Prosys OPC UA SDK for Java 4.5.6 Released
We have released a new version of the Prosys OPC UA SDK for Java.
This release is a bug fix release that also contains performance and security fixes.
As a security fix, this release changes the defaults of Root/Objects/Server/ServerCapabilities/MaxXXXContinuationPoint from 0 (unlimited) to UnsignedShort.MAX_VALUE (65535). Using value of 0 could allow Clients to allocate infinite amount of continuation points resulting in a OutOfMemoryError. Earlier releases can mitigate this by changing the limit to a non-0 value (see release notes for how). Future SDK versions will investigate the option to use implementations that do not allocate any server-side memory.
In addition, the server side now handles Read service calls a lot faster under certain conditions. As long as no UaTypeIoListener(s) are attached to any TypeIoManagerListener(s) the UaNodes’ references are no longer checked for the HasTypeDefinition reference. This affects all UaNode-based NodeManagers.
The server side now handles IndexRanges for Read calls as specified in https://reference.opcfoundation.org/Core/docs/Part4/7.22/: “When reading a value and any of the lower bounds of the indexes is out of range the Server shall return a Bad_IndexRangeNoData. If any of the upper bounds of the indexes is out of range, the Server shall return partial results.”. Previously Bad_IndexRangeNoData was incorrectly returned if the end index was out of range.
Read more at the Release notes »
Please contact Prosys OPC Sales for more information.
About Prosys OPC Ltd
Prosys OPC is a leading provider of professional OPC software and services with over 20 years of experience in the field. OPC and OPC UA (Unified Architecture) are communications standards used especially by industrial and high-tech companies.
Newest blog posts
The blog post describes step-by-step TalentLMS sign-up and course payment process
Updates to the blog post on importing Information Models from NodeSet files
Master's thesis evaluation of OPC UA protocol and information modeling for use in heavily regulated manufacturing fields