寫了一個簡單的工具類,獲取數據庫的表、表中字段、字段類型、字段註釋等信息。代碼如下:
package com.lnjecit.generator.util;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.sql.*;
import java.util.ArrayList;
import java.util.List;
public class DatabaseUtil {
private final static Logger LOGGER = LoggerFactory.getLogger(DatabaseUtil.class);
private static final String DRIVER = "com.mysql.jdbc.Driver";
private static final String URL = "jdbc:mysql://localhost:3306/javaweb?useUnicode=true&characterEncoding=utf8&serverTimezone=Asia/Shanghai";
private static final String USERNAME = "root";
private static final String PASSWORD = "mysql";
private static final String SQL = "SELECT * FROM ";// 數據庫操作
static {
try {
Class.forName(DRIVER);
} catch (ClassNotFoundException e) {
LOGGER.error("can not load jdbc driver", e);
}
}
/**
* 獲取數據庫連接
*
* @return
*/
public static Connection getConnection() {
Connection conn = null;
try {
conn = DriverManager.getConnection(URL, USERNAME, PASSWORD);
} catch (SQLException e) {
LOGGER.error("get connection failure", e);
}
return conn;
}
/**
* 關閉數據庫連接
* @param conn
*/
public static void closeConnection(Connection conn) {
if(conn != null) {
try {
conn.close();
} catch (SQLException e) {
LOGGER.error("close connection failure", e);
}
}
}
/**
* 獲取數據庫下的所有表名
*/
public static List<String> getTableNames() {
List<String> tableNames = new ArrayList<>();
Connection conn = getConnection();
ResultSet rs = null;
try {
//獲取數據庫的元數據
DatabaseMetaData db = conn.getMetaData();
System.out.println("conn.getCatalog() = " + conn.getCatalog());
//從元數據中獲取到所有的表名
rs = db.getTables(conn.getCatalog(), null, null, new String[] { "TABLE" });
while(rs.next()) {
String tableName = (String) rs.getObject("TABLE_NAME");
System.out.println("tableName:" + tableName);
tableNames.add(rs.getString(3));
}
} catch (SQLException e) {
LOGGER.error("getTableNames failure", e);
} finally {
try {
rs.close();
closeConnection(conn);
} catch (SQLException e) {
LOGGER.error("close ResultSet failure", e);
}
}
return tableNames;
}
/**
* 獲取表中所有字段名稱
* @param tableName 表名
* @return
*/
public static List<String> getColumnNames(String tableName) {
List<String> columnNames = new ArrayList<>();
//與數據庫的連接
Connection conn = getConnection();
PreparedStatement pStemt = null;
String tableSql = SQL + tableName;
try {
pStemt = conn.prepareStatement(tableSql);
//結果集元數據
ResultSetMetaData rsmd = pStemt.getMetaData();
//表列數
int size = rsmd.getColumnCount();
for (int i = 0; i < size; i++) {
columnNames.add(rsmd.getColumnName(i + 1));
}
} catch (SQLException e) {
LOGGER.error("getColumnNames failure", e);
} finally {
if (pStemt != null) {
try {
pStemt.close();
closeConnection(conn);
} catch (SQLException e) {
LOGGER.error("getColumnNames close pstem and connection failure", e);
}
}
}
return columnNames;
}
/**
* 獲取表中所有字段類型
* @param tableName
* @return
*/
public static List<String> getColumnTypes(String tableName) {
List<String> columnTypes = new ArrayList<>();
//與數據庫的連接
Connection conn = getConnection();
PreparedStatement pStemt = null;
String tableSql = SQL + tableName;
try {
pStemt = conn.prepareStatement(tableSql);
//結果集元數據
ResultSetMetaData rsmd = pStemt.getMetaData();
//表列數
int size = rsmd.getColumnCount();
for (int i = 0; i < size; i++) {
columnTypes.add(rsmd.getColumnTypeName(i + 1));
}
} catch (SQLException e) {
LOGGER.error("getColumnTypes failure", e);
} finally {
if (pStemt != null) {
try {
pStemt.close();
closeConnection(conn);
} catch (SQLException e) {
LOGGER.error("getColumnTypes close pstem and connection failure", e);
}
}
}
return columnTypes;
}
/**
* 獲取表中字段的所有註釋
* @param tableName
* @return
*/
public static List<String> getColumnComments(String tableName) {
List<String> columnTypes = new ArrayList<>();
//與數據庫的連接
Connection conn = getConnection();
PreparedStatement pStemt = null;
String tableSql = SQL + tableName;
List<String> columnComments = new ArrayList<>();//列名註釋集合
ResultSet rs = null;
try {
pStemt = conn.prepareStatement(tableSql);
rs = pStemt.executeQuery("show full columns from " + tableName);
while (rs.next()) {
columnComments.add(rs.getString("Comment"));
}
} catch (SQLException e) {
e.printStackTrace();
} finally {
if (rs != null) {
try {
rs.close();
closeConnection(conn);
} catch (SQLException e) {
LOGGER.error("getColumnComments close ResultSet and connection failure", e);
}
}
}
return columnComments;
}
public static void main(String[] args) {
List<String> tableNames = getTableNames();
System.out.println("tableNames:" + tableNames);
for (String tableName : tableNames) {
System.out.println("ColumnNames:" + getColumnNames(tableName));
System.out.println("ColumnTypes:" + getColumnTypes(tableName));
System.out.println("ColumnComments:" + getColumnComments(tableName));
}
}
}
運行代碼之前,先將數據庫配置進行修改,再運行代碼就可以獲取數據庫表的詳細結構了。
獲取MySQL數據庫表結構的信息(字段名,字段類型,註釋等)_select column_name,data_type,column_comment-CSDN博客
直接複製查詢用就懂了!!
select COLUMN_NAME,DATA_TYPE,COLUMN_COMMENT from information_schema.columns where TABLE_NAME='表名'
或者
select COLUMN_NAME,DATA_TYPE,COLUMN_COMMENT from information_schema.COLUMNS where table_name = '表名' and table_schema = '數據庫名稱';
或者
SHOW FULL COLUMNS FROM 表名
information_schema.columns:MySQL的information_schema庫中有個COLUMNS表,裏面記錄了mysql所有庫中所有表的字段信息,該表信息如下
COLUMN_NAME:字段名
DATA_TYPE:數據類型
COLUMN_COMMENT :註釋
大佬有話說:
- MySQL中表的字段信息查詢--information_schema.COLUMNS_lkforce的博客-CSDN博客_mysql獲取表字段信息
- Sql中獲取表結構(字段名稱,類型,長度,說明) - InDulGed - 博客園
- 4.2.2 查看錶結構 SHOW COLUMNS 或DESCRIBE_Simon@的博客-CSDN博客_describe語句查看錶
-
SHOW FULL COLUMNS FROM 表名 //獲取表結構的所有信息(含註釋)
-
-
SHOW COLUMNS FROM 表名 //獲取表結構的信息
-
-
DESCRIBE 數據表名 //獲取表結構的信息( 其中DESCRIBE 可已簡寫成DESC)
-
-
DESCRIBE 數據表名 列名 //獲取表結構某一列的信息
-
-
SHOW INDEX FROM <表名> //查看錶索引
MySQL 中information_schema、mysql、performance_schema、sys 簡介
一、information_schema簡介
在MySQL中,把 information_schema 看作是一個數據庫,確切說是信息數據庫。其中保存着關於MySQL服務器所維護的所有其他數據庫的信息。如數據庫名,數據庫的表,表欄的數據類型與訪問權 限等。在INFORMATION_SCHEMA中,有數個只讀表。它們實際上是視圖,而不是基本表,因此,你將無法看到與之相關的任何文件。
information_schema數據庫表說明:1 1、SCHEMATA表:提供了當前mysql實例中所有數據庫的信息。是show databases的結果取之此表。 2 3 2、TABLES表:提供了關於數據庫中的表的信息(包括視圖)。詳細表述了某個表屬於哪個schema,表類型,表引擎,創建時間等信息。是show tables from schemaname的結果取之此表。 4 5 3、COLUMNS表:提供了表中的列信息。詳細表述了某張表的所有列以及每個列的信息。是show columns from schemaname.tablename的結果取之此表。 6 7 4、STATISTICS表:提供了關於表索引的信息。是show index from schemaname.tablename的結果取之此表。 8 9 5、USER_PRIVILEGES(用戶權限)表:給出了關於全程權限的信息。該信息源自mysql.user授權表。是非標準表。 10 11 6、SCHEMA_PRIVILEGES(方案權限)表:給出了關於方案(數據庫)權限的信息。該信息來自mysql.db授權表。是非標準表。 12 13 7、TABLE_PRIVILEGES(表權限)表:給出了關於表權限的信息。該信息源自mysql.tables_priv授權表。是非標準表。 14 15 8、COLUMN_PRIVILEGES(列權限)表:給出了關於列權限的信息。該信息源自mysql.columns_priv授權表。是非標準表。 16 17 9、CHARACTER_SETS(字符集)表:提供了mysql實例可用字符集的信息。是SHOW CHARACTER SET結果集取之此表。 18 19 10、COLLATIONS表:提供了關於各字符集的對照信息。 20 21 11、COLLATION_CHARACTER_SET_APPLICABILITY表:指明瞭可用於校對的字符集。這些列等效於SHOW COLLATION的前兩個顯示字段。 22 23 12、TABLE_CONSTRAINTS表:描述了存在約束的表。以及表的約束類型。 24 25 13、KEY_COLUMN_USAGE表:描述了具有約束的鍵列。 26 27 14、ROUTINES表:提供了關於存儲子程序(存儲程序和函數)的信息。此時,ROUTINES表不包含自定義函數(UDF)。名爲“mysql.proc name”的列指明瞭對應於INFORMATION_SCHEMA.ROUTINES表的mysql.proc表列。 28 29 15、VIEWS表:給出了關於數據庫中的視圖的信息。需要有show views權限,否則無法查看視圖信息。 30 31 16、TRIGGERS表:提供了關於觸發程序的信息。必須有super權限才能查看該表
查看引擎
information_schema.ENGINS 對應於 show engines;查看數據庫
information_schema.SCHEMATA 對應於 show databases;查看錶
information_schema.TABLES 對應於 show tables;查看列
information_schema.COLUMNS 對應於show columns from table_name查看索引
information_schema.STATISTICS 對應於show index from table_name
查看線程
information_schema.PROCESSLIST 對應於 show processlist二.MySQL 庫表簡介
在mysql數據庫中,有mysql_install_db腳本初始化權限表,存儲權限的表有: 1、user表: 用戶列、權限列、安全列、資源控制列 2、db表 : 用戶列、權限列 3、host表 4、table_priv表 5、columns_priv表 6、proc_priv表
三.sys庫表簡介
sys_config : 這是在這個系統庫上存在的唯一一個表了, 表結構如下: CREATE TABLE `sys_config` ( `variable` varchar(128) NOT NULL, `value` varchar(128) DEFAULT NULL, `set_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, `set_by` varchar(128) DEFAULT NULL, PRIMARY KEY (`variable`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 • variable : 配置選項名稱 • value : 配置選項值 • set_time: 該行配置修改的時間 • set_by : 該行配置信息修改者,如果從被安裝沒有修改過,那麼這個數據應該爲NULL 這裏寫圖片描述 以上值的會話變量爲@sys.+表中variable字段,譬如:@sys.statement_truncate_len 可以set @sys.statement_truncate_len = 32 臨時改變值,在會話中會一直使用這個值,如果想要恢復使用表的默認值,只需要將這個會話值設置爲null;set @sys.statement_truncate_len = null; • diagnostics.allow_i_s_tables : 默認爲OFF ,如果開啓表示允許diagnostics() 存儲過程執行掃描information_schema.tables 表,如果表很多,那麼可能會很耗性能, • diagnostics.include_raw : 默認爲OFF , 開啓將會從metrics 視圖輸出未加工處理的數據 。 • statement_performance_analyzer.limit : 視圖在沒有加limit限制時,返回的最大行數 • statement_performance_analyzer.view • statement_truncate_len : 通過format_statement()函數返回值的最大長度 這個表非默認選項還有一個@sys.debug參數 , 可以手動加入: INSERT INTO sys_config (variable, value) VALUES('debug', 'ON'); UPDATE sys_config SET value = 'OFF' WHERE variable = 'debug'; SET @sys.debug = NULL;
四.performance_schema庫表簡介
1 performance_schema是運行在較低級別的用於監控MySQL Server運行過程中的資源消耗、資源等待等情況的一個功能特性,也是一個存儲引擎。該特性具有以下特點。 2 3 提供了一種在數據庫運行時實時檢查Server內部執行情況的方法 4 可監控任何事情以及對應的時間消耗,利用這些信息來判斷Server中的相關資源消耗 5 只被記錄在本地Server的performance_schema中,其表中數據發生變化時不會被寫入binlog中,也不會通過複製機制被複制到其他Server中 6 對於這些表可使用SELECT語句查詢,也可以使用SQL語句更新performance_schema數據庫中的表記錄,但不建議更新,會影響後續的數據收集 7 表中數據不會持久化存儲在磁盤中,而是保存在內存中,一旦服務器重啓,這些數據就會丟失 8 不會導致server的行爲發生變化(查詢,優化等) 9 總體上開銷有限也不會影響性能 10 對某事件監測失敗,不影響server正常運行 11 當針對一個數據,同時被performance_schema收集和查詢,則收集優先與查詢 12 事件監測點可進行配置
- 查看是否當前數據庫是否支持
mysql> sho engines; ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'sho engines' at line 1 mysql> show engines; +--------------------+---------+----------------------------------------------------------------+--------------+------+------------+ | Engine | Support | Comment | Transactions | XA | Savepoints | +--------------------+---------+----------------------------------------------------------------+--------------+------+------------+ | FEDERATED | NO | Federated MySQL storage engine | NULL | NULL | NULL | | MEMORY | YES | Hash based, stored in memory, useful for temporary tables | NO | NO | NO | | InnoDB | DEFAULT | Supports transactions, row-level locking, and foreign keys | YES | YES | YES | | PERFORMANCE_SCHEMA | YES | Performance Schema | NO | NO | NO | | MyISAM | YES | MyISAM storage engine | NO | NO | NO | | MRG_MYISAM | YES | Collection of identical MyISAM tables | NO | NO | NO | | BLACKHOLE | YES | /dev/null storage engine (anything you write to it disappears) | NO | NO | NO | | CSV | YES | CSV storage engine | NO | NO | NO | | ARCHIVE | YES | Archive storage engine | NO | NO | NO | +--------------------+---------+----------------------------------------------------------------+--------------+------+------------+ 9 rows in set (0.00 sec)
Support 爲YES 表示支持 - 查看該特性是否使能
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1 mysql> show variables like 'performance_schema'; 2 +--------------------+-------+ 3 | Variable_name | Value | 4 +--------------------+-------+ 5 | performance_schema | ON | 6 +--------------------+-------+ 7 1 row in set (0.00 sec)
如果爲off則表示未使能。該參數爲只讀參數,則可在mysql.cnf中進行配置後重啓服務使用該引擎的這些表的分類
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1)語句事件記錄表 mysql> show tables like 'events_statement%'; +----------------------------------------------------+ | Tables_in_performance_schema (events_statement%) | +----------------------------------------------------+ | events_statements_current | //當前語句事件表 | events_statements_histogram_by_digest | //歷史語句事件表 | events_statements_histogram_global | | events_statements_history | | events_statements_history_long | //長語句歷史事件表 | events_statements_summary_by_account_by_event_name | //聚合後的摘要表 | events_statements_summary_by_digest | | events_statements_summary_by_host_by_event_name | | events_statements_summary_by_program | | events_statements_summary_by_thread_by_event_name | | events_statements_summary_by_user_by_event_name | | events_statements_summary_global_by_event_name | +----------------------------------------------------+ 12 rows in set (0.00 sec) 2)等待時間記錄表 mysql> show tables like 'events_wait%'; +-----------------------------------------------+ | Tables_in_performance_schema (events_wait%) | +-----------------------------------------------+ | events_waits_current | | events_waits_history | | events_waits_history_long | | events_waits_summary_by_account_by_event_name | | events_waits_summary_by_host_by_event_name | | events_waits_summary_by_instance | | events_waits_summary_by_thread_by_event_name | | events_waits_summary_by_user_by_event_name | | events_waits_summary_global_by_event_name | +-----------------------------------------------+ 9 rows in set (0.00 sec) 3)階段事件記錄表 mysql> show tables like 'events_stage%'; +------------------------------------------------+ | Tables_in_performance_schema (events_stage%) | +------------------------------------------------+ | events_stages_current | | events_stages_history | | events_stages_history_long | | events_stages_summary_by_account_by_event_name | | events_stages_summary_by_host_by_event_name | | events_stages_summary_by_thread_by_event_name | | events_stages_summary_by_user_by_event_name | | events_stages_summary_global_by_event_name | +------------------------------------------------+ 8 rows in set (0.00 sec) 4)事務事件記錄表 mysql> show tables like 'events_transaction%'; +------------------------------------------------------+ | Tables_in_performance_schema (events_transaction%) | +------------------------------------------------------+ | events_transactions_current | | events_transactions_history | | events_transactions_history_long | | events_transactions_summary_by_account_by_event_name | | events_transactions_summary_by_host_by_event_name | | events_transactions_summary_by_thread_by_event_name | | events_transactions_summary_by_user_by_event_name | | events_transactions_summary_global_by_event_name | +------------------------------------------------------+ 8 rows in set (0.00 sec) 5)監控文件系統層調用的表 mysql> show tables like '%file%'; +---------------------------------------+ | Tables_in_performance_schema (%file%) | +---------------------------------------+ | file_instances | | file_summary_by_event_name | | file_summary_by_instance | +---------------------------------------+ 3 rows in set (0.00 sec) 6)監視內存使用的表 mysql> show tables like '%memory%'; +-----------------------------------------+ | Tables_in_performance_schema (%memory%) | +-----------------------------------------+ | memory_summary_by_account_by_event_name | | memory_summary_by_host_by_event_name | | memory_summary_by_thread_by_event_name | | memory_summary_by_user_by_event_name | | memory_summary_global_by_event_name | +-----------------------------------------+ 5 rows in set (0.00 sec) 7)動態對performance_schema進行配置的配置表 mysql> show tables like '%setup%'; +----------------------------------------+ | Tables_in_performance_schema (%setup%) | +----------------------------------------+ | setup_actors | | setup_consumers | | setup_instruments | | setup_objects | | setup_threads | +----------------------------------------+ 5 rows in set (0.01 sec)
查詢性能表進行進行分析
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兩個基本概念 ● instruments:生產者,用於採集MySQL中各種操作產生的事件信息,對應配置表中的配置項,我們可以稱之爲事件採集配置項。以下提及的生產者均統稱爲instruments。 ● consumers:消費者,對應的消費者表用於存儲來自instruments採集的數據,對應配置表中的配置項,我們可以稱之爲消費存儲配置項。以下提及的消費者均統稱爲consumers。 1、哪類的SQL執行最多? mysql> SELECT DIGEST_TEXT,COUNT_STAR,FIRST_SEEN,LAST_SEEN FROM events_statements_summary_by_digest ORDER BY COUNT_STAR DESC -> ; +----------------------------------------------------------------------------------------------------------------------------------------+------------+----------------------------+----------------------------+ | DIGEST_TEXT | COUNT_STAR | FIRST_SEEN | LAST_SEEN | +----------------------------------------------------------------------------------------------------------------------------------------+------------+----------------------------+----------------------------+ | SHOW VARIABLES LIKE ? | 4 | 2022-01-04 18:14:24.153156 | 2022-01-04 21:25:12.396097 | | SELECT NAME , TYPE , `thread_id` , `processlist_id` FROM `performance_schema` . `threads` WHERE TYPE = ? | 3 | 2022-01-04 18:06:55.067124 | 2022-01-04 18:21:09.809550 | 2、哪類SQL的平均響應時間最多? mysql> SELECT DIGEST_TEXT,AVG_TIMER_WAIT FROM events_statements_summary_by_digest ORDER BY COUNT_STAR DESC ; +----------------------------------------------------------------------------------------------------------------------------------------+----------------+ | DIGEST_TEXT | AVG_TIMER_WAIT | +----------------------------------------------------------------------------------------------------------------------------------------+----------------+ | SHOW VARIABLES LIKE ? | 5867400000 | | SELECT NAME , TYPE , `thread_id` , `processlist_id` FROM `performance_schema` . `threads` WHERE TYPE = ? | 42246300000 | 3、哪類SQL排序記錄數最多? mysql> SELECT DIGEST_TEXT,SUM_SORT_ROWS FROM events_statements_summary_by_digest ORDER BY COUNT_STAR DESC; +----------------------------------------------------------------------------------------------------------------------------------------+---------------+ | DIGEST_TEXT | SUM_SORT_ROWS | +----------------------------------------------------------------------------------------------------------------------------------------+---------------+ | SHOW VARIABLES LIKE ? | 0 | 4、哪類SQL掃描記錄數最多? mysql> SELECT DIGEST_TEXT,SUM_ROWS_EXAMINED FROM events_statements_summary_by_digest ORDER BY COUNT_STAR DESC; +----------------------------------------------------------------------------------------------------------------------------------------+-------------------+ | DIGEST_TEXT | SUM_ROWS_EXAMINED | +----------------------------------------------------------------------------------------------------------------------------------------+-------------------+ | SHOW VARIABLES LIKE ? | 51 | 5、哪類SQL使用臨時表最多? mysql> SELECT DIGEST_TEXT,SUM_CREATED_TMP_TABLES,SUM_CREATED_TMP_DISK_TABLES FROM events_statements_summary_by_digest ORDER BY COUNT_STAR DESC; +----------------------------------------------------------------------------------------------------------------------------------------+------------------------+-----------------------------+ | DIGEST_TEXT | SUM_CREATED_TMP_TABLES | SUM_CREATED_TMP_DISK_TABLES | +----------------------------------------------------------------------------------------------------------------------------------------+------------------------+-----------------------------+ | SHOW VARIABLES LIKE ? | 4 | 0 | | SELECT NAME , TYPE , `thread_id` , `processlist_id` FROM `performance_schema` . `threads` WHERE TYPE = ? | 0 | 0 | 6、哪類SQL返回結果集最多? mysql> SELECT DIGEST_TEXT,SUM_ROWS_SENT FROM events_statements_summary_by_digest ORDER BY COUNT_STAR DESC; +-------------------------------------------------------------------------------------------------------------------------------------------------------+---------------+ | DIGEST_TEXT | SUM_ROWS_SENT | +-------------------------------------------------------------------------------------------------------------------------------------------------------+---------------+ | SHOW VARIABLES LIKE ? | 51 | | SELECT NAME , TYPE , `thread_id` , `processlist_id` FROM `performance_schema` . `threads` WHERE TYPE = ? | 38 | 7、哪個表物理IO最多? mysql> SELECT file_name,event_name,SUM_NUMBER_OF_BYTES_READ,SUM_NUMBER_OF_BYTES_WRITE FROM file_summary_by_instance ORDER BY SUM_NUMBER_OF_BYTES_READ + SUM_NUMBER_OF_BYTES_WRITE DESC; +------------------------------------------+---------------------------------------+--------------------------+---------------------------+ | file_name | event_name | SUM_NUMBER_OF_BYTES_READ | SUM_NUMBER_OF_BYTES_WRITE | +------------------------------------------+---------------------------------------+--------------------------+---------------------------+ | /var/lib/mysql/ibtmp1 | wait/io/file/innodb/innodb_data_file | 0 | 14729216 | | /var/lib/mysql/#ib_16384_1.dblwr | wait/io/file/innodb/innodb_dblwr_file | 8585216 | 0 | 8、哪個表邏輯IO最多? mysql> SELECT object_name,COUNT_READ,COUNT_WRITE,COUNT_FETCH,SUM_TIMER_WAIT FROM table_io_waits_summary_by_table ORDER BY sum_timer_wait DESC; +------------------------------------------------------+------------+-------------+-------------+----------------+ | object_name | COUNT_READ | COUNT_WRITE | COUNT_FETCH | SUM_TIMER_WAIT | +------------------------------------------------------+------------+-------------+-------------+----------------+ | books | 1 | 1 | 1 | 14683357736 | | dd_properties | 0 | 0 | 0 | 0 |
9、哪個索引訪問最多?mysql> SELECT OBJECT_NAME,INDEX_NAME,COUNT_FETCH,COUNT_INSERT,COUNT_UPDATE,COUNT_DELETE FROM table_io_waits_summary_by_index_usage ORDER BY SUM_TIMER_WAIT DESC;
+------------------------------------------------------+----------------------------------+-------------+--------------+--------------+--------------+
| OBJECT_NAME | INDEX_NAME | COUNT_FETCH | COUNT_INSERT | COUNT_UPDATE | COUNT_DELETE |
+------------------------------------------------------+----------------------------------+-------------+--------------+--------------+--------------+
| books | NULL | 1 | 1 | 0 | 0 |10、哪個索引從來沒有用過?
mysql> SELECT OBJECT_SCHEMA,OBJECT_NAME,INDEX_NAME FROM table_io_waits_summary_by_index_usage WHERE INDEX_NAME IS NOT NULL AND COUNT_STAR = 0 AND OBJECT_SCHEMA <> 'mysql' ORDER BY OBJECT_SCHEMA,OBJECT_NAME;
+--------------------+------------------------------------------------------+----------------------------------+
| OBJECT_SCHEMA | OBJECT_NAME | INDEX_NAME |
+--------------------+------------------------------------------------------+----------------------------------+
| cara_testing_db | books | PRIMARY |
| performance_schema | accounts | ACCOUNT |11、哪個等待事件消耗時間最多?
mysql> SELECT EVENT_NAME,COUNT_STAR,SUM_TIMER_WAIT,AVG_TIMER_WAIT FROM events_waits_summary_global_by_event_name WHERE event_name != 'idle' ORDER BY SUM_TIMER_WAIT DESC ;
+---------------------------------------------------------------------+------------+----------------+----------------+
| EVENT_NAME | COUNT_STAR | SUM_TIMER_WAIT | AVG_TIMER_WAIT |
+---------------------------------------------------------------------+------------+----------------+----------------+
| wait/io/file/innodb/innodb_data_file | 1103 | 686179063712 | 622102240 |
| wait/io/file/innodb/innodb_dblwr_file | 30 | 118918612832 | 3963953732 |
| wait/io/file/innodb/innodb_log_file | 109 | 66884431760 | 613618552 |12、剖析某條SQL的執行情況,包括statement信息,stege信息,wait信息
mysql> SELECT EVENT_ID,sql_text FROM events_statements_history WHERE sql_text LIKE '%count(*)%';
+----------+----------------------------+
| EVENT_ID | sql_text |
+----------+----------------------------+
| 155 | select count(*) from books |
+----------+----------------------------+
1 row in set (0.00 sec)13、查看每個階段的時間消耗
mysql> SELECT event_id,EVENT_NAME,SOURCE,TIMER_END - TIMER_START FROM events_stages_history_long WHERE NESTING_EVENT_ID = 1553
-> ;
Empty set (0.01 sec)14、查看每個階段的鎖等待情況
mysql> SELECT event_id,event_name,source,timer_wait,object_name,index_name,operation,nesting_event_id FROM events_waits_history_long;
Do everything well - 查看是否當前數據庫是否支持