我正在尝试通过iterparse()
(设计为)太大而无法放入内存的 XML 文档进行增量解析。我发现即使对文档进行无操作传递也会耗尽进程内存并导致我的系统开始交换。
期望xml.etree.ElementTree.iterparse()
在独立于 XML 文档大小的恒定内存中运行是错误的吗?如果是这样,对任意长的 XML 文档进行增量解析的推荐包是什么?如果不是,我的代码有问题吗?
这是代码:请注意,我仅请求“开始”事件(因此解析器在返回文档根元素的结束标记(在我的情况下为 <osm>)之前不会尝试缓冲所有正文元素。我明确表示del()
循环变量以强制它们被释放。
考虑到垃圾收集器可能没有机会运行,因为循环没有产生,我添加了对每百万次迭代gc.collect()
的 显式调用。time.sleep()
但这无济于事。
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import xml.etree.ElementTree as ET
import pprint
import gc
import time
import os
import psutil
def gcStats(myProc):
# return human readable gc.stats for 3 generations
extmem = myProc.memory_info_ex()
a = "extmem: rss {:12n}, vms {:12n}, shared{:12n}, text{:12n}, lib {:12n}, data{:12n}, dirty{:12n}".format(
extmem.rss, extmem.vms, extmem.shared, extmem.text, extmem.lib, extmem.data, extmem.dirty)
return a + "\tgc enabled {}, sumCount {:n}, lenGarbage {:n}".format( gc.isenabled(), sum(gc.get_count()), len(gc.garbage))
# the misbehaving code:
def count_tags(filename):
retVal = {}
iterCount = 0
sleepTime = 2.0
myProc = psutil.Process()
print("Starting: gc.isenabled() == {}\n{}".format(gc.isenabled(), gcStats( myProc)))
for event, element in ET.iterparse(filename, ('start',)):
assert event == 'start'
if iterCount % 1000000 == 0:
print('{} iterations, sleeping {} sec...'.format(iterCount, sleepTime))
time.sleep( sleepTime)
print('{}\nNow starting gc pass...'.format( gcStats( myProc)))
gcr = gc.collect()
print('gc returned {}'.format( gcr))
iterCount += 1
del element
del event
return retVal
if __name__ == "__main__":
tags = count_tags('/home/bobhy/MOOC_Data/' + 'chicago.osm')
这是文档的示例。它是格式良好的 OSM 数据。
<?xml version='1.0' encoding='UTF-8'?>
<osm version="0.6" generator="Osmosis 0.43.1">
<bounds minlon="-88.50500" minlat="41.33900" maxlon="-87.06600" maxlat="42.29700" origin="http://www.openstreetmap.org/api/0.6"/>
<node id="219850" version="54" timestamp="2011-04-06T05:17:15Z" uid="207745" user="NE2" changeset="7781188" lat="41.7585879" lon="-87.9101245">
<tag k="exit_to" v="Joliet Road"/>
<tag k="highway" v="motorway_junction"/>
<tag k="ref" v="276C"/>
</node>
<node id="219851" version="47" timestamp="2011-04-06T05:18:47Z" uid="207745" user="NE2" changeset="7781188" lat="41.7593116" lon="-87.9076432">
<tag k="exit_to" v="North I-294 ; Tri-State Tollway; Wisconsin"/>
<tag k="highway" v="motorway_junction"/>
<tag k="ref" v="277A"/>
</node>
<node id="219871" version="1" timestamp="2006-04-15T00:34:03Z" uid="229" user="LA2" changeset="3725" lat="41.932278" lon="-87.9179332"/>
<node id="700724" version="14" timestamp="2009-04-13T11:21:51Z" uid="18480" user="nickvet419" changeset="485405" lat="41.7120272" lon="-88.0158606"/>
. . . 等等 1.8 GB 。. .
<relation id="3366425" version="1" timestamp="2013-12-07T21:37:35Z" uid="239998" user="Sundance" changeset="19330301">
<member type="way" ref="250651738" role="outer"/>
<member type="way" ref="250651748" role="inner"/>
<tag k="type" v="multipolygon"/>
</relation>
<relation id="3378994" version="1" timestamp="2013-12-14T22:24:26Z" uid="371121" user="AndrewSnow" changeset="19456337">
<member type="way" ref="251850076" role="outer"/>
<member type="way" ref="251850073" role="inner"/>
<member type="way" ref="251850074" role="inner"/>
<member type="way" ref="251850075" role="inner"/>
<tag k="type" v="multipolygon"/>
</relation>
<relation id="3382796" version="1" timestamp="2013-12-17T03:21:18Z" uid="567034" user="Umbugbene" changeset="19492258">
<member type="way" ref="252225400" role="outer"/>
<member type="way" ref="252225404" role="inner"/>
<tag k="type" v="multipolygon"/>
</relation>
</osm>
这是输出:
Starting: gc.isenabled() == True
extmem: rss 9097216, vms 37199872, shared 3145728, text 3301376, lib 0, data 5820416, dirty 0 gc enabled True, sumCount 410, lenGarbage 0
0 iterations, sleeping 2.0 sec...
extmem: rss 9097216, vms 37335040, shared 3145728, text 3301376, lib 0, data 5955584, dirty 0 gc enabled True, sumCount 87, lenGarbage 0
Now starting gc pass...
gc returned 0
1000000 iterations, sleeping 2.0 sec...
extmem: rss 1234309120, vms 1262891008, shared 3280896, text 3301376, lib 0, data 1231511552, dirty 0 gc enabled True, sumCount 372, lenGarbage 0
Now starting gc pass...
gc returned 0
2000000 iterations, sleeping 2.0 sec...
extmem: rss 2495262720, vms 2524073984, shared 3280896, text 3301376, lib 0, data 2492694528, dirty 0 gc enabled True, sumCount 37, lenGarbage 0
Now starting gc pass...
gc returned 0
3000000 iterations, sleeping 2.0 sec...
extmem: rss 3781947392, vms 3812208640, shared 3280896, text 3301376, lib 0, data 3780829184, dirty 0 gc enabled True, sumCount 262, lenGarbage 0
Now starting gc pass...
gc returned 0
4000000 iterations, sleeping 2.0 sec...
extmem: rss 5067837440, vms 5096787968, shared 3280896, text 3301376, lib 0, data 5065408512, dirty 0 gc enabled True, sumCount 241, lenGarbage 0
Now starting gc pass...
gc returned 0
5000000 iterations, sleeping 2.0 sec...
extmem: rss 6345998336, vms 6375632896, shared 3063808, text 3301376, lib 0, data 6344253440, dirty 0 gc enabled True, sumCount 333, lenGarbage 0
Now starting gc pass...
gc returned 0
6000000 iterations, sleeping 2.0 sec...
extmem: rss 7266795520, vms 7665147904, shared 1060864, text 3301376, lib 0, data 7633768448, dirty 0 gc enabled True, sumCount 877, lenGarbage 0
Now starting gc pass...
我解释输出以显示进程虚拟内存以大约 1 000 B / 迭代的速度增长(即,每个解析的 XML 标记)。我认为垃圾收集统计数据没有显示分配对象的单调增加,所以我不知道内存增长来自哪里。确实启用了垃圾收集。