Hi there,
this query
for doc in import
filter doc._type == 'Image'
return {path: doc._path, key: doc._key}
takes about 45 seconds on decent hardware with an import collection of
about 100.000 items with about 21.000 of _type = 'Image'.
There is an index of _type. Using PyArango as client...I really wander why
this query is running so slow?!
Running ArangoDB 3.4.3
Profile
Query String:
for doc in import
filter doc._type == 'Image'
return {path: doc._path, key: doc._key}
Execution plan:
Id NodeType Calls Items Runtime [s] Comment
1 SingletonNode 1 1 0.00000 * ROOT
7 IndexNode 21 20617 32.73956 - FOR doc IN
import /* hash index scan, projections: `_key`, `_path` */
5 CalculationNode 21 20617 0.04354 - LET #3 = {
"path" : doc.`_path`, "key" : doc.`_key` } /* simple expression */ /*
collections used: doc : import */
6 ReturnNode 21 20617 0.00016 - RETURN #3
Indexes used:
By Type Collection Unique Sparse Selectivity Fields
Ranges
7 hash import false false 0.05 % [ `_type` ]
(doc.`_type` == "Image")
Optimization rules applied:
Id RuleName
1 move-calculations-up
2 move-filters-up
3 move-calculations-up-2
4 move-filters-up-2
5 use-indexes
6 remove-filter-covered-by-index
7 remove-unnecessary-calculations-2
8 reduce-extraction-to-projection
Query Statistics:
Writes Exec Writes Ign Scan Full Scan Index Filtered Exec Time
[s]
0 0 0 20617 0
32.78928
Query Profile:
Query Stage Duration [s]
initializing 0.00001
parsing 0.00010
optimizing ast 0.00001
loading collections 0.00002
instantiating plan 0.00005
optimizing plan 0.00032
executing 32.78841
finalizing 0.00032
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