def test_timing(self):
if self.not_real_service():
return
test = wrap({
"query": {
"from": {
"type": "elasticsearch",
"settings": {
"host": ES_CLUSTER_LOCATION,
"index": "unittest",
"type": "test_result"
}
},
"select": [{
"name": "count",
"value": "run.duration",
"aggregate": "count"
}, {
"name": "total",
"value": "run.duration",
"aggregate": "sum"
}],
"edges": [{
"name": "chunk",
"value": ["run.suite", "run.chunk"]
}, "result.ok"],
"where": {
"and": [{
"lt": {
"timestamp": Date.floor(Date.now()).milli / 1000
}
}, {
"gte": {
"timestamp":
Date.floor(Date.now() - (Duration.DAY * 7),
Duration.DAY).milli / 1000
}
}]
},
"format":
"cube",
"samples": {
"limit": 30
}
}
})
query = unicode2utf8(convert.value2json(test.query))
# EXECUTE QUERY
with Timer("query"):
response = http.get(self.testing.query, data=query)
if response.status_code != 200:
error(response)
result = json2value(utf82unicode(response.all_content))
Log.note("result\n{{result|indent}}", {"result": result})
def _get_queue(self, row):
row = wrap(row)
if row.json:
row.value, row.json = json2value(row.json), None
timestamp = Date(self.rollover_field(row.value))
if timestamp == None:
return Null
elif timestamp < Date.today() - self.rollover_max:
return DATA_TOO_OLD
rounded_timestamp = timestamp.floor(self.rollover_interval)
with self.locker:
queue = self.known_queues.get(rounded_timestamp.unix)
if queue == None:
candidates = sort_using_key(
filter(
lambda r: re.match(
re.escape(self.settings.index) + r"\d\d\d\d\d\d\d\d_\d\d\d\d\d\d$",
r['index']
),
self.cluster.get_aliases()
),
key=lambda r: r['index']
)
best = None
for c in candidates:
c = wrap(c)
c.date = unicode2Date(c.index[-15:], elasticsearch.INDEX_DATE_FORMAT)
if timestamp > c.date:
best = c
if not best or rounded_timestamp > best.date:
if rounded_timestamp < wrap(candidates[-1]).date:
es = self.cluster.get_or_create_index(read_only=False, alias=best.alias, index=best.index, kwargs=self.settings)
else:
try:
es = self.cluster.create_index(create_timestamp=rounded_timestamp, kwargs=self.settings)
es.add_alias(self.settings.index)
except Exception as e:
e = Except.wrap(e)
if "IndexAlreadyExistsException" not in e:
Log.error("Problem creating index", cause=e)
return self._get_queue(row) # TRY AGAIN
else:
es = self.cluster.get_or_create_index(read_only=False, alias=best.alias, index=best.index, kwargs=self.settings)
def refresh(please_stop):
try:
es.set_refresh_interval(seconds=60 * 10, timeout=5)
except Exception:
Log.note("Could not set refresh interval for {{index}}", index=es.settings.index)
Thread.run("refresh", refresh)
self._delete_old_indexes(candidates)
threaded_queue = es.threaded_queue(max_size=self.settings.queue_size, batch_size=self.settings.batch_size, silent=True)
with self.locker:
queue = self.known_queues[rounded_timestamp.unix] = threaded_queue
return queue
def _get_queue(self, row):
row = wrap(row)
if row.json:
row.value, row.json = json2value(row.json), None
timestamp = Date(self.rollover_field(row.value))
if timestamp == None:
return Null
elif timestamp < Date.today() - self.rollover_max:
return DATA_TOO_OLD
rounded_timestamp = timestamp.floor(self.rollover_interval)
with self.locker:
queue = self.known_queues.get(rounded_timestamp.unix)
if queue == None:
candidates = jx.run({
"from": ListContainer(".", self.cluster.get_aliases()),
"where": {"regex": {"index": self.settings.index + "\d\d\d\d\d\d\d\d_\d\d\d\d\d\d"}},
"sort": "index"
})
best = None
for c in candidates:
c = wrap(c)
c.date = unicode2Date(c.index[-15:], elasticsearch.INDEX_DATE_FORMAT)
if timestamp > c.date:
best = c
if not best or rounded_timestamp > best.date:
if rounded_timestamp < wrap(candidates[-1]).date:
es = self.cluster.get_or_create_index(read_only=False, alias=best.alias, index=best.index, kwargs=self.settings)
else:
try:
es = self.cluster.create_index(create_timestamp=rounded_timestamp, kwargs=self.settings)
es.add_alias(self.settings.index)
except Exception as e:
e = Except.wrap(e)
if "IndexAlreadyExistsException" not in e:
Log.error("Problem creating index", cause=e)
return self._get_queue(row) # TRY AGAIN
else:
es = self.cluster.get_or_create_index(read_only=False, alias=best.alias, index=best.index, kwargs=self.settings)
with suppress_exception:
es.set_refresh_interval(seconds=60 * 5, timeout=5)
self._delete_old_indexes(candidates)
threaded_queue = es.threaded_queue(max_size=self.settings.queue_size, batch_size=self.settings.batch_size, silent=True)
with self.locker:
queue = self.known_queues[rounded_timestamp.unix] = threaded_queue
return queue
def _get_queue(self, row):
row = wrap(row)
if row.json:
row.value, row.json = json2value(row.json), None
timestamp = Date(self.rollover_field(row.value))
if timestamp == None:
return Null
elif timestamp < Date.today() - self.rollover_max:
return DATA_TOO_OLD
rounded_timestamp = timestamp.floor(self.rollover_interval)
with self.locker:
queue = self.known_queues.get(rounded_timestamp.unix)
if queue == None:
candidates = jx.run({
"from": ListContainer(".", self.cluster.get_aliases()),
"where": {"regex": {"index": self.settings.index + "\d\d\d\d\d\d\d\d_\d\d\d\d\d\d"}},
"sort": "index"
})
best = None
for c in candidates:
c = wrap(c)
c.date = unicode2Date(c.index[-15:], elasticsearch.INDEX_DATE_FORMAT)
if timestamp > c.date:
best = c
if not best or rounded_timestamp > best.date:
if rounded_timestamp < wrap(candidates[-1]).date:
es = self.cluster.get_or_create_index(read_only=False, alias=best.alias, index=best.index, kwargs=self.settings)
else:
try:
es = self.cluster.create_index(create_timestamp=rounded_timestamp, kwargs=self.settings)
es.add_alias(self.settings.index)
except Exception as e:
e = Except.wrap(e)
if "IndexAlreadyExistsException" not in e:
Log.error("Problem creating index", cause=e)
return self._get_queue(row) # TRY AGAIN
else:
es = self.cluster.get_or_create_index(read_only=False, alias=best.alias, index=best.index, kwargs=self.settings)
with suppress_exception:
es.set_refresh_interval(seconds=60 * 5, timeout=5)
self._delete_old_indexes(candidates)
threaded_queue = es.threaded_queue(max_size=self.settings.queue_size, batch_size=self.settings.batch_size, silent=True)
with self.locker:
queue = self.known_queues[rounded_timestamp.unix] = threaded_queue
return queue
def test_chunk_timing(self):
if self.not_real_service():
return
test = wrap({"query": {
"from": {
"type": "elasticsearch",
"settings": {
"host": ES_CLUSTER_LOCATION,
"index": "unittest",
"type": "test_result"
}
},
"select": {"value": "run.stats.duration", "aggregate": "average"},
"edges": [
{"name": "chunk", "value": ["run.suite", "run.chunk"]}
],
"where": {"and": [
{"term": {"etl.id": 0}},
{"gte": {"timestamp": Date.floor(Date.now() - (Duration.DAY * 7), Duration.DAY).milli / 1000}}
]},
"format": "cube",
"samples": {
"limit": 30
}
}})
query = value2json(test.query).encode('utf8')
# EXECUTE QUERY
with Timer("query"):
response = self.utils.try_till_response(self.testing.query, data=query)
if response.status_code != 200:
error(response)
result = json2value(response.all_content.decode('utf8'))
Log.note("result\n{{result|indent}}", {"result": result})
def test_floor_week(self):
date = Date('2016-09-30 15:51:50')
f = date.floor(WEEK)
expected = Date("2016-09-25")
self.assertEqual(f, expected)
def test_floor_year2(self):
date = Date("2015-10-04 13:53:11", '%Y-%m-%d %H:%M:%S.%f')
f = date.floor(2*YEAR)
expected = Date("2014-01-01")
self.assertEqual(f, expected)
def test_floor_quarter(self):
date = Date("2015-10-04 13:53:11", '%Y-%m-%d %H:%M:%S.%f')
f = date.floor(3*MONTH)
expected = Date("2015-10-01")
self.assertEqual(f, expected)
