def test_extract_job_sql(extract_job_settings, transactional_db):
"""
VERIFY SQL OVER DATABASE
"""
extractor = MySqlSnowflakeExtractor(extract_job_settings.source)
sql = extractor.get_sql(SQL("SELECT 0"))
assert "".join(sql.sql.split()) == "".join(EXTRACT_JOB_SQL.split())
def test_extract_alert_sql(extract_alert_settings, test_perf_alert_summary,
test_perf_alert):
"""
If you find this test failing, then replace the contents of test_extract_alerts.sql with the contents of the `sql`
variable below. You can then review the resulting diff.
"""
p = test_perf_alert
s2 = PerformanceAlertSummary.objects.create(
id=2,
repository=test_perf_alert_summary.repository,
prev_push_id=3,
push_id=4,
created=datetime.datetime.now(),
framework=test_perf_alert_summary.framework,
manually_created=False,
)
# set related summary with downstream status, make sure that works
# p = PerformanceAlert.objects.get(id=1)
p.status = PerformanceAlert.DOWNSTREAM
p.related_summary = s2
p.save()
extractor = MySqlSnowflakeExtractor(extract_alert_settings.source)
sql = extractor.get_sql(SQL("SELECT 0"))
assert "".join(sql.sql.split()) == "".join(EXTRACT_ALERT_SQL.split())
def test_extract_alert(extract_alert_settings, test_perf_alert_summary,
test_perf_alert):
"""
If you find this test failing, then copy the JSON in the test failure into the test_extract_alerts.json file,
then you may use the diff to review the changes.
"""
now = datetime.datetime.now()
source = MySQL(extract_alert_settings.source.database)
extractor = MySqlSnowflakeExtractor(extract_alert_settings.source)
sql = extractor.get_sql(
SQL("SELECT " + text(test_perf_alert_summary.id) + " as id"))
acc = []
with source.transaction():
cursor = list(source.query(sql, stream=True, row_tuples=True))
extractor.construct_docs(cursor, acc.append, False)
doc = acc[0]
# TEST ARE RUN WITH CURRENT TIMESTAMPS
doc.created = now
doc.last_updated = now
for d in doc.details:
d.created = now
d.last_updated = now
d.series_signature.last_updated = now
assertAlmostEqual(
acc, ALERT, places=3
) # TH MIXES LOCAL TIMEZONE WITH GMT: https://bugzilla.mozilla.org/show_bug.cgi?id=1612603
def test_extract_job_sql(extract_job_settings, transactional_db):
"""
VERIFY SQL OVER DATABASE
If you find this test failing, then replace the contents of test_extract_job.sql with the contents of the `sql`
variable below. You can then review the resulting diff.
"""
extractor = MySqlSnowflakeExtractor(extract_job_settings.source)
sql = extractor.get_sql(SQL("SELECT 0"))
assert "".join(sql.sql.split()) == "".join(EXTRACT_JOB_SQL.split())
def run_compare(self, config, id_sql, expected):
db = MySQL(**config.database)
extractor = MySqlSnowflakeExtractor(kwargs=config)
sql = extractor.get_sql(SQL(id_sql))
result = []
with db.transaction():
cursor = db.query(sql, stream=True, row_tuples=True)
cursor = list(cursor)
extractor.construct_docs(cursor, result.append, False)
self.assertEqual(result, expected, "expecting identical")
self.assertEqual(expected, result, "expecting identical")
def test_extract_job(complex_job, extract_job_settings):
"""
If you find this test failing, then copy the JSON in the test failure into the test_extract_job.json file,
then you may use the diff to review the changes.
"""
with MySQL(extract_job_settings.source.database) as source:
with MySqlSnowflakeExtractor(extract_job_settings.source) as extractor:
sql = extractor.get_sql(
SQL("SELECT " + text(complex_job.id) + " as id"))
acc = []
with source.transaction():
cursor = list(source.query(sql, stream=True, row_tuples=True))
extractor.construct_docs(cursor, acc.append, False)
doc = first(acc)
doc.guid = first(JOB).guid # NEW EACH TIME
job_guid = first(jx.drill(JOB, "job_log.failure_line.job_guid"))
for fl in jx.drill(doc, "job_log.failure_line"):
fl.job_guid = job_guid
assertAlmostEqual(
acc,
JOB,
places=
4, # TH MIXES LOCAL TIMEZONE WITH GMT: https://bugzilla.mozilla.org/show_bug.cgi?id=1612603
)
def test_extract_job(complex_job, extract_job_settings, now):
source = MySQL(extract_job_settings.source.database)
extractor = MySqlSnowflakeExtractor(extract_job_settings.source)
sql = extractor.get_sql(SQL("SELECT " + text(complex_job.id) + " as id"))
acc = []
with source.transaction():
cursor = list(source.query(sql, stream=True, row_tuples=True))
extractor.construct_docs(cursor, acc.append, False)
doc = acc[0]
doc.guid = complex_job.guid
doc.last_modified = complex_job.last_modified
assertAlmostEqual(
acc, JOB, places=3
) # TH MIXES LOCAL TIMEZONE WITH GMT: https://bugzilla.mozilla.org/show_bug.cgi?id=1612603
def test_extract_alert_sql(extract_alert_settings, test_perf_alert_summary,
test_perf_alert):
p = test_perf_alert
s2 = PerformanceAlertSummary.objects.create(
id=2,
repository=test_perf_alert_summary.repository,
prev_push_id=3,
push_id=4,
created=datetime.datetime.now(),
framework=test_perf_alert_summary.framework,
manually_created=False,
)
# set related summary with downstream status, make sure that works
# p = PerformanceAlert.objects.get(id=1)
p.status = PerformanceAlert.DOWNSTREAM
p.related_summary = s2
p.save()
extractor = MySqlSnowflakeExtractor(extract_alert_settings.source)
sql = extractor.get_sql(SQL("SELECT 0"))
assert "".join(sql.sql.split()) == "".join(EXTRACT_ALERT_SQL.split())
def test_extract_job(complex_job, extract_job_settings, now):
"""
If you find this test failing, then copy the JSON in the test failure into the test_extract_job.json file,
then you may use the diff to review the changes.
"""
source = MySQL(extract_job_settings.source.database)
extractor = MySqlSnowflakeExtractor(extract_job_settings.source)
sql = extractor.get_sql(SQL("SELECT " + text(complex_job.id) + " as id"))
acc = []
with source.transaction():
cursor = list(source.query(sql, stream=True, row_tuples=True))
extractor.construct_docs(cursor, acc.append, False)
doc = acc[0]
doc.guid = complex_job.guid
assertAlmostEqual(
acc,
JOB,
places=
4, # TH MIXES LOCAL TIMEZONE WITH GMT: https://bugzilla.mozilla.org/show_bug.cgi?id=1612603
)
def test_extract_alert(extract_alert_settings, test_perf_alert_summary,
test_perf_alert):
"""
If you find this test failing, then copy the JSON in the test failure into the test_extract_alerts.json file,
then you may use the diff to review the changes.
"""
with MySQL(extract_alert_settings.source.database) as source:
with MySqlSnowflakeExtractor(
extract_alert_settings.source) as extractor:
sql = extractor.get_sql(
SQL("SELECT " + text(test_perf_alert_summary.id) + " as id"))
acc = []
with source.transaction():
cursor = list(source.query(sql, stream=True, row_tuples=True))
extractor.construct_docs(cursor, acc.append, False)
assertAlmostEqual(
acc, ALERT, places=3
) # TH MIXES LOCAL TIMEZONE WITH GMT: https://bugzilla.mozilla.org/show_bug.cgi?id=1612603
def run(self, force=False, restart=False, merge=False):
# SETUP LOGGING
settings = startup.read_settings(filename=CONFIG_FILE)
constants.set(settings.constants)
Log.start(settings.debug)
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()
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, 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": parse(last_modified)}},
# {
# "and": [
# {"eq": {"last_modified": parse(last_modified)}},
# {"gt": {"id": job_id}},
# ]
# },
# ]
# },
# "sort": ["last_modified", "id"],
# "limit": settings.extractor.chunk_size,
# }
# )
get_ids = SQL(str(
(
Job.objects.filter(
Q(last_modified__gt=parse(last_modified).datetime)
| (
Q(last_modified=parse(last_modified).datetime)
& Q(id__gt=job_id)
)
)
.annotate()
.values("id")
.order_by("last_modified", "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
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
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, 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)
for r in acc:
r.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
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(
"SELECT s.id " +
"\nFROM treeherder.performance_alert_summary s" +
"\nLEFT JOIN treeherder.performance_alert a ON s.id=a.summary_id"
+ "\nWHERE s.created>" + quote_value(last_year).sql +
" AND (s.last_updated > " +
quote_value(last_modified).sql + "\nOR a.last_updated > " +
quote_value(last_modified).sql + ")" + "\nGROUP BY s.id" +
"\nORDER BY s.id" + "\nLIMIT " +
quote_value(settings.extractor.chunk_size).sql)
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
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
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
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")
def run(self, force=False, restart=False, merge=False):
# SETUP LOGGING
settings = startup.read_settings(filename=CONFIG_FILE)
constants.set(settings.constants)
Log.start(settings.debug)
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()
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 = parse(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
# SELECT
# s.od
# FROM
# treeherder.performance_alert_summary s
# LEFT JOIN
# treeherder.performance_alert a ON s.id=a.summary_id
# WHERE
# s.created>{last_year} AND (s.last_updated>{last_modified} OR a.last_updated>{last_modified})
# GROUP BY
# s.id
# ORDER BY
# s.id
# LIMIT
# {settings.extractor.chunk_size}
get_ids = SQL(
str(
(
PerformanceAlertSummary.objects.filter(
Q(created__gt=last_year.datetime)
& (
Q(last_updated__gt=last_modified.datetime)
| Q(alerts__last_updated__gt=last_modified.datetime)
)
)
.annotate()
.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
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
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()