Rechercher dans le manuel MySQL
26.12.17.5 Transaction Summary Tables
The Performance Schema maintains tables for collecting current and recent transaction events, and aggregates that information in summary tables. Section 26.12.7, “Performance Schema Transaction Tables” describes the events on which transaction summaries are based. See that discussion for information about the content of transaction events, the current and historical transaction event tables, and how to control transaction event collection, which is disabled by default.
Example transaction event summary information:
- FROM performance_schema.events_transactions_summary_global_by_event_name
- LIMIT 1\G
- *************************** 1. row ***************************
- EVENT_NAME: transaction
- COUNT_STAR: 5
- SUM_TIMER_WAIT: 19550092000
- MIN_TIMER_WAIT: 2954148000
- AVG_TIMER_WAIT: 3910018000
- MAX_TIMER_WAIT: 5486275000
- COUNT_READ_WRITE: 5
- SUM_TIMER_READ_WRITE: 19550092000
- MIN_TIMER_READ_WRITE: 2954148000
- AVG_TIMER_READ_WRITE: 3910018000
- MAX_TIMER_READ_WRITE: 5486275000
- COUNT_READ_ONLY: 0
- SUM_TIMER_READ_ONLY: 0
- MIN_TIMER_READ_ONLY: 0
- AVG_TIMER_READ_ONLY: 0
- MAX_TIMER_READ_ONLY: 0
Each transaction summary table has one or more grouping
columns to indicate how the table aggregates events. Event
names refer to names of event instruments in the
setup_instruments
table:
events_transactions_summary_by_account_by_event_name
hasUSER
,HOST
, andEVENT_NAME
columns. Each row summarizes events for a given account (user and host combination) and event name.events_transactions_summary_by_host_by_event_name
hasHOST
andEVENT_NAME
columns. Each row summarizes events for a given host and event name.events_transactions_summary_by_thread_by_event_name
hasTHREAD_ID
andEVENT_NAME
columns. Each row summarizes events for a given thread and event name.events_transactions_summary_by_user_by_event_name
hasUSER
andEVENT_NAME
columns. Each row summarizes events for a given user and event name.events_transactions_summary_global_by_event_name
has anEVENT_NAME
column. Each row summarizes events for a given event name.
Each transaction summary table has these summary columns containing aggregated values:
COUNT_STAR
,SUM_TIMER_WAIT
,MIN_TIMER_WAIT
,AVG_TIMER_WAIT
,MAX_TIMER_WAIT
These columns are analogous to the columns of the same names in the wait event summary tables (see Section 26.12.17.1, “Wait Event Summary Tables”), except that the transaction summary tables aggregate events from
events_transactions_current
rather thanevents_waits_current
. These columns summarize read-write and read-only transactions.COUNT_READ_WRITE
,SUM_TIMER_READ_WRITE
,MIN_TIMER_READ_WRITE
,AVG_TIMER_READ_WRITE
,MAX_TIMER_READ_WRITE
These are similar to the
COUNT_STAR
and
columns, but summarize read-write transactions only. The transaction access mode specifies whether transactions operate in read/write or read-only mode.xxx
_TIMER_WAITCOUNT_READ_ONLY
,SUM_TIMER_READ_ONLY
,MIN_TIMER_READ_ONLY
,AVG_TIMER_READ_ONLY
,MAX_TIMER_READ_ONLY
These are similar to the
COUNT_STAR
and
columns, but summarize read-only transactions only. The transaction access mode specifies whether transactions operate in read/write or read-only mode.xxx
_TIMER_WAIT
The transaction summary tables have these indexes:
events_transactions_summary_by_account_by_event_name
:Primary key on (
USER
,HOST
,EVENT_NAME
)
events_transactions_summary_by_host_by_event_name
:Primary key on (
HOST
,EVENT_NAME
)
events_transactions_summary_by_thread_by_event_name
:Primary key on (
THREAD_ID
,EVENT_NAME
)
events_transactions_summary_by_user_by_event_name
:Primary key on (
USER
,EVENT_NAME
)
events_transactions_summary_global_by_event_name
:Primary key on (
EVENT_NAME
)
TRUNCATE TABLE
is permitted for
transaction summary tables. It has these effects:
For summary tables not aggregated by account, host, or user, truncation resets the summary columns to zero rather than removing rows.
For summary tables aggregated by account, host, or user, truncation removes rows for accounts, hosts, or users with no connections, and resets the summary columns to zero for the remaining rows.
In addition, each transaction summary table that is aggregated
by account, host, user, or thread is implicitly truncated by
truncation of the connection table on which it depends, or
truncation of
events_transactions_summary_global_by_event_name
.
For details, see
Section 26.12.8, “Performance Schema Connection Tables”.
Transaction Aggregation Rules
Transaction event collection occurs without regard to isolation level, access mode, or autocommit mode.
Transaction event collection occurs for all non-aborted transactions initiated by the server, including empty transactions.
Read-write transactions are generally more resource intensive than read-only transactions, therefore transaction summary tables include separate aggregate columns for read-write and read-only transactions.
Resource requirements may also vary with transaction isolation level. However, presuming that only one isolation level would be used per server, aggregation by isolation level is not provided.
Traduction non disponible
Le manuel MySQL n'est pas encore traduit en français sur l'infobrol. Seule la version anglaise est disponible pour l'instant.
Document créé le 26/06/2006, dernière modification le 26/10/2018
Source du document imprimé : https://www.gaudry.be/mysql-rf-transaction-summary-tables.html
L'infobrol est un site personnel dont le contenu n'engage que moi. Le texte est mis à disposition sous licence CreativeCommons(BY-NC-SA). Plus d'info sur les conditions d'utilisation et sur l'auteur.
Références
Ces références et liens indiquent des documents consultés lors de la rédaction de cette page, ou qui peuvent apporter un complément d'information, mais les auteurs de ces sources ne peuvent être tenus responsables du contenu de cette page.
L'auteur de ce site est seul responsable de la manière dont sont présentés ici les différents concepts, et des libertés qui sont prises avec les ouvrages de référence. N'oubliez pas que vous devez croiser les informations de sources multiples afin de diminuer les risques d'erreurs.