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-rw-r--r--python/README_import.md104
1 files changed, 24 insertions, 80 deletions
diff --git a/python/README_import.md b/python/README_import.md
index d481b7ae..5f5a845e 100644
--- a/python/README_import.md
+++ b/python/README_import.md
@@ -8,6 +8,14 @@ Run in order:
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
@@ -18,102 +26,38 @@ the others:
https://archive.org/download/ia_journal_metadata_explore_2018-04-05/journal_extra_metadata.csv
https://archive.org/download/issn_issnl_mappings/20180216.ISSN-to-ISSN-L.txt
https://archive.org/download/orcid-dump-2017/public_profiles_API-2.0_2017_10_json.tar.gz
+ https://archive.org/download/ia_journal_pid_map_munge_20180908/release_ids.ia_munge_20180908.sqlite3.gz
+ https://archive.org/download/ia_test_paper_matches/2018-08-27-2352.17-matchcrossref.insertable.json.gz
+ https://archive.org/download/ia_papers_manifest_2018-01-25_matched/ia_papers_manifest_2018-01-25.matched.json.gz
## ISSN
From CSV file:
- export LC_ALL=C.UTF-8
- time ./fatcat_import.py import-issn /srv/datasets/journal_extra_metadata.csv
-
- real 2m42.148s
- user 0m11.148s
- sys 0m0.336s
+ # See "start off with" command above
+ time ./fatcat_import.py import-issn /srv/fatcat/datasets/journal_extra_metadata.csv
-Pretty quick, a few minutes.
+Usually a couple minutes at most on fast production machine.
## ORCID
-Directly from compressed tarball; takes about 2 hours in production:
-
- tar xf /srv/datasets/public_profiles_API-2.0_2017_10_json.tar.gz -O | jq -c . | grep '"person":' | time parallel -j12 --pipe --round-robin ./fatcat_import.py import-orcid -
-
-After tuning database, `jq` CPU seems to be bottleneck, so, from pre-extracted
-tarball:
-
- tar xf /srv/datasets/public_profiles_API-2.0_2017_10_json.tar.gz -O | jq -c . | rg '"person":' > /srv/datasets/public_profiles_1_2_json.all.json
- time parallel --bar --pipepart -j8 -a /srv/datasets/public_profiles_1_2_json.all.json ./fatcat_import.py import-orcid -
-
-Does not work:
-
- ./fatcat_import.py import-orcid /data/orcid/partial/public_profiles_API-2.0_2017_10_json/3/0000-0001-5115-8623.json
-
-Instead:
-
- cat /data/orcid/partial/public_profiles_API-2.0_2017_10_json/3/0000-0001-5115-8623.json | jq -c . | ./fatcat_import.py import-orcid -
-
-Or for many files:
-
- find /data/orcid/partial/public_profiles_API-2.0_2017_10_json/3 -iname '*.json' | parallel --bar jq -c . {} | rg '"person":' | ./fatcat_import.py import-orcid -
-
-### ORCID Performance
+Usually tens of minutes on fast production machine.
-for ~9k files:
-
- (python-B2RYrks8) bnewbold@orithena$ time parallel --pipepart -j4 -a /data/orcid/partial/public_profiles_API-2.0_2017_10_json/all.json ./fatcat_import.py import-orcid -
- real 0m15.294s
- user 0m28.112s
- sys 0m2.408s
-
- => 636/second
-
- (python-B2RYrks8) bnewbold@orithena$ time ./fatcat_import.py import-orcid /data/orcid/partial/public_profiles_API-2.0_2017_10_json/all.json
- real 0m47.268s
- user 0m2.616s
- sys 0m0.104s
-
- => 203/second
-
-For the full batch, on production machine with 12 threads, around 3.8 million records:
-
- 3550.76 user
- 190.16 system
- 1:40:01 elapsed
-
- => 644/second
-
-After some simple database tuning:
-
- 2177.86 user
- 145.60 system
- 56:41.26 elapsed
-
- => 1117/second
+ time parallel --bar --pipepart -j8 -a /srv/fatcat/datasets/public_profiles_1_2_json.all.json ./fatcat_import.py import-orcid -
## Crossref
-From compressed:
-
- xzcat /srv/datasets/crossref-works.2018-01-21.json.xz | time parallel -j20 --round-robin --pipe ./fatcat_import.py import-crossref - /srv/datasets/20180216.ISSN-to-ISSN-L.txt
-
-## Manifest
+Usually 24 hours or so on fast production machine.
- time ./fatcat_import.py import-manifest /srv/datasets/idents_files_urls.sqlite
+ time xzcat /srv/fatcat/datasets/crossref-works.2018-01-21.json.xz | time parallel -j20 --round-robin --pipe ./fatcat_import.py import-crossref - /srv/fatcat/datasets/20180216.ISSN-to-ISSN-L.txt /srv/fatcat/datasets/release_ids.ia_munge_20180908.sqlite3
- [...]
- Finished a batch; row 284518671 of 9669646 (2942.39%). Total inserted: 6606900
- Finished a batch; row 284518771 of 9669646 (2942.39%). Total inserted: 6606950
- Finished a batch; row 284518845 of 9669646 (2942.39%). Total inserted: 6607000
- Finished a batch; row 284518923 of 9669646 (2942.39%). Total inserted: 6607050
- Done! Inserted 6607075
-
- real 1590m36.626s
- user 339m40.928s
- sys 19m3.576s
+## Matched
-Really sped up once not contending with Crossref import, so don't run these two at the same time.
+Unknown speed!
-## Matched
+ # No file update for the first import...
+ zcat /srv/fatcat/datasets/ia_papers_manifest_2018-01-25.matched.json.gz | pv -l | time parallel -j12 --round-robin --pipe ./fatcat_import.py import-matched --no-file-update -
- zcat /srv/datasets/2018-08-27-2352.17-matchcrossref.insertable.json.gz | pv -l | time parallel -j12 --round-robin --pipe ./fatcat_import.py import-matched -
+ # ... 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 import-matched -