It seems there is a limit to the condition sytax when using readWhere
I get various exceptions when passing increasing number of terms
is this some kind of hard coded limit?
is there a way to pre-compile this and test for it? (e.g. when I am actually
creating the condition)
- my alternative is simple to drop that part of the condition and filter out
after
thanks,
Jeff
ans -> [n->2 ,len_selector->58 ] -->
(399,)
ans -> [n->10 ,len_selector->234 ] -->
(999,)
ans -> [n->100 ,len_selector->2304 ] -->
(999,)
ans -> [n->200 ,len_selector->4704 ] -->
(999,)
ans -> [n->254 ,len_selector->6000 ] -->
chr() arg not in range(256)
ans -> [n->255 ,len_selector->6024 ] -->
chr() arg not in range(256)
ans -> [n->300 ,len_selector->7104 ] -->
chr() arg not in range(256)
ans -> [n->400 ,len_selector->9504 ] -->
maximum recursion depth exceeded while calling a Python object
ans -> [n->500 ,len_selector->11904 ] -->
maximum recursion depth exceeded while calling a Python object
------------ script to reproduce --------
#!/usr/local/bin/python
import tables
import numpy as np
import datetime, time
test_file = 'test_select.h5'
handle = tables.openFile(test_file, "w")
node = handle.createGroup(handle.root, 'test')
table = handle.createTable(node, 'table', dict(
index = tables.Int64Col(),
column = tables.StringCol(25),
values = tables.FloatCol(shape=(3)),
))
# add data
r = table.row
for i in xrange(1000):
r['index'] = i
r['column'] = ("str-%d" % (i % 5))
r['values'] = np.arange(3)
r.append()
table.flush()
handle.close()
def read_for(n):
handle = tables.openFile(test_file,"r")
selector = "(index >= 1) & %s" % '(' + ' | '.join([ "(column == 'str-%s')"
% v for v in range(n) ]) + ')'
#print "selector -> [%s] --> %s" % (n,selector)
try:
ans = handle.root.test.table.readWhere(selector)
print "ans -> [n->%-20.20s,len_selector->%-20.20s] --> %s" %
(n,len(selector),ans.shape)
except (Exception), detail:
print "ans -> [n->%-20.20s,len_selector->%-20.20s] --> %s" %
(n,len(selector),str(detail))
handle.close()
for n in [ 2, 10, 100, 200, 254, 255, 300, 400, 500 ]:
read_for(n)
------------------------------------------------------------------------------
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