Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1uEMMw-006vCD-MO for pgadmin-hackers@arkaria.postgresql.org; Mon, 12 May 2025 06:10:31 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.94.2) (envelope-from ) id 1uEMMv-00DgZL-Mc for pgadmin-hackers@arkaria.postgresql.org; Mon, 12 May 2025 06:10:29 +0000 Received: from makus.postgresql.org ([2001:4800:3e1:1::229]) by malur.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1uEMMu-00DgZC-Ic for pgadmin-hackers@lists.postgresql.org; Mon, 12 May 2025 06:10:29 +0000 Received: from mail-io1-xd2c.google.com ([2607:f8b0:4864:20::d2c]) by makus.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 (Exim 4.96) (envelope-from ) id 1uEMMr-001NcR-1y for pgadmin-hackers@postgresql.org; Mon, 12 May 2025 06:10:27 +0000 Received: by mail-io1-xd2c.google.com with SMTP id ca18e2360f4ac-85dac9729c3so416240239f.2 for ; Sun, 11 May 2025 23:10:26 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=enterprisedb.com; s=google; t=1747030225; x=1747635025; darn=postgresql.org; h=cc:to:subject:message-id:date:from:in-reply-to:references :mime-version:from:to:cc:subject:date:message-id:reply-to; bh=S+7zmIQfDj4KjBfqhXvGV/nKlKvp/4853EfZrd5K5iY=; b=VYts5rwRCD4MEnZdaR21cm3zfmStvkcOP0JcRWk9JI7+tOmsc2OXAj3XWr4TxGAk9a U8tyGHdr1NU1QO+hIB16UPd2hcu1jcoJrVHO9gA2s0H6bPfHbELIpPnRdu2HmJ5lDDeP cY+8oRhNcOmaSXGdqnyIqaecNJwmI4RACuyh575spd/P66IBeAEZJNzJuvXsEoBIYrdL +ZJUwtf4HvamjR1AzN3UnJT6Z2XS8/Q5lMFHgyfOCjUDdQCiox2jwp5430lvmfsa6J1L 52wN4LImxg94KNFi92cMnd6Wv2HaKrkqHsEJHSQZ4rVT5FWOYJk8hI7SU9VQmyyeqcCN m9SQ== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20230601; t=1747030225; x=1747635025; h=cc:to:subject:message-id:date:from:in-reply-to:references :mime-version:x-gm-message-state:from:to:cc:subject:date:message-id :reply-to; bh=S+7zmIQfDj4KjBfqhXvGV/nKlKvp/4853EfZrd5K5iY=; b=WjZ5M69odycWEvJ6iSSnVsPmhuY2bsAVrukOYSzypkoxL+17GoajG56nYXxlvDTQJj wgoSQ1/6U0ZCCXYTwhhEUCasFKpZZTzqQ1kqlESZnNwAELdlii8oEs6kZtP3h8zx35pK sMvU63dDBnp/Pf0moOKtweIEtqJC0JYtQIoal4Gb3Viytf+gPTfSzaXR6ITrjR6l1NFS o0VIj8/h67ajdynwuCzVSfv9uAwqe0ndB+nT76WBNp+sPORnU61KxFKR9WZaLT+TbA/6 RM9/qb7uurbWV81uVRAWbfBtXRK5o23qqGOmYAnwswk6lsujuO2XqA4K0+6sZSGij7Lg QMxA== X-Forwarded-Encrypted: i=1; AJvYcCVs5aYiAdSux0u4TVQ6frACUbJ6UBMAgVhlY23fz5O2TzZWB+BIA9ObjpVfsgitycwkqxGXuwNC1uz4qpzODKE=@postgresql.org X-Gm-Message-State: AOJu0YwVZ73/k5VtteavDtuyWWkG5a8tVcrSCgLa1BPSsEthnmldcAbr JNjVM8q68cD+ZXz1q6iQyhLWU7RFNzmWS+ux7UYYJVF1Qr9ayIadKtoew21Qd3kGQB9Zj6M1HdC m55+c/emKDVx9WZY1vrjHZo96zZ2ncXQdO5yn X-Gm-Gg: ASbGncuzk7gRnmxOLlG4gC0hUt9rd3fw9lzZRnAw8VotQVJfh0dw9gyD1B+QMZF6FYA DE0xCMCTI9umKtqS/XYPO8oLbcOkpNUGN8+yPDyzE2H/BWe2dgWCuSNg1M9riBi0SIC24UziyPv jPeILJlp4EKRRi4I4xE0y8BidGPj844wn55Mppz72k7Up7BYy2baTdqUw4fqPgzQ== X-Google-Smtp-Source: AGHT+IFVUezaDN8ZcGz8PWqnJxb2/9x/haoj01bNzt3+gMgvu4trGPUNl15Z7GldW9r/0ynZXgurH0AKS3iKR9dkrJQ= X-Received: by 2002:a05:6e02:b2d:b0:3d9:6d52:5483 with SMTP id e9e14a558f8ab-3da7e1f1d42mr114981795ab.11.1747030225108; Sun, 11 May 2025 23:10:25 -0700 (PDT) MIME-Version: 1.0 References: In-Reply-To: From: Murtuza Zabuawala Date: Mon, 12 May 2025 11:40:13 +0530 X-Gm-Features: AX0GCFtwWgS2sKEgwaHgw0ACyxDHxBJ5sw25eVqviWlKivoJjNuE83dJSSbrb-0 Message-ID: Subject: Re: pgAdmin Async Server Cursor To: Khushboo Vashi Cc: Dave Page , pgadmin-hackers Content-Type: multipart/related; boundary="000000000000fb39740634ea2bdb" List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Archived-At: Precedence: bulk --000000000000fb39740634ea2bdb Content-Type: multipart/alternative; boundary="000000000000fb39720634ea2bda" --000000000000fb39720634ea2bda Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable On Mon, May 12, 2025 at 11:05=E2=80=AFAM Khushboo Vashi < khushboo.vashi@enterprisedb.com> wrote: > Hello Dave/hackers, > > I'd like to update you on this issue. As we discussed in this thread, I > have implemented the server cursor. The psycopg implementation is also > done; the only part left is how we are going to show it on the UI. > > I have identified 3 to 4 places where we need to make a UI decision. > > *Menu/Button options* > > *1. Query Tool* > There are two options for the query tool. > > 1. Show as a menu item along with the Execute buttons panel, as shown > below. > > > [image: Screenshot 2025-05-06 at 4.54.56=E2=80=AFPM.png] > > 2. Give a separate button in the Execute buttons panel, as shown below. > Note: I copied and pasted the same icon; we can change this icon once we > decide to go with this approach. > > [image: Screenshot 2025-05-06 at 4.54.06=E2=80=AFPM.png] > > > > > *2. View/Edit Data* > > > 1. Context menu > > [image: Screenshot 2025-05-06 at 4.58.28=E2=80=AFPM.png] > > > 2. On the left side panel, top menu bar. (We can change the icon later.) > > [image: Screenshot 2025-05-12 at 10.45.48=E2=80=AFAM.png] > > > > > > *3. Save the Result to the File* > We can choose a different button option or a dropdown menu item like the > above approaches. > > > *Other than Menu/button option* > Another option is to provide the* Preferences option* to use the server > cursor instead of the client cursor. > The drawback of this approach is that the user needs to select/deselect > that option from the Preferences. > And it would be inconvenient if those settings need to be changed > frequently. > I would suggest providing a toggle button (may be on top right corner) of each component. > > > > Thanks, > Khushboo > > > > > > > > > > > > > > > > On Fri, Jan 17, 2025 at 6:01=E2=80=AFPM Dave Page wro= te: > >> Hi >> >> On Mon, 13 Jan 2025 at 09:25, Khushboo Vashi < >> khushboo.vashi@enterprisedb.com> wrote: >> >>> Hackers, >>> >>> Regarding #5797 : = Full >>> query result is being loaded into RAM despite ON_DEMAND_RECORD_COUNT=3D= 1000 >>> >>> pgAdmin uses the *Async cursor* to fetch the data in the query tool, >>> which basically fetches and stores the entire result on the client side= , in >>> our case, the pgAdmin server. >>> So, if the query result is very large, it uses more memory on the >>> pgAdmin server. We use the ON_DEMAND_RECORD_COUNT to fetch the partial >>> data from the cursor (which is already transferred to the pgAdmin serve= r) >>> and show it on the UI. >>> >>> To overcome this, we can use the* Async Server Cursor*, which transfers >>> data from the Postgres Server to the client (pgAdmin server) on demand. >>> This will reduce memory consumption and improve the performance. >>> >>> There are some downsides, too, >>> >>> 1. The *Server Cursor* does not return the Total number of rows. >>> - In this case, we will have a problem with pagination. We can either >>> just show the *next page* button in pagination and hide the Last page, >>> as we will not know the exact pages, so on clicking on the next button,= we >>> will show the result if it exists, OR we can use infinite scrolling for= the >>> Server Cursor. >>> >> >> Yes, that is a pretty big problem - not just for pagination, but for >> simply seeing how many rows your query returned - something I and I susp= ect >> many others do regularly. >> >> Another issue for some might be that it will change query timings such >> that they may no longer reflect what might happen in an application. Thi= s >> was a huge topic of debate when we discussed making this same change in >> pgAdmin III, probably 20 or more years ago! >> >> >>> >>> 2. The *Server Cursor* is less efficient for the small query results as >>> it takes more commands to receive the results. >>> - We can add one option in the query tool to run the query with either >>> the *Server or Client cursor*. >>> >> >> That might be our solution in general - have a per-query-tool-instance >> option to specify client or server cursor. If you choose server, you los= e >> the row count, but get the performance. If you choose client, you get th= e >> current behaviour. >> >> -- >> Dave Page >> pgAdmin: https://www.pgadmin.org >> PostgreSQL: https://www.postgresql.org >> pgEdge: https://www.pgedge.com >> >> --000000000000fb39720634ea2bda Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable

On Mon, May 12, 202= 5 at 11:05=E2=80=AFAM Khushboo Vashi <khushboo.vashi@enterprisedb.com> wrote:
Hello Dave= /hackers,

I'd like to update you on this issue. As we discussed = in this thread, I have implemented the server cursor. The psycopg implement= ation is also done; the only part left is how we are going to show it on th= e UI.

I have identified 3 to 4 places where we need to make a UI dec= ision.

Menu/Button options<= /b>

1. Query Tool
There ar= e two options for the query tool.

1. Show as a menu= item along with the Execute buttons panel, as shown below.

=3D"Screenshot

2. Give a separate= button in the Execute buttons panel, as shown below.
= Note: I copied and pasted the same icon; we can change this icon once we de= cide to go with this approach.

3D"Screenshot


=
2. View/Edit Data

1. C= ontext menu=C2=A0

3D"Screenshot

<= /div>

2. On the left side panel, top me= nu bar. (We can change the icon later.)

3D"Screenshot




3. Save th= e Result to the File
We can choose a different button option or a dr= opdown menu item like the above approaches.


Other than Men= u/button option
Another option is to provide the Preferences = option to use the server cursor instead of the client cursor.=C2=A0
The drawback of this approach is that the user needs to select/desel= ect that option from the Preferences.
And it would be inconvenien= t if those settings need to be changed frequently.

I would suggest providing a toggle button (may be on top right corner) of = each component.
=C2=A0



Thanks= ,
Khushboo





=









On Fri, Jan 17, 2025 at 6:0= 1=E2=80=AFPM Dave Page <dpage@pgadmin.org> wrote:
Hi

On Mon, 13 Jan = 2025 at 09:25, Khushboo Vashi <khushboo.vashi@enterprisedb.com> wrote:<= br>
Hackers,

Re= garding #5797:=C2=A0Full query result is being loaded into RAM desp= ite ON_DEMAND_RECORD_COUNT=3D1000

pgAdmin uses the Async cursor to= fetch the data in the query tool, which basically fetches and stores the e= ntire result on the client side, in our case, the pgAdmin server.
So, if the query= result is very large, it uses more memory on the pgAdmin server. We use th= e=C2=A0ON_DEMAND_RECORD_COUNT to fetch the partial data from the cursor (which= is already transferred to the pgAdmin server) and show it on the UI.

<= /div>
To overcome th= is, we can use the Async Server Cursor, which transfers data from th= e Postgres Server to the client (pgAdmin server) on demand. This will reduc= e memory consumption and improve the performance.=C2=A0

There are some downsides, to= o,

=
1. The= Server Cursor does not return the Total number of rows.
- In this case, we= will have a problem with pagination. We can either just show the next p= age button in pagination and hide the Last page, as we will not know th= e exact pages, so on clicking on the next button, we will show the result i= f it exists, OR we can use infinite scrolling for the Server Cursor.=

Yes, that is a pretty big prob= lem - not just for pagination, but for simply seeing how many rows your que= ry returned - something I and I suspect many others do regularly.

Another issue for some might be that it will change query t= imings such that they may no longer reflect what might happen in an applica= tion. This was a huge topic of debate when we discussed making this same ch= ange in pgAdmin III, probably 20 or more years ago!
=C2=A0
<= blockquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-l= eft:1px solid rgb(204,204,204);padding-left:1ex">

2. The Server Cursor is= less efficient for the small query results as it takes more commands to re= ceive the results.
- We can add one option in the query tool to run the query with= either the Server or Client cursor.
=

That might be our solution in general - have a per-quer= y-tool-instance option to specify client or server cursor. If you choose se= rver, you lose the row count, but get the performance. If you choose client= , you get the current behaviour.

--
Dave Page
PostgreSQL: <= a href=3D"https://www.postgresql.org" target=3D"_blank">https://www.postgre= sql.org
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