Christian R created ATLAS-1875:
----------------------------------
Summary: Gremlin id is no longer returned for vertices in gremlin
query
Key: ATLAS-1875
URL: https://issues.apache.org/jira/browse/ATLAS-1875
Project: Atlas
Issue Type: Bug
Components: atlas-core
Affects Versions: 0.8-incubating, trunk
Reporter: Christian R
Hi,
while investigating a move from atlas 0.7 to 0.8 (HDP 2.5 to HDP2.6) our tests
fail on gremlin queries. It turns out that the returned entities in a gremlin
search in 0.8 does not include the 'id' attribute.
I've built commit a0bd93945cd45457bbf34a8cb819d4fa4ba72964 (0.8-rc1) on linux
using berkely and elasticearch to test with.
The query
:21000/api/atlas/discovery/search/gremlin?g.V.has('__type.name',
'Infrastructure').collect()
on our 0.7 cluster gives
{code:json}
{
__type.name: "Infrastructure",
__type.category: "CLASS",
__type: "typeSystem",
id: "16640"
}{code}
while the same query on my 0.8-rc1 installation gives
{code:javascript}
{
__type.name: "Infrastructure",
__version: "1",
__type.category: "CLASS",
__type.version: "1.0",
__modificationTimestamp: "1497448424134",
__type: "typeSystem",
__type.options: "null",
__type.description: "Infrastructure",
__guid: "77d07283-7622-4305-9c0c-09ac5aee86c8",
__timestamp: "1497448424134"
}
{code}
Certainly more information, but id is missing.
The very poor DSL performance (see ATLAS-1868) and a need for advanced queries
led us to base our queries on gremlin. This has worked very well so far. We
include both edges and nodes in the result set and use the inVertex, outVertex
and label info on the edges to rebuild our tree on the client side.
I also see that gremlin has disappeared from version two of the API. Since addE
and addV lets you insert into the graph I can see how exposing a full gremlin
endpoint might not be wanted.
As an example of the queries we run that I haven't been able to express in the
DSL is
{noformat}
query = g.V.has('__guid','xxxx').copySplit(
_().out('track'),
_().as('x')
.out('functions', 'component')
.loop('x'){true}{true}
.copySplit(
_(),
_().in('part_of'),
_().outE('functions',
'component'),
_().inE('part_of')
)
.exhaustMerge.dedup
)
.exhaustMerge
.collect()
{noformat}
this might not be a normal usecase.
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