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mysql.py
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mysql.py
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# (C) Datadog, Inc. 2010-2016
# (C) Datadog, Inc. Patrick Galbraith <patg@patg.net> 2013
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
# stdlib
import re
import traceback
from contextlib import closing, contextmanager
from collections import defaultdict
# 3p
import pymysql
try:
import psutil
PSUTIL_AVAILABLE = True
except ImportError:
PSUTIL_AVAILABLE = False
# project
from config import _is_affirmative
from checks import AgentCheck
GAUGE = "gauge"
RATE = "rate"
COUNT = "count"
MONOTONIC = "monotonic_count"
# Vars found in "SHOW STATUS;"
STATUS_VARS = {
# Command Metrics
'Slow_queries': ('mysql.performance.slow_queries', RATE),
'Questions': ('mysql.performance.questions', RATE),
'Queries': ('mysql.performance.queries', RATE),
'Com_select': ('mysql.performance.com_select', RATE),
'Com_insert': ('mysql.performance.com_insert', RATE),
'Com_update': ('mysql.performance.com_update', RATE),
'Com_delete': ('mysql.performance.com_delete', RATE),
'Com_replace': ('mysql.performance.com_replace', RATE),
'Com_load': ('mysql.performance.com_load', RATE),
'Com_insert_select': ('mysql.performance.com_insert_select', RATE),
'Com_update_multi': ('mysql.performance.com_update_multi', RATE),
'Com_delete_multi': ('mysql.performance.com_delete_multi', RATE),
'Com_replace_select': ('mysql.performance.com_replace_select', RATE),
# Connection Metrics
'Connections': ('mysql.net.connections', RATE),
'Max_used_connections': ('mysql.net.max_connections', GAUGE),
'Aborted_clients': ('mysql.net.aborted_clients', RATE),
'Aborted_connects': ('mysql.net.aborted_connects', RATE),
# Table Cache Metrics
'Open_files': ('mysql.performance.open_files', GAUGE),
'Open_tables': ('mysql.performance.open_tables', GAUGE),
# Network Metrics
'Bytes_sent': ('mysql.performance.bytes_sent', RATE),
'Bytes_received': ('mysql.performance.bytes_received', RATE),
# Query Cache Metrics
'Qcache_hits': ('mysql.performance.qcache_hits', RATE),
'Qcache_inserts': ('mysql.performance.qcache_inserts', RATE),
'Qcache_lowmem_prunes': ('mysql.performance.qcache_lowmem_prunes', RATE),
# Table Lock Metrics
'Table_locks_waited': ('mysql.performance.table_locks_waited', GAUGE),
'Table_locks_waited_rate': ('mysql.performance.table_locks_waited.rate', RATE),
# Temporary Table Metrics
'Created_tmp_tables': ('mysql.performance.created_tmp_tables', RATE),
'Created_tmp_disk_tables': ('mysql.performance.created_tmp_disk_tables', RATE),
'Created_tmp_files': ('mysql.performance.created_tmp_files', RATE),
# Thread Metrics
'Threads_connected': ('mysql.performance.threads_connected', GAUGE),
'Threads_running': ('mysql.performance.threads_running', GAUGE),
# MyISAM Metrics
'Key_buffer_bytes_unflushed': ('mysql.myisam.key_buffer_bytes_unflushed', GAUGE),
'Key_buffer_bytes_used': ('mysql.myisam.key_buffer_bytes_used', GAUGE),
'Key_read_requests': ('mysql.myisam.key_read_requests', RATE),
'Key_reads': ('mysql.myisam.key_reads', RATE),
'Key_write_requests': ('mysql.myisam.key_write_requests', RATE),
'Key_writes': ('mysql.myisam.key_writes', RATE),
}
# Possibly from SHOW GLOBAL VARIABLES
VARIABLES_VARS = {
'Key_buffer_size': ('mysql.myisam.key_buffer_size', GAUGE),
'Key_cache_utilization': ('mysql.performance.key_cache_utilization', GAUGE),
'max_connections': ('mysql.net.max_connections_available', GAUGE),
'query_cache_size': ('mysql.performance.qcache_size', GAUGE),
'table_open_cache': ('mysql.performance.table_open_cache', GAUGE),
'thread_cache_size': ('mysql.performance.thread_cache_size', GAUGE)
}
INNODB_VARS = {
# InnoDB metrics
'Innodb_data_reads': ('mysql.innodb.data_reads', RATE),
'Innodb_data_writes': ('mysql.innodb.data_writes', RATE),
'Innodb_os_log_fsyncs': ('mysql.innodb.os_log_fsyncs', RATE),
'Innodb_mutex_spin_waits': ('mysql.innodb.mutex_spin_waits', RATE),
'Innodb_mutex_spin_rounds': ('mysql.innodb.mutex_spin_rounds', RATE),
'Innodb_mutex_os_waits': ('mysql.innodb.mutex_os_waits', RATE),
'Innodb_row_lock_waits': ('mysql.innodb.row_lock_waits', RATE),
'Innodb_row_lock_time': ('mysql.innodb.row_lock_time', RATE),
'Innodb_row_lock_current_waits': ('mysql.innodb.row_lock_current_waits', GAUGE),
'Innodb_current_row_locks': ('mysql.innodb.current_row_locks', GAUGE),
'Innodb_buffer_pool_bytes_dirty': ('mysql.innodb.buffer_pool_dirty', GAUGE),
'Innodb_buffer_pool_bytes_free': ('mysql.innodb.buffer_pool_free', GAUGE),
'Innodb_buffer_pool_bytes_used': ('mysql.innodb.buffer_pool_used', GAUGE),
'Innodb_buffer_pool_bytes_total': ('mysql.innodb.buffer_pool_total', GAUGE),
'Innodb_buffer_pool_read_requests': ('mysql.innodb.buffer_pool_read_requests', RATE),
'Innodb_buffer_pool_reads': ('mysql.innodb.buffer_pool_reads', RATE),
'Innodb_buffer_pool_pages_utilization': ('mysql.innodb.buffer_pool_utilization', GAUGE),
}
# Calculated from "SHOW MASTER LOGS;"
BINLOG_VARS = {
'Binlog_space_usage_bytes': ('mysql.binlog.disk_use', GAUGE),
}
# Additional Vars found in "SHOW STATUS;"
# Will collect if [FLAG NAME] is True
OPTIONAL_STATUS_VARS = {
'Binlog_cache_disk_use': ('mysql.binlog.cache_disk_use', GAUGE),
'Binlog_cache_use': ('mysql.binlog.cache_use', GAUGE),
'Handler_commit': ('mysql.performance.handler_commit', RATE),
'Handler_delete': ('mysql.performance.handler_delete', RATE),
'Handler_prepare': ('mysql.performance.handler_prepare', RATE),
'Handler_read_first': ('mysql.performance.handler_read_first', RATE),
'Handler_read_key': ('mysql.performance.handler_read_key', RATE),
'Handler_read_next': ('mysql.performance.handler_read_next', RATE),
'Handler_read_prev': ('mysql.performance.handler_read_prev', RATE),
'Handler_read_rnd': ('mysql.performance.handler_read_rnd', RATE),
'Handler_read_rnd_next': ('mysql.performance.handler_read_rnd_next', RATE),
'Handler_rollback': ('mysql.performance.handler_rollback', RATE),
'Handler_update': ('mysql.performance.handler_update', RATE),
'Handler_write': ('mysql.performance.handler_write', RATE),
'Opened_tables': ('mysql.performance.opened_tables', RATE),
'Qcache_total_blocks': ('mysql.performance.qcache_total_blocks', GAUGE),
'Qcache_free_blocks': ('mysql.performance.qcache_free_blocks', GAUGE),
'Qcache_free_memory': ('mysql.performance.qcache_free_memory', GAUGE),
'Qcache_not_cached': ('mysql.performance.qcache_not_cached', RATE),
'Qcache_queries_in_cache': ('mysql.performance.qcache_queries_in_cache', GAUGE),
'Select_full_join': ('mysql.performance.select_full_join', RATE),
'Select_full_range_join': ('mysql.performance.select_full_range_join', RATE),
'Select_range': ('mysql.performance.select_range', RATE),
'Select_range_check': ('mysql.performance.select_range_check', RATE),
'Select_scan': ('mysql.performance.select_scan', RATE),
'Sort_merge_passes': ('mysql.performance.sort_merge_passes', RATE),
'Sort_range': ('mysql.performance.sort_range', RATE),
'Sort_rows': ('mysql.performance.sort_rows', RATE),
'Sort_scan': ('mysql.performance.sort_scan', RATE),
'Table_locks_immediate': ('mysql.performance.table_locks_immediate', GAUGE),
'Table_locks_immediate_rate': ('mysql.performance.table_locks_immediate.rate', RATE),
'Threads_cached': ('mysql.performance.threads_cached', GAUGE),
'Threads_created': ('mysql.performance.threads_created', MONOTONIC)
}
# Status Vars added in Mysql 5.6.6
OPTIONAL_STATUS_VARS_5_6_6 = {
'Table_open_cache_hits': ('mysql.performance.table_cache_hits', RATE),
'Table_open_cache_misses': ('mysql.performance.table_cache_misses', RATE),
}
# Will collect if [extra_innodb_metrics] is True
OPTIONAL_INNODB_VARS = {
'Innodb_active_transactions': ('mysql.innodb.active_transactions', GAUGE),
'Innodb_buffer_pool_bytes_data': ('mysql.innodb.buffer_pool_data', GAUGE),
'Innodb_buffer_pool_pages_data': ('mysql.innodb.buffer_pool_pages_data', GAUGE),
'Innodb_buffer_pool_pages_dirty': ('mysql.innodb.buffer_pool_pages_dirty', GAUGE),
'Innodb_buffer_pool_pages_flushed': ('mysql.innodb.buffer_pool_pages_flushed', RATE),
'Innodb_buffer_pool_pages_free': ('mysql.innodb.buffer_pool_pages_free', GAUGE),
'Innodb_buffer_pool_pages_total': ('mysql.innodb.buffer_pool_pages_total', GAUGE),
'Innodb_buffer_pool_read_ahead': ('mysql.innodb.buffer_pool_read_ahead', RATE),
'Innodb_buffer_pool_read_ahead_evicted': ('mysql.innodb.buffer_pool_read_ahead_evicted', RATE),
'Innodb_buffer_pool_read_ahead_rnd': ('mysql.innodb.buffer_pool_read_ahead_rnd', GAUGE),
'Innodb_buffer_pool_wait_free': ('mysql.innodb.buffer_pool_wait_free', MONOTONIC),
'Innodb_buffer_pool_write_requests': ('mysql.innodb.buffer_pool_write_requests', RATE),
'Innodb_checkpoint_age': ('mysql.innodb.checkpoint_age', GAUGE),
'Innodb_current_transactions': ('mysql.innodb.current_transactions', GAUGE),
'Innodb_data_fsyncs': ('mysql.innodb.data_fsyncs', RATE),
'Innodb_data_pending_fsyncs': ('mysql.innodb.data_pending_fsyncs', GAUGE),
'Innodb_data_pending_reads': ('mysql.innodb.data_pending_reads', GAUGE),
'Innodb_data_pending_writes': ('mysql.innodb.data_pending_writes', GAUGE),
'Innodb_data_read': ('mysql.innodb.data_read', RATE),
'Innodb_data_written': ('mysql.innodb.data_written', RATE),
'Innodb_dblwr_pages_written': ('mysql.innodb.dblwr_pages_written', RATE),
'Innodb_dblwr_writes': ('mysql.innodb.dblwr_writes', RATE),
'Innodb_hash_index_cells_total': ('mysql.innodb.hash_index_cells_total', GAUGE),
'Innodb_hash_index_cells_used': ('mysql.innodb.hash_index_cells_used', GAUGE),
'Innodb_history_list_length': ('mysql.innodb.history_list_length', GAUGE),
'Innodb_ibuf_free_list': ('mysql.innodb.ibuf_free_list', GAUGE),
'Innodb_ibuf_merged': ('mysql.innodb.ibuf_merged', RATE),
'Innodb_ibuf_merged_delete_marks': ('mysql.innodb.ibuf_merged_delete_marks', RATE),
'Innodb_ibuf_merged_deletes': ('mysql.innodb.ibuf_merged_deletes', RATE),
'Innodb_ibuf_merged_inserts': ('mysql.innodb.ibuf_merged_inserts', RATE),
'Innodb_ibuf_merges': ('mysql.innodb.ibuf_merges', RATE),
'Innodb_ibuf_segment_size': ('mysql.innodb.ibuf_segment_size', GAUGE),
'Innodb_ibuf_size': ('mysql.innodb.ibuf_size', GAUGE),
'Innodb_lock_structs': ('mysql.innodb.lock_structs', RATE),
'Innodb_locked_tables': ('mysql.innodb.locked_tables', GAUGE),
'Innodb_locked_transactions': ('mysql.innodb.locked_transactions', GAUGE),
'Innodb_log_waits': ('mysql.innodb.log_waits', RATE),
'Innodb_log_write_requests': ('mysql.innodb.log_write_requests', RATE),
'Innodb_log_writes': ('mysql.innodb.log_writes', RATE),
'Innodb_lsn_current': ('mysql.innodb.lsn_current', RATE),
'Innodb_lsn_flushed': ('mysql.innodb.lsn_flushed', RATE),
'Innodb_lsn_last_checkpoint': ('mysql.innodb.lsn_last_checkpoint', RATE),
'Innodb_mem_adaptive_hash': ('mysql.innodb.mem_adaptive_hash', GAUGE),
'Innodb_mem_additional_pool': ('mysql.innodb.mem_additional_pool', GAUGE),
'Innodb_mem_dictionary': ('mysql.innodb.mem_dictionary', GAUGE),
'Innodb_mem_file_system': ('mysql.innodb.mem_file_system', GAUGE),
'Innodb_mem_lock_system': ('mysql.innodb.mem_lock_system', GAUGE),
'Innodb_mem_page_hash': ('mysql.innodb.mem_page_hash', GAUGE),
'Innodb_mem_recovery_system': ('mysql.innodb.mem_recovery_system', GAUGE),
'Innodb_mem_thread_hash': ('mysql.innodb.mem_thread_hash', GAUGE),
'Innodb_mem_total': ('mysql.innodb.mem_total', GAUGE),
'Innodb_os_file_fsyncs': ('mysql.innodb.os_file_fsyncs', RATE),
'Innodb_os_file_reads': ('mysql.innodb.os_file_reads', RATE),
'Innodb_os_file_writes': ('mysql.innodb.os_file_writes', RATE),
'Innodb_os_log_pending_fsyncs': ('mysql.innodb.os_log_pending_fsyncs', GAUGE),
'Innodb_os_log_pending_writes': ('mysql.innodb.os_log_pending_writes', GAUGE),
'Innodb_os_log_written': ('mysql.innodb.os_log_written', RATE),
'Innodb_pages_created': ('mysql.innodb.pages_created', RATE),
'Innodb_pages_read': ('mysql.innodb.pages_read', RATE),
'Innodb_pages_written': ('mysql.innodb.pages_written', RATE),
'Innodb_pending_aio_log_ios': ('mysql.innodb.pending_aio_log_ios', GAUGE),
'Innodb_pending_aio_sync_ios': ('mysql.innodb.pending_aio_sync_ios', GAUGE),
'Innodb_pending_buffer_pool_flushes': ('mysql.innodb.pending_buffer_pool_flushes', GAUGE),
'Innodb_pending_checkpoint_writes': ('mysql.innodb.pending_checkpoint_writes', GAUGE),
'Innodb_pending_ibuf_aio_reads': ('mysql.innodb.pending_ibuf_aio_reads', GAUGE),
'Innodb_pending_log_flushes': ('mysql.innodb.pending_log_flushes', GAUGE),
'Innodb_pending_log_writes': ('mysql.innodb.pending_log_writes', GAUGE),
'Innodb_pending_normal_aio_reads': ('mysql.innodb.pending_normal_aio_reads', GAUGE),
'Innodb_pending_normal_aio_writes': ('mysql.innodb.pending_normal_aio_writes', GAUGE),
'Innodb_queries_inside': ('mysql.innodb.queries_inside', GAUGE),
'Innodb_queries_queued': ('mysql.innodb.queries_queued', GAUGE),
'Innodb_read_views': ('mysql.innodb.read_views', GAUGE),
'Innodb_rows_deleted': ('mysql.innodb.rows_deleted', RATE),
'Innodb_rows_inserted': ('mysql.innodb.rows_inserted', RATE),
'Innodb_rows_read': ('mysql.innodb.rows_read', RATE),
'Innodb_rows_updated': ('mysql.innodb.rows_updated', RATE),
'Innodb_s_lock_os_waits': ('mysql.innodb.s_lock_os_waits', RATE),
'Innodb_s_lock_spin_rounds': ('mysql.innodb.s_lock_spin_rounds', RATE),
'Innodb_s_lock_spin_waits': ('mysql.innodb.s_lock_spin_waits', RATE),
'Innodb_semaphore_wait_time': ('mysql.innodb.semaphore_wait_time', GAUGE),
'Innodb_semaphore_waits': ('mysql.innodb.semaphore_waits', GAUGE),
'Innodb_tables_in_use': ('mysql.innodb.tables_in_use', GAUGE),
'Innodb_x_lock_os_waits': ('mysql.innodb.x_lock_os_waits', RATE),
'Innodb_x_lock_spin_rounds': ('mysql.innodb.x_lock_spin_rounds', RATE),
'Innodb_x_lock_spin_waits': ('mysql.innodb.x_lock_spin_waits', RATE),
}
GALERA_VARS = {
'wsrep_cluster_size': ('mysql.galera.wsrep_cluster_size', GAUGE),
'wsrep_local_recv_queue_avg': ('mysql.galera.wsrep_local_recv_queue_avg', GAUGE),
'wsrep_flow_control_paused': ('mysql.galera.wsrep_flow_control_paused', GAUGE),
'wsrep_cert_deps_distance': ('mysql.galera.wsrep_cert_deps_distance', GAUGE),
'wsrep_local_send_queue_avg': ('mysql.galera.wsrep_local_send_queue_avg', GAUGE),
}
PERFORMANCE_VARS = {
'query_run_time_avg': ('mysql.performance.query_run_time.avg', GAUGE),
'perf_digest_95th_percentile_avg_us': ('mysql.performance.digest_95th_percentile.avg_us', GAUGE),
}
SCHEMA_VARS = {
'information_schema_size': ('mysql.info.schema.size', GAUGE),
}
REPLICA_VARS = {
'Seconds_Behind_Master': ('mysql.replication.seconds_behind_master', GAUGE),
'Slaves_connected': ('mysql.replication.slaves_connected', COUNT),
}
SYNTHETIC_VARS = {
'Qcache_utilization': ('mysql.performance.qcache.utilization', GAUGE),
'Qcache_instant_utilization': ('mysql.performance.qcache.utilization.instant', GAUGE),
}
class MySql(AgentCheck):
SERVICE_CHECK_NAME = 'mysql.can_connect'
SLAVE_SERVICE_CHECK_NAME = 'mysql.replication.slave_running'
MAX_CUSTOM_QUERIES = 20
def __init__(self, name, init_config, agentConfig, instances=None):
AgentCheck.__init__(self, name, init_config, agentConfig, instances)
self.mysql_version = {}
self.qcache_stats = {}
def get_library_versions(self):
return {"pymysql": pymysql.__version__}
def check(self, instance):
host, port, user, password, mysql_sock, defaults_file, tags, options, queries, ssl, connect_timeout = \
self._get_config(instance)
self._set_qcache_stats()
if (not host or not user) and not defaults_file:
raise Exception("Mysql host and user are needed.")
with self._connect(host, port, mysql_sock, user,
password, defaults_file, ssl, connect_timeout) as db:
try:
# Metadata collection
self._collect_metadata(db, host)
# Metric collection
self._collect_metrics(host, db, tags, options, queries)
self._collect_system_metrics(host, db, tags)
# keeping track of these:
self._put_qcache_stats()
except Exception as e:
self.log.exception("error!")
raise e
def _get_config(self, instance):
self.host = instance.get('server', '')
self.port = int(instance.get('port', 0))
self.mysql_sock = instance.get('sock', '')
self.defaults_file = instance.get('defaults_file', '')
user = instance.get('user', '')
password = str(instance.get('pass', ''))
tags = instance.get('tags', [])
options = instance.get('options', {})
queries = instance.get('queries', [])
ssl = instance.get('ssl', {})
connect_timeout = instance.get('connect_timeout', None)
return (self.host, self.port, user, password, self.mysql_sock,
self.defaults_file, tags, options, queries, ssl, connect_timeout)
def _set_qcache_stats(self):
host_key = self._get_host_key()
qcache_st = self.qcache_stats.get(host_key, (None, None, None))
self._qcache_hits = qcache_st[0]
self._qcache_inserts = qcache_st[1]
self._qcache_not_cached = qcache_st[2]
def _put_qcache_stats(self):
host_key = self._get_host_key()
self.qcache_stats[host_key] = (
self._qcache_hits,
self._qcache_inserts,
self._qcache_not_cached
)
def _get_host_key(self):
if self.defaults_file:
return self.defaults_file
hostkey = self.host
if self.mysql_sock:
hostkey = "{0}:{1}".format(hostkey, self.mysql_sock)
elif self.port:
hostkey = "{0}:{1}".format(hostkey, self.port)
return hostkey
@contextmanager
def _connect(self, host, port, mysql_sock, user, password, defaults_file, ssl, connect_timeout):
self.service_check_tags = [
'server:%s' % (mysql_sock if mysql_sock != '' else host),
'port:%s' % ('unix_socket' if port == 0 else port)
]
db = None
try:
ssl = dict(ssl) if ssl else None
if defaults_file != '':
db = pymysql.connect(
read_default_file=defaults_file,
ssl=ssl,
connect_timeout=connect_timeout
)
elif mysql_sock != '':
self.service_check_tags = [
'server:{0}'.format(mysql_sock),
'port:unix_socket'
]
db = pymysql.connect(
unix_socket=mysql_sock,
user=user,
passwd=password,
connect_timeout=connect_timeout
)
elif port:
db = pymysql.connect(
host=host,
port=port,
user=user,
passwd=password,
ssl=ssl,
connect_timeout=connect_timeout
)
else:
db = pymysql.connect(
host=host,
user=user,
passwd=password,
ssl=ssl,
connect_timeout=connect_timeout
)
self.log.debug("Connected to MySQL")
self.service_check(self.SERVICE_CHECK_NAME, AgentCheck.OK,
tags=self.service_check_tags)
yield db
except Exception:
self.service_check(self.SERVICE_CHECK_NAME, AgentCheck.CRITICAL,
tags=self.service_check_tags)
raise
finally:
if db:
db.close()
def _collect_metrics(self, host, db, tags, options, queries):
# Get aggregate of all VARS we want to collect
metrics = STATUS_VARS
# collect results from db
results = self._get_stats_from_status(db)
results.update(self._get_stats_from_variables(db))
if (not _is_affirmative(options.get('disable_innodb_metrics', False)) and self._is_innodb_engine_enabled(db)):
results.update(self._get_stats_from_innodb_status(db))
innodb_keys = [
'Innodb_page_size',
'Innodb_buffer_pool_pages_data',
'Innodb_buffer_pool_pages_dirty',
'Innodb_buffer_pool_pages_total',
'Innodb_buffer_pool_pages_free',
]
for inno_k in innodb_keys:
results[inno_k] = self._collect_scalar(inno_k, results)
try:
innodb_page_size = results['Innodb_page_size']
innodb_buffer_pool_pages_used = results['Innodb_buffer_pool_pages_total'] - \
results['Innodb_buffer_pool_pages_free']
if 'Innodb_buffer_pool_bytes_data' not in results:
results[
'Innodb_buffer_pool_bytes_data'] = results['Innodb_buffer_pool_pages_data'] * innodb_page_size
if 'Innodb_buffer_pool_bytes_dirty' not in results:
results[
'Innodb_buffer_pool_bytes_dirty'] = results['Innodb_buffer_pool_pages_dirty'] * innodb_page_size
if 'Innodb_buffer_pool_bytes_free' not in results:
results[
'Innodb_buffer_pool_bytes_free'] = results['Innodb_buffer_pool_pages_free'] * innodb_page_size
if 'Innodb_buffer_pool_bytes_total' not in results:
results[
'Innodb_buffer_pool_bytes_total'] = results['Innodb_buffer_pool_pages_total'] * innodb_page_size
if 'Innodb_buffer_pool_pages_utilization' not in results:
results['Innodb_buffer_pool_pages_utilization'] = innodb_buffer_pool_pages_used / \
results['Innodb_buffer_pool_pages_total']
if 'Innodb_buffer_pool_bytes_used' not in results:
results[
'Innodb_buffer_pool_bytes_used'] = innodb_buffer_pool_pages_used * innodb_page_size
except (KeyError, TypeError) as e:
self.log.error("Not all InnoDB buffer pool metrics are available, unable to compute: {0}".format(e))
if _is_affirmative(options.get('extra_innodb_metrics', False)):
self.log.debug("Collecting Extra Innodb Metrics")
metrics.update(OPTIONAL_INNODB_VARS)
# Binary log statistics
if self._get_variable_enabled(results, 'log_bin'):
results[
'Binlog_space_usage_bytes'] = self._get_binary_log_stats(db)
# Compute key cache utilization metric
key_blocks_unused = self._collect_scalar('Key_blocks_unused', results)
key_cache_block_size = self._collect_scalar('key_cache_block_size', results)
key_buffer_size = self._collect_scalar('key_buffer_size', results)
results['Key_buffer_size'] = key_buffer_size
try:
# can be null if the unit is missing in the user config (4 instead of 4G for eg.)
if key_buffer_size != 0:
key_cache_utilization = 1 - ((key_blocks_unused * key_cache_block_size) / key_buffer_size)
results['Key_cache_utilization'] = key_cache_utilization
results['Key_buffer_bytes_used'] = self._collect_scalar(
'Key_blocks_used', results) * key_cache_block_size
results['Key_buffer_bytes_unflushed'] = self._collect_scalar(
'Key_blocks_not_flushed', results) * key_cache_block_size
except TypeError as e:
self.log.error("Not all Key metrics are available, unable to compute: {0}".format(e))
metrics.update(VARIABLES_VARS)
metrics.update(INNODB_VARS)
metrics.update(BINLOG_VARS)
if _is_affirmative(options.get('extra_status_metrics', False)):
self.log.debug("Collecting Extra Status Metrics")
metrics.update(OPTIONAL_STATUS_VARS)
if self._version_compatible(db, host, "5.6.6"):
metrics.update(OPTIONAL_STATUS_VARS_5_6_6)
if _is_affirmative(options.get('galera_cluster', False)):
# already in result-set after 'SHOW STATUS' just add vars to collect
self.log.debug("Collecting Galera Metrics.")
metrics.update(GALERA_VARS)
performance_schema_enabled = self._get_variable_enabled(results, 'performance_schema')
above_560 = self._version_compatible(db, host, "5.6.0")
if _is_affirmative(options.get('extra_performance_metrics', False)) and above_560 and \
performance_schema_enabled:
# report avg query response time per schema to Datadog
results['perf_digest_95th_percentile_avg_us'] = self._get_query_exec_time_95th_us(db)
results['query_run_time_avg'] = self._query_exec_time_per_schema(db)
metrics.update(PERFORMANCE_VARS)
if _is_affirmative(options.get('schema_size_metrics', False)):
# report avg query response time per schema to Datadog
results['information_schema_size'] = self._query_size_per_schema(db)
metrics.update(SCHEMA_VARS)
if _is_affirmative(options.get('replication', False)):
# Get replica stats
results.update(self._get_replica_stats(db))
results.update(self._get_slave_status(db, above_560))
metrics.update(REPLICA_VARS)
# get slave running form global status page
slave_running_status = AgentCheck.UNKNOWN
slave_running = self._collect_string('Slave_running', results)
binlog_running = results.get('Binlog_enabled', False)
# slaves will only be collected iff user has PROCESS privileges.
slaves = self._collect_scalar('Slaves_connected', results)
# MySQL 5.7.x might not have 'Slave_running'. See: https://bugs.mysql.com/bug.php?id=78544
# look at replica vars collected at the top of if-block
if self._version_compatible(db, host, "5.7.0"):
slave_io_running = self._collect_string('Slave_IO_Running', results)
slave_sql_running = self._collect_string('Slave_SQL_Running', results)
if slave_io_running:
slave_io_running = (slave_io_running.lower().strip() == "yes")
if slave_sql_running:
slave_sql_running = (slave_sql_running.lower().strip() == "yes")
if not (slave_io_running is None and slave_sql_running is None):
if slave_io_running and slave_sql_running:
slave_running_status = AgentCheck.OK
elif not slave_io_running and not slave_sql_running:
slave_running_status = AgentCheck.CRITICAL
else:
# not everything is running smoothly
slave_running_status = AgentCheck.WARNING
# if we don't yet have a status - inspect
if slave_running_status == AgentCheck.UNKNOWN:
if self._is_master(slaves, binlog_running): # master
if slaves > 0 and binlog_running:
slave_running_status = AgentCheck.OK
else:
slave_running_status = AgentCheck.WARNING
elif slave_running: # slave (or standalone)
if slave_running.lower().strip() == 'on':
slave_running_status = AgentCheck.OK
else:
slave_running_status = AgentCheck.CRITICAL
# deprecated in favor of service_check("mysql.replication.slave_running")
self.gauge(self.SLAVE_SERVICE_CHECK_NAME, (1 if slave_running_status == AgentCheck.OK else 0), tags=tags)
self.service_check(self.SLAVE_SERVICE_CHECK_NAME, slave_running_status, tags=self.service_check_tags)
# "synthetic" metrics
metrics.update(SYNTHETIC_VARS)
self._compute_synthetic_results(results)
# remove uncomputed metrics
for k in SYNTHETIC_VARS:
if k not in results:
metrics.pop(k, None)
# add duped metrics - reporting some as both rate and gauge
dupes = [('Table_locks_waited', 'Table_locks_waited_rate'),
('Table_locks_immediate', 'Table_locks_immediate_rate')]
for src, dst in dupes:
if src in results:
results[dst] = results[src]
self._submit_metrics(metrics, results, tags)
# Collect custom query metrics
# Max of 20 queries allowed
if isinstance(queries, list):
for index, check in enumerate(queries[:self.MAX_CUSTOM_QUERIES]):
total_tags = tags + check.get('tags', [])
self._collect_dict(check['type'], {check['field']: check['metric']}, check['query'], db, tags=total_tags)
if len(queries) > self.MAX_CUSTOM_QUERIES:
self.warning("Maximum number (%s) of custom queries reached. Skipping the rest."
% self.MAX_CUSTOM_QUERIES)
def _is_master(self, slaves, binlog):
if slaves > 0 or binlog:
return True
return False
def _collect_metadata(self, db, host):
version = self._get_version(db, host)
self.service_metadata('version', ".".join(version))
def _submit_metrics(self, variables, dbResults, tags):
for variable, metric in variables.iteritems():
metric_name, metric_type = metric
for tag, value in self._collect_all_scalars(variable, dbResults):
metric_tags = list(tags)
if tag:
metric_tags.append(tag)
if value is not None:
if metric_type == RATE:
self.rate(metric_name, value, tags=metric_tags)
elif metric_type == GAUGE:
self.gauge(metric_name, value, tags=metric_tags)
elif metric_type == COUNT:
self.count(metric_name, value, tags=metric_tags)
elif metric_type == MONOTONIC:
self.monotonic_count(metric_name, value, tags=metric_tags)
def _version_compatible(self, db, host, compat_version):
# some patch version numbers contain letters (e.g. 5.0.51a)
# so let's be careful when we compute the version number
try:
mysql_version = self._get_version(db, host)
except Exception as e:
self.warning("Cannot compute mysql version, assuming it's older.: %s"
% str(e))
return False
self.log.debug("MySQL version %s" % mysql_version)
patchlevel = int(re.match(r"([0-9]+)", mysql_version[2]).group(1))
version = (int(mysql_version[0]), int(mysql_version[1]), patchlevel)
return version > compat_version
def _get_version(self, db, host):
hostkey = self._get_host_key()
if hostkey in self.mysql_version:
version = self.mysql_version[hostkey]
return version
# Get MySQL version
with closing(db.cursor()) as cursor:
cursor.execute('SELECT VERSION()')
result = cursor.fetchone()
# Version might include a description e.g. 4.1.26-log.
# See
# http://dev.mysql.com/doc/refman/4.1/en/information-functions.html#function_version
version = result[0].split('-')
version = version[0].split('.')
self.mysql_version[hostkey] = version
return version
def _collect_all_scalars(self, key, dictionary):
if key not in dictionary or dictionary[key] is None:
yield None, None
elif isinstance(dictionary[key], dict):
for tag, _ in dictionary[key].iteritems():
yield tag, self._collect_type(tag, dictionary[key], float)
else:
yield None, self._collect_type(key, dictionary, float)
def _collect_scalar(self, key, dict):
return self._collect_type(key, dict, float)
def _collect_string(self, key, dict):
return self._collect_type(key, dict, unicode)
def _collect_type(self, key, dict, the_type):
self.log.debug("Collecting data with %s" % key)
if key not in dict:
self.log.debug("%s returned None" % key)
return None
self.log.debug("Collecting done, value %s" % dict[key])
return the_type(dict[key])
def _collect_dict(self, metric_type, field_metric_map, query, db, tags):
"""
Query status and get a dictionary back.
Extract each field out of the dictionary
and stuff it in the corresponding metric.
query: show status...
field_metric_map: {"Seconds_behind_master": "mysqlSecondsBehindMaster"}
"""
try:
with closing(db.cursor()) as cursor:
cursor.execute(query)
result = cursor.fetchone()
if result is not None:
for field in field_metric_map.keys():
# Get the agent metric name from the column name
metric = field_metric_map[field]
# Find the column name in the cursor description to identify the column index
# http://www.python.org/dev/peps/pep-0249/
# cursor.description is a tuple of (column_name, ..., ...)
try:
col_idx = [d[0].lower() for d in cursor.description].index(field.lower())
self.log.debug("Collecting metric: %s" % metric)
if result[col_idx] is not None:
self.log.debug(
"Collecting done, value %s" % result[col_idx])
if metric_type == GAUGE:
self.gauge(metric, float(
result[col_idx]), tags=tags)
elif metric_type == RATE:
self.rate(metric, float(
result[col_idx]), tags=tags)
else:
self.gauge(metric, float(
result[col_idx]), tags=tags)
else:
self.log.debug(
"Received value is None for index %d" % col_idx)
except ValueError:
self.log.exception("Cannot find %s in the columns %s"
% (field, cursor.description))
except Exception:
self.warning("Error while running %s\n%s" %
(query, traceback.format_exc()))
self.log.exception("Error while running %s" % query)
def _collect_system_metrics(self, host, db, tags):
pid = None
# The server needs to run locally, accessed by TCP or socket
if host in ["localhost", "127.0.0.1"] or db.port == long(0):
pid = self._get_server_pid(db)
if pid:
self.log.debug("System metrics for mysql w\ pid: %s" % pid)
# At last, get mysql cpu data out of psutil or procfs
try:
ucpu, scpu = None, None
if PSUTIL_AVAILABLE:
proc = psutil.Process(pid)
ucpu = proc.cpu_times()[0]
scpu = proc.cpu_times()[1]
if ucpu and scpu:
self.rate("mysql.performance.user_time", ucpu, tags=tags)
# should really be system_time
self.rate("mysql.performance.kernel_time", scpu, tags=tags)
self.rate("mysql.performance.cpu_time", ucpu+scpu, tags=tags)
except Exception:
self.warning("Error while reading mysql (pid: %s) procfs data\n%s"
% (pid, traceback.format_exc()))
def _get_server_pid(self, db):
pid = None
# Try to get pid from pid file, it can fail for permission reason
pid_file = None
try:
with closing(db.cursor()) as cursor:
cursor.execute("SHOW VARIABLES LIKE 'pid_file'")
pid_file = cursor.fetchone()[1]
except Exception:
self.warning("Error while fetching pid_file variable of MySQL.")
if pid_file is not None:
self.log.debug("pid file: %s" % str(pid_file))
try:
f = open(pid_file)
pid = int(f.readline())
f.close()
except IOError:
self.log.debug("Cannot read mysql pid file %s" % pid_file)
# If pid has not been found, read it from ps
if pid is None and PSUTIL_AVAILABLE:
try:
for proc in psutil.process_iter():
if proc.name() == "mysqld":
pid = proc.pid
except Exception:
self.log.exception("Error while fetching mysql pid from psutil")
return pid
def _get_stats_from_status(self, db):
with closing(db.cursor()) as cursor:
cursor.execute("SHOW /*!50002 GLOBAL */ STATUS;")
results = dict(cursor.fetchall())
return results
def _get_stats_from_variables(self, db):
with closing(db.cursor()) as cursor:
cursor.execute("SHOW GLOBAL VARIABLES;")
results = dict(cursor.fetchall())
return results
def _get_binary_log_stats(self, db):
try:
with closing(db.cursor()) as cursor:
cursor.execute("SHOW BINARY LOGS;")
master_logs = dict(cursor.fetchall())
binary_log_space = 0
for key, value in master_logs.iteritems():
binary_log_space += value
return binary_log_space
except (pymysql.err.InternalError, pymysql.err.OperationalError) as e:
self.warning("Privileges error accessing the BINARY LOGS (must grant REPLICATION CLIENT): %s" % str(e))
return None
def _is_innodb_engine_enabled(self, db):
# Whether InnoDB engine is available or not can be found out either
# from the output of SHOW ENGINES or from information_schema.ENGINES
# table. Later is choosen because that involves no string parsing.
try:
with closing(db.cursor()) as cursor:
cursor.execute(
"select engine from information_schema.ENGINES where engine='InnoDB' and \
support != 'no' and support != 'disabled'"
)
return (cursor.rowcount > 0)
except (pymysql.err.InternalError, pymysql.err.OperationalError, pymysql.err.NotSupportedError) as e:
self.warning("Possibly innodb stats unavailable - error querying engines table: %s" % str(e))
return False
def _get_replica_stats(self, db):
try:
with closing(db.cursor(pymysql.cursors.DictCursor)) as cursor:
replica_results = {}
cursor.execute("SHOW SLAVE STATUS;")
slave_results = cursor.fetchone()
if slave_results:
replica_results.update(slave_results)
cursor.execute("SHOW MASTER STATUS;")
binlog_results = cursor.fetchone()
if binlog_results:
replica_results.update({'Binlog_enabled': True})
return replica_results
except (pymysql.err.InternalError, pymysql.err.OperationalError) as e:
self.warning("Privileges error getting replication status (must grant REPLICATION CLIENT): %s" % str(e))
return {}
def _get_slave_status(self, db, above_560):
"""
Retrieve the slaves' statuses using:
1. The `performance_schema.threads` table. Non-blocking, requires version > 5.6.0
2. The `information_schema.processlist` table. Blocking
"""
try:
with closing(db.cursor()) as cursor:
if above_560:
# Query `performance_schema.threads` instead of `
# information_schema.processlist` to avoid mutex impact on performance.
cursor.execute("SELECT THREAD_ID, NAME FROM performance_schema.threads WHERE NAME LIKE '%worker'")
else:
cursor.execute("SELECT * FROM INFORMATION_SCHEMA.PROCESSLIST WHERE COMMAND LIKE '%Binlog dump%'")
slave_results = cursor.fetchall()
slaves = 0
for row in slave_results:
slaves += 1
return {'Slaves_connected': slaves}
except (pymysql.err.InternalError, pymysql.err.OperationalError) as e:
self.warning("Privileges error accessing the process tables (must grant PROCESS): %s" % str(e))
return {}
def _get_stats_from_innodb_status(self, db):
# There are a number of important InnoDB metrics that are reported in
# InnoDB status but are not otherwise present as part of the STATUS
# variables in MySQL. Majority of these metrics are reported though
# as a part of STATUS variables in Percona Server and MariaDB.
# Requires querying user to have PROCESS privileges.
try:
with closing(db.cursor()) as cursor:
cursor.execute("SHOW /*!50000 ENGINE*/ INNODB STATUS")
except (pymysql.err.InternalError, pymysql.err.OperationalError, pymysql.err.NotSupportedError) as e:
self.warning("Privilege error or engine unavailable accessing the INNODB status \
tables (must grant PROCESS): %s" % str(e))
return {}
if cursor.rowcount < 1:
# No data from SHOW ENGINE STATUS, even though the engine is enabled.
# EG: This could be an Aurora Read Instance
self.warning("""'SHOW ENGINE INNODB STATUS' returned no data.
If you are running an Aurora Read Instace, this is expected and you should disable the innodb metrics collection""")
return {}
innodb_status = cursor.fetchone()
innodb_status_text = innodb_status[2]
results = defaultdict(int)
# Here we now parse InnoDB STATUS one line at a time
# This is heavily inspired by the Percona monitoring plugins work
txn_seen = False
prev_line = ''
for line in innodb_status_text.splitlines():
line = line.strip()
row = re.split(" +", line)
row = [item.strip(',') for item in row]
row = [item.strip(';') for item in row]
row = [item.strip('[') for item in row]
row = [item.strip(']') for item in row]
# SEMAPHORES
if line.find('Mutex spin waits') == 0:
# Mutex spin waits 79626940, rounds 157459864, OS waits 698719
# Mutex spin waits 0, rounds 247280272495, OS waits 316513438
results['Innodb_mutex_spin_waits'] = long(row[3])
results['Innodb_mutex_spin_rounds'] = long(row[5])
results['Innodb_mutex_os_waits'] = long(row[8])
elif line.find('RW-shared spins') == 0 and line.find(';') > 0:
# RW-shared spins 3859028, OS waits 2100750; RW-excl spins
# 4641946, OS waits 1530310
results['Innodb_s_lock_spin_waits'] = long(row[2])
results['Innodb_x_lock_spin_waits'] = long(row[8])
results['Innodb_s_lock_os_waits'] = long(row[5])
results['Innodb_x_lock_os_waits'] = long(row[11])
elif line.find('RW-shared spins') == 0 and line.find('; RW-excl spins') == -1:
# Post 5.5.17 SHOW ENGINE INNODB STATUS syntax
# RW-shared spins 604733, rounds 8107431, OS waits 241268
results['Innodb_s_lock_spin_waits'] = long(row[2])
results['Innodb_s_lock_spin_rounds'] = long(row[4])
results['Innodb_s_lock_os_waits'] = long(row[7])
elif line.find('RW-excl spins') == 0:
# Post 5.5.17 SHOW ENGINE INNODB STATUS syntax
# RW-excl spins 604733, rounds 8107431, OS waits 241268
results['Innodb_x_lock_spin_waits'] = long(row[2])
results['Innodb_x_lock_spin_rounds'] = long(row[4])
results['Innodb_x_lock_os_waits'] = long(row[7])
elif line.find('seconds the semaphore:') > 0:
# --Thread 907205 has waited at handler/ha_innodb.cc line 7156 for 1.00 seconds the semaphore:
results['Innodb_semaphore_waits'] += 1
results[
'Innodb_semaphore_wait_time'] += long(float(row[9])) * 1000
# TRANSACTIONS
elif line.find('Trx id counter') == 0:
# The beginning of the TRANSACTIONS section: start counting
# transactions
# Trx id counter 0 1170664159
# Trx id counter 861B144C
txn_seen = True
elif line.find('History list length') == 0:
# History list length 132
results['Innodb_history_list_length'] = long(row[3])
elif txn_seen and line.find('---TRANSACTION') == 0:
# ---TRANSACTION 0, not started, process no 13510, OS thread id 1170446656
results['Innodb_current_transactions'] += 1
if line.find('ACTIVE') > 0:
results['Innodb_active_transactions'] += 1
elif txn_seen and line.find('------- TRX HAS BEEN') == 0:
# ------- TRX HAS BEEN WAITING 32 SEC FOR THIS LOCK TO BE GRANTED:
results['Innodb_row_lock_time'] += long(row[5]) * 1000
elif line.find('read views open inside InnoDB') > 0:
# 1 read views open inside InnoDB
results['Innodb_read_views'] = long(row[0])
elif line.find('mysql tables in use') == 0:
# mysql tables in use 2, locked 2
results['Innodb_tables_in_use'] += long(row[4])
results['Innodb_locked_tables'] += long(row[6])
elif txn_seen and line.find('lock struct(s)') > 0:
# 23 lock struct(s), heap size 3024, undo log entries 27
# LOCK WAIT 12 lock struct(s), heap size 3024, undo log entries 5
# LOCK WAIT 2 lock struct(s), heap size 368
if line.find('LOCK WAIT') == 0:
results['Innodb_lock_structs'] += long(row[2])
results['Innodb_locked_transactions'] += 1
elif line.find('ROLLING BACK') == 0:
# ROLLING BACK 127539 lock struct(s), heap size 15201832,
# 4411492 row lock(s), undo log entries 1042488
results['Innodb_lock_structs'] += long(row[2])
else:
results['Innodb_lock_structs'] += long(row[0])
# FILE I/O