def _execute(self, params):
generated_sql, query_params = self._generate_sql(params)
row = self._db_query("""
SELECT
id,
created,
spec,
IFNULL(tasks_total, 0) AS tasks_total,
IFNULL(tasks_queued, 0) AS tasks_queued,
-- Tasks that are cancelled count as finished also.
-- It is always true that if one is null, all are null
IFNULL(tasks_total - tasks_queued - tasks_finished, 0) AS tasks_running,
IFNULL(tasks_finished, 0) AS tasks_finished,
IFNULL(tasks_cancelled, 0) AS tasks_cancelled,
IFNULL(tasks_succeeded, 0) AS tasks_succeeded,
IFNULL(tasks_errored, 0) AS tasks_errored,
%(state_projection)s AS state
FROM
jobs
LEFT JOIN(
SELECT
tasks.job_id,
-- counts
COUNT(tasks.id) AS tasks_total,
CAST(SUM(%(success_cond)s) AS SIGNED) AS tasks_succeeded,
CAST(SUM(%(error_cond)s) AS SIGNED) AS tasks_errored,
CAST(SUM(%(cancelled_cond)s) AS SIGNED) AS tasks_cancelled,
CAST(SUM(%(finished_cond)s) AS SIGNED) AS tasks_finished,
CAST(SUM(%(queued_cond)s) AS SIGNED) AS tasks_queued
FROM tasks
WHERE %(task_job_id_predicate)s
GROUP BY tasks.job_id
) AS job_tasks ON job_tasks.job_id = jobs.id
WHERE %(job_id_predicate)s
LIMIT 2
""" % generated_sql, **query_params)
if len(row) == 0:
raise exceptions.ApiException('No job found with id `%s`' % params['job_id'])
elif len(row) > 1:
raise exceptions.ApiException('More than one job matches id `%s`, try using a more specific prefix' % params['job_id'])
row = row[0]
return shared.job_load_row(row)
def _execute(self, params):
generated_sql, query_params = self._generate_sql(params)
rows = self._db_query("""
SELECT
id,
created,
last_contact,
spec,
IFNULL(tasks_total, 0) AS tasks_total,
IFNULL(tasks_cancelled, 0) AS tasks_cancelled,
IFNULL(tasks_errored, 0) AS tasks_errored,
IFNULL(tasks_queued, 0) AS tasks_queued,
-- Tasks that are cancelled count as finished also
-- It is always true that if one is null, all are null
IFNULL(tasks_total - tasks_queued - tasks_finished, 0) AS tasks_running,
IFNULL(tasks_finished, 0) AS tasks_finished,
%(state_projection)s AS state,
bytes_total,
bytes_downloaded,
download_rate,
first_task_start
FROM
jobs
LEFT JOIN(
SELECT
tasks.job_id,
MIN(tasks.started) AS first_task_start,
MAX(tasks.last_contact) AS last_contact,
-- counts
-- These casts are necessary because MemSQL makes arbitrary choices
COUNT(tasks.id) AS tasks_total,
CAST(SUM(%(cancelled_cond)s) AS SIGNED) AS tasks_cancelled,
CAST(SUM(%(error_cond)s) AS SIGNED) AS tasks_errored,
CAST(SUM(%(finished_cond)s) AS SIGNED) AS tasks_finished,
CAST(SUM(%(queued_cond)s) AS SIGNED) AS tasks_queued,
-- download information
-- CAST because JSON number types are always floats
CAST(SUM(tasks.bytes_total) AS SIGNED) AS bytes_total,
CAST(SUM(tasks.bytes_downloaded) AS SIGNED) AS bytes_downloaded,
CAST(SUM(tasks.download_rate) AS SIGNED) AS download_rate
FROM tasks
GROUP BY tasks.job_id
) AS job_tasks ON job_tasks.job_id = jobs.id
%(where_expr)s
ORDER BY %(order_by)s %(order)s
%(paging)s
""" % generated_sql, **query_params)
# calculate time_left for each job
for row in rows:
time_left = -1
no_nulls = None not in (row.last_contact, row.first_task_start, row.bytes_downloaded)
if row.state == shared.JobState.RUNNING and no_nulls and row.bytes_downloaded != 0:
last_contact = dateutil.parser.parse(row.last_contact)
first_task_start = dateutil.parser.parse(row.first_task_start)
time_since_start = last_contact - first_task_start
overall_download_rate = row.bytes_downloaded / max(time_since_start.total_seconds(), 1)
bytes_remaining = row.bytes_total - row.bytes_downloaded
if overall_download_rate > 0:
time_left = bytes_remaining / overall_download_rate
row['time_left'] = time_left
return [ shared.job_load_row(row) for row in rows ]
