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Run in order:
- ISSN
- ORCID
- Crossref
- Manifest
Lots of trouble with encoding; always `export LC_ALL=C.UTF-8`
Start off with:
sudo su webcrawl
cd /srv/fatcat/src/python
export LC_ALL=C.UTF-8
pipenv shell
export LC_ALL=C.UTF-8
## Data Sources
Download the following; uncompress the sqlite file, but **do not** uncompress
the others:
cd /srv/fatcat/datasets
wget https://archive.org/download/crossref_doi_dump_201809/crossref-works.2018-09-05.json.xz
wget https://archive.org/download/ia_papers_manifest_2018-01-25/index/idents_files_urls.sqlite.gz
wget https://archive.org/download/ia_journal_metadata_explore_2018-04-05/journal_extra_metadata.csv
wget https://archive.org/download/issn_issnl_mappings/20180216.ISSN-to-ISSN-L.txt
wget https://archive.org/download/orcid-dump-2017/public_profiles_1_2_json.all.json.gz
wget https://archive.org/download/ia_journal_pid_map_munge_20180908/release_ids.ia_munge_20180908.sqlite3.gz
wget https://archive.org/download/ia_test_paper_matches/2018-08-27-2352.17-matchcrossref.insertable.json.gz
wget https://archive.org/download/ia_papers_manifest_2018-01-25_matched/ia_papers_manifest_2018-01-25.matched.json.gz
gunzip public_profiles_1_2_json.all.json.gz
## Journal Metadata
From JSON file:
# See "start off with" command above
time ./fatcat_import.py journal-metadata /srv/fatcat/datasets/journal_metadata.json
Usually a couple minutes at most on fast production machine.
## ORCID
Usually tens of minutes on fast production machine.
time parallel --bar --pipepart -j8 -a /srv/fatcat/datasets/public_profiles_1_2_json.all.json ./fatcat_import.py orcid -
## Crossref
Usually 24 hours or so on fast production machine.
# NOTE: `--extid-map-file` was used during initial import, but is now deprecated
time xzcat /srv/fatcat/datasets/crossref-works.2018-09-05.json.xz | time parallel -j20 --round-robin --pipe ./fatcat_import.py crossref - /srv/fatcat/datasets/ISSN-to-ISSN-L.txt --extid-map-file /srv/fatcat/datasets/release_ids.ia_munge_20180908.sqlite3
## JALC
First import a random subset single threaded to create (most) containers. On a
fast machine, this takes a couple minutes.
# NOTE: `--extid-map-file` was used during initial import, but is now deprecated
time ./fatcat_import.py jalc /srv/fatcat/datasets/JALC-LOD-20180907.sample10k.rdf /srv/fatcat/datasets/ISSN-to-ISSN-L.txt --extid-map-file /srv/fatcat/datasets/release_ids.ia_munge_20180908.sqlite3
Then, in parallel:
zcat /srv/fatcat/datasets/JALC-LOD-20180907.gz | pv -l | time parallel -j20 --round-robin --pipe ./fatcat_import.py jalc - /srv/fatcat/datasets/ISSN-to-ISSN-L.txt --extid-map-file /srv/fatcat/datasets/release_ids.ia_munge_20180908.sqlite3
## JSTOR
Looks like:
fd . /data/jstor/metadata/ | time parallel -j20 --round-robin --pipe ./fatcat_import.py jstor - /data/issn/ISSN-to-ISSN-L.txt
## arXiv
Single file:
./fatcat_import.py arxiv /srv/fatcat/datasets/arxiv_raw_oai_snapshot_2019-05-22/2007-12-31-00000001.xml
Bulk (one file per process):
fd '.xml$' /srv/fatcat/datasets/arxiv_raw_oai_snapshot_2019-05-22/ | parallel -j15 ./fatcat_import.py arxiv {}
## PubMed
Run single:
time ./fatcat_import.py pubmed /srv/fatcat/datasets/pubmed_medline_baseline_2019/pubmed19n0400.xml /srv/fatcat/datasets/ISSN-to-ISSN-L.txt
real 13m21.756s
user 9m10.720s
sys 0m14.100s
Bulk:
fd '.xml$' /srv/fatcat/datasets/pubmed_medline_baseline_2019 | time parallel -j16 ./fatcat_import.py pubmed {} /srv/fatcat/datasets/ISSN-to-ISSN-L.txt
## Matched
These each take 2-4 hours:
# No file update for the first import...
time zcat /srv/fatcat/datasets/ia_papers_manifest_2018-01-25.matched.json.gz | pv -l | time parallel -j12 --round-robin --pipe ./fatcat_import.py matched --no-file-updates -
# ... but do on the second
zcat /srv/fatcat/datasets/2018-08-27-2352.17-matchcrossref.insertable.json.gz | pv -l | time parallel -j12 --round-robin --pipe ./fatcat_import.py matched -
# GROBID extracted (release+file)
time zcat /srv/fatcat/datasets/2018-09-23-0405.30-dumpgrobidmetainsertable.longtail_join.filtered.tsv.gz | pv -l | time parallel -j12 --round-robin --pipe ./fatcat_import.py grobid-metadata -
## Arabesque Matches
Prep JSON files from sqlite (for parallel import):
~/arabesque/arabesque.py dump_json s2_doi.sqlite --only-identifier-hits | pv -l | gzip > s2_doi.json.gz
Run import in parallel:
# NOTE: `--extid-map-file` was used during initial import, but is now deprecated
export FATCAT_AUTH_WORKER_CRAWL=...
zcat /srv/fatcat/datasets/s2_doi.json.gz | pv -l | time parallel -j12 --round-robin --pipe ./fatcat_import.py arabesque --json-file - --extid-type doi --crawl-id DIRECT-OA-CRAWL-2019 --no-require-grobid
## Other Matched
export FATCAT_EDITGROUP_DESCRIPTION="File/DOI matching to user-uploaded pre-1923 and pre-1909 paper corpus on archive.org"
export FATCAT_API_AUTH_TOKEN=... (FATCAT_AUTH_WORKER_ARCHIVE_ORG)
zcat /srv/fatcat/datasets/crossref-pre-1923-scholarly-works.matched.json.gz | time parallel -j12 --round-robin --pipe ./fatcat_import.py matched - --default-mime 'application/pdf'
## DOAJ
Takes a few hours.
export FATCAT_API_AUTH_TOKEN=... (FATCAT_AUTH_WORKER_DOAJ)
zcat /srv/fatcat/datasets/doaj_article_data_2020-11-13_all.json.gz | pv -l | parallel -j12 --round-robin --pipe ./fatcat_import.py doaj-article --issn-map-file /srv/fatcat/datasets/ISSN-to-ISSN-L.txt -
## dblp
See `extra/dblp/README.md` for notes about first importing container metadata
and getting a TSV mapping file to help with import. This is needed because
there is not (yet) a lookup mechanism for `dblp_prefix` as an identifier of
container entities.
export FATCAT_AUTH_WORKER_DBLP=...
./fatcat_import.py dblp-release --dblp-container-map-file /data/dblp/all_dblp_containers.tsv /data/dblp/dblp.xml
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