Datalog query engine for PouchDB.
npm install pouch-datalogDatomic-like Datalog queries for PouchDB! (See Learn Datalog Today for some examples of how Datalog works.)
The query engine is a fork from Datascript.
Probably not. Give it a spin, make pull requests, and we'll see if we can't get ready! I expect I've added bugs galore to the basic query engine. Contributions gladly welcome.
``
var PouchDB = require('pouchdb');
PouchDB.plugin(require('pouch-datalog'));
db.dataquery('[:find ?id \
:in \
:where [?id "last_name" "Benson"]]')
.then(function (response) {
console.log( response ); // [['1']], i.e. the id of the document that matched
});
`
More examples will be forthcoming, but, for now, please see Learn Datalog Today, Datascript, and the Datomic documentation for examples that may or may not work with pouch-datalog.
Datomic and Datascript make use of the Datalog query engine against EAV and AVE indexes.[1] They are shorthand for entity-attribute-value and attribute-value-entity. (entity corresponds to id and attribute to key in more common Javascript parlance.) We can use Datalog against CouchDB if we also provide such indexes via views.
pouch-datalog expects two views: once called ave in a design document called ave, and another called eav in a design document called eav.
For instance, say that you've emulated triple store in PouchDB, and have documents that look like the following:
`
{
_id: ________,
id: 0,
key: "last_name",
value: "Benson"
}
Then, you'd want to have a map function in your ave view something like the following:
`
function( doc ) {
emit( [doc.key, doc.value, doc.id], [doc.id, doc.key, doc.value] ); // [2]
}
and the eav something like:
`
function( doc ) {
emit( [doc.id, doc.key, doc.value], [doc.id, doc.key, doc.value] ); // [2]
}
Voila! Datalog at your disposal.
No, you just need indexes in triples. For instance, if you have documents of the form:
`
{
_id: _________,
first_name: "Philip",
last_name: "King",
car: "fast"
}
You could create a ave view with something like the following:
`
function( doc ) {
for (var key in doc) {
if ( key !== "_id" ) {
emit( [doc._id, key, doc[ key ]], [doc._id, key, doc[ key ]] ); // [2]
}
}
}
The sky is the limit as to customizing the indexes. Don't include some documents or parameters, transform values before putting them in the index, whatever.
- Speed. At the very least, you will likely be making several HTTP requests per query. It is very possible there are some possible optimizations here. Additionally, I've read that views are not necessarily as fast as you wish they would be.
- Indexes. The indexes will dramatically inflate the amount of storage space your database requires. The trade-off may or may not be worth it, depending on your application.
I don't have any experience with Cloudant query, but I'm guessing that it would have smaller indexes (since they aren't indexing everything, and wouldn't have some of the cool logic programming bits that Datalog does. Cloudant Query is probably far more production-ready, though not generally available just yet. Cloudant query will, of course, eventually be the standard for CouchDB.
[1] They may actually use 3 or 4 indexes, all of which typically have a fourth term 'T' in them, but we can ignore that for now.
[2] Yes, I realize one shouldn't need to emit anything for the value` here. Coming soon…pull requests welcome.