/usr/share/doc/python-tables-doc/bench/stress-test3.py is in python-tables-doc 3.3.0-5.
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"""This script allows to create arbitrarily large files with the desired
combination of groups, tables per group and rows per table.
Issue "python stress-test3.py" without parameters for a help on usage.
"""
from __future__ import print_function
import gc
import sys
import time
from tables import *
class Test(IsDescription):
ngroup = Int32Col(pos=1)
ntable = Int32Col(pos=2)
nrow = Int32Col(pos=3)
string = StringCol(500, pos=4)
def createFileArr(filename, ngroups, ntables, nrows):
# First, create the groups
# Open a file in "w"rite mode
fileh = open_file(filename, mode="w", title="PyTables Stress Test")
for k in range(ngroups):
# Create the group
fileh.create_group("/", 'group%04d' % k, "Group %d" % k)
fileh.close()
return (0, 4)
def readFileArr(filename, ngroups, recsize, verbose):
rowsread = 0
for ngroup in range(ngroups):
fileh = open_file(filename, mode="r", root_uep='group%04d' % ngroup)
# Get the group
group = fileh.root
ntable = 0
if verbose:
print("Group ==>", group)
for table in fileh.list_nodes(group, 'Array'):
if verbose > 1:
print("Array ==>", table)
print("Rows in", table._v_pathname, ":", table.shape)
arr = table.read()
rowsread += len(arr)
ntable += 1
# Close the file (eventually destroy the extended type)
fileh.close()
return (rowsread, 4, 0)
def createFile(filename, ngroups, ntables, nrows, complevel, complib, recsize):
# First, create the groups
# Open a file in "w"rite mode
fileh = open_file(filename, mode="w", title="PyTables Stress Test")
for k in range(ngroups):
# Create the group
group = fileh.create_group("/", 'group%04d' % k, "Group %d" % k)
fileh.close()
# Now, create the tables
rowswritten = 0
for k in range(ngroups):
fileh = open_file(filename, mode="a", root_uep='group%04d' % k)
# Get the group
group = fileh.root
for j in range(ntables):
# Create a table
table = fileh.create_table(group, 'table%04d' % j, Test,
'Table%04d' % j,
Filters(complevel, complib), nrows)
rowsize = table.rowsize
# Get the row object associated with the new table
row = table.row
# Fill the table
for i in range(nrows):
row['ngroup'] = k
row['ntable'] = j
row['nrow'] = i
row.append()
rowswritten += nrows
table.flush()
# Close the file
fileh.close()
return (rowswritten, rowsize)
def readFile(filename, ngroups, recsize, verbose):
# Open the HDF5 file in read-only mode
rowsread = 0
for ngroup in range(ngroups):
fileh = open_file(filename, mode="r", root_uep='group%04d' % ngroup)
# Get the group
group = fileh.root
ntable = 0
if verbose:
print("Group ==>", group)
for table in fileh.list_nodes(group, 'Table'):
rowsize = table.rowsize
buffersize = table.rowsize * table.nrowsinbuf
if verbose > 1:
print("Table ==>", table)
print("Max rows in buf:", table.nrowsinbuf)
print("Rows in", table._v_pathname, ":", table.nrows)
print("Buffersize:", table.rowsize * table.nrowsinbuf)
print("MaxTuples:", table.nrowsinbuf)
nrow = 0
for row in table:
try:
assert row["ngroup"] == ngroup
assert row["ntable"] == ntable
assert row["nrow"] == nrow
except:
print("Error in group: %d, table: %d, row: %d" %
(ngroup, ntable, nrow))
print("Record ==>", row)
nrow += 1
assert nrow == table.nrows
rowsread += table.nrows
ntable += 1
# Close the file (eventually destroy the extended type)
fileh.close()
return (rowsread, rowsize, buffersize)
def dump_garbage():
"""show us waht the garbage is about."""
# Force collection
print("\nGARBAGE:")
gc.collect()
print("\nGARBAGE OBJECTS:")
for x in gc.garbage:
s = str(x)
#if len(s) > 80: s = s[:77] + "..."
print(type(x), "\n ", s)
if __name__ == "__main__":
import getopt
try:
import psyco
psyco_imported = 1
except:
psyco_imported = 0
usage = """usage: %s [-d debug] [-v level] [-p] [-r] [-w] [-l complib] [-c complevel] [-g ngroups] [-t ntables] [-i nrows] file
-d debugging level
-v verbosity level
-p use "psyco" if available
-a use Array objects instead of Table
-r only read test
-w only write test
-l sets the compression library to be used ("zlib", "lzo", "ucl", "bzip2")
-c sets a compression level (do not set it or 0 for no compression)
-g number of groups hanging from "/"
-t number of tables per group
-i number of rows per table
"""
try:
opts, pargs = getopt.getopt(sys.argv[1:], 'd:v:parwl:c:g:t:i:')
except:
sys.stderr.write(usage)
sys.exit(0)
# if we pass too much parameters, abort
if len(pargs) != 1:
sys.stderr.write(usage)
sys.exit(0)
# default options
ngroups = 5
ntables = 5
nrows = 100
verbose = 0
debug = 0
recsize = "medium"
testread = 1
testwrite = 1
usepsyco = 0
usearray = 0
complevel = 0
complib = "zlib"
# Get the options
for option in opts:
if option[0] == '-d':
debug = int(option[1])
if option[0] == '-v':
verbose = int(option[1])
if option[0] == '-p':
usepsyco = 1
if option[0] == '-a':
usearray = 1
elif option[0] == '-r':
testwrite = 0
elif option[0] == '-w':
testread = 0
elif option[0] == '-l':
complib = option[1]
elif option[0] == '-c':
complevel = int(option[1])
elif option[0] == '-g':
ngroups = int(option[1])
elif option[0] == '-t':
ntables = int(option[1])
elif option[0] == '-i':
nrows = int(option[1])
if debug:
gc.enable()
gc.set_debug(gc.DEBUG_LEAK)
# Catch the hdf5 file passed as the last argument
file = pargs[0]
print("Compression level:", complevel)
if complevel > 0:
print("Compression library:", complib)
if testwrite:
t1 = time.time()
cpu1 = time.clock()
if psyco_imported and usepsyco:
psyco.bind(createFile)
if usearray:
(rowsw, rowsz) = createFileArr(file, ngroups, ntables, nrows)
else:
(rowsw, rowsz) = createFile(file, ngroups, ntables, nrows,
complevel, complib, recsize)
t2 = time.time()
cpu2 = time.clock()
tapprows = round(t2 - t1, 3)
cpuapprows = round(cpu2 - cpu1, 3)
tpercent = int(round(cpuapprows / tapprows, 2) * 100)
print("Rows written:", rowsw, " Row size:", rowsz)
print("Time writing rows: %s s (real) %s s (cpu) %s%%" %
(tapprows, cpuapprows, tpercent))
print("Write rows/sec: ", int(rowsw / float(tapprows)))
print("Write KB/s :", int(rowsw * rowsz / (tapprows * 1024)))
if testread:
t1 = time.time()
cpu1 = time.clock()
if psyco_imported and usepsyco:
psyco.bind(readFile)
if usearray:
(rowsr, rowsz, bufsz) = readFileArr(file,
ngroups, recsize, verbose)
else:
(rowsr, rowsz, bufsz) = readFile(file, ngroups, recsize, verbose)
t2 = time.time()
cpu2 = time.clock()
treadrows = round(t2 - t1, 3)
cpureadrows = round(cpu2 - cpu1, 3)
tpercent = int(round(cpureadrows / treadrows, 2) * 100)
print("Rows read:", rowsr, " Row size:", rowsz, "Buf size:", bufsz)
print("Time reading rows: %s s (real) %s s (cpu) %s%%" %
(treadrows, cpureadrows, tpercent))
print("Read rows/sec: ", int(rowsr / float(treadrows)))
print("Read KB/s :", int(rowsr * rowsz / (treadrows * 1024)))
# Show the dirt
if debug > 1:
dump_garbage()
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