MEMORY ,CPU USING TOP

Hi
I want to know about the memory usage,cpu usage and i want to check is there any io contention
i used top command and got the following output.
load averages: 6.31, 5.71, 5.45 03:00:10
206 processes: 199 sleeping, 7 on cpu
CPU states: 47.5% idle, 49.7% user, 2.8% kernel, 0.0% iowait, 0.0% swap
Memory: 128G real, 3218M free, 55G swap in use, 72G swap free
PID USERNAME LWP PRI NICE SIZE RES STATE TIME CPU COMMAND
21947 oracle 2 0 0 0K 0K cpu/52 6:34 8.29% oracle
8816 oracle 2 10 0 0K 0K cpu/49 629:43 8.15% oracle
8087 oracle 2 0 0 0K 0K cpu/50 578:07 8.13% oracle
16828 oracle 2 0 0 0K 0K cpu/12 721:16 8.11% oracle
9253 oracle 2 0 0 0K 0K cpu/55 677:58 8.11% oracle
5122 oracle 2 30 0 0K 0K cpu/51 161:09 3.77% oracle
13254 oracle 2 42 0 0K 0K sleep 5:11 1.50% oracle
11499 oracle 2 52 0 0K 0K sleep 3:36 1.25% oracle
12759 oracle 2 33 0 0K 0K sleep 3:37 1.24% oracle
19578 oracle 2 59 0 0K 0K sleep 0:08 0.70% oracle
23188 oracle 2 59 0 0K 0K sleep 0:03 0.55% oracle
23190 oracle 2 59 0 0K 0K sleep 0:29 0.50% oracle
24789 oracle 2 59 0 0K 0K sleep 0:02 0.49% oracle
22434 oracle 2 59 0 0K 0K sleep 0:02 0.48% oracle
21484 oracle 2 59 0 0K 0K sleep 0:04 0.45% oracle
can anyone please help me to interpret the above?
Thx

Hi ora,
the top output don't tell me diddly-squat except that your load looks high and it looks like your swap might be an issue (but it could have been just pasted badly).
What is your problem... Is your database performance slow? Then use something like an AWR report to track the issue.
Is your OS performance bad? Then preferably ask your sysadmin to track the issue, but you can use commands like iostat, sar etc. to track contention on the OS.
You can look at /proc/meminfo for more info on memory.
I will say a good starting point will be to give us more info, Oracle and OS version and state your problem clearly.
Regards

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Hello,
I use the concurrent data store in my python application and I'm noticing that
the system memory usage increases and is never freed when the application
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##########BEGIN PYTHON CODE##################
"""TestCases for multi-threaded access to a DB.
#import gc
#gc.enable()
#gc.set_debug(gc.DEBUG_LEAK)
import os
import sys
import time
import errno
import shutil
import tempfile
from pprint import pprint
from random import random
try:
 True, False
except NameError:
 True = 1
 False = 0
DASH = '-'
try:
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 have_threads = True
except ImportError:
 have_threads = False
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verbose = 1
from bsddb import db, dbutils
class BaseThreadedTestCase(unittest.TestCase):
 dbtype = db.DB_UNKNOWN # must be set in derived class
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 dbsetflags = 0
 envflags = 0
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 dbutils._deadlock_VerboseFile = sys.stdout
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 self.homeDir = homeDir
 try:
 os.mkdir(homeDir)
 except OSError, e:
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 self.setEnvOpts()
 self.env.open(homeDir, self.envflags | db.DB_CREATE)
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 self.d.set_flags(self.dbsetflags)
 self.d.open(self.filename, self.dbtype, self.dbopenflags|db.DB_CREATE)
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 self.env.close()
 del self.d
 del self.env
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 #print "\nGARBAGE OBJECTS:"
 #for x in gc.garbage:
 # s = str(x)
 # print type(x),"\n ", s
 def setEnvOpts(self):
 pass
 def makeData(self, key):
 return DASH.join([key] * 5)
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 dbopenflags = db.DB_THREAD
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 readers = 0 # derived class should set
 writers = 0
 records = 1000
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 if verbose:
 print '\n', '-=' * 30
 print "Running %s.test01_1WriterMultiReaders..." % \
 self.__class__.__name__
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 for x in range(self.writers):
 wt = Thread(target = self.writerThread,
 args = (self.d, self.records, x),
 name = 'writer %d' % x,
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 for x in range(self.readers):
 rt = Thread(target = self.readerThread,
 args = (self.d, x),
 name = 'reader %d' % x,
 )#verbose = verbose)
 threads.append(rt)
 for t in threads:
 t.start()
 for t in threads:
 t.join()
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 #time.sleep(0.01 * writerNum + 0.01)
 name = currentThread().getName()
 start = howMany * writerNum
 stop = howMany * (writerNum + 1) - 1
 if verbose:
 print "%s: creating records %d - %d" % (name, start, stop)
 for x in range(start, stop):
 key = '%04d' % x
 #dbutils.DeadlockWrap(d.put, key, self.makeData(key),
 # max_retries=12)
 d.put(key, self.makeData(key))
 if verbose and x % 100 == 0:
 print "%s: records %d - %d finished" % (name, start, x)
 if verbose:
 print "%s: finished creating records" % name
## # Each write-cursor will be exclusive, the only one that can update the DB...
## if verbose: print "%s: deleting a few records" % name
## c = d.cursor(flags = db.DB_WRITECURSOR)
## for x in range(10):
## key = int(random() * howMany) + start
## key = '%04d' % key
## if d.has_key(key):
## c.set(key)
## c.delete()
## c.close()
 if verbose:
 print "%s: thread finished" % name
 d.sync()
 del d
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 time.sleep(0.01 * readerNum)
 name = currentThread().getName()
 for loop in range(5):
 c = d.cursor()
 count = 0
 rec = c.first()
 while rec:
 count += 1
 key, data = rec
 self.assertEqual(self.makeData(key), data)
 rec = c.next()
 if verbose:
 print "%s: found %d records" % (name, count)
 c.close()
 time.sleep(0.05)
 if verbose:
 print "%s: thread finished" % name
 del d
 def setEnvOpts(self):
 #print "Setting cache size:", self.env.set_cachesize(0, 2000)
 pass
class BTreeConcurrentDataStore(ConcurrentDataStoreBase):
 dbtype = db.DB_BTREE
 writers = 10
 readers = 100
 records = 100000
def test_suite():
 suite = unittest.TestSuite()
 if have_threads:
 suite.addTest(unittest.makeSuite(BTreeConcurrentDataStore))
 else:
 print "Threads not available, skipping thread tests."
 return suite
if __name__ == '__main__':
 unittest.main(defaultTest='test_suite')
 #print "\nGARBAGE:"
 #gc.collect()
 #print "\nGARBAGE OBJECTS:"
 #for x in gc.garbage:
 # s = str(x)
 # print type(x),"\n ", s
##########END PYTHON CODE##################Using the linux command 'top' prior to and during the execution of
the python script above, I noticed that a considerable amount of memory
is used up and never reclaimed when it ends.If you delete the db_home,
however, the memory is reclaimed.
Am I conjuring up the bsddb concurrent db store incorrectly somehow?
I'm using python 2.5.1 and the builtin bsddb module.
Thanks,
Gerald
Message was edited by:
user590005
Message was edited by:
user590005

I think I am seeing what you are reporing, but I need to check further into
the reason for this.
Running your program and monitoring with Top/vmstat before/after the test, and
after deleting db_home is:
BEFORE RUNNING PYTHON TEST:
++++++++++++++++++++++++++
top - 17:00:17 up 7:00, 6 users, load average: 0.07, 0.38, 0.45
Tasks: 111 total, 1 running, 109 sleeping, 0 stopped, 1 zombie
Cpu(s): 3.6% us, 0.7% sy, 0.0% ni, 95.5% id, 0.0% wa, 0.2% hi, 0.0% si
Mem: 1545196k total, 1407100k used, 138096k freeTerminal, 20700k buffers
Swap: 2040212k total, 168k used, 2040044k free, 935936k cached
[swhitman@swhitman-lnx python]$ vmstat
procs -----------memory---------- ---swap-- -----io---- system ----cpu----
r b swpd free buff cache si so bi bo in cs us sy id wa
1 0 160 247096 20860 833604 0 0 31 22 527 675 7 1 91 1
AFTER RUNNING PYTHON TEST:
++++++++++++++++++++++++++
top - 17:02:00 up 7:02, 6 users, load average: 2.58, 1.36, 0.80
Tasks: 111 total, 1 running, 109 sleeping, 0 stopped, 1 zombie
Cpu(s): 3.7% us, 0.5% sy, 0.0% ni, 95.8% id, 0.0% wa, 0.0% hi, 0.0% si
Mem: 1545196k total, 1508156k used, 37040k free, 20948k buffers
Swap: 2040212k total, 168k used, 2040044k free, 1035788k cached
[swhitman@swhitman-lnx python]$ vmstat
procs -----------memory---------- ---swap-- -----io---- system ----cpu----
r b swpd free buff cache si so bi bo in cs us sy id wa
0 0 160 143312 21120 935784 0 0 31 25 527 719 7 1 91 1
AFTER RUNNING PYTHON TEST & DB_HOME IS DELETED:
++++++++++++++++++++++++++++++++++++++++++++++
But I think DB_ENV->close
top - 17:02:48 up 7:02, 6 users, load average: 1.22, 1.17, 0.76
Tasks: 111 total, 1 running, 109 sleeping, 0 stopped, 1 zombie
Cpu(s): 8.8% us, 0.5% sy, 0.0% ni, 90.5% id, 0.0% wa, 0.2% hi, 0.0% si
Mem: 1545196k total, 1405236k used, 139960k free, 21044k buffers
Swap: 2040212k total, 168k used, 2040044k free, 934032k cached
[swhitman@swhitman-lnx python]$ vmstat
procs -----------memory---------- ---swap-- -----io---- system ----cpu----
r b swpd free buff cache si so bi bo in cs us sy id wa
1 0 160 246208 21132 833852 0 0 31 25 527 719 7 1 91 1
So the Top/vmstat Memory Usage Summary is:
before test after test after rm db_home/*
Top 1407100k 1508156k 1405236k
mem used
vmstat
free/cache 247096/833604 143312/935784 246208/833852

Using top command

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There is as such no fixed value for size each process running on the system is allocated certain amount of vitrual address space in memory for its execution which is based on the algorithm "no of bits in ur processor."
SO the memory usage what u see is perticular to that process in it's given address space in memory which would vary from process to process depending on the tasks the process handles.
These commands give an in depth activity of ur system ,regarding the paging swaping idle process
#vmstat
#sar
#iostat
#uptime
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How to get the size of physical memory by using system call ?

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r b w swap free re mf pi po fr de sr s0 -- -- -- in sy cs us sy id
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Hi,
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