JMeter: while controller not terminating upon zero count - while-loop

This is a continuation of my question JMeter: How to benchmark data deletion from database table in batches?. I adopted the solution proposed by Dimitri T, and now I am using the test case for Oracle DB.
My test case starts by inserting 1000 entries, using 100 threads in 10 loops. After that, it deletes where rownum < 250.
However, my test case is no longer able to detect that the table is empty. When I view the response data in my result tree, I see the following:
249 updates
249 updates
249 updates
249 updates
4 updates
0 updates
0 updates
0 updates
...
JMeter itself does not report any errors occurring.
My thread group looks like this:
...(separate thread group to do INSERT)...
Thread Group: Do DELETE
Txn Ctrl: DELETE
While Loop: tbl still has data
JDBC Request: DELETE from tbl
JDBC PostProcessor
Loop condition is defined as follows:
${__jexl3('${count_1} > 0',)}
(As a slight change from the solution in my previous question, I surrounded the condition in quotes to prevent the ambiguous expression error from showing up.)
JDBC request is defined as follows:
delete from tbl where (entrydt < ${endDt}) and (rownum < ${deleteLimit})
(User-defined variables endDt and deleteLimit have values TO_DATE('2019/02/01 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and 250 respectively.)
JDBC post-procesor is defined as follows:
[Select statement] select count(*) from tbl
Variable names: count (All other fields are empty.)
Handle ResultSet: Store as String
I have tried
Changing the loop condition; the quotes do not matter; neither do changing ${count_1} to ${count}
Changing the post-processor; between variable names, result variable name, and how the result set is handled

who told you to surround the expression with quotation marks? First you break the working solution and then you're complaining that the expression provided doesn't work.
Just define count_1 as as positive number via User Defined Variables and you will not have any errors in jmeter.log
If for some reason you're not willing to do this or cannot do this - you can consider migrating to __groovy() function with an extra check of count_1 variable being set like:
${__groovy(vars.get('count_1') == null || (vars.get('count_1') as int) > 0,)}

Related

Regex comparison in Oracle between 2 varchar columns (from different tables)

I am trying to find a way to capture relevant errors from oracle alertlog. I have one table (ORA_BLACKLIST) with column values as below (these are the values which I want to ignore from
V$DIAG_ALERT_EXT)
Below are sample data in ORA_BLACKLIST table. This table can grow based on additional error to ignore from alertlog.
ORA-07445%[kkqctdrvJPPD
ORA-07445%[kxsPurgeCursor
ORA-01013%
ORA-27037%
ORA-01110
ORA-2154
V$DIAG_ALERT_EXT contains a MESSAGE_TEXT column which contains sample text like below.
ORA-01013: user requested cancel of current operation
ORA-07445: exception encountered: core dump [kxtogboh()+22] [SIGSEGV] [ADDR:0x87] [PC:0x12292A56]
ORA-07445: exception encountered: core dump [java_util_HashMap__get()] [SIGSEGV]
ORA-00600: internal error code arguments: [qercoRopRowsets:anumrows]
I want to write a query something like below to ignore the black listed errors and only capture relevant info like below.
select
dae.instance_id,
dae.container_name,
err_count,
dae.message_level
from
ORA_BLACKLIST ob,
V$DIAG_ALERT_EXT dae
where
group by .....;
Can someone suggest a way or sample code to achieve it?
I should have provided the exact contents of blacklist table. It currently contains some regex (perl) and I want to convert it to oracle like regex and compare with v$diag_alert_ext message_text column. Below are sample perl regex in my blacklist table.
ORA-0(,|$| )
ORA-48913
ORA-00060
ORA-609(,|$| )
ORA-65011
ORA-65020 ORA-31(,|$| )
ORA-7452 ORA-959(,|$| )
ORA-3136(,|)|$| )
ORA-07445.[kkqctdrvJPPD
ORA-07445.[kxsPurgeCursor –
Your blacklist table looks like like patterns, not regular expressions.
You can write a query like this:
select dae.* -- or whatever columns you want
from V$DIAG_ALERT_EXT dae
where not exists (select 1
from ORA_BLACKLIST ob
where dae.message_text like ob.<column name>
);
This will not have particularly good performance if the tables are large.

MS Access Query date range when last date not found

I have the following update query in MS Access 2013
UPDATE WXObs SET WXObs.SnowFlag = 1
WHERE (((WXObs.StationID) ="451409") And(
(WxObs.ObsDate) Between #1/3/2003# AND #3/29/2003# OR
(WxObs.ObsDate) Between #11/16/2003# AND #5/7/2004# OR
(WxObs.ObsDate) Between #10/30/2004# AND #4/30/2005#));
This works until the end date in the range is not found. For instance, if 5/7/2004 is not in the data set, then the update continues to the next end date, in this case 4/30/2005.
I would prefer it ended on the last date in the range. For instance, if the data ended on 4/21/2004, that would be last field updated between 11/16/ and 5/7/2004. The query would then continue to update again beginning on 10/30/2004.
I have tried < and <=
Thanks
You're missing some parentheses that are affecting the evaluation order, causing the behavior that you're reporting.
What you want is for each of the BETWEEN portions to be evaluated completely before the OR option is evaluated, and you need to make sure that evaluation is done by surrounding the BETWEEN expressions in parentheses to guarantee the evaluation order.
This should correct it (untested, as you've not provided the test data necessary to create a test case).
UPDATE WXObs SET WXObs.SnowFlag = 1
WHERE
(WXObs.StationID ="451409")
And
(
(WxObs.ObsDate Between #1/3/2003# AND #3/29/2003#) OR
(WxObs.ObsDate Between #11/16/2003# AND #5/7/2004#) OR
(WxObs.ObsDate Between #10/30/2004# AND #4/30/2005#)
);

Openquery Hung at Same Row Number

I'm attempting to do run an openquery in SQL Server 17 via a linked server to an Oracle connection feed. When I run the query posted below it gets stuck at row 7833 every single time.
Query:
SELECT
sys_ohi,
"Region",
sub_acct_no_ohi,
serv_cde_ohi,
connect_dte_ohi,
charge_amt_ohi
FROM openquery (MyServer, '
(SELECT DISTINCT
sys_ohi,
CASE
WHEN prin_ohi = ''1000'' THEN ''Seattle East''
WHEN prin_ohi = ''1500'' THEN ''Seattle West''
WHEN prin_ohi = ''2000'' THEN ''Oregon''
WHEN prin_ohi = ''3000'' THEN ''Sacramento''
WHEN prin_ohi = ''3500'' THEN ''San Francisco''
END AS "Region",
sub_acct_no_ohi,
serv_cde_ohi,
connect_dte_ohi,
charge_amt_ohi
FROM mytable_ohi
WHERE serv_cde_ohi IN (''INSTALL'')
AND connect_dte_ohi > trunc(to_date(''06-01-2017'',''MM-DD-YYYY'')))')
I have 36 different serv_cde_ohi IN (''INSTALL'') but I have created 36 UNION ALL queries for the different scenarios since attempting to put them within the 'IN' statement was terrible for performance.
I need to know why this query gets stuck at the same spot.
It is possible your UNION ALL declaration is dependent upon implicit data conversions to begin executing, then a data condition occurs during the cursor fetch where the implicit conversion fails in this manner you are observing.
Eliminate all implicit dependencies. For each item in each SELECT, explicitly establish the data types (the same type for each item, ordinally of course).

Foxpro String Variable combination in Forloop

As in title, there is an error in my first code in FOR loop: Command contains unrecognized phrase. I am thinking if the method string+variable is wrong.
ALTER TABLE table1 ADD COLUMN prod_n c(10)
ALTER TABLE table1 ADD COLUMN prm1 n(19,2)
ALTER TABLE table1 ADD COLUMN rbon1 n(19,2)
ALTER TABLE table1 ADD COLUMN total1 n(19,2)
There are prm2... until total5, in which the numbers represent the month.
FOR i=1 TO 5
REPLACE ALL prm+i WITH amount FOR LEFT(ALLTRIM(a),1)="P" AND
batch_mth = i
REPLACE ALL rbon+i WITH amount FOR LEFT(ALLTRIM(a),1)="R"
AND batch_mth = i
REPLACE ALL total+i WITH sum((prm+i)+(rbon+i)) FOR batch_mth = i
NEXT
ENDFOR
Thanks for the help.
There are a number of things wrong with the code you posted above. Cetin has mentioned a number of them, so I apologize if I duplicate some of them.
PROBLEM 1 - in your ALTER TABLE commands I do not see where you create fields prm2, prm3, prm4, prm5, rbon2, rbon3, etc.
And yet your FOR LOOP would be trying to write to those fields as the FOR LOOP expression i increases from 1 to 5 - if the other parts of your code was correct.
PROBLEM 2 - You cannot concatenate a String to an Integer so as to create a Field Name like you attempt to do with prm+i or rbon+1
Cetin's code suggestions would work (again as long as you had the #2, #3, etc. fields defined). However in Foxpro and Visual Foxpro you can generally do a task in a variety of ways.
Personally, for readability I'd approach your FOR LOOP like this:
FOR i=1 TO 5
* --- Keep in mind that unless fields #2, #3, #4, & #5 are defined ---
* --- The following will Fail ---
cFld1 = "prm" + STR(i,1) && define the 1st field
cFld2 = "rbon" + STR(i,1) && define the 2nd field
cFld3 = "total" + STR(i,1) && define the 3rd field
REPLACE ALL &cFld1 WITH amount ;
FOR LEFT(ALLTRIM(a),1)="P" AND batch_mth = i
REPLACE ALL &cFld2 WITH amount ;
FOR LEFT(ALLTRIM(a),1)="R" AND batch_mth = i
REPLACE ALL &cFld3 WITH sum((prm+i)+(rbon+i)) ;
FOR batch_mth = i
NEXT
NOTE - it might be good if you would learn to use VFP's Debug tools so that you can examine your code execution line-by-line in the VFP Development mode. And you can also use it to examine the variable values.
Breakpoints are good, but you have to already have the TRACE WINDOW open for the Break to work.
SET STEP ON is the Debug command that I generally use so that program execution will stop and AUTOMATICALLY open the TRACE WINDOW for looking at code execution and/or variable values.
Do you mean you have fields named prm1, prm2, prm3 ... prm12 that represent the months and you want to update them in a loop? If so, you need to understand that a "fieldName" is a "name" and thus you need to use a "name expression" to use it as a variable. That is:
prm+i
would NOT work but:
( 'pro'+ ltrim(str(m.i)) )
would.
For example here is your code revised:
For i=1 To 5
Replace All ('prm'+Ltrim(Str(m.i))) With amount For Left(Alltrim(a),1)="P" And batch_mth = m.i
Replace All ('rbon'+Ltrim(Str(m.i))) With amount For Left(Alltrim(a),1)="R" And batch_mth = m.i
* ????????? REPLACE ALL ('total'+Ltrim(Str(m.i))) WITH sum((prm+i)+(rbon+i)) FOR batch_mth = i
Endfor
However, I must admit, your code doesn't make sense to me. Maybe it would be better if you explained what you are trying to do and give some simple data with the result you expect (as code - you can use FAQ 50 on foxite to create code for data).

What is the best way to run N independent column updates in PostgreSQL? What is the best way to do it in the SQL spec?

I'm looking for a more efficient way to run many columns updates on the same table like this:
UPDATE TABLE table
SET col = regexp_replace( col, 'foo', 'bar' )
WHERE regexp_match( col, 'foo' );
Such that foo, and bar, will be a combination of 40 different regex-replaces. I doubt even 25% of the dataset needs to be updated at all, but what I'm wanting to know is it is possible to cleanly achieve the following in SQL.
A single pass update
A single match of the regex, triggers a single replace
Not running all possible regexp_replaces if only one matches
Not updating all columns if only one needs the update
Not updating a row if no column has changed
I'm also curious, I know in MySQL (bear with me)
UPDATE foo SET bar = 'baz'
Has an implicit WHERE bar != 'baz' clause
However, in PostgreSQL I know this doesn't exist: I think I could at least answer one of my questions if I knew how to skip a single row's update if the target columns weren't updated.
Something like
UPDATE TABLE table
SET col = *temp_var* = regexp_replace( col, 'foo', 'bar' )
WHERE col != *temp_var*
Do it in code. Open up a cursor, then: grab a row, run it through the 40 regular expressions, and if it changed, save it back. Repeat until the cursor doesn't give you any more rows.
Whether you do it that way or come up with the magical SQL expression, it's still going to be a row scan of the entire table, but the code will be much simpler.
Experimental Results
In response to criticism, I ran an experiment. I inserted 10,000 lines from a documentation file into a table with a serial primary key and a varchar column. Then I tested two ways to do the update. Method 1:
in a transaction:
opened up a cursor (select for update)
while reading 100 rows from the cursor returns any rows:
for each row:
for each regular expression:
do the gsub on the text column
update the row
This takes 1.16 seconds with a locally connected database.
Then the "big replace," a single mega-regex update:
update foo set t =
regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(regexp_replace(t,
E'\bcommit\b', E'COMMIT'),
E'\b9acf10762b5f3d3b1b33ea07792a936a25e45010\b',
E'9ACF10762B5F3D3B1B33EA07792A936A25E45010'),
E'\bAuthor:\b', E'AUTHOR:'),
E'\bCarl\b', E'CARL'), E'\bWorth\b',
E'WORTH'), E'\b\b',
E''), E'\bDate:\b',
E'DATE:'), E'\bMon\b', E'MON'),
E'\bOct\b', E'OCT'), E'\b26\b',
E'26'), E'\b04:53:13\b', E'04:53:13'),
E'\b2009\b', E'2009'), E'\b-0700\b',
E'-0700'), E'\bUpdate\b', E'UPDATE'),
E'\bversion\b', E'VERSION'),
E'\bto\b', E'TO'), E'\b2.9.1\b',
E'2.9.1'), E'\bcommit\b', E'COMMIT'),
E'\b61c89e56f361fa860f18985137d6bf53f48c16ac\b',
E'61C89E56F361FA860F18985137D6BF53F48C16AC'),
E'\bAuthor:\b', E'AUTHOR:'),
E'\bCarl\b', E'CARL'), E'\bWorth\b',
E'WORTH'), E'\b\b',
E''), E'\bDate:\b',
E'DATE:'), E'\bMon\b', E'MON'),
E'\bOct\b', E'OCT'), E'\b26\b',
E'26'), E'\b04:51:58\b', E'04:51:58'),
E'\b2009\b', E'2009'), E'\b-0700\b',
E'-0700'), E'\bNEWS:\b', E'NEWS:'),
E'\bAdd\b', E'ADD'), E'\bnotes\b',
E'NOTES'), E'\bfor\b', E'FOR'),
E'\bthe\b', E'THE'), E'\b2.9.1\b',
E'2.9.1'), E'\brelease.\b',
E'RELEASE.'), E'\bThanks\b',
E'THANKS'), E'\bto\b', E'TO'),
E'\beveryone\b', E'EVERYONE'),
E'\bfor\b', E'FOR')
The mega-regex update takes 0.94 seconds to update.
At 0.94 seconds compared to 1.16, it's true that the mega-regex update is faster, running in 81% of the time of doing it in code. It is not, however a lot faster. And ye Gods, look at that update statement. Do you want to write that, or try to figure out what went wrong when Postgres complains that you dropped a parenthesis somewhere?
Code
The code used was:
def stupid_regex_replace
sql = Select.new
sql.select('id')
sql.select('t')
sql.for_update
sql.from(TABLE_NAME)
Cursor.new('foo', sql, {}, #db) do |cursor|
until (rows = cursor.fetch(100)).empty?
for row in rows
for regex, replacement in regexes
row['t'] = row['t'].gsub(regex, replacement)
end
end
sql = Update.new(TABLE_NAME, #db)
sql.set('t', row['t'])
sql.where(['id = %s', row['id']])
sql.exec
end
end
end
I generated the regular expressions dynamically by taking words from the file; for each word "foo", its regular expression was "\bfoo\b" and its replacement string was "FOO" (the word uppercased). I used words from the file to make sure that replacements did happen. I made the test program spit out the regex's so you can see them. Each pair is a regex and the corresponding replacement string:
[[/\bcommit\b/, "COMMIT"],
[/\b9acf10762b5f3d3b1b33ea07792a936a25e45010\b/,
"9ACF10762B5F3D3B1B33EA07792A936A25E45010"],
[/\bAuthor:\b/, "AUTHOR:"],
[/\bCarl\b/, "CARL"],
[/\bWorth\b/, "WORTH"],
[/\b<cworth#cworth.org>\b/, "<CWORTH#CWORTH.ORG>"],
[/\bDate:\b/, "DATE:"],
[/\bMon\b/, "MON"],
[/\bOct\b/, "OCT"],
[/\b26\b/, "26"],
[/\b04:53:13\b/, "04:53:13"],
[/\b2009\b/, "2009"],
[/\b-0700\b/, "-0700"],
[/\bUpdate\b/, "UPDATE"],
[/\bversion\b/, "VERSION"],
[/\bto\b/, "TO"],
[/\b2.9.1\b/, "2.9.1"],
[/\bcommit\b/, "COMMIT"],
[/\b61c89e56f361fa860f18985137d6bf53f48c16ac\b/,
"61C89E56F361FA860F18985137D6BF53F48C16AC"],
[/\bAuthor:\b/, "AUTHOR:"],
[/\bCarl\b/, "CARL"],
[/\bWorth\b/, "WORTH"],
[/\b<cworth#cworth.org>\b/, "<CWORTH#CWORTH.ORG>"],
[/\bDate:\b/, "DATE:"],
[/\bMon\b/, "MON"],
[/\bOct\b/, "OCT"],
[/\b26\b/, "26"],
[/\b04:51:58\b/, "04:51:58"],
[/\b2009\b/, "2009"],
[/\b-0700\b/, "-0700"],
[/\bNEWS:\b/, "NEWS:"],
[/\bAdd\b/, "ADD"],
[/\bnotes\b/, "NOTES"],
[/\bfor\b/, "FOR"],
[/\bthe\b/, "THE"],
[/\b2.9.1\b/, "2.9.1"],
[/\brelease.\b/, "RELEASE."],
[/\bThanks\b/, "THANKS"],
[/\bto\b/, "TO"],
[/\beveryone\b/, "EVERYONE"],
[/\bfor\b/, "FOR"]]
If this were a hand-generated list of regex's, and not automatically generated, my question is still appropriate: Which would you rather have to create or maintain?
For the skip update, look at suppress_redundant_updates - see http://www.postgresql.org/docs/8.4/static/functions-trigger.html.
This is not necessarily a win - but it might well be in your case.
Or perhaps you can just add that implicit check as an explicit one?