Thus in the quest I came across a brilliant tool named “MySQL Proxy”. This tool provides a very strong functionality for MySQL database, which includes multiple MySQL server load balancing, query injection, and much more. This tool provided a very robust solution for the request with the usage of Lua scripting. Rather me extending more benefits about the tool in the post, I provide all the references below for the readers to explore more benefits of the tool themselves and here I would like to present my solution to record user activity in MySQL using MySQL Proxy with the following Lua script.
Note: This script also provides a section where user can be prohibited to download more data than the specified limit.
-- measures bandwidth by user proxy.global.bandwidth = proxy.global.bandwidth or {} local session_user local sqlQuery local before_bytes_sent = 0 local after_bytes_sent = 0 local before_bytes_recevied = 0 local after_bytes_recevied = 0 function read_auth() session_user = proxy.connection.client.username proxy.global.bandwidth[session_user] = proxy.global.bandwidth[session_user] or 0 end function read_query (packet ) -- just to show how we can block a user query -- when the quota has been exceeded if proxy.global.bandwidth[session_user] > 10000 and session_user ~= 'root' then return error_result('you have exceeded your query quota') end sqlQuery = string.sub(packet, 2) proxy.global.bandwidth[session_user ] = proxy.global.bandwidth[session_user] + packet:len() proxy.queries:append(1, string.char(proxy.COM_QUERY) .. "SHOW SESSION STATUS LIKE '%Bytes%'", {resultset_is_needed = true} ) proxy.queries:append(2, packet,{resultset_is_needed = true}) proxy.queries:append(3, string.char(proxy.COM_QUERY) .. "SHOW SESSION STATUS LIKE '%Bytes%'", {resultset_is_needed = true} ) return proxy.PROXY_SEND_QUERY end function read_query_result(inj) if (inj.id == 4) then return proxy.PROXY_IGNORE_RESULT end if (inj.id == 1) or (inj.id == 3) then for row in inj.resultset.rows do if (row[1] == "Bytes_sent") and (inj.id == 1) then before_bytes_sent = row[2] end if (row[1] == "Bytes_sent") and (inj.id == 3) then after_bytes_sent = row[2] end if (row[1] == "Bytes_received") and (inj.id == 1) then before_bytes_recevied = row[2] end if (row[1] == "Bytes_received") and (inj.id == 3) then after_bytes_recevied = row[2] end end if (inj.id == 3) then print("Bytes sent before: " .. before_bytes_sent) print("Bytes sent after: " .. after_bytes_sent) print("Bytes received before: " .. before_bytes_recevied) print("Bytes received after: " .. after_bytes_recevied) print("Net Bytes sent: " .. (after_bytes_sent - before_bytes_sent)) print("Net Bytes received: " .. (after_bytes_recevied - before_bytes_recevied)) print("Username: " .. session_user) print("Query: " .. sqlQuery) print("DateTime: " .. os.date("%Y-%m-%d %H:%M:%S")) insert_log_query(session_user, os.date("%Y-%m-%d %H:%M:%S"), sqlQuery, (after_bytes_sent - before_bytes_sent), (after_bytes_recevied - before_bytes_recevied)) end return proxy.PROXY_IGNORE_RESULT end end function insert_log_query(username, date_time, query , net_bytes_sent, net_bytes_recived) print(username, date_time, query , net_bytes_sent, net_bytes_recived) proxy.queries:append(4, string.char(proxy.COM_QUERY) .. "INSERT INTO `employees`.`user_log` (`username`, `date_time`, `query`, `bytes_sent`, `bytes_recived`) VALUES ('" .. username .. "','" .. date_time .. "',\"" .. query .. "\"," .. net_bytes_sent .. "," .. net_bytes_recived .. ");", {resultset_is_needed = true}) return proxy.PROXY_SEND_QUERY endThis script uses the "SHOW SESSION STATUS" results for the recording of bytes sent and recevied. This also illustrates the power of MySQL Proxy which enables use to inject addtional queries to the database and process their results to our needs without any affects visible to the end user.
Download:
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References:
Link2: http://forge.mysql.com/wiki/MySQL_Proxy_Cookbook
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