Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3:ECDHE_RSA_AES_256_GCM_SHA384:256) (Exim 4.92) (envelope-from ) id 1jU7zG-00039B-Up for pgsql-admin@arkaria.postgresql.org; Thu, 30 Apr 2020 12:08:18 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.92) (envelope-from ) id 1jU7zF-0005JQ-Ak for pgsql-admin@arkaria.postgresql.org; Thu, 30 Apr 2020 12:08:17 +0000 Received: from makus.postgresql.org ([2001:4800:3e1:1::229]) by malur.postgresql.org with esmtps (TLS1.3:ECDHE_RSA_AES_256_GCM_SHA384:256) (Exim 4.92) (envelope-from ) id 1jU7zF-0005JJ-0t for pgsql-admin@lists.postgresql.org; Thu, 30 Apr 2020 12:08:17 +0000 Received: from mail-wm1-x344.google.com ([2a00:1450:4864:20::344]) by makus.postgresql.org with esmtps (TLS1.3:ECDHE_RSA_AES_128_GCM_SHA256:128) (Exim 4.92) (envelope-from ) id 1jU7zC-0004tz-1D for pgsql-admin@lists.postgresql.org; Thu, 30 Apr 2020 12:08:16 +0000 Received: by mail-wm1-x344.google.com with SMTP id x25so1573679wmc.0 for ; Thu, 30 Apr 2020 05:08:13 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=subject:to:references:from:message-id:date:user-agent:mime-version :in-reply-to:content-transfer-encoding:content-language; bh=18xLkxpO+buj1EJstGANjAJ36vqWWHC6CPGsHB3Bk1s=; b=dZEC01LqzEB+uTyNTIARErakqkIhqKWSKQ7oDf1zmdYVt2ckkTegIC5W59JW/yeBqS IWSP2fxWdD3IrHLuP6q+oAnFWpQO2I2IKqBacZK/nTRkW3pIsNQDhT8uq209OIqW56vv FdzZ/fvrbgmm55tJYhpSQttCxjCNyMsaPs//3Iml/Cyjm4JykyjFvbIP7RbLrSM3AayA UCoLk7MsRgr3xzxSJ3a/8L6TX+2y8JdoTaUMyKjB248gsdU4/iI1ztNNdGVr5z7HKQ5p 1l6vF7X16O08aDMO2F6vEukbXmKucrJ/psTcugQEQLwKrBqpjAwpww8PfyNdNarZRpls Sbaw== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:subject:to:references:from:message-id:date :user-agent:mime-version:in-reply-to:content-transfer-encoding :content-language; bh=18xLkxpO+buj1EJstGANjAJ36vqWWHC6CPGsHB3Bk1s=; b=ubg3g0F51VSLdeml/GfSRzPOAkPPjxll9RvJ8o2S357XJts4zlXFg7L2+Pl0Z81tgT j8IMaDFI+3fxWQw+b66FXN3IfLYHIj8RUbob0rDt7I3w+QVGosFAox5KvM0YpQ+hnenR n9FYagK+ofHK4E+s4Ow+FZV92Gclphli7oyt9SuplD0lrc6EbNDN4C/fSkSGxcbQom1W lmwNuhdAM03+8YMdzIjYyLRARi/43aBSaHUWtey4BfBkhn+fUwdK90Xl8fRGVQmT1G2A wZZ6ovP6cZFpzGAUuTcIjsNrYbWrMXwaUAgQNzGrU6nncl9ENlgzR/FALJXzEYHj/s4e O7dA== X-Gm-Message-State: AGi0Pub253n5ANQhOwg8IIi8UrcnEYf69BIEDMGWM5mplN8QVk4/0INm ySzHbTexBB9yerMP5jNEdwE2VZIylG4= X-Google-Smtp-Source: APiQypK1HedniBhN7wyBhfoL/gKTfv4NNqoouP1sfbKM3d/4ry3iTCFK/KzIZl3c0zSlDCij5xYojA== X-Received: by 2002:a1c:66d5:: with SMTP id a204mr2677232wmc.69.1588248491407; Thu, 30 Apr 2020 05:08:11 -0700 (PDT) Received: from [192.168.1.2] (net-93-144-87-143.cust.vodafonedsl.it. [93.144.87.143]) by smtp.gmail.com with ESMTPSA id x18sm11883309wmi.29.2020.04.30.05.08.10 for (version=TLS1_3 cipher=TLS_AES_128_GCM_SHA256 bits=128/128); Thu, 30 Apr 2020 05:08:10 -0700 (PDT) Subject: Re: Performance Reports To: pgsql-admin@lists.postgresql.org References: From: "Radoulov, Dimitre" Message-ID: <2350d881-ba45-da66-9d4d-b024ff066f2b@gmail.com> Date: Thu, 30 Apr 2020 14:08:28 +0200 User-Agent: Mozilla/5.0 (Windows NT 10.0; WOW64; rv:68.0) Gecko/20100101 Thunderbird/68.7.0 MIME-Version: 1.0 In-Reply-To: Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit Content-Language: en-US List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Precedence: bulk On 30/04/2020 11.14, Ankush Chawla wrote: > [...] > I am wondering if there is any thing such as AWR report which can give > a generic picture of events happening in the database causing > performance issues > or any kind of snapshots for particular time period > Statistics from table are generally a summarized detail since cluster > startup > Issue faced at particular time interval is not Not exactly what you're asking for, but you could check PMM (Percona Monitoring and Management): an open source monitoring tool that supports PostgreSQL. It's very easy to install, there's even an option to set it up as a docker image. You'll have historical charts for various OS and database metrics and with Query Analytics you could analyze your current and historical workload (you'll need to install and configure pg_stat_statements). There's an online demo at: https://pmmdemo.percona.com/graph/ For more info: https://www.percona.com/software/database-tools/percona-monitoring-and-management Regards Dimitre