def extract(self, settings, force, restart, start, merge):
if not settings.extractor.app_name:
Log.error("Expecting an extractor.app_name in config file")
# SETUP DESTINATION
destination = bigquery.Dataset(
dataset=settings.extractor.app_name,
kwargs=settings.destination).get_or_create_table(
settings.destination)
try:
if merge:
with Timer("merge shards"):
destination.merge_shards()
# RECOVER LAST SQL STATE
redis = Redis.from_url(REDIS_URL)
state = redis.get(settings.extractor.key)
if start:
state = start, 0
elif restart or not state:
state = (0, 0)
redis.set(settings.extractor.key,
value2json(state).encode("utf8"))
else:
state = json2value(state.decode("utf8"))
last_modified, job_id = state
# SCAN SCHEMA, GENERATE EXTRACTION SQL
extractor = MySqlSnowflakeExtractor(settings.source)
canonical_sql = extractor.get_sql(SQL("SELECT 0"))
# ENSURE SCHEMA HAS NOT CHANGED SINCE LAST RUN
old_sql = redis.get(settings.extractor.sql)
if old_sql and old_sql.decode("utf8") != canonical_sql.sql:
if force:
Log.warning("Schema has changed")
else:
Log.error("Schema has changed")
redis.set(settings.extractor.sql, canonical_sql.sql.encode("utf8"))
# SETUP SOURCE
source = MySQL(settings.source.database)
while True:
Log.note(
"Extracting jobs for last_modified={{last_modified|datetime|quote}}, job.id={{job_id}}",
last_modified=last_modified,
job_id=job_id,
)
# Example: job.id ==283890114
# get_ids = ConcatSQL(
# (SQL_SELECT, sql_alias(quote_value(283890114), "id"))
# )
get_ids = sql_query({
"from": "job",
"select": ["id"],
"where": {
"or": [
{
"gt": {
"last_modified": Date(last_modified)
}
},
{
"and": [
{
"eq": {
"last_modified":
Date(last_modified)
}
},
{
"gt": {
"id": job_id
}
},
]
},
]
},
"sort": ["last_modified", "id"],
"limit": settings.extractor.chunk_size,
})
sql = extractor.get_sql(get_ids)
# PULL FROM source, AND PUSH TO destination
acc = []
with source.transaction():
cursor = source.query(sql, stream=True, row_tuples=True)
extractor.construct_docs(cursor, acc.append, False)
if not acc:
break
# SOME LIMITS PLACES ON STRING SIZE
for fl in jx.drill(acc, "job_log.failure_line"):
fl.message = strings.limit(fl.message, 10000)
# LIMIT NUMBER OF text_log_error
for job in acc:
if len(job.text_log_error) > 100:
shorter = []
known = set()
for e in job.text_log_error:
if e.line in known:
continue
known.add(e.line)
shorter.append(e)
job.text_log_error = shorter[:100]
# ASSIGN TIMESTAMP
for job in acc:
job.etl.timestamp = Date.now()
destination.extend(acc)
# RECORD THE STATE
last_doc = acc[-1]
last_modified, job_id = last_doc.last_modified, last_doc.id
redis.set(
settings.extractor.key,
value2json((last_modified, job_id)).encode("utf8"),
)
if len(acc) < settings.extractor.chunk_size:
break
source.close()
extractor.close()
except Exception as e:
Log.warning("problem with extraction", cause=e)
Log.note("done job extraction")
try:
with Timer("merge shards"):
destination.merge_shards()
except Exception as e:
Log.warning("problem with merge", cause=e)
Log.note("done job merge")
def extract(self, settings, force, restart, merge):
if not settings.extractor.app_name:
Log.error("Expecting an extractor.app_name in config file")
# SETUP DESTINATION
destination = bigquery.Dataset(
dataset=settings.extractor.app_name, kwargs=settings.destination
).get_or_create_table(settings.destination)
try:
if merge:
with Timer("merge shards"):
destination.merge_shards()
# RECOVER LAST SQL STATE
redis = Redis.from_url(REDIS_URL)
state = redis.get(settings.extractor.key)
if restart or not state:
state = (0, 0)
redis.set(settings.extractor.key, value2json(state).encode("utf8"))
else:
state = json2value(state.decode("utf8"))
last_modified, alert_id = state
last_modified = Date(last_modified)
# SCAN SCHEMA, GENERATE EXTRACTION SQL
extractor = MySqlSnowflakeExtractor(settings.source)
canonical_sql = extractor.get_sql(SQL("SELECT 0"))
# ENSURE SCHEMA HAS NOT CHANGED SINCE LAST RUN
old_sql = redis.get(settings.extractor.sql)
if old_sql and old_sql.decode("utf8") != canonical_sql.sql:
if force:
Log.warning("Schema has changed")
else:
Log.error("Schema has changed")
redis.set(settings.extractor.sql, canonical_sql.sql.encode("utf8"))
# SETUP SOURCE
source = MySQL(settings.source.database)
while True:
Log.note(
"Extracting alerts for last_modified={{last_modified|datetime|quote}}, alert.id={{alert_id}}",
last_modified=last_modified,
alert_id=alert_id,
)
last_year = Date.today() - YEAR + DAY # ONLY YOUNG RECORDS CAN GO INTO BIGQUERY
get_ids = SQL(
f"""
SELECT
s.id
FROM
treeherder.performance_alert_summary s
LEFT JOIN
treeherder.performance_alert a ON s.id=a.summary_id
WHERE
s.created>{quote_value(last_year)} AND
(s.last_updated > {quote_value(last_modified)} OR a.last_updated > {quote_value(last_modified)})
GROUP BY
s.id
ORDER BY
s.id
LIMIT
{quote_value(settings.extractor.chunk_size)}
"""
)
sql = extractor.get_sql(get_ids)
# PULL FROM source, AND PUSH TO destination
acc = []
with source.transaction():
cursor = source.query(sql, stream=True, row_tuples=True)
extractor.construct_docs(cursor, acc.append, False)
if not acc:
break
for r in acc:
r.etl.timestamp = Date.now()
destination.extend(acc)
# RECORD THE STATE
last_doc = acc[-1]
last_modified, alert_id = last_doc.created, last_doc.id
redis.set(
settings.extractor.key,
value2json((last_modified, alert_id)).encode("utf8"),
)
if len(acc) < settings.extractor.chunk_size:
break
source.close()
extractor.close()
except Exception as e:
Log.warning("problem with extraction", cause=e)
Log.note("done alert extraction")
try:
with Timer("merge shards"):
destination.merge_shards()
except Exception as e:
Log.warning("problem with merge", cause=e)
Log.note("done alert merge")
Log.stop()
def extract(self, settings, force, restart, merge):
if not settings.extractor.app_name:
Log.error("Expecting an extractor.app_name in config file")
# SETUP DESTINATION
destination = bigquery.Dataset(
dataset=settings.extractor.app_name,
kwargs=settings.destination).get_or_create_table(
settings.destination)
try:
if merge:
with Timer("merge shards"):
destination.merge_shards()
# RECOVER LAST SQL STATE
redis = Redis.from_url(REDIS_URL)
state = redis.get(settings.extractor.key)
if restart or not state:
state = 916850000
redis.set(settings.extractor.key,
value2json(state).encode("utf8"))
else:
state = json2value(state.decode("utf8"))
perf_id = state
# SCAN SCHEMA, GENERATE EXTRACTION SQL
extractor = MySqlSnowflakeExtractor(settings.source)
canonical_sql = extractor.get_sql(SQL("SELECT 0"))
# ENSURE SCHEMA HAS NOT CHANGED SINCE LAST RUN
old_sql = redis.get(settings.extractor.sql)
if old_sql and old_sql.decode("utf8") != canonical_sql.sql:
if force:
Log.warning("Schema has changed")
else:
Log.error("Schema has changed")
redis.set(settings.extractor.sql, canonical_sql.sql.encode("utf8"))
# SETUP SOURCE
source = MySQL(settings.source.database)
while True:
Log.note("Extracting perfs for perf.id={{perf_id}}",
perf_id=perf_id)
# get_ids = sql_query(
# {
# "from": "performance_datum",
# "select": ["id"],
# "where": {"gt": {"id": perf_id}},
# "sort": ["id"],
# "limit": settings.extractor.chunk_size,
# }
# )
get_ids = SQL(
str((PerformanceDatum.objects.filter(
id__gt=perf_id).values("id").order_by("id")
[:settings.extractor.chunk_size]).query))
sql = extractor.get_sql(get_ids)
# PULL FROM source, AND PUSH TO destination
acc = []
with source.transaction():
cursor = source.query(sql, stream=True, row_tuples=True)
extractor.construct_docs(cursor, acc.append, False)
if not acc:
break
# TODO: Remove me July 2021
# OLD PERF RECORDS HAVE NO CORRESPONDING JOB
# ADD job.submit_time FOR PARTITIONING
for a in acc:
if not a.job.submit_time:
a.job.submit_time = a.push_timestamp
a.etl.timestamp = Date.now()
destination.extend(acc)
# RECORD THE STATE
last_doc = acc[-1]
perf_id = last_doc.id
redis.set(settings.extractor.key,
value2json(perf_id).encode("utf8"))
if len(acc) < settings.extractor.chunk_size:
break
source.close()
extractor.close()
except Exception as e:
Log.warning("problem with extraction", cause=e)
Log.note("done perf extraction")
try:
with Timer("merge shards"):
destination.merge_shards()
except Exception as e:
Log.warning("problem with merge", cause=e)
Log.note("done perf merge")