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Key Points
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Key Points
- provides REST api to NoSQL documents
- supports basic aggregation
- has Fauxton admin browser for Web queries using NoSQL without coding
- does not support JDBC access from other tools directly for easy reporting
- see CAMEL for some data integration options with Java, XML
- CouchDB v4x will use FoundationDB key-value store as the storage engine
- Mango query in Fauxton client is similar to Mongo Query syntax
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https://www.geeksforgeeks.org/top-10-open-source-nosql-databases-in-2020/
Apache CouchDB is an open-source project and a single node database that allows you to easily store your data and access it when you need it. Couch DB can also scale up for more demanding projects into a cluster of nodes with multiple servers. It supports the HTTP protocol along with the JSON data format and also integrates with HTTP proxy servers. Apache CouchDB is designed for reliability with a crash-resistant structure that supports “Offline First” applications and a system that saves data redundantly so that it is never lost and available in a state of emergency.
CouchDb Setup
https://docs.couchdb.org/en/stable/install/index.html
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Fauxton setup
Go to couchdb.apache.org, and click download
Learn how to install and setup CouchDB from here, then go to http://127.0.0.1:5984/_utils
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Other useful links
Installation: https://github.com/MatteoGuadrini/PSCouchDB#installation-and-simple-usage
Full docsusage
Full docs: https://pscouchdb.readthedocs.io/en/latest/
PowershellGallery: https://www.powershellgallery.com/packages/PSCouchDB/2.5.0
Site: https://pscouchdbmatteoguadrini.readthedocsgithub.io/en/latest/
PowershellGallery: PSCouchDB
Thanks to everyone!
Matteo Guadrini
CouchDB JWT authentication and Identity Provider’s JWKS URLs ( beta feature )
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Thanks to everyone!
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Potential Value Opportunities
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Engineering CouchDB Networks
mesh-like architecture which uses CouchDB replication protocol to
distribute/aggregate data is perfectly viable. As well as other members of
the ML I also have several projects employing this approach. And like
others I also can not disclose any details, even qty of nodes involved; you
better be ready to see this attitude for any mesh-related project, because
they often involve processing sensitive personal, industry or
infrastructure data in vast amounts.
However, I have a lot of observations, main are:
- whenever possible use CouchDB, not Pouch, because failure rate of
Pouch instances on whatever platform is much higher overall
- CouchDB is able to run for years without getting down, Pouch is not so
sturdy, there exist a bunch of ways to knock down Pouch node with a single
request
- on mobile devices you better avoid constantly growing DBs, you may
loose data and DB integrity eventually
- a single doc rejected by Couch during upstream replication from Pouch
can block entire process of replication, you can easily get the situation
when sync just can’t restart – so carefully check what you store in Pouch,
especially attachments size
- get ready to spend a lot of time debugging Pouch—Couch routes having
enormous latencies (like sync through satellites or 14400 GPRS connections)
- mesh CouchDB networks tend to have very fast growing logs, reason is
the number of repeated connections from different peers, so take care of it
- do not distribute mesh topology across nodes using CouchDB
replication, this approach looks inviting but brings a lot of risks.
Best regards.
ermouth
Issue - Using a JDBC driver to connect ot CouchDB
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Couchbase open-source JDBC driver
https://github.com/couchbaselabs/couchbase-jdbc-driver
SQL Select ONLY - no CRUD
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This project contains the source code for the Couchbase JDBC Driver which supports the Analytics Service (not Query!). Its main purpose is to provide the low-level glue to facilitate integration with high level BI-Tools like Tableau.
Couchbase connection via Apache Drill
https://stackoverflow.com/questions/48826163/connecting-couchbase-with-apache-drill
Couchbase uses mem-cache to store key-value tables
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For your working set, most key-value requests are sub-millisecond.
Adding a Validator Function to a CouchDB view to validate documents
FoundationDB features ( CouchDB v4x )
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Programming language bindingsFoundationDB supports language bindings for Python, Go, Ruby, Node.js, Java, PHP, and C, all of which are made available with the product.[13]
Design limitations[edit]
The design of FoundationDB results in several limitations:
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https://apple.github.io/foundationdb/performance.html
FoundationDB uses commodity hardware to provide high throughputs and low latencies to your application at a variety of scales
FoundationDB scales linearly with the number of cores in a cluster over a wide range of sizes.
Here, a cluster of commodity hardware scales to 8.2 million operations/sec doing a 90% read and 10% write workload with 16 byte keys and values between 8 and 100 bytes.
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