def run(self):
start_time = datetime.now()
user_dim = UserDimension()
user_dim.sync_all()
project_dim = ProjectDimension()
project_dim.sync_all()
discussion_dim = DiscussionDimension()
discussion_dim.sync_all()
end_time = datetime.now()
conf.log.info("SCD2 done, took %s" % str(end_time - start_time))
def run(self):
start_time = datetime.now()
user_dim = UserDimension()
user_dim.sync_all()
project_dim = ProjectDimension()
project_dim.sync_all()
discussion_dim = DiscussionDimension()
discussion_dim.sync_all()
end_time = datetime.now()
conf.log.info("SCD2 done, took %s" % str(end_time - start_time))
def __init__(self):
self.user_dim = UserDimension()
self.event_dim = EventDimension()
self.project_dim = ProjectDimension()
self.discussion_dim = DiscussionDimension()
self.date_dim = DateDimension()
self.context_dim = ContextDimension()
# Extracted data transformed to sql
self.event_insert_clause = (
"INSERT IGNORE INTO event_fact VALUES(%(date_sk)d, %(project_sk)d, "
"%(user_sk)d, %(event_sk)d, %(discussion_sk)d, '%(timestamp)s', %(micros)d);"
)
self.request_insert_clause = (
"INSERT IGNORE INTO request_fact VALUES(%(project_sk)d, %(date_sk)d, "
"%(context_sk)d, %(user_sk)d, '%(timestamp)s', %(micros)d);")
# Extract will write into these
self.sql_rows = []
# Progress info
self.trans_fail_count = 0
def __init__(self):
self.user_dim = UserDimension()
self.event_dim = EventDimension()
self.project_dim = ProjectDimension()
self.discussion_dim = DiscussionDimension()
self.date_dim = DateDimension()
self.context_dim = ContextDimension()
# Extracted data transformed to sql
self.event_insert_clause = ("INSERT IGNORE INTO event_fact VALUES(%(date_sk)d, %(project_sk)d, "
"%(user_sk)d, %(event_sk)d, %(discussion_sk)d, '%(timestamp)s', %(micros)d);")
self.request_insert_clause = ("INSERT IGNORE INTO request_fact VALUES(%(project_sk)d, %(date_sk)d, "
"%(context_sk)d, %(user_sk)d, '%(timestamp)s', %(micros)d);")
# Extract will write into these
self.sql_rows = []
# Progress info
self.trans_fail_count = 0
class EventLogETL(ETL):
"""
Ran from cron scripts.
.. NOTE:: Role needs to be documented better!
"""
def __init__(self):
self.user_dim = UserDimension()
self.event_dim = EventDimension()
self.project_dim = ProjectDimension()
self.discussion_dim = DiscussionDimension()
self.date_dim = DateDimension()
self.context_dim = ContextDimension()
# Extracted data transformed to sql
self.event_insert_clause = ("INSERT IGNORE INTO event_fact VALUES(%(date_sk)d, %(project_sk)d, "
"%(user_sk)d, %(event_sk)d, %(discussion_sk)d, '%(timestamp)s', %(micros)d);")
self.request_insert_clause = ("INSERT IGNORE INTO request_fact VALUES(%(project_sk)d, %(date_sk)d, "
"%(context_sk)d, %(user_sk)d, '%(timestamp)s', %(micros)d);")
# Extract will write into these
self.sql_rows = []
# Progress info
self.trans_fail_count = 0
def run(self):
start_time = datetime.now()
conf.log.info("Running event ETL")
self.transform()
if not self.sql_rows:
return
if not self.load():
conf.log.error("ETL Done. Load failed.")
return
end_time = datetime.now()
conf.log.info("Event ETL done, took %s, %d rows of data inserted, %d events failed." %
(str(end_time - start_time), len(self.sql_rows), self.trans_fail_count))
def consume_queue(self):
"""
Iterates over queued unprocessed json data.
Deletes all iterated rows.
"""
with analytical_transaction() as cursor:
cursor.execute('SELECT `id`, `data` FROM `data_queue`')
rows = cursor.fetchall()
for row in rows:
cursor.execute('DELETE FROM data_queue WHERE id = %s', row[0])
yield json.loads(row[1])
def transform(self):
"""
Convert database queue to dimensional form SQL inserts in :attr:`self.sql_rows`.
"""
for item in self.consume_queue():
try:
event = self.to_event(item)
if item['event'] == 'page_request':
self.sql_rows.append(self.request_insert_clause % event)
else:
self.sql_rows.append(self.event_insert_clause % event)
except Exception:
conf.log.exception("transform failed: %s" % item)
self.trans_fail_count += 1
def to_event(self, log):
"""
Transforms log row data to surrogate keys for dimensional model
"""
# Make sure username exists
log['username'] = log['username'] or 'anonymous'
data = {}
data['timestamp'] = log['timestamp']
data['micros'] = int(log['timestamp'].split('.')[1])
data['date_sk'] = self.date_dim.date_sk(log['timestamp'])
data['event_sk'] = self.event_dim.event_sk(log['event'])
data['project_sk'] = self.project_dim.project_sk(log['project'])
data['user_sk'] = self.user_dim.user_sk(log['username'])
# Use inapplicable sk if discussion not applicable for event
data['discussion_sk'] = self.discussion_dim.inapplicable_sk
if 'forum_id' in log:
data['discussion_sk'] = self.discussion_dim.discussion_sk(log['project'], log['forum_id'])
if log['event'] == 'page_request':
data['context_sk'] = self.context_dim.context_sk(log['project'], log['path_info'])
return data
def load(self):
"""
Load data into dimension and fact tables
"""
try:
return self.load_sql(self.sql_rows)
except:
conf.log.error("Failed to load sql")
return False
def dump_sql(self, sql):
"""
Writes sql into analytics/dumps
"""
dt = datetime.now()
name = dt.strftime("%Y-%m-%d_%H%M%S_%f") + ".sql"
filename = os.path.join(conf.analytics_log_file_path, "fail_dump", name)
sql_file = None
conf.log.error("Running data to database failed. See %s for possible errors." % filename)
try:
sql_file = open(filename, "w")
sql_file.write(sql)
except:
conf.log.exception("Failed to open or write file %s", filename)
finally:
sql_file.close()
def load_sql(self, sql_rows):
"""
Helper method to be used for loading
sql into analytical database.
If sql fails we write sqldump
"""
with analytical_transaction() as cursor:
try:
for row in sql_rows:
cursor.execute(row)
except:
conf.log.exception("Doing sql dump failed.")
self.dump_sql("\n".join(sql_rows))
# Used to return false here prior to rollback, but now we need to raise
# the exception for the rollback to be called.
raise
return True
class EventLogETL(ETL):
"""
Ran from cron scripts.
.. NOTE:: Role needs to be documented better!
"""
def __init__(self):
self.user_dim = UserDimension()
self.event_dim = EventDimension()
self.project_dim = ProjectDimension()
self.discussion_dim = DiscussionDimension()
self.date_dim = DateDimension()
self.context_dim = ContextDimension()
# Extracted data transformed to sql
self.event_insert_clause = (
"INSERT IGNORE INTO event_fact VALUES(%(date_sk)d, %(project_sk)d, "
"%(user_sk)d, %(event_sk)d, %(discussion_sk)d, '%(timestamp)s', %(micros)d);"
)
self.request_insert_clause = (
"INSERT IGNORE INTO request_fact VALUES(%(project_sk)d, %(date_sk)d, "
"%(context_sk)d, %(user_sk)d, '%(timestamp)s', %(micros)d);")
# Extract will write into these
self.sql_rows = []
# Progress info
self.trans_fail_count = 0
def run(self):
start_time = datetime.now()
conf.log.info("Running event ETL")
self.transform()
if not self.sql_rows:
return
if not self.load():
conf.log.error("ETL Done. Load failed.")
return
end_time = datetime.now()
conf.log.info(
"Event ETL done, took %s, %d rows of data inserted, %d events failed."
% (str(end_time - start_time), len(
self.sql_rows), self.trans_fail_count))
def consume_queue(self):
"""
Iterates over queued unprocessed json data.
Deletes all iterated rows.
"""
with analytical_transaction() as cursor:
cursor.execute('SELECT `id`, `data` FROM `data_queue`')
rows = cursor.fetchall()
for row in rows:
cursor.execute('DELETE FROM data_queue WHERE id = %s', row[0])
yield json.loads(row[1])
def transform(self):
"""
Convert database queue to dimensional form SQL inserts in :attr:`self.sql_rows`.
"""
for item in self.consume_queue():
try:
event = self.to_event(item)
if item['event'] == 'page_request':
self.sql_rows.append(self.request_insert_clause % event)
else:
self.sql_rows.append(self.event_insert_clause % event)
except Exception:
conf.log.exception("transform failed: %s" % item)
self.trans_fail_count += 1
def to_event(self, log):
"""
Transforms log row data to surrogate keys for dimensional model
"""
# Make sure username exists
log['username'] = log['username'] or 'anonymous'
data = {}
data['timestamp'] = log['timestamp']
data['micros'] = int(log['timestamp'].split('.')[1])
data['date_sk'] = self.date_dim.date_sk(log['timestamp'])
data['event_sk'] = self.event_dim.event_sk(log['event'])
data['project_sk'] = self.project_dim.project_sk(log['project'])
data['user_sk'] = self.user_dim.user_sk(log['username'])
# Use inapplicable sk if discussion not applicable for event
data['discussion_sk'] = self.discussion_dim.inapplicable_sk
if 'forum_id' in log:
data['discussion_sk'] = self.discussion_dim.discussion_sk(
log['project'], log['forum_id'])
if log['event'] == 'page_request':
data['context_sk'] = self.context_dim.context_sk(
log['project'], log['path_info'])
return data
def load(self):
"""
Load data into dimension and fact tables
"""
try:
return self.load_sql(self.sql_rows)
except:
conf.log.error("Failed to load sql")
return False
def dump_sql(self, sql):
"""
Writes sql into analytics/dumps
"""
dt = datetime.now()
name = dt.strftime("%Y-%m-%d_%H%M%S_%f") + ".sql"
filename = os.path.join(conf.analytics_log_file_path, "fail_dump",
name)
sql_file = None
conf.log.error(
"Running data to database failed. See %s for possible errors." %
filename)
try:
sql_file = open(filename, "w")
sql_file.write(sql)
except:
conf.log.exception("Failed to open or write file %s", filename)
finally:
sql_file.close()
def load_sql(self, sql_rows):
"""
Helper method to be used for loading
sql into analytical database.
If sql fails we write sqldump
"""
with analytical_transaction() as cursor:
try:
for row in sql_rows:
cursor.execute(row)
except:
conf.log.exception("Doing sql dump failed.")
self.dump_sql("\n".join(sql_rows))
# Used to return false here prior to rollback, but now we need to raise
# the exception for the rollback to be called.
raise
return True