Im running a workflow in powercenter that is constatnly getting an SQL1224N error.
This process execute a query against one table (POLIZA) with 800k rows, it retrieves the first 10k rows and then it start to execute to another table with 75M rows, at ths moment in DB2 an idle thread error appear but the PWC process still running retrieving the 75M rows, when it is completed (after 20 minutes) the errros comes up related with the first table:
[IBM][CLI Driver] SQL1224N A database agent could not be started to service a request, or was terminated as a result of a database system shutdown or a force command. SQLSTATE=55032
sqlstate = 40003
[IBM][CLI Driver] SQL1224N A database agent could not be started to service a request, or was terminated as a result of a database system shutdown or a force command. SQLSTATE=55032
sqlstate = 40003
Database driver error...
Function Name : Fetch
SQL Stmt : SELECT POLIZA.BSPOL_BSCODCIA, POLIZA.BSPOL_BSRAMOCO
FROM POLIZA
WHERE
EXA01.POLIZA.BSPOL_IDEMPR='0015' for read only with ur
Native error code = -1224
DB2 Fatal Error].
I have a similar process runing against the same 2 tables and it is woking fine where the only difference I can see is that the DB2 user is different.
Any idea how can i fix this?
Regards
The common causes for -1224 are:
Your instance or database has crashed, or
Something/somebody is forcing off your application (FORCE APPLICATION or equivalent)
As for the crash, I think you would know by know. This typically requires a database or instance restart. At any rate, can you please have a look into your DIAGPATH to check for any FODC* directories whose timestamp would match the timestamp of the -1224 errors?
As for the FORCE case, you should find some evidence of the -1224 in db2diag.log. Try searching for the decimal -1224, but also for its hex representation (0xFFFFFB38).
Problem happened in Development site. Following query crashes server with Invalid access at 0x20:
db['2015-04-13'].group({
key:{id:1},
cond:{created_at:{$gte: new Date('2015-04-13')}},
reduce:function (curr, resul) {},
initial: {}
})
Traceback:
mongod(_ZN2v88internal2OS8AllocateEmPmb+0xD7) [0x11dbe57]
mongod(_ZN2v88internal28CreateTranscendentalFunctionENS0_19TranscendentalCache4TypeE+0x26) [0x12799f6]
mongod(_ZN2v88internal22init_fast_sin_functionEv+0xE) [0x11dca1e]
mongod(_ZN2v88internal14POSIXPostSetUpEv+0x9) [0x11dd009]
mongod(_ZN2v88internal2V828InitializeOncePerProcessImplEv+0x3E) [0x12551de]
mongod(_ZN2v88internal12CallOnceImplEPlPFvPvES2_+0x52) [0x11c2c12]
mongod(_ZN2v88internal2V810InitializeEPNS0_12DeserializerE+0x11) [0x1255911]
mongod(_ZN2v86LockerC1EPNS_7IsolateE+0x61) [0x12597c1]
So far i know:
Problem occurs only when mongod runs as it's own user (mongod).
If mongod started as root on same data folder, query passes and return results. Number of documents in collection is fairly small (around 20k), but there is decent number of keys for each - 50 in average, and 300 at most, most of them Strings with very few BSONs. MongoDB version is 3.0.2, query was passed as though local client with same version as server, as though 2.4.0 Robomongo client on remote machine - error appears in both cases.
the following code leaves an empty dummy database. Is this system behavior intended?
mongodb is running --auth mode and the user is part of the readAnyDatabase Role.
import pymongo
print CORE_PROD_URL
mongo = pymongo.MongoClient(CORE_PROD_URL)
print mongo.database_names()
print mongo.dummy.test.count()
print mongo.database_names()
which gives:
mongodb://read_only_user:pw#localhost:27017
[u'admin', u'local']
0
[u'admin', u'local', u'dummy']
the same behaviour happens with find()
while
mongo.dummy.test.insert({‘foo’: ‘bar’})
throws an exception
OperationFailure: not authorized on new_db to execute command
This is a known bug, SERVER-11051. The database name will disappear from "database_names()" the next time you restart the server, but of course it will reappear next time you read from the "dummy" database.
I'm having an issue with mongodb 2.6.5 and grails 2.4.4 that I can't resolve. For the sake of isolating the problem I created a simple 2.4.4 grails app, installed the grails mongodb plugin (compile ":mongodb:3.0.2"), commented out the hibernate dependencies, added my mongodb datasource, and set up a simple domain class (com.nerds.Nerd). When I generate-all and then start the app and navigate to the NerdController CRUD page I get the following error every time:
MongoTimeoutException occurred when processing request: [GET] /MONGO/nerd/index
Timed out while waiting to connect after 10000 ms. Stacktrace follows:
com.mongodb.MongoTimeoutException: Timed out while waiting to connect after 10000 ms
I can access mongo via http using http://localhost:28017/
I have also tested manually adding data and querying from mongo. This all works fine.
In the debug log prior to the timeout it looks like GORM aquired a mongo session and then tried rolling back a transaction.
DatastoreTransactionManager:128 - Found thread-bound Session [org.grails.datastore.mapping.mongo.MongoSession#e47ee6] for Datastore transaction
DatastoreTransactionManager:128 - Creating new transaction with name [null]: PROPAGATION_REQUIRED,ISOLATION_DEFAULT,readOnly
DatastoreTransactionManager:128 - Initiating transaction rollback
DatastoreTransactionManager:128 - Rolling back Datastore transaction on Session [org.grails.datastore.mapping.mongo.MongoSession#e47ee6]
DatastoreTransactionManager:128 - Resuming suspended transaction after completion of inner transaction
Any insight would be helpful. Thanks
edit: The mongo datasource is pretty simple. I'm using the correct port.
From the mongo log:
014-11-18T13:10:13.388-0900 [initandlisten] MongoDB starting : pid=17275 port=27017 dbpath=/var/lib/mongodb 32-bit host=enterprise
from DataSource.groovy
grails { mongo { host = 'localhost' port = 27017 databaseName = 'mydb' } }
I'm fairly certain the issue was on the mongod side. I stopped the mongo daemon, put it into high verbose debug mode (using mongod -vvvv command), and when I tried to replicate the issue while watching the console output, the issue did not happen. I'm not entirely sure what the exact cause of the timeout was, but its not happening now. Thanks for the responses.
The question is as basic as it is simple... How do you log all queries in a "tail"able log file in mongodb?
I have tried:
setting the profiling level
setting the slow ms parameter starting
mongod with the -vv option
The /var/log/mongodb/mongodb.log keeps showing just the current number of active connections...
You can log all queries:
$ mongo
MongoDB shell version: 2.4.9
connecting to: test
> use myDb
switched to db myDb
> db.getProfilingLevel()
0
> db.setProfilingLevel(2)
{ "was" : 0, "slowms" : 1, "ok" : 1 }
> db.getProfilingLevel()
2
> db.system.profile.find().pretty()
Source: http://docs.mongodb.org/manual/reference/method/db.setProfilingLevel/
db.setProfilingLevel(2) means "log all operations".
I ended up solving this by starting mongod like this (hammered and ugly, yeah... but works for development environment):
mongod --profile=1 --slowms=1 &
This enables profiling and sets the threshold for "slow queries" as 1ms, causing all queries to be logged as "slow queries" to the file:
/var/log/mongodb/mongodb.log
Now I get continuous log outputs using the command:
tail -f /var/log/mongodb/mongodb.log
An example log:
Mon Mar 4 15:02:55 [conn1] query dendro.quads query: { graph: "u:http://example.org/people" } ntoreturn:0 ntoskip:0 nscanned:6 keyUpdates:0 locks(micros) r:73163 nreturned:6 reslen:9884 88ms
Because its google first answer ...
For version 3
$ mongo
MongoDB shell version: 3.0.2
connecting to: test
> use myDb
switched to db
> db.setLogLevel(1)
http://docs.mongodb.org/manual/reference/method/db.setLogLevel/
MongoDB has a sophisticated feature of profiling. The logging happens in system.profile collection. The logs can be seen from:
db.system.profile.find()
There are 3 logging levels (source):
Level 0 - the profiler is off, does not collect any data. mongod always writes operations longer than the slowOpThresholdMs threshold to its log. This is the default profiler level.
Level 1 - collects profiling data for slow operations only. By default slow operations are those slower than 100 milliseconds.
You can modify the threshold for “slow” operations with the slowOpThresholdMs runtime option or the setParameter command. See the Specify the Threshold for Slow Operations section for more information.
Level 2 - collects profiling data for all database operations.
To see what profiling level the database is running in, use
db.getProfilingLevel()
and to see the status
db.getProfilingStatus()
To change the profiling status, use the command
db.setProfilingLevel(level, milliseconds)
Where level refers to the profiling level and milliseconds is the ms of which duration the queries needs to be logged. To turn off the logging, use
db.setProfilingLevel(0)
The query to look in the system profile collection for all queries that took longer than one second, ordered by timestamp descending will be
db.system.profile.find( { millis : { $gt:1000 } } ).sort( { ts : -1 } )
I made a command line tool to activate the profiler activity and see the logs in a "tail"able way --> "mongotail":
$ mongotail MYDATABASE
2020-02-24 19:17:01.194 QUERY [Company] : {"_id": ObjectId("548b164144ae122dc430376b")}. 1 returned.
2020-02-24 19:17:01.195 QUERY [User] : {"_id": ObjectId("549048806b5d3db78cf6f654")}. 1 returned.
2020-02-24 19:17:01.196 UPDATE [Activation] : {"_id": "AB524"}, {"_id": "AB524", "code": "f2cbad0c"}. 1 updated.
2020-02-24 19:17:10.729 COUNT [User] : {"active": {"$exists": true}, "firstName": {"$regex": "mac"}}
...
But the more interesting feature (also like tail) is to see the changes in "real time" with the -f option, and occasionally filter the result with grep to find a particular operation.
See documentation and installation instructions in: https://github.com/mrsarm/mongotail
(also runnable from Docker, specially if you want to execute it from Windows https://hub.docker.com/r/mrsarm/mongotail)
if you want the queries to be logged to mongodb log file, you have to set both
the log level and the profiling, like for example:
db.setLogLevel(1)
db.setProfilingLevel(2)
(see https://docs.mongodb.com/manual/reference/method/db.setLogLevel)
Setting only the profiling would not have the queries logged to file, so you can only get it from
db.system.profile.find().pretty()
Once profiling level is set using db.setProfilingLevel(2).
The below command will print the last executed query.
You may change the limit(5) as well to see less/more queries.
$nin - will filter out profile and indexes queries
Also, use the query projection {'query':1} for only viewing query field
db.system.profile.find(
{
ns: {
$nin : ['meteor.system.profile','meteor.system.indexes']
}
}
).limit(5).sort( { ts : -1 } ).pretty()
Logs with only query projection
db.system.profile.find(
{
ns: {
$nin : ['meteor.system.profile','meteor.system.indexes']
}
},
{'query':1}
).limit(5).sort( { ts : -1 } ).pretty()
The profiler data is written to a collection in your DB, not to file. See http://docs.mongodb.org/manual/tutorial/manage-the-database-profiler/
I would recommend using 10gen's MMS service, and feed development profiler data there, where you can filter and sort it in the UI.
I think that while not elegant, the oplog could be partially used for this purpose: it logs all the writes - but not the reads...
You have to enable replicatoon, if I'm right. The information is from this answer from this question: How to listen for changes to a MongoDB collection?
Setting profilinglevel to 2 is another option to log all queries.
db.setProfilingLevel(2,-1)
This worked! it logged all query info in mongod log file
I recommend checking out mongosniff. This can tool can do everything you want and more. Especially it can help diagnose issues with larger scale mongo systems and how queries are being routed and where they are coming from since it works by listening to your network interface for all mongo related communications.
http://docs.mongodb.org/v2.2/reference/mongosniff/
I wrote a script that will print out the system.profile log in real time as queries come in. You need to enable logging first as stated in other answers. I needed this because I'm using Windows Subsystem for Linux, for which tail still doesn't work.
https://github.com/dtruel/mongo-live-logger
db.adminCommand( { getLog: "*" } )
Then
db.adminCommand( { getLog : "global" } )
This was asked a long time ago but this may still help someone:
MongoDB profiler logs all the queries in the capped collection system.profile. See this: database profiler
Start mongod instance with --profile=2 option that enables logging all queries
OR if mongod instances is already running, from mongoshell, run db.setProfilingLevel(2) after selecting database. (it can be verified by db.getProfilingLevel(), which should return 2)
After this, I have created a script which utilises mongodb's tailable cursor to tail this system.profile collection and write the entries in a file.
To view the logs I just need to tail it:tail -f ../logs/mongologs.txt.
This script can be started in background and it will log all the operation on the db in the file.
My code for tailable cursor for the system.profile collection is in nodejs; it logs all the operations along with queries happening in every collection of MyDb:
const MongoClient = require('mongodb').MongoClient;
const assert = require('assert');
const fs = require('fs');
const file = '../logs/mongologs'
// Connection URL
const url = 'mongodb://localhost:27017';
// Database Name
const dbName = 'MyDb';
//Mongodb connection
MongoClient.connect(url, function (err, client) {
assert.equal(null, err);
const db = client.db(dbName);
listen(db, {})
});
function listen(db, conditions) {
var filter = { ns: { $ne: 'MyDb.system.profile' } }; //filter for query
//e.g. if we need to log only insert queries, use {op:'insert'}
//e.g. if we need to log operation on only 'MyCollection' collection, use {ns: 'MyDb.MyCollection'}
//we can give a lot of filters, print and check the 'document' variable below
// set MongoDB cursor options
var cursorOptions = {
tailable: true,
awaitdata: true,
numberOfRetries: -1
};
// create stream and listen
var stream = db.collection('system.profile').find(filter, cursorOptions).stream();
// call the callback
stream.on('data', function (document) {
//this will run on every operation/query done on our database
//print 'document' to check the keys based on which we can filter
//delete data which we dont need in our log file
delete document.execStats;
delete document.keysExamined;
//-----
//-----
//append the log generated in our log file which can be tailed from command line
fs.appendFile(file, JSON.stringify(document) + '\n', function (err) {
if (err) (console.log('err'))
})
});
}
For tailable cursor in python using pymongo, refer the following code which filters for MyCollection and only insert operation:
import pymongo
import time
client = pymongo.MongoClient()
oplog = client.MyDb.system.profile
first = oplog.find().sort('$natural', pymongo.ASCENDING).limit(-1).next()
ts = first['ts']
while True:
cursor = oplog.find({'ts': {'$gt': ts}, 'ns': 'MyDb.MyCollection', 'op': 'insert'},
cursor_type=pymongo.CursorType.TAILABLE_AWAIT)
while cursor.alive:
for doc in cursor:
ts = doc['ts']
print(doc)
print('\n')
time.sleep(1)
Note: Tailable cursor only works with capped collections. It cannot be used to log operations on a collection directly, instead use filter: 'ns': 'MyDb.MyCollection'
Note: I understand that the above nodejs and python code may not be of much help for some. I have just provided the codes for reference.
Use this link to find documentation for tailable cursor in your languarge/driver choice Mongodb Drivers
Another feature that i have added after this logrotate.
Try out this package to tail all the queries (without oplog operations): https://www.npmjs.com/package/mongo-tail-queries
(Disclaimer: I wrote this package exactly for this need)