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community.general/plugins/modules/database/postgresql/postgresql_user_obj_stat_info.py
Andrew Klychkov f62b8027e0
postgresql modules: fix examples to use FQCN (#643)
2020-07-13 12:54:34 +03:00

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#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2020, Andrew Klychkov (@Andersson007) <aaklychkov@mail.ru>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r'''
---
module: postgresql_user_obj_stat_info
short_description: Gather statistics about PostgreSQL user objects
description:
- Gathers statistics about PostgreSQL user objects.
version_added: '0.2.0'
options:
filter:
description:
- Limit the collected information by comma separated string or YAML list.
- Allowable values are C(functions), C(indexes), C(tables).
- By default, collects all subsets.
- Unsupported values are ignored.
type: list
elements: str
schema:
description:
- Restrict the output by certain schema.
type: str
db:
description:
- Name of database to connect.
type: str
aliases:
- login_db
session_role:
description:
- Switch to session_role after connecting. The specified session_role must
be a role that the current login_user is a member of.
- Permissions checking for SQL commands is carried out as though
the session_role were the one that had logged in originally.
type: str
trust_input:
description:
- If C(no), check the value of I(session_role) is potentially dangerous.
- It only makes sense to use C(no) only when SQL injections via I(session_role) are possible.
type: bool
default: yes
version_added: '0.2.0'
notes:
- C(size) and C(total_size) returned values are presented in bytes.
- For tracking function statistics the PostgreSQL C(track_functions) parameter must be enabled.
See U(https://www.postgresql.org/docs/current/runtime-config-statistics.html) for more information.
seealso:
- module: community.general.postgresql_info
- module: community.general.postgresql_ping
- name: PostgreSQL statistics collector reference
description: Complete reference of the PostgreSQL statistics collector documentation.
link: https://www.postgresql.org/docs/current/monitoring-stats.html
author:
- Andrew Klychkov (@Andersson007)
- Thomas O'Donnell (@andytom)
extends_documentation_fragment:
- community.general.postgres
'''
EXAMPLES = r'''
- name: Collect information about all supported user objects of the acme database
community.general.postgresql_user_obj_stat_info:
db: acme
- name: Collect information about all supported user objects in the custom schema of the acme database
community.general.postgresql_user_obj_stat_info:
db: acme
schema: custom
- name: Collect information about user tables and indexes in the acme database
community.general.postgresql_user_obj_stat_info:
db: acme
filter: tables, indexes
'''
RETURN = r'''
indexes:
description: User index statistics
returned: always
type: dict
sample: {"public": {"test_id_idx": {"idx_scan": 0, "idx_tup_fetch": 0, "idx_tup_read": 0, "relname": "test", "size": 8192, ...}}}
tables:
description: User table statistics.
returned: always
type: dict
sample: {"public": {"test": {"analyze_count": 3, "n_dead_tup": 0, "n_live_tup": 0, "seq_scan": 2, "size": 0, "total_size": 8192, ...}}}
functions:
description: User function statistics.
returned: always
type: dict
sample: {"public": {"inc": {"calls": 1, "funcid": 26722, "self_time": 0.23, "total_time": 0.23}}}
'''
try:
from psycopg2.extras import DictCursor
except ImportError:
# psycopg2 is checked by connect_to_db()
# from ansible.module_utils.postgres
pass
from ansible.module_utils.basic import AnsibleModule
from ansible_collections.community.general.plugins.module_utils.database import (
check_input,
)
from ansible_collections.community.general.plugins.module_utils.postgres import (
connect_to_db,
exec_sql,
get_conn_params,
postgres_common_argument_spec,
)
from ansible.module_utils.six import iteritems
# ===========================================
# PostgreSQL module specific support methods.
#
class PgUserObjStatInfo():
"""Class to collect information about PostgreSQL user objects.
Args:
module (AnsibleModule): Object of AnsibleModule class.
cursor (cursor): Cursor object of psycopg2 library to work with PostgreSQL.
Attributes:
module (AnsibleModule): Object of AnsibleModule class.
cursor (cursor): Cursor object of psycopg2 library to work with PostgreSQL.
executed_queries (list): List of executed queries.
info (dict): Statistics dictionary.
obj_func_mapping (dict): Mapping of object types to corresponding functions.
schema (str): Name of a schema to restrict stat collecting.
"""
def __init__(self, module, cursor):
self.module = module
self.cursor = cursor
self.info = {
'functions': {},
'indexes': {},
'tables': {},
}
self.obj_func_mapping = {
'functions': self.get_func_stat,
'indexes': self.get_idx_stat,
'tables': self.get_tbl_stat,
}
self.schema = None
def collect(self, filter_=None, schema=None):
"""Collect statistics information of user objects.
Kwargs:
filter_ (list): List of subsets which need to be collected.
schema (str): Restrict stat collecting by certain schema.
Returns:
``self.info``.
"""
if schema:
self.set_schema(schema)
if filter_:
for obj_type in filter_:
obj_type = obj_type.strip()
obj_func = self.obj_func_mapping.get(obj_type)
if obj_func is not None:
obj_func()
else:
self.module.warn("Unknown filter option '%s'" % obj_type)
else:
for obj_func in self.obj_func_mapping.values():
obj_func()
return self.info
def get_func_stat(self):
"""Get function statistics and fill out self.info dictionary."""
query = "SELECT * FROM pg_stat_user_functions"
if self.schema:
query = "SELECT * FROM pg_stat_user_functions WHERE schemaname = %s"
result = exec_sql(self, query, query_params=(self.schema,),
add_to_executed=False)
if not result:
return
self.__fill_out_info(result,
info_key='functions',
schema_key='schemaname',
name_key='funcname')
def get_idx_stat(self):
"""Get index statistics and fill out self.info dictionary."""
query = "SELECT * FROM pg_stat_user_indexes"
if self.schema:
query = "SELECT * FROM pg_stat_user_indexes WHERE schemaname = %s"
result = exec_sql(self, query, query_params=(self.schema,),
add_to_executed=False)
if not result:
return
self.__fill_out_info(result,
info_key='indexes',
schema_key='schemaname',
name_key='indexrelname')
def get_tbl_stat(self):
"""Get table statistics and fill out self.info dictionary."""
query = "SELECT * FROM pg_stat_user_tables"
if self.schema:
query = "SELECT * FROM pg_stat_user_tables WHERE schemaname = %s"
result = exec_sql(self, query, query_params=(self.schema,),
add_to_executed=False)
if not result:
return
self.__fill_out_info(result,
info_key='tables',
schema_key='schemaname',
name_key='relname')
def __fill_out_info(self, result, info_key=None, schema_key=None, name_key=None):
# Convert result to list of dicts to handle it easier:
result = [dict(row) for row in result]
for elem in result:
# Add schema name as a key if not presented:
if not self.info[info_key].get(elem[schema_key]):
self.info[info_key][elem[schema_key]] = {}
# Add object name key as a subkey
# (they must be uniq over a schema, so no need additional checks):
self.info[info_key][elem[schema_key]][elem[name_key]] = {}
# Add other other attributes to a certain index:
for key, val in iteritems(elem):
if key not in (schema_key, name_key):
self.info[info_key][elem[schema_key]][elem[name_key]][key] = val
if info_key in ('tables', 'indexes'):
schemaname = elem[schema_key]
if self.schema:
schemaname = self.schema
relname = '%s.%s' % (schemaname, elem[name_key])
result = exec_sql(self, "SELECT pg_relation_size (%s)",
query_params=(relname,),
add_to_executed=False)
self.info[info_key][elem[schema_key]][elem[name_key]]['size'] = result[0][0]
if info_key == 'tables':
result = exec_sql(self, "SELECT pg_total_relation_size (%s)",
query_params=(relname,),
add_to_executed=False)
self.info[info_key][elem[schema_key]][elem[name_key]]['total_size'] = result[0][0]
def set_schema(self, schema):
"""If schema exists, sets self.schema, otherwise fails."""
query = ("SELECT 1 FROM information_schema.schemata "
"WHERE schema_name = %s")
result = exec_sql(self, query, query_params=(schema,),
add_to_executed=False)
if result and result[0][0]:
self.schema = schema
else:
self.module.fail_json(msg="Schema '%s' does not exist" % (schema))
# ===========================================
# Module execution.
#
def main():
argument_spec = postgres_common_argument_spec()
argument_spec.update(
db=dict(type='str', aliases=['login_db']),
filter=dict(type='list', elements='str'),
session_role=dict(type='str'),
schema=dict(type='str'),
trust_input=dict(type="bool", default=True),
)
module = AnsibleModule(
argument_spec=argument_spec,
supports_check_mode=True,
)
filter_ = module.params["filter"]
schema = module.params["schema"]
if not module.params["trust_input"]:
check_input(module, module.params['session_role'])
# Connect to DB and make cursor object:
pg_conn_params = get_conn_params(module, module.params)
# We don't need to commit anything, so, set it to False:
db_connection = connect_to_db(module, pg_conn_params, autocommit=False)
cursor = db_connection.cursor(cursor_factory=DictCursor)
############################
# Create object and do work:
pg_obj_info = PgUserObjStatInfo(module, cursor)
info_dict = pg_obj_info.collect(filter_, schema)
# Clean up:
cursor.close()
db_connection.close()
# Return information:
module.exit_json(**info_dict)
if __name__ == '__main__':
main()
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