Pouchdb query

GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. A very efficient and accurate full-text search engine built on top of PouchDB.

Analyzes text, indexes it, and provides a simple but powerful API for querying. Ideal for PhoneGap apps or any webapp that needs offline search support.

If you'd like to search against the server, use the CouchDB Lucene pluginCloudant's search indexesor something similar. If you need prefix search e. The allDocs and query APIs plus startkey should give you everything you need for prefix lookup. See the autosuggestions and prefix search section for details.

To optimize for other languages, check out lunr-languages and see the "other languages" section. In the simplest case, you call pouch. The results contain a list of matching document id s and score s, sorted from high to low. If any document is missing a field, then it's simply ignored. You can search one or more fields at a time.

Creating Chrome extensions using PouchDB

But if you like callbacks, you can also use that style:. Your document fields can be strings or arrays of strings. Use dots to separate deeply nested fields. Searching deeply inside arrays is supported. By default, the results only contain a list of document id s and score s.For beginners, we recommend promises, although you are free to use whatever format you prefer.

If you are unsure, check out our guide to asynchronous code. In supported browsers or Node. If you are using a transpiler like Babelyou can enable async functionswhich are an experimental API tentatively slated for release in ES7 ES How to configure Babel? To use async functions, you will need the syntax-async-functions pluginas well as the transform-regenerator plugin or Kneden which is experimental as of this writing.

For a full working example, see async-functions-with-regenerator. So for instance:. Any await not inside of an async function is a syntax error. This method creates a database or opens an existing one. Otherwise it will create a local database using whatever backend is present.

CouchDB Explained

Create a new document or update an existing document. The response contains the id of the document, the new revand an ok to reassure you that everything is okay. Put vs. For more info, read the PouchDB pro tips. Deletes the document. Sending the full document will work as well.

The Database that Syncs!

Create, update or delete multiple documents. The docs argument is an array of documents. If there are any errors, they will be provided individually like so:. Normally, only the replication algorithm needs to do this.

Deleted documents are only included if options. Notes: For pagination, options. You can do prefix search in allDocs — i. A list of changes made to documents in the database, in the order they were made. It is an event emitter and will emit a 'change' event on each document change, a 'complete' event when all the changes have been processed, and an 'error' event when an error occurs. Calling cancel will unsubscribe all event listeners automatically.

It is the primary key for the changes feed, and is also used as a checkpointer by the replication algorithm. When live is falsethe returned object is also an event emitter as well as a promise, and will fire the 'complete' event when the results are ready. If you are running changes on a remote CouchDB, then the first method will run client-side, whereas the last four will filter on the server side.

Therefore the last four should be preferred, especially if the database is large, because you want to send as few documents over the wire as possible. If you are running changes on a local PouchDB, then obviously all five methods will run client-side. There are also no performance benefits to using any of the five, so can also just filter yourself, in your own on 'change' handler. This is the most powerful way to filter, because it allows you to pass in arbitrary options to your filter function.

Since both the design document and the filter function have the same name, we can shorten the function name to 'myfilter'.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

I'm new to PouchDB and don't have any setup already built to test the performance in retrieving data using pouchDB's.

Has anyone tried the above methods? What's your experience with them? Which one was your favorite and why? Does anyone have performance tests on them? Which one is the fastest? Which one is easier to implement and maintain? Which problems usually arise from them?

According to the docsyou should prefer allDocs whenever possible:. Avoid the query API altogether if you can. You'd be amazed how much you can do with just allDocs. In fact, under the hood, the query API is simply implemented on top of allDocs! Learn more. Ask Question. Asked 3 years, 2 months ago. Active 3 years, 2 months ago. Viewed 1k times. I'm trying to choose the approach to take and don't know which one is the best!

Best regards, Bruno. Active Oldest Votes. According to the docsyou should prefer allDocs whenever possible: Avoid the query API altogether if you can. Doug Doug 8, 10 10 gold badges 45 45 silver badges 89 89 bronze badges. Sign up or log in Sign up using Google.

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Featured on Meta. Community and Moderator guidelines for escalating issues via new response….Find documents using a declarative JSON querying syntax. The limit and skip values are exactly as you would expect. While skip exists, it is not intended to be used for paging. The reason is that the bookmark feature is more efficient. Selectors are expressed as a JSON object describing documents of interest. Within this structure, you can apply conditional logic using specially named fields.

Whilst selectors have some similarities with MongoDB query documents, these arise from a similarity of purpose and do not necessarily extend to commonality of function or result. Elementary selector syntax requires you to specify one or more fields, and the corresponding values required for those fields.

You can create more complex selector expressions by combining operators. For more information about creating complex selector expressions, see creating selector expressions.

This selector matches any document with a name field containing "Paul"and that also has a location field with the value "Boston". A more complex selector enables you to specify the values for field of nested objects, or subfields. For example, you might use a standard JSON structure for specifying a field and subfield.

An abbreviated equivalent uses a dot notation to combine the field and subfield names into a single name. In general, combination operators are applied at the topmost level of selection. They are used to combine conditions, or to create combinations of conditions, into one selector. A selector without an explicit operator is considered to have an implicit operator. The exact implicit operator is determined by the structure of the selector expression. In a selector, any field containing a JSON value, but that has no operators in it, is considered to be an equality condition.

The implicit equality test applies also for fields and subfields. In the below example, we use an operator to match any document, where the "year" field has a value greater than :. In this next example, there must be a field "director" in a matching document, and the field must have a value exactly equal to "Lars von Trier".

In the next example using subfields, the required field "imdb" in a matching document must also have a subfield "rating" and the subfield must have a value equal to 8.

In this example, the field "director" must be present and contain the value "Lars von Trier" and the field "year" must exist and have the value Combination operators are used to combine selectors.

A combination operator takes a single argument. The argument is either another selector, or an array of selectors. Below is an example used with an index on the field "year" :.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I've been reading on how to query large collections. In my case I have over documents in the database. They can be filtered in the UI of course, but at start all are browse-able with pagination.

I can fetch all of them with allDocs without params, but once I start filtering I'll be querying.

Mango queries

But how should I go about it then? I know you can filter on keys, but I'll be filtering on fields in the docs. Can anyone give me a clear example if you can use alldocs with use of a filter not on the keys but on fields? In short, no. AllDocs is useful when you are selecting based on the document ID and using startkey and endkey options.

If you wish to select documents based on something other than the ID then allDocs is not going to work efficiently for you. There are some good examples and documentation on the PouchDb site.

pouchdb query

Mango queries are considered easier to work with but both approaches are perfectly valid. Learn more. PouchDb alldocs with a query Ask Question. Asked 1 year, 8 months ago. Active 1 year, 8 months ago.

Learn you pouchdb-find

Viewed 1k times. Active Oldest Votes. IanC IanC 7 7 silver badges 10 10 bronze badges. I'll use the Mango queries, it seems the most user friendly solution, I'll take the performance hit and try to find fixes where needed.

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Simply put, I have main. In main. Now the case is when I call the database from main. Got it fixed by moving database folder into build folder. I've forgotten that Rollup using build folder to locate resources. Learn more. Asked 4 days ago. Active 3 days ago.

pouchdb query

Viewed 17 times. Once data captured, setInterval based Async function, console. Why does Pouchdb behaves that way? Active Oldest Votes. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password.

pouchdb query

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Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I update template: person on cloud. And then I update it again. So 2 revisions have gone by without syncing to my device. I'm starting to believe this is a bug because if I destroy my database and do these steps again, I can reproduce this issue. There are several reports of that behavior:. I leave this answer because it might be helpful in other ways.

Try to console. Then you'd always get the correct view results. A word of caution: This is all untested and just from memory, so some brackets might be missing in the code, or some bugs might hide in there.

It's not a bug in PDB, it's about outdated unfortunately components in pouchdb-react-native. Confirmed way is to combine pouchdb-react-native yourself like this - then queries work as expected:. Learn more. Asked 1 year, 10 months ago. Active 1 year, 9 months ago.

Viewed times. These are the steps that I do: I sync both databases together. So now I have the most recent versions of this document on my device. I sync with my device. Now when I run the same query and I only get back the document I edited. Which is weird because I haven't touched any of the other documents. The same view returns the expected results on the cloud but not on the device.

Meaning the sync was successful and view is getting confused. Please add the code you have used for updating the documents? TarunLalwani there is no code. I update them straight from the Cloudant dashboard. It's the same way Fauxton works if you were to edit the document. The issue is not in how I am updating the document because the filter works on the dashboard.

Trying to understand: Your code would actually return a single object, not an array of objects. And the keys would be the IDs, not the names. Active Oldest Votes. Bernhard Gschwantner Bernhard Gschwantner 1, 10 10 silver badges 12 12 bronze badges.

Yup, one of them is actually my report. Seems like they just acknowledged it today.


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