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author | Bryan Newbold <bnewbold@robocracy.org> | 2019-05-29 13:46:52 -0700 |
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committer | Bryan Newbold <bnewbold@robocracy.org> | 2019-05-29 13:46:52 -0700 |
commit | ca956fc8b686adc3198eff58bbc8e32e13f9ec47 (patch) | |
tree | 949010a4372043c8a0bc3f88f435b7a819fef52f /python/fatcat_tools/importers/common.py | |
parent | 86444ad33758563093c3614d2317af61eb825e7d (diff) | |
download | fatcat-ca956fc8b686adc3198eff58bbc8e32e13f9ec47.tar.gz fatcat-ca956fc8b686adc3198eff58bbc8e32e13f9ec47.zip |
faster LargeFile XML importer for PubMed
Diffstat (limited to 'python/fatcat_tools/importers/common.py')
-rw-r--r-- | python/fatcat_tools/importers/common.py | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/python/fatcat_tools/importers/common.py b/python/fatcat_tools/importers/common.py index dee60947..79425618 100644 --- a/python/fatcat_tools/importers/common.py +++ b/python/fatcat_tools/importers/common.py @@ -9,6 +9,8 @@ import itertools import subprocess import unicodedata from collections import Counter +import xml.etree.ElementTree as ET + import pykafka from bs4 import BeautifulSoup @@ -616,12 +618,59 @@ class Bs4XmlFilePusher(RecordPusher): soup = BeautifulSoup(self.xml_file, "xml") for record in soup.find_all(self.record_tag): self.importer.push_record(record) + record.decompose() counts = self.importer.finish() soup.decompose() print(counts) return counts +class Bs4XmlLargeFilePusher(RecordPusher): + """ + This is a variant of Bs4XmlFilePusher which parses large files + incrementally, instead of loading the whole thing in RAM first. + + The dominant source of RAM utilization at start-up is the large ISSN/ISSN-L + map. This can be confirmed in local development by using the small map in + ./tests/files/. + + Current implementation is weird/inefficient in that it re-parses with + BeautifulSoup (lxml) every article, but I didn't want to mangle or re-write + with a different BS back-end. + + Did at least casual testing and all of: record.decompose(), + soup.decompose(), element.clear(), root.clear() helped with memory usage. + With all of these, memory growth is very slow and can probably be explained + by inner container/release API lookup caches. + """ + + def __init__(self, importer, xml_file, record_tag, **kwargs): + self.importer = importer + self.xml_file = xml_file + self.record_tag = record_tag + + def run(self): + elem_iter = ET.iterparse(self.xml_file, ["start", "end"]) + i = 0 + root = None + for (event, element) in elem_iter: + if not root and event == "start": + root = element + continue + if not (element.tag == self.record_tag and event == "end"): + continue + soup = BeautifulSoup(ET.tostring(element), "xml") + for record in soup.find_all(self.record_tag): + self.importer.push_record(record) + record.decompose() + soup.decompose() + element.clear() + root.clear() + counts = self.importer.finish() + print(counts) + return counts + + class Bs4XmlFileListPusher(RecordPusher): def __init__(self, importer, list_file, record_tag, **kwargs): @@ -638,6 +687,7 @@ class Bs4XmlFileListPusher(RecordPusher): soup = BeautifulSoup(xml_file, "xml") for record in soup.find_all(self.record_tag): self.importer.push_record(record) + record.decompose() soup.decompose() counts = self.importer.finish() print(counts) |