def join_authors():
"""A reducer that joins thing table dumps and data table dumps"""
def process(thing_id, vals):
data = {}
authors = []
gold = None
for val in vals:
if ('comment' in val) or ("link" in val):
authors.append(mr_tools.format_dataspec(val,
['data_type', # e.g. 'data'
'thing_type', # e.g. 'link'
'key', # e.g. 'sr_id'
'tid'
]))
elif 'account' in val:
gold = mr_tools.format_dataspec(val,
['data_type', # e.g. 'data'
'thing_type', # e.g. 'link'
'key', # e.g. 'sr_id'
'value'])
if gold is not None:
for author in authors:
yield (author.tid, author.data_type, author.thing_type,
author.key, thing_id)
mr_tools.mr_reduce(process)
def join_authors():
"""A reducer that joins thing table dumps and data table dumps"""
def process(thing_id, vals):
data = {}
authors = []
gold = None
for val in vals:
if ('comment' in val) or ("link" in val):
authors.append(
mr_tools.format_dataspec(
val,
[
'data_type', # e.g. 'data'
'thing_type', # e.g. 'link'
'key', # e.g. 'sr_id'
'tid'
]))
elif 'account' in val:
gold = mr_tools.format_dataspec(
val,
[
'data_type', # e.g. 'data'
'thing_type', # e.g. 'link'
'key', # e.g. 'sr_id'
'value'
])
if gold is not None:
for author in authors:
yield (author.tid, author.data_type, author.thing_type,
author.key, thing_id)
mr_tools.mr_reduce(process)
def store_sorts():
from r2.models import CommentSortsCache
from r2.lib.db.tdb_cassandra import CL
# we're going to do our own Cassandra work here, skipping the
# tdb_cassandra layer
cf = CommentSortsCache._cf
def _process(key, vals):
vals = dict(vals)
# this has already been serialised to strings
cf.insert(key, vals, write_consistency_level = CL.ANY)
return []
return mr_tools.mr_reduce(_process)
def store_sorts():
from r2.models import CommentSortsCache
from r2.lib.db.tdb_cassandra import CL
# we're going to do our own Cassandra work here, skipping the
# tdb_cassandra layer
cf = CommentSortsCache._cf
def _process(key, vals):
vals = dict(vals)
# this has already been serialised to strings
cf.insert(key, vals, write_consistency_level = CL.ANY)
return []
return mr_tools.mr_reduce(_process)
