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  • MySQL Binlog信息查看

    查看Binlog相关信息

    ##=====================================##
    ## 在MySQL内部查看binlog文件列表 ##
    SHOW BINARY LOGS;
    
    
    ##=====================================##
    ##查看某个binglog文件中特定pos的操作
    SHOW BINLOG EVENTS IN 'mysql-bin.000011' FROM 4742885 LIMIT 15;
    
    
    
    ##=====================================##
    ## 使用mysqlbinlog查看binlog ##
    ## 按时间过滤--start-datetime --stop-datetime,过滤时间格式为'2004-12-25 11:25:56'
    ## 按位置点过滤--start-position --stop-position,如果不能提供准确的pos值,则会报错
    ## 按照GTID过滤--include-gtids include-gtids
    /export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735
    
    /export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735 --start-datetime='2017-01-01 00:00:00' --stop-datetime='2017-01-02 00:00:00'
    
    /export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735 --start-position=194 --stop-position=201
    
    /export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735 --include-gtids="2aa60248-d8cf-11e8-a5c5-fa1622b12630:22652-22659"
    
    
    
    ##=====================================##
    ## 查看binlog 文件大小和最后修改时间 ##
    ll -h --time-style='+%Y-%m-%d %H:%M:%S' /export/data/mysql/data/mysql-bin*

    解析Binlog获取操作频率:

    /export/servers/mysql/bin/mysqlbinlog --no-defaults --base64-output=decode-rows -vvv mysql-bin.001282 \
    | awk '/###/ {if($0~/UPDATE|INSERT|DELETE/)count[$2" "$NF]++}END{for(i in count) print i,"\t",count[i]}' \
    | column -t | sort -k3nr

    对解析出的SQL文件进行解析,计算每张表操作次数和每秒操作次数:

    1、先使用mysqlbinlog解析文件:

    /export/servers/mysql/bin/mysqlbinlog --no-defaults --base64-output=decode-rows -vvv mysql-bin.001282 >/tmp/001282.sql

    2、修改下面python文件中main部分的sql文件地址,然后执行

    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    # =============================================================================
    #     FileName:
    #         Desc:
    #       Author:
    #        Email:
    #     HomePage:
    #      Version:
    #   LastChange:
    #      History:
    # =============================================================================
    import os
    
    
    def write_file(file_path, file_content):
        file_handler = open(file_path, "w")
        file_handler.write(file_content)
        file_handler.close()
    
    
    def get_table_summary(dump_sql_path):
        file_handler = open(dump_sql_path)
        table_dict = dict()
        for file_line in file_handler:
            if file_line.find("Table_map: ") > 0:
                start_index = file_line.index("Table_map:") + len("Table_map: ")
                end_index = file_line.index("mapped to", start_index)
                table_name = file_line[start_index:end_index].strip()
                if table_name in table_dict.keys():
                    table_dict[table_name] += 1
                else:
                    table_dict[table_name] = 1
    
        result_list = list()
        result_list.append("##=============按照表访问次数排序====================##")
        sorted_table_dict = sorted(table_dict.items(), key=lambda x: int(x[1]), reverse=True)
        for item in sorted_table_dict:
            result_list.append("{0}======================{1}".format(item[0], item[1]))
        result_list.append("##=============================================##")
        result_file = os.path.join(os.path.dirname(__file__), "binlog_table_summary.txt")
        write_file(result_file, "\n".join(result_list))
    
    
    def get_binlog_time_summary(dump_sql_path):
        file_handler = open(dump_sql_path)
        datetime_dict = dict()
        for file_line in file_handler:
            if file_line.find("Table_map: ") > 0:
                start_index = 1
                end_index = file_line.index("server id", start_index)
                current_time = file_line[start_index:end_index].strip()
                if current_time in datetime_dict.keys():
                    datetime_dict[current_time] += 1
                else:
                    datetime_dict[current_time] = 1
        result_list = list()
        result_list.append("##=============按照时间访问排序====================##")
        sorted_time_dict = sorted(datetime_dict.items(), key=lambda x: x[0], reverse=True)
        for item in sorted_time_dict:
            result_list.append("{0}======================{1}".format(item[0], item[1]))
        result_list.append("##=============================================##")
        result_file = os.path.join(os.path.dirname(__file__), "binlog_time_summary.txt")
        write_file(result_file, "\n".join(result_list))
    
    
    if __name__ == '__main__':
        sql_path = "/tmp/001282.sql"
        print("正在解析数据文件{0},获取每表访问次数".format(sql_path))
        get_table_summary(dump_sql_path=sql_path)
        print("正在解析数据文件{0},获取每秒访问次数".format(sql_path))
        get_binlog_time_summary(dump_sql_path=sql_path)
        print("解析完成")
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  • 原文地址:https://www.cnblogs.com/gaogao67/p/10383853.html
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