Amazon Neptune Engine Version 1.0.4.2.R2 (2021-06-01)
As of 2021-06-01, engine version 1.0.4.2.R2 is being generally deployed. Please note that it takes several days for a new release to become available in every region.
Subsequent Patch Releases for This Release
Known issues in this engine release
Issue:
A SPARQL bug that fails to honor media type in an Accept
header if
there are spaces present.
For example, a query with -H "Accept: text/csv; q=1.0, */*; q=0.1"
returns JSON output rather than CSV output.
Workaround:
If you remove the spaces in the Accept
clause in the header, the engine
returns output in the correct requested format. In other words, instead of
-H "Accept: text/csv; q=1.0, */*; q=0.1"
, use:
-H "Accept: text/csv;q=1.0,*/*;q=0.1"
New Features in This Engine Release
Added the new R5d instance type, which includes a lookup cache for speeding up reads in use cases involving a high volume of property value or RDF literal lookups. See The Neptune lookup cache can accelerate read queries.
Added a new lab-mode parameter that lets the experimental DFE engine be invoked only on a per-query basis with the
useDFE
query hint.
Improvements in This Engine Release
Added support for TinkerPop 3.4.10.
Added support for using the
withStrategies( )
configuration step when sending Gremlin script requests. Specifically, theSubgraphStrategy
,PartitionStrategy
,ReadOnlyStrategy
,EdgeLabelVerificationStrategy
, andReservedKeysVerificationStrategy
are all supported.Added optimization for
V()
traversals in the middle of a query. Previously, such traversals were not optimized in Neptune.Added support for RFC 2141 URNs
to be used as the baseUri
andnamedGraphUri
parameters for a bulk load.
Defects Fixed in This Engine Release
Fixed a Gremlin bug in the parser where incorrect queries were treated as valid.
Fixed a Gremlin bug where unfolding an
aggregate()
side-effect withcap().unfold()
to avalueMap()
would raise an exception.Fixed a Gremlin bug where some
property()
steps after anaddV()
step fail with a "cannot cast to String" error.Fixed a Gremlin bug to prevent some conditional insert patterns from raising concurrent-modification exceptions.
Fixed a Gremlin bug so that the query request timeout now cannot exceed the session timeout.
Fixed a SPARQL bug where updates using LOAD or UNLOAD could fail with an HTTP code 500 instead of HTTP code 400 when the remote server is unavailable.
Fixed a bug where stream API calls were failing when
commitNum
oropNum
values larger than the 32-bit signed integer limit (2,147,483,647) were used.
Query-Language Versions Supported in This Release
Before upgrading a DB cluster to version 1.0.4.2.R2, make sure that your project is compatible with these query-language versions:
Gremlin version:
3.4.10
SPARQL version:
1.1
Upgrade Paths to Engine Release 1.0.4.2.R2
You can manually upgrade any previous Neptune engine release to this release.
You will not automatically upgrade to this release.
Upgrading to This Release
Amazon Neptune 1.0.4.2.R2 is now generally available.
If a DB cluster is running an engine version from which there is an upgrade path to this release, it is eligible to be upgraded now. You can upgrade any eligible cluster using the DB cluster operations on the console or by using the SDK. The following CLI command will upgrade an eligible cluster immediately:
For Linux, OS X, or Unix:
aws neptune modify-db-cluster \ --db-cluster-identifier
(your-neptune-cluster)
\ --engine-version 1.0.4.2 \ --apply-immediately
For Windows:
aws neptune modify-db-cluster ^ --db-cluster-identifier
(your-neptune-cluster)
^ --engine-version 1.0.4.2 ^ --apply-immediately
Updates are applied to all instances in a DB cluster simultaneously. An update requires a database restart on those instances, so you will experience downtime ranging from 20–30 seconds to several minutes, after which you can resume using the DB cluster.
For more information about upgrading your engine version, see Neptune engine updates. If you have any questions or concerns, the Amazon Support
team is available on the community forums and through Amazon Premium Support