FOR
operation in AQL
The versatile FOR
operation can iterate over a collection or View, the elements of an array, or traverse a graph
Syntax
The general syntax for iterating over collections and arrays is:
FOR variableName IN expression
There is also a special variant for graph traversals:
FOR vertexVariableName [, edgeVariableName [, pathVariableName ] ] IN traversalExpression
For Views, there is a special (optional) SEARCH
keyword:
FOR variableName IN viewName SEARCH searchExpression
Views cannot be used as edge collections in traversals:
FOR v IN 1..3 ANY startVertex viewName /* invalid! */
All variants can optionally end with an OPTIONS { … }
clause.
Usage
Each array element returned by expression is visited exactly once. It is required that expression returns an array in all cases. The empty array is allowed, too. The current array element is made available for further processing in the variable specified by variableName.
FOR u IN users
RETURN u
This iterates over all elements of the array referred to as users
. This array
consists of all documents stored in the collection named users
in this case.
The FOR
operation makes the current array element available in a variable u
,
which is not modified in this example but simply returned as a result using the
RETURN
operation.
SORT
operation.The variable introduced by FOR
is available until the scope the FOR
is
placed in is closed.
Another example that uses a statically declared array of values to iterate over:
FOR year IN [ 2011, 2012, 2013 ]
RETURN { "year" : year, "isLeapYear" : year % 4 == 0 && (year % 100 != 0 || year % 400 == 0) }
Nesting of multiple FOR
statements is allowed, too. When FOR
statements are
nested, a cross product of the array elements returned by the individual FOR
statements will be created.
FOR u IN users
FOR l IN locations
RETURN { "user" : u, "location" : l }
In this example, there are two array iterations: an outer iteration over the array
users
plus an inner iteration over the array locations
. The inner array is
traversed as many times as there are elements in the outer array. For each
iteration, the current values of users
and locations
are made available for
further processing in the variable u
and l
.
You can also use subqueries, for example, to iterate over a collection
independently and get the results back as an array, that you can then access in
an outer FOR
loop:
FOR u IN users
LET subquery = (FOR l IN locations RETURN l.location)
RETURN { "user": u, "locations": subquery }
Also see Combining queries with subqueries.
Options
For collections and Views, the FOR
construct supports an optional OPTIONS
clause to modify the behavior. The general syntax is as follows:
FOR variableName IN expression OPTIONS { option: value, ... }
indexHint
For collections, index hints can be given to the optimizer with the indexHint
option. The value can be a single index name or a list of index names in
order of preference:
FOR … IN … OPTIONS { indexHint: "byName" }
FOR … IN … OPTIONS { indexHint: ["byName", "byColor"] }
Whenever there is a chance to potentially use an index for this FOR
loop,
the optimizer will first check if the specified index can be used. In case of
an array of indexes, the optimizer will check the feasibility of each index in
the specified order. It will use the first suitable index, regardless of
whether it would normally use a different index.
If none of the specified indexes is suitable, then it falls back to its normal
logic to select another index or fails if forceIndexHint
is enabled.
forceIndexHint
Index hints are not enforced by default. If forceIndexHint
is set to true
,
then an error is generated if indexHint
does not contain a usable index,
instead of using a fallback index or not using an index at all.
FOR … IN … OPTIONS { indexHint: … , forceIndexHint: true }
disableIndex
Introduced in: v3.9.1
In some rare cases it can be beneficial to not do an index lookup or scan, but to do a full collection scan. An index lookup can be more expensive than a full collection scan if the index lookup produces many (or even all documents) and the query cannot be satisfied from the index data alone.
Consider the following query and an index on the value
attribute being
present:
FOR doc IN collection
FILTER doc.value <= 99
RETURN doc.other
In this case, the optimizer will likely pick the index on value
, because
it will cover the query’s FILTER
condition. To return the value for the
other
attribute, the query must additionally look up the documents for
each index value that passes the FILTER
condition. If the number of
index entries is large (close or equal to the number of documents in the
collection), then using an index can cause more work than just scanning
over all documents in the collection.
The optimizer will likely prefer index scans over full collection scans,
even if an index scan turns out to be slower in the end.
You can force the optimizer to not use an index for any given FOR
loop by using the disableIndex
hint and setting it to true
:
FOR doc IN collection OPTIONS { disableIndex: true }
FILTER doc.value <= 99
RETURN doc.other
Using disableIndex: false
has no effect on geo indexes or fulltext indexes.
Note that setting disableIndex: true
plus indexHint
is ambiguous. In
this case the optimizer will always prefer the disableIndex
hint.
maxProjections
Introduced in: v3.9.1
By default, the query optimizer will consider up to 5 document attributes
per FOR loop to be used as projections. If more than 5 attributes of a
collection are accessed in a FOR
loop, the optimizer will prefer to
extract the full document and not use projections.
The threshold value of 5 attributes is arbitrary and can be adjusted
by using the maxProjections
hint.
The default value for maxProjections
is 5
, which is compatible with the
previously hard-coded default value.
For example, using a maxProjections
hint of 7, the following query will
extract 7 attributes as projections from the original document:
FOR doc IN collection OPTIONS { maxProjections: 7 }
RETURN [ doc.val1, doc.val2, doc.val3, doc.val4, doc.val5, doc.val6, doc.val7 ]
Normally it is not necessary to adjust the value of maxProjections
, but
there are a few corner cases where it can make sense:
- It can be beneficial to increase
maxProjections
when extracting many small attributes from very large documents, and a full copy of the documents should be avoided. - It can be beneficial to decrease
maxProjections
to avoid using projections, if the cost of projections is higher than doing copies of the full documents. This can be the case for very small documents.
maxProjections
can be used in
Graph Traversals (Enterprise Edition only).useCache
Introduced in: v3.10.0
You can disable in-memory caches that you may have enabled for persistent indexes
on a case-by-case basis. This is useful for queries that access indexes with
enabled in-memory caches, but for which it is known that using the cache will
have a negative performance impact. In this case, you can set the useCache
hint to false
:
FOR doc IN collection OPTIONS { useCache: false }
FILTER doc.value == @value
...
You can set the hint individually per FOR
loop.
If you do not set the useCache
hint, it will implicitly default to true
.
The hint does not have any effect on FOR
loops that do not use indexes, or
on FOR
loops that access indexes that do not have in-memory caches enabled.
It also does not affect queries for which an existing in-memory
cache cannot be used (i.e. because the query’s filter condition does not contain
equality lookups for all index attributes). It cannot be used for FOR
operations that iterate over Views or perform graph traversals.
Also see Caching of index values.
lookahead
The multi-dimensional index type zkd
supports an optional index hint for
tweaking performance:
FOR … IN … OPTIONS { lookahead: 32 }