Local cache of Postgresql table/view












0















I'm developing a small NodeJS application, which uses data from a remote PostgreSQL database.
Everything works, but when scaling the lookup and round-trip time to/from the PostgreSQL are a hurdle.



I would like to implement a local cache of my table/view from PostgreSQL.



I've thought of using an In-Memory database like SQLite, and synchronize it on-the-go if something changes in PostgreSQL.



But... it seems a lot development and a bit cumbersome.



Are there more simple and straight-forward solutions?










share|improve this question

























  • What kind of "hurdle" are you talking about? A good database server can sustain many, many requests per second, especially if those are only read requests. How many requests are you expecting that you think Postgres won't be able to handle them?

    – a_horse_with_no_name
    Nov 15 '18 at 11:47











  • It's not only PostgreSQL handling the requests, but also the round-trip time. It's around 5-10,000 requests per second.

    – Alfred Balle
    Nov 15 '18 at 12:24











  • 10000 requests per second shouldn't be a problem on modern hardware - of course that depends on the nature of the requests. If those queries are aggregations that deal with hundreds of millions of rows then apparently not. But if those are "simple" lookups that can make use of indexes efficiently I wouldn't expect many problems. Get a server with a lot of CPUs, enough RAM and fast harddisks (preferrably SSDs) and you don't need the additional complexity of synchronizing an in-memory database

    – a_horse_with_no_name
    Nov 15 '18 at 12:32











  • Ok, that at least sounds good. But I'm still concerned about round-trip times. My Node.JS is running on Amazon server, and the PostgreSQL is via Compose (remotely).

    – Alfred Balle
    Nov 15 '18 at 12:43











  • I can get about 9000 (read/write) transactions/Second (using pgbench) on a 6 year old server in our local network running VMWare Postgres on it.

    – a_horse_with_no_name
    Nov 15 '18 at 13:00
















0















I'm developing a small NodeJS application, which uses data from a remote PostgreSQL database.
Everything works, but when scaling the lookup and round-trip time to/from the PostgreSQL are a hurdle.



I would like to implement a local cache of my table/view from PostgreSQL.



I've thought of using an In-Memory database like SQLite, and synchronize it on-the-go if something changes in PostgreSQL.



But... it seems a lot development and a bit cumbersome.



Are there more simple and straight-forward solutions?










share|improve this question

























  • What kind of "hurdle" are you talking about? A good database server can sustain many, many requests per second, especially if those are only read requests. How many requests are you expecting that you think Postgres won't be able to handle them?

    – a_horse_with_no_name
    Nov 15 '18 at 11:47











  • It's not only PostgreSQL handling the requests, but also the round-trip time. It's around 5-10,000 requests per second.

    – Alfred Balle
    Nov 15 '18 at 12:24











  • 10000 requests per second shouldn't be a problem on modern hardware - of course that depends on the nature of the requests. If those queries are aggregations that deal with hundreds of millions of rows then apparently not. But if those are "simple" lookups that can make use of indexes efficiently I wouldn't expect many problems. Get a server with a lot of CPUs, enough RAM and fast harddisks (preferrably SSDs) and you don't need the additional complexity of synchronizing an in-memory database

    – a_horse_with_no_name
    Nov 15 '18 at 12:32











  • Ok, that at least sounds good. But I'm still concerned about round-trip times. My Node.JS is running on Amazon server, and the PostgreSQL is via Compose (remotely).

    – Alfred Balle
    Nov 15 '18 at 12:43











  • I can get about 9000 (read/write) transactions/Second (using pgbench) on a 6 year old server in our local network running VMWare Postgres on it.

    – a_horse_with_no_name
    Nov 15 '18 at 13:00














0












0








0








I'm developing a small NodeJS application, which uses data from a remote PostgreSQL database.
Everything works, but when scaling the lookup and round-trip time to/from the PostgreSQL are a hurdle.



I would like to implement a local cache of my table/view from PostgreSQL.



I've thought of using an In-Memory database like SQLite, and synchronize it on-the-go if something changes in PostgreSQL.



But... it seems a lot development and a bit cumbersome.



Are there more simple and straight-forward solutions?










share|improve this question
















I'm developing a small NodeJS application, which uses data from a remote PostgreSQL database.
Everything works, but when scaling the lookup and round-trip time to/from the PostgreSQL are a hurdle.



I would like to implement a local cache of my table/view from PostgreSQL.



I've thought of using an In-Memory database like SQLite, and synchronize it on-the-go if something changes in PostgreSQL.



But... it seems a lot development and a bit cumbersome.



Are there more simple and straight-forward solutions?







postgresql sqlite caching memory






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 15 '18 at 11:46









a_horse_with_no_name

301k46459552




301k46459552










asked Nov 15 '18 at 9:01









Alfred BalleAlfred Balle

1458




1458













  • What kind of "hurdle" are you talking about? A good database server can sustain many, many requests per second, especially if those are only read requests. How many requests are you expecting that you think Postgres won't be able to handle them?

    – a_horse_with_no_name
    Nov 15 '18 at 11:47











  • It's not only PostgreSQL handling the requests, but also the round-trip time. It's around 5-10,000 requests per second.

    – Alfred Balle
    Nov 15 '18 at 12:24











  • 10000 requests per second shouldn't be a problem on modern hardware - of course that depends on the nature of the requests. If those queries are aggregations that deal with hundreds of millions of rows then apparently not. But if those are "simple" lookups that can make use of indexes efficiently I wouldn't expect many problems. Get a server with a lot of CPUs, enough RAM and fast harddisks (preferrably SSDs) and you don't need the additional complexity of synchronizing an in-memory database

    – a_horse_with_no_name
    Nov 15 '18 at 12:32











  • Ok, that at least sounds good. But I'm still concerned about round-trip times. My Node.JS is running on Amazon server, and the PostgreSQL is via Compose (remotely).

    – Alfred Balle
    Nov 15 '18 at 12:43











  • I can get about 9000 (read/write) transactions/Second (using pgbench) on a 6 year old server in our local network running VMWare Postgres on it.

    – a_horse_with_no_name
    Nov 15 '18 at 13:00



















  • What kind of "hurdle" are you talking about? A good database server can sustain many, many requests per second, especially if those are only read requests. How many requests are you expecting that you think Postgres won't be able to handle them?

    – a_horse_with_no_name
    Nov 15 '18 at 11:47











  • It's not only PostgreSQL handling the requests, but also the round-trip time. It's around 5-10,000 requests per second.

    – Alfred Balle
    Nov 15 '18 at 12:24











  • 10000 requests per second shouldn't be a problem on modern hardware - of course that depends on the nature of the requests. If those queries are aggregations that deal with hundreds of millions of rows then apparently not. But if those are "simple" lookups that can make use of indexes efficiently I wouldn't expect many problems. Get a server with a lot of CPUs, enough RAM and fast harddisks (preferrably SSDs) and you don't need the additional complexity of synchronizing an in-memory database

    – a_horse_with_no_name
    Nov 15 '18 at 12:32











  • Ok, that at least sounds good. But I'm still concerned about round-trip times. My Node.JS is running on Amazon server, and the PostgreSQL is via Compose (remotely).

    – Alfred Balle
    Nov 15 '18 at 12:43











  • I can get about 9000 (read/write) transactions/Second (using pgbench) on a 6 year old server in our local network running VMWare Postgres on it.

    – a_horse_with_no_name
    Nov 15 '18 at 13:00

















What kind of "hurdle" are you talking about? A good database server can sustain many, many requests per second, especially if those are only read requests. How many requests are you expecting that you think Postgres won't be able to handle them?

– a_horse_with_no_name
Nov 15 '18 at 11:47





What kind of "hurdle" are you talking about? A good database server can sustain many, many requests per second, especially if those are only read requests. How many requests are you expecting that you think Postgres won't be able to handle them?

– a_horse_with_no_name
Nov 15 '18 at 11:47













It's not only PostgreSQL handling the requests, but also the round-trip time. It's around 5-10,000 requests per second.

– Alfred Balle
Nov 15 '18 at 12:24





It's not only PostgreSQL handling the requests, but also the round-trip time. It's around 5-10,000 requests per second.

– Alfred Balle
Nov 15 '18 at 12:24













10000 requests per second shouldn't be a problem on modern hardware - of course that depends on the nature of the requests. If those queries are aggregations that deal with hundreds of millions of rows then apparently not. But if those are "simple" lookups that can make use of indexes efficiently I wouldn't expect many problems. Get a server with a lot of CPUs, enough RAM and fast harddisks (preferrably SSDs) and you don't need the additional complexity of synchronizing an in-memory database

– a_horse_with_no_name
Nov 15 '18 at 12:32





10000 requests per second shouldn't be a problem on modern hardware - of course that depends on the nature of the requests. If those queries are aggregations that deal with hundreds of millions of rows then apparently not. But if those are "simple" lookups that can make use of indexes efficiently I wouldn't expect many problems. Get a server with a lot of CPUs, enough RAM and fast harddisks (preferrably SSDs) and you don't need the additional complexity of synchronizing an in-memory database

– a_horse_with_no_name
Nov 15 '18 at 12:32













Ok, that at least sounds good. But I'm still concerned about round-trip times. My Node.JS is running on Amazon server, and the PostgreSQL is via Compose (remotely).

– Alfred Balle
Nov 15 '18 at 12:43





Ok, that at least sounds good. But I'm still concerned about round-trip times. My Node.JS is running on Amazon server, and the PostgreSQL is via Compose (remotely).

– Alfred Balle
Nov 15 '18 at 12:43













I can get about 9000 (read/write) transactions/Second (using pgbench) on a 6 year old server in our local network running VMWare Postgres on it.

– a_horse_with_no_name
Nov 15 '18 at 13:00





I can get about 9000 (read/write) transactions/Second (using pgbench) on a 6 year old server in our local network running VMWare Postgres on it.

– a_horse_with_no_name
Nov 15 '18 at 13:00












0






active

oldest

votes











Your Answer






StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");

StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53315715%2flocal-cache-of-postgresql-table-view%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown

























0






active

oldest

votes








0






active

oldest

votes









active

oldest

votes






active

oldest

votes
















draft saved

draft discarded




















































Thanks for contributing an answer to Stack Overflow!


  • Please be sure to answer the question. Provide details and share your research!

But avoid



  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.


To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53315715%2flocal-cache-of-postgresql-table-view%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

Xamarin.iOS Cant Deploy on Iphone

Glorious Revolution

Dulmage-Mendelsohn matrix decomposition in Python