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Full Discussion: Parse through ~21,000 Database DDL statements -- Fastest way to perform search, replace and insert
Top Forums Shell Programming and Scripting Parse through ~21,000 Database DDL statements -- Fastest way to perform search, replace and insert Post 302805653 by madhunk on Friday 10th of May 2013 02:42:17 PM
Old 05-10-2013
Parse through ~21,000 Database DDL statements -- Fastest way to perform search, replace and insert
Hello All:

We are looking to search through 2000 files with around 21,000 statements where we have to search, replace and insert a pattern based on the following:

1) Parse through the file and check for CREATE MULTISET TABLE or CREATE SET TABLE statements.....and they always end with ON COMMIT PRESERVE ROWS;

Code:
CREATE MULTISET VOLATILE TABLE vt_test
, NO FALLBACK, NO JOURNAL, NO LOG AS
(
                select col1,max(col2) as col2 
                from vt_test
                where col3 in (1,2,3)
)
WITH DATA 
PRIMARY INDEX (col1) 
ON COMMIT PRESERVE ROWS;

2) Replace WITH DATA to WITH NO DATA. If there is already NO DATA, skip changing it.

Code:
CREATE MULTISET VOLATILE TABLE vt_test
, NO FALLBACK, NO JOURNAL, NO LOG AS
(
                select col1,max(col2) as col2 
                from vt_test
                where col3 in (1,2,3)
)
WITH NO DATA 
PRIMARY INDEX (col1) 
ON COMMIT PRESERVE ROWS;

3) Add an INSERT statement right after this....with the same table name. Basically, take the SELECT part from above and end it with a semi-colon. The challenge is code is not formatted. It can be in one line...and can be a mix of CAPS and SMALL (case insensitive). Final code should look like this:

Code:
CREATE MULTISET VOLATILE TABLE vt_test
, NO FALLBACK, NO JOURNAL, NO LOG AS
(
                select col1,max(col2) as col2 
                from vt_test
                where col3 in (1,2,3)
)
WITH NO DATA 
PRIMARY INDEX (col1) 
ON COMMIT PRESERVE ROWS;

INSERT INTO vt_test
select col1,max(col2) as col2 
from vt_test
where col3 in (1,2,3);

4) Output a new file in another directory....

I am comfortable doing the pattern replace using awk, but not well versed with doing the additional step. Please see below and see if you can help.

Code:
#!/usr/bin/ksh
#|------------------------------------------------------------------|
#|  Split the CREATE TABLE AS into DDL and DML Step
#|------------------------------------------------------------------|

usage ()
{
     echo " Usage: $0 <SRC_DIR> <TGT_DIR>"
}

if [ $# -lt 2 ]; then
        usage
        exit;
fi

SRC_DIR=$1
TGT_DIR=$2


for i in *.prc
do
awk 'BEGIN{IGNORECASE=1} {gsub(/WITH DATA/,"WITH NO DATA");print}' $i > TGT_DIR
done

 

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LEARN ABOUT SUSE

ausearch_add_timestamp_item

AUSEARCH_ADD_TIMESTAMP_ITEM(3)					  Linux Audit API				    AUSEARCH_ADD_TIMESTAMP_ITEM(3)

NAME

       ausearch_add_timestamp_item - build up search rule

SYNOPSIS

       #include <auparse.h>

       int ausearch_add_timestamp_item(auparse_state_t *au, const char *op, time_t sec, unsigned milli, ausearch_rule_t how)

DESCRIPTION

       ausearch_add_timestamp_item  adds an event time condition to the current audit search expression. The search conditions can then be used to
       scan logs, files, or buffers for something of interest. The op parameter specifies the desired comparison. Legal op values are <, <=, >=, >
       and  =.	 The left operand of the comparison operator is the timestamp of the examined event, the right operand is specified by the sec and
       milli parameters.

       The how value determines how this search condition will affect the existing search expression if one is already defined. The possible  val-
       ues are:

	      AUSEARCH_RULE_CLEAR
		     Clear the current search expression, if any, and use only this search condition.

	      AUSEARCH_RULE_OR
		     If a search expression E is already configured, replace it by (E || this_search_condition).

	      AUSEARCH_RULE_AND
		     If a search expression E is already configured, replace it by (E && this_search_condition).

RETURN VALUE

       Returns -1 if an error occurs; otherwise, 0 for success.

APPLICATION USAGE

       Use  ausearch_add_item(3)  and ausearch_add_interpreted_item(3) to add conditions that check audit record fields.  Use ausearch_add_expres-
       sion(3) to add complex search expressions using a single function call.

SEE ALSO

       ausearch_add_expression(3),  ausearch_add_item(3),  ausearch_add_interpreted_item(3),  ausearch_add_regex(3),  ausearch_set_stop(3),  ause-
       arch_clear(3), ausearch_next_event(3), ausearch-expression(5).

AUTHOR

       Miloslav Trmac

Red Hat 							     Nov 2007					    AUSEARCH_ADD_TIMESTAMP_ITEM(3)
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