_caufv
        FOR ALL ENTRIES IN it_afih
        WHERE aufnr = it_afih-aufnr
          And pspel = ' '
          AND txjcd = ' '
         ANd objnr ne it_crhd-objnr
          AND auart in s_wtype
          AND werks in s_plant.
         AND objnr ne it_jest-objnr.
dont use NE in the select statements, it may effect performance also. Instead use if statements inside
loops.
loop at t_caufv.
read table it_chrd............
if t_caufv-objnr ne it_chrd-objnr.
read table it_jest..........
   if   if t_caufv-objnr ne it_jest-objnr.
    (proceed further).
   endif.
endif.
endloop.
hope this helps.
Reward if useful.
Regards,
Anu

Floating Point # in MIDP & CLDC...

What is way of using the floating point numbers in MIDP & CLDC?
MIDP and CLDC has no built in support for it.
Plz help me...

simple.... Don't :P
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It is possible to recompile the KVM and enable floating point support, but none of the embedded implementations have this support, so its a pointless excercise.
What do you need floating point for?

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Hello,
I have an ALV and I use a DDIC structure for the field catalog. My requirement is that for all columns in ALV, the F4 should appear normally (using the DDIC information), but I do not want an automatic check for the value entered by user.
So .e.g. if in F4, possible values are 1, 2, 3 then the ALV throws an error if user leaves the field blank (because blank was not a possible value for the domain of the field). How, can I by-pass this automatic check by ALV (while still keeping the F4 help)?
Regards,
Mohit

Hi hope u know the difference between value table and check table.
In this case you have to give value table as F4 reference but not check table.
I mean consider the field Plant. if you are defining plane with reference to master table T001w and u r entering a value not in T001W it will give error. because here it is check table. where as define the plant with refence to MARC. then MARC will be value table. and dont give error if you enter any plane value not there in MARC.
Try to find out value tables for your fields and use. Then it will work.

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