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REMOVE
The REMOVE
keyword can be used to remove documents from a collection.
Each REMOVE
operation is restricted to a single collection, and the
collection name must not be dynamic.
Only a single REMOVE
statement per collection is allowed per AQL query, and
it cannot be followed by read or write operations that access the same collection, by
traversal operations, or AQL functions that can read documents.
Syntax
The syntax for a remove operation is:
REMOVE keyExpression IN collection
It can optionally end with an OPTIONS { … }
clause.
collection
must contain the name of the collection to remove the documents
from. keyExpression
must be an expression that contains the document identification.
This can either be a string (which must then contain the
document key) or a
document, which must contain a _key
attribute.
The following queries are thus equivalent:
FOR u IN users
REMOVE { _key: u._key } IN users
FOR u IN users
REMOVE u._key IN users
FOR u IN users
REMOVE u IN users
A remove operation can remove arbitrary documents, and the documents
do not need to be identical to the ones produced by a preceding FOR
statement:
FOR i IN 1..1000
REMOVE { _key: CONCAT('test', i) } IN users
FOR u IN users
FILTER u.active == false
REMOVE { _key: u._key } IN backup
A single document can be removed as well, using a document key string or a
document with _key
attribute:
REMOVE 'john' IN users
LET doc = DOCUMENT('users/john')
REMOVE doc IN users
The restriction of a single remove operation per query and collection applies. The following query causes an access after data-modification error because of the third remove operation:
REMOVE 'john' IN users
REMOVE 'john' IN backups // OK, different collection
REMOVE 'mary' IN users // Error, users collection again
Query options
ignoreErrors
ignoreErrors
can be used to suppress query errors that may occur when trying to
remove non-existing documents. For example, the following query will fail if one
of the to-be-deleted documents does not exist:
FOR i IN 1..1000
REMOVE { _key: CONCAT('test', i) } IN users
By specifying the ignoreErrors
query option, these errors can be suppressed so
the query completes:
FOR i IN 1..1000
REMOVE { _key: CONCAT('test', i) } IN users OPTIONS { ignoreErrors: true }
waitForSync
To make sure data has been written to disk when a query returns, there is the waitForSync
query option:
FOR i IN 1..1000
REMOVE { _key: CONCAT('test', i) } IN users OPTIONS { waitForSync: true }
ignoreRevs
In order to not accidentally remove documents that have been updated since you last fetched
them, you can use the option ignoreRevs
to either let ArangoDB compare the _rev
values and
only succeed if they still match, or let ArangoDB ignore them (default):
FOR i IN 1..1000
REMOVE { _key: CONCAT('test', i), _rev: "1287623" } IN users OPTIONS { ignoreRevs: false }
exclusive
The RocksDB engine does not require collection-level locks. Different write operations on the same collection do not block each other, as long as there are no write-write conflicts on the same documents. From an application development perspective it can be desired to have exclusive write access on collections, to simplify the development. Note that writes do not block reads in RocksDB. Exclusive access can also speed up modification queries, because we avoid conflict checks.
Use the exclusive
option to achieve this effect on a per query basis:
FOR doc IN collection
REPLACE doc._key
WITH { replaced: true }
OPTIONS { exclusive: true }
Returning the removed documents
The removed documents can also be returned by the query. In this case, the
REMOVE
statement must be followed by a RETURN
statement (intermediate LET
statements are allowed, too).REMOVE
introduces the pseudo-value OLD
to
refer to the removed documents:
REMOVE keyExpression IN collection options RETURN OLD
Following is an example using a variable named removed
for capturing the removed
documents. For each removed document, the document key will be returned.
FOR u IN users
REMOVE u IN users
LET removed = OLD
RETURN removed._key
Transactionality
On a single server, the document removal is executed transactionally in an all-or-nothing fashion.
If the RocksDB engine is used and intermediate commits are enabled, a query may execute intermediate transaction commits in case the running transaction (AQL query) hits the specified size thresholds. In this case, the query’s operations carried out so far will be committed and not rolled back in case of a later abort/rollback. That behavior can be controlled by adjusting the intermediate commit settings for the RocksDB engine.
For sharded collections, the entire query and/or remove operation may not be transactional, especially if it involves different shards and/or DB-Servers.