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We want to migrate huge volume of data assume 20 million from Mongo DB to Firestore.
I know we can do this through programmatically but is there any tool out there?
I know we can do this through programmatically but is there any tool out there?
The answer is no! If you're looking for a magic button that can convert your MongoDB database to Cloud Firestore, you need to know that there isn't one! So unfortunately, you'll need to convert your database yourself, even if it holds 20 million records. The best way to achieve that, is to design your database schema according to Firestore requirements using collections and documents and copy all of your data in smaller chunks.
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I just ran a performance test (700 QPS read operation) on Firestore and it started to respond with timeouts after 5 or 6 minutes.
I thought Firestore scales automatically, but looks like there might be a limit for read operations...
Does anyone know if there is a read limit for Cloud Firestore?
In the Best Practices for Firestore in Datastore mode it states:
We recommend a maximum of 500 operations per second to a new Cloud Datastore kind, then increasing traffic by 50% every 5 minutes. In theory, you can grow to 740K operations per second after 90 minutes using this ramp up schedule. Be sure that writes are distributed relatively evenly throughout the key range. Our SREs call this the "500/50/5" rule.
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Can someone suggest some ways to implement a high-level design for 'broadcast peer-to-peer network'?
Sounds like you're simply describing the internet. No limit on nodes, nodes can join/leave anytime, redundant routing makes the network robust, load balancing can ensure you're not using some nodes too much.
Your last requirement... consistency... that really has nothing to do with the network. What you're looking for is an eventually consistent data store, and without knowing more about your specific requirements, it's not possible to give you much more of a specific answer. There are many tradeoffs you need to choose related to the data size, latency, atomicity, sharding, replication factor, etc.
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I have searched stackexchange but can't find a module that creates the relationship between city, state and country.
If this doesn't exist then could you point me to a scheme db to recreate this. I also didn't want to fill out the db with this region hierarchy but if it doesn't exist then I'll use the db scheme you can recommend.
Thank you,
V.
Not directly in meteor, but you can use https://atmospherejs.com/dburles/google-maps, to inject google maps api in meteor, and then you can use the geoCoder to get the text location from the latitude and longitude.
There isn't an existing package afaik but you can use (for example), the google maps geocoding api directly from Meteor.
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I want to make a Vocabulary Trainer and I was thinking about the best way to do it. First I searched some translation APIs to use, to avoid having to build my own dictionary, but I found that most of them are paid and some are free but have limitations.
So, I think the best way is to make my own dictionary, which also allow me to work offline, but I wonder if there is any free database of English-Spanish words to avoid starting from scratch.
Do you know any?
Thanks a lot!
You could try http://www.omegawiki.org/ as they claim this:
The aim of our project is to create a dictionary of all words of all languages, including lexical, terminological and ontological information. Our data is available in a relational database, as a result it is possible to use the data for many purposes.
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Is there an application that can easily backup your google analytics profile data to my desktop or would I have to make this service using the API?
I never heard of any software/scripts to do this, the thing is you wouldn't be able to import the data anyways. So an actual backup wouldn't do anything.
However you can per category use the export function(csv, tsv, tsv for excel and pdf) to start downloading files with your data.
Change the date range and hit export.. and you could a write a script to make it into one single file.
However automation for this I haven't seen before.
edit: Hmm I just see the topic date now... nevermind ;)