/db/_all_docs¶GET /{db}/_all_docs¶Returns a JSON structure of all of the documents in a given database.
The information is returned as a JSON structure containing meta
information about the return structure, including a list of all documents
and basic contents, consisting the ID, revision and key. The key is the
from the document’s _id.
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Request:
GET /db/_all_docs HTTP/1.1
Accept: application/json
Host: localhost:5984
Response:
HTTP/1.1 200 OK
Cache-Control: must-revalidate
Content-Type: application/json
Date: Sat, 10 Aug 2013 16:22:56 GMT
ETag: "1W2DJUZFZSZD9K78UFA3GZWB4"
Server: CouchDB (Erlang/OTP)
Transfer-Encoding: chunked
{
"offset": 0,
"rows": [
{
"id": "16e458537602f5ef2a710089dffd9453",
"key": "16e458537602f5ef2a710089dffd9453",
"value": {
"rev": "1-967a00dff5e02add41819138abb3284d"
}
},
{
"id": "a4c51cdfa2069f3e905c431114001aff",
"key": "a4c51cdfa2069f3e905c431114001aff",
"value": {
"rev": "1-967a00dff5e02add41819138abb3284d"
}
},
{
"id": "a4c51cdfa2069f3e905c4311140034aa",
"key": "a4c51cdfa2069f3e905c4311140034aa",
"value": {
"rev": "5-6182c9c954200ab5e3c6bd5e76a1549f"
}
},
{
"id": "a4c51cdfa2069f3e905c431114003597",
"key": "a4c51cdfa2069f3e905c431114003597",
"value": {
"rev": "2-7051cbe5c8faecd085a3fa619e6e6337"
}
},
{
"id": "f4ca7773ddea715afebc4b4b15d4f0b3",
"key": "f4ca7773ddea715afebc4b4b15d4f0b3",
"value": {
"rev": "2-7051cbe5c8faecd085a3fa619e6e6337"
}
}
],
"total_rows": 5
}
POST /{db}/_all_docs¶The POST to _all_docs allows to specify multiple keys to be
selected from the database. This enables you to request multiple
documents in a single request, in place of multiple GET /{db}/{docid}
requests.
The request body should contain a list of the keys to be returned as an
array to a keys object. For example:
POST /db/_all_docs HTTP/1.1
Accept: application/json
Content-Length: 70
Content-Type: application/json
Host: localhost:5984
{
"keys" : [
"Zingylemontart",
"Yogurtraita"
]
}
The returned JSON is the all documents structure, but with only the selected keys in the output:
{
"total_rows" : 2666,
"rows" : [
{
"value" : {
"rev" : "1-a3544d296de19e6f5b932ea77d886942"
},
"id" : "Zingylemontart",
"key" : "Zingylemontart"
},
{
"value" : {
"rev" : "1-91635098bfe7d40197a1b98d7ee085fc"
},
"id" : "Yogurtraita",
"key" : "Yogurtraita"
}
],
"offset" : 0
}
/db/_bulk_docs¶POST /{db}/_bulk_docs¶The bulk document API allows you to create and update multiple documents at the same time within a single request. The basic operation is similar to creating or updating a single document, except that you batch the document structure and information.
When creating new documents the document ID (_id) is optional.
For updating existing documents, you must provide the document ID, revision
information (_rev), and new document values.
In case of batch deleting documents all fields as document ID, revision
information and deletion status (_deleted) are required.
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Request:
POST /db/_bulk_docs HTTP/1.1
Accept: application/json
Content-Length: 109
Content-Type:application/json
Host: localhost:5984
{
"docs": [
{
"_id": "FishStew"
},
{
"_id": "LambStew",
"_rev": "2-0786321986194c92dd3b57dfbfc741ce",
"_deleted": true
}
]
}
Response:
HTTP/1.1 201 Created
Cache-Control: must-revalidate
Content-Length: 144
Content-Type: application/json
Date: Mon, 12 Aug 2013 00:15:05 GMT
Server: CouchDB (Erlang/OTP)
[
{
"ok": true,
"id": "FishStew",
"rev":" 1-967a00dff5e02add41819138abb3284d"
},
{
"ok": true,
"id": "LambStew",
"rev": "3-f9c62b2169d0999103e9f41949090807"
}
]
Each time a document is stored or updated in CouchDB, the internal B-tree is updated. Bulk insertion provides efficiency gains in both storage space, and time, by consolidating many of the updates to intermediate B-tree nodes.
It is not intended as a way to perform ACID-like transactions in CouchDB,
the only transaction boundary within CouchDB is a single update to a single
database. The constraints are detailed in Bulk Documents Transaction Semantics.
To insert documents in bulk into a database you need to supply a JSON structure with the array of documents that you want to add to the database. You can either include a document ID, or allow the document ID to be automatically generated.
For example, the following update inserts three new documents, two with the supplied document IDs, and one which will have a document ID generated:
POST /source/_bulk_docs HTTP/1.1
Accept: application/json
Content-Length: 323
Content-Type: application/json
Host: localhost:5984
{
"docs": [
{
"_id": "FishStew",
"servings": 4,
"subtitle": "Delicious with freshly baked bread",
"title": "FishStew"
},
{
"_id": "LambStew",
"servings": 6,
"subtitle": "Serve with a whole meal scone topping",
"title": "LambStew"
},
{
"_id": "BeefStew",
"servings": 8,
"subtitle": "Hand-made dumplings make a great accompaniment",
"title": "BeefStew"
}
]
}
The return type from a bulk insertion will be 201 Created, with the content of the returned structure indicating specific success or otherwise messages on a per-document basis.
The return structure from the example above contains a list of the documents created, here with the combination and their revision IDs:
HTTP/1.1 201 Created
Cache-Control: must-revalidate
Content-Length: 215
Content-Type: application/json
Date: Sat, 26 Oct 2013 00:10:39 GMT
Server: CouchDB (Erlang OTP)
[
{
"id": "FishStew",
"ok": true,
"rev": "1-6a466d5dfda05e613ba97bd737829d67"
},
{
"id": "LambStew",
"ok": true,
"rev": "1-648f1b989d52b8e43f05aa877092cc7c"
},
{
"id": "BeefStew",
"ok": true,
"rev": "1-e4602845fc4c99674f50b1d5a804fdfa"
}
]
The content and structure of the returned JSON will depend on the transaction semantics being used for the bulk update; see Bulk Documents Transaction Semantics for more information. Conflicts and validation errors when updating documents in bulk must be handled separately; see Bulk Document Validation and Conflict Errors.
The bulk document update procedure is similar to the insertion procedure, except that you must specify the document ID and current revision for every document in the bulk update JSON string.
For example, you could send the following request:
POST /recipes/_bulk_docs HTTP/1.1
Accept: application/json
Content-Length: 464
Content-Type: application/json
Host: localhost:5984
{
"docs": [
{
"_id": "FishStew",
"_rev": "1-6a466d5dfda05e613ba97bd737829d67",
"servings": 4,
"subtitle": "Delicious with freshly baked bread",
"title": "FishStew"
},
{
"_id": "LambStew",
"_rev": "1-648f1b989d52b8e43f05aa877092cc7c",
"servings": 6,
"subtitle": "Serve with a whole meal scone topping",
"title": "LambStew"
},
{
"_id": "BeefStew",
"_rev": "1-e4602845fc4c99674f50b1d5a804fdfa",
"servings": 8,
"subtitle": "Hand-made dumplings make a great accompaniment",
"title": "BeefStew"
}
]
}
The return structure is the JSON of the updated documents, with the new revision and ID information:
HTTP/1.1 201 Created
Cache-Control: must-revalidate
Content-Length: 215
Content-Type: application/json
Date: Sat, 26 Oct 2013 00:10:39 GMT
Server: CouchDB (Erlang OTP)
[
{
"id": "FishStew",
"ok": true,
"rev": "2-2bff94179917f1dec7cd7f0209066fb8"
},
{
"id": "LambStew",
"ok": true,
"rev": "2-6a7aae7ac481aa98a2042718d09843c4"
},
{
"id": "BeefStew",
"ok": true,
"rev": "2-9801936a42f06a16f16c30027980d96f"
}
]
You can optionally delete documents during a bulk update by adding the
_deleted field with a value of true to each document ID/revision
combination within the submitted JSON structure.
The return type from a bulk insertion will be 201 Created, with the content of the returned structure indicating specific success or otherwise messages on a per-document basis.
The content and structure of the returned JSON will depend on the transaction semantics being used for the bulk update; see Bulk Documents Transaction Semantics for more information. Conflicts and validation errors when updating documents in bulk must be handled separately; see Bulk Document Validation and Conflict Errors.
CouchDB supports two different modes for updating (or inserting) documents using the bulk documentation system. Each mode affects both the state of the documents in the event of system failure, and the level of conflict checking performed on each document. The two modes are:
non-atomic
The default mode is non-atomic, that is, CouchDB will only guarantee that some of the documents will be saved when you send the request. The response will contain the list of documents successfully inserted or updated during the process. In the event of a crash, some of the documents may have been successfully saved, and some will have been lost.
In this mode, the response structure will indicate whether the
document was updated by supplying the new _rev parameter
indicating a new document revision was created. If the update failed,
then you will get an error of type conflict. For example:
[
{
"id" : "FishStew",
"error" : "conflict",
"reason" : "Document update conflict."
},
{
"id" : "LambStew",
"error" : "conflict",
"reason" : "Document update conflict."
},
{
"id" : "BeefStew",
"error" : "conflict",
"reason" : "Document update conflict."
}
]
In this case no new revision has been created and you will need to submit the document update, with the correct revision tag, to update the document.
all-or-nothing
In all-or-nothing mode, either all documents are written to the database, or no documents are written to the database, in the event of a system failure during commit.
In addition, the per-document conflict checking is not performed. Instead a new revision of the document is created, even if the new revision is in conflict with the current revision in the database. The returned structure contains the list of documents with new revisions:
HTTP/1.1 201 Created
Cache-Control: must-revalidate
Content-Length: 215
Content-Type: application/json
Date: Sat, 26 Oct 2013 00:13:33 GMT
Server: CouchDB (Erlang OTP)
[
{
"id": "FishStew",
"ok": true,
"rev": "1-6a466d5dfda05e613ba97bd737829d67"
},
{
"id": "LambStew",
"ok": true,
"rev": "1-648f1b989d52b8e43f05aa877092cc7c"
},
{
"id": "BeefStew",
"ok": true,
"rev": "1-e4602845fc4c99674f50b1d5a804fdfa"
}
]
When updating documents using this mode the revision of a document
included in views will be arbitrary. You can check the conflict
status for a document by using the conflicts=true query argument
when accessing the view. Conflicts should be handled individually to
ensure the consistency of your database.
To use this mode, you must include the all_or_nothing field (set
to true) within the main body of the JSON of the request.
The effects of different database operations on the different modes are summarized below:
Non-atomicInsertUpdateAll-or-nothingInsert / UpdateReplication of documents is independent of the type of insert or update. The documents and revisions created during a bulk insert or update are replicated in the same way as any other document. This can mean that if you make use of the all-or-nothing mode the exact list of documents, revisions (and their conflict state) may or may not be replicated to other databases correctly.
The JSON returned by the _bulk_docs operation consists of an array
of JSON structures, one for each document in the original submission.
The returned JSON structure should be examined to ensure that all of the
documents submitted in the original request were successfully added to
the database.
When a document (or document revision) is not correctly committed to the
database because of an error, you should check the error field to
determine error type and course of action. Errors will be one of the
following type:
conflict
The document as submitted is in conflict. If you used the default
bulk transaction mode then the new revision will not have been
created and you will need to re-submit the document to the database.
If you used all-or-nothing mode then you will need to manually
resolve the conflicted revisions of the document.
Conflict resolution of documents added using the bulk docs interface is identical to the resolution procedures used when resolving conflict errors during replication.
forbidden
Entries with this error type indicate that the validation routine applied to the document during submission has returned an error.
For example, if your validation routine includes the following:
throw({forbidden: 'invalid recipe ingredient'});
The error response returned will be:
HTTP/1.1 417 Expectation Failed
Cache-Control: must-revalidate
Content-Length: 120
Content-Type: application/json
Date: Sat, 26 Oct 2013 00:05:17 GMT
Server: CouchDB (Erlang OTP)
{
"error": "forbidden",
"id": "LambStew",
"reason": "invalid recipe ingredient",
"rev": "1-34c318924a8f327223eed702ddfdc66d"
}