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#!/usr/bin/env python3
"""
Helper script for running Sandcrawler (journal pipeline) tasks in production.
This is basically a Makefile. Be sure to only use python3 standard library
modules, so there are no dependencies.
"""
import sys
import argparse
import subprocess
from datetime import datetime
HDFS_DIR = "hdfs:///user/bnewbold/sandcrawler"
HBASE_HOST = "wbgrp-svc263.us.archive.org"
ZOOKEEPER_HOSTS = "mtrcs-zk1.us.archive.org:2181"
GROBID_URI = "http://wbgrp-svc096.us.archive.org:8070"
def rebuild_python():
print("Rebuilding python venv...")
cmd = """cd mapreduce;
export PIPENV_VENV_IN_PROJECT=1;
pipenv install --deploy
tar -czf venv-current.tar.gz -C .venv ."""
subprocess.call(cmd, shell=True)
def rebuild_scalding():
print("Rebuilding scalding jar...")
cmd = """cd scalding; sbt assembly"""
subprocess.call(cmd, shell=True)
def run_backfill(args):
if args.rebuild:
rebuild_python()
print("Starting backfill job...")
output = "{}/output-{}/{}-backfill".format(
HDFS_DIR,
args.env,
datetime.strftime(datetime.now(), "%Y-%m-%d-%H%M.%S"))
cmd = """cd mapreduce;
pipenv run ./backfill_hbase_from_cdx.py \
--hbase-host {hbase_host} \
--hbase-table wbgrp-journal-extract-0-{env} \
-r hadoop \
-c mrjob.conf \
--archive venv-current.tar.gz#venv \
{input_cdx}
""".format(hbase_host=HBASE_HOST, env=args.env,
input_cdx=args.input_cdx)
subprocess.call(cmd, shell=True)
def run_extract(args):
if args.rebuild:
rebuild_python()
print("Starting extract job...")
output = "{}/output-{}/{}-extract".format(
HDFS_DIR,
args.env,
datetime.strftime(datetime.now(), "%Y-%m-%d-%H%M.%S"))
cmd = """cd mapreduce;
pipenv run ./extraction_cdx_grobid.py \
--hbase-host {hbase_host} \
--hbase-table wbgrp-journal-extract-0-{env} \
--grobid-uri {grobid_uri} \
-r hadoop \
-c mrjob.conf \
--archive venv-current.tar.gz#venv \
--jobconf mapred.line.input.format.linespermap=8000 \
--jobconf mapreduce.job.queuename=extraction \
--jobconf mapred.task.timeout=3600000 \
{input_cdx}
""".format(hbase_host=HBASE_HOST, env=args.env,
input_cdx=args.input_cdx,
grobid_uri=GROBID_URI)
subprocess.call(cmd, shell=True)
def run_rowcount(args):
if args.rebuild:
rebuild_scalding()
print("Starting rowcount job...")
output = "{}/output-{}/{}-rowcount".format(
HDFS_DIR,
args.env,
datetime.strftime(datetime.now(), "%Y-%m-%d-%H%M.%S"))
cmd = """hadoop jar \
scalding/target/scala-2.11/sandcrawler-assembly-0.2.0-SNAPSHOT.jar \
com.twitter.scalding.Tool sandcrawler.HBaseRowCountJob \
--hdfs \
--app.conf.path scalding/ia_cluster.conf \
--hbase-table wbgrp-journal-extract-0-{env} \
--zookeeper-hosts {zookeeper_hosts} \
--output {output}""".format(
output=output,
zookeeper_hosts=ZOOKEEPER_HOSTS,
env=args.env)
subprocess.call(cmd, shell=True)
def run_statuscount(args):
if args.rebuild:
rebuild_scalding()
print("Starting statuscount job...")
output = "{}/output-{}/{}-statuscount".format(
HDFS_DIR,
args.env,
datetime.strftime(datetime.now(), "%Y-%m-%d-%H%M.%S"))
cmd = """hadoop jar \
scalding/target/scala-2.11/sandcrawler-assembly-0.2.0-SNAPSHOT.jar \
com.twitter.scalding.Tool sandcrawler.HBaseStatusCountJob \
--hdfs \
--app.conf.path scalding/ia_cluster.conf \
--hbase-table wbgrp-journal-extract-0-{env} \
--zookeeper-hosts {zookeeper_hosts} \
--output {output}""".format(
output=output,
zookeeper_hosts=ZOOKEEPER_HOSTS,
env=args.env)
subprocess.call(cmd, shell=True)
def run_matchcrossref(args):
if args.rebuild:
rebuild_scalding()
print("Starting matchcrossref job...")
output = "{}/output-{}/{}-matchcrossref".format(
HDFS_DIR,
args.env,
datetime.strftime(datetime.now(), "%Y-%m-%d-%H%M.%S"))
# Notes: -D options must come after Tool but before class name
# https://github.com/twitter/scalding/wiki/Frequently-asked-questions#how-do-i-pass-parameters-to-my-hadoop-job-number-of-reducers--memory-options--etc-
cmd = """hadoop jar \
scalding/target/scala-2.11/sandcrawler-assembly-0.2.0-SNAPSHOT.jar \
com.twitter.scalding.Tool \
-Dmapred.reduce.tasks={reducers} \
sandcrawler.ScoreJob \
--hdfs \
--app.conf.path scalding/ia_cluster.conf \
--hbase-table wbgrp-journal-extract-0-{env} \
--zookeeper-hosts {zookeeper_hosts} \
--crossref-input {crossref_input} \
--output {output}""".format(
output=output,
zookeeper_hosts=ZOOKEEPER_HOSTS,
env=args.env,
reducers=args.reducers,
crossref_input=args.crossref_input)
subprocess.call(cmd, shell=True)
def run_matchbenchmark(args):
if args.rebuild:
rebuild_scalding()
print("Starting matchbenchmark job...")
cmd = """./pig/deps/hadoop/bin/hadoop jar \
scalding/target/scala-2.11/sandcrawler-assembly-0.2.0-SNAPSHOT.jar \
com.twitter.scalding.Tool \
sandcrawler.MatchBenchmarkJob \
--local \
--app.conf.path scalding/ia_cluster.conf \
--left-bibjson {left_bibjson} \
--right-bibjson {right_bibjson} \
--output {output}""".format(
output=args.output,
left_bibjson=args.left_bibjson,
right_bibjson=args.right_bibjson)
subprocess.call(cmd, shell=True)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--prod',
help="run against prod HBase table",
action='store_true')
parser.add_argument('--qa',
help="run against qa HBase table",
action='store_true')
parser.add_argument('--rebuild',
help="rebuild whatever artifact gets sent",
action='store_true')
subparsers = parser.add_subparsers()
sub_backfill = subparsers.add_parser('backfill')
sub_backfill.set_defaults(func=run_backfill)
sub_backfill.add_argument('input_cdx',
help="full HDFS path of CDX file to backfill")
sub_extract = subparsers.add_parser('extract')
sub_extract.set_defaults(func=run_extract)
sub_extract.add_argument('input_cdx',
help="full HDFS path of CDX file to extract")
sub_rowcount = subparsers.add_parser('row-count')
sub_rowcount.set_defaults(func=run_rowcount)
sub_statuscount = subparsers.add_parser('status-count')
sub_statuscount.set_defaults(func=run_statuscount)
sub_matchcrossref = subparsers.add_parser('match-crossref')
sub_matchcrossref.set_defaults(func=run_matchcrossref)
sub_matchcrossref.add_argument('crossref_input',
help="full HDFS path of Crossref JSON dump")
sub_matchcrossref.add_argument('--reducers',
help="number of reducers to run",
type=int, default=30)
sub_matchbenchmark = subparsers.add_parser('match-benchmark')
sub_matchbenchmark.set_defaults(func=run_matchbenchmark)
sub_matchbenchmark.add_argument('left_bibjson',
help="First bibjson file")
sub_matchbenchmark.add_argument('right_bibjson',
help="Second bibjson file")
sub_matchbenchmark.add_argument('output',
help="where to write output")
args = parser.parse_args()
if not args.__dict__.get("func"):
print("tell me what to do! (try --help)")
sys.exit(-1)
if not (args.prod or args.qa) or (args.prod and args.qa):
print("must pass one of --prod or --qa")
sys.exit(-1)
if args.prod:
args.env = "prod"
if args.qa:
args.env = "qa"
args.func(args)
if __name__ == '__main__':
main()
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