Author Archives: Brad Bebee

Blazegraph 1.5.1 Released!

Blazegraph 1.5.1 is released! This is a major release of Blazegraph™. The official release is made into the Sourceforge Git repository. Releases after 1.4.0 will no longer be made into SVN.

The full feature matrix is here.


You can download the WAR (standalone), JAR (executable), or HA artifacts from sourceforge.

You can checkout this release from:

git clone -b BLAZEGRAPH_RELEASE_1_5_1 --single-branch git:// BLAZEGRAPH_RELEASE_1_5_1

Feature summary:

– Highly Available Replication Clusters (HAJournalServer [10])
– Single machine data storage to ~50B triples/quads (RWStore);
– Clustered data storage is essentially unlimited (BigdataFederation);
– Simple embedded and/or webapp deployment (NanoSparqlServer);
– Triples, quads, or triples with provenance (RDR/SIDs);
– Fast RDFS+ inference and truth maintenance;
– Fast 100% native SPARQL 1.1 evaluation;
– Integrated “analytic” query package;
– %100 Java memory manager leverages the JVM native heap (no GC);
– RDF Graph Mining Service (GASService) [12].
– Reification Done Right (RDR) support [11].
– RDF/SPARQL workbench.
– Blueprints API.

Road map [3]:

– Column-wise indexing;
– Runtime Query Optimizer for quads;
– New scale-out platform based on MapGraph (100x => 10000x faster)

Change log:

Note: Versions with (*) MAY require data migration. For details, see [9].

New features:
– BigdataSailFactory moved to client package (
– This release includes significant performance gains for property paths.
– Both correctness and performance gains for complex join group and optional patterns.
– Support for concurrent writers and group commit. This is a beta feature in 1.5.1 and must be explicitly enabled for the database. Group commit for HA is also working in master, but was not ready for the 1.5.1 QA and hence is not in the 1.5.1 release branch.


– Concurrent unisolated operations against multiple KBs on the same Journal
– Adding Optional removes solutions
– Query solutions are duplicated and increase by adding graph patterns
– Property path operator should output solutions incrementally
– Using a bound variable to refer to a graph
– NPE if remote http server fails to provide a Content-Type header
– problems with UNIONs + complex OPTIONAL groups
– Executable Jar should bundle the BuildInfo class
– SPARQL UPDATE should have nice error messages when namespace does not support named graphs
– NSS startup error: java.lang.IllegalArgumentException: URI is not hierarchical
– Data race in
– GPLv2 license header update with new contact information
– Add hook to override the DefaultOptimizerList
– startHAServices no longer respects environment variables
– Build version in SF GIT master is wrong
– needs updating for Blazegraph transition
– Optimized variable projection into subqueries/subgroups
– OSX vm_stat output has changed
– Concurrent modification problem with group commit
– ClocksNotSynchronizedException (HA, GROUP_COMMIT)
– GlobalRowStoreHelper can hold hard reference to GSR index (GROUP COMMIT)
– Code review on “instanceof Journal”
– BigdataSailFactory.connect()
– Isolation broken in NSS when groupCommit disabled
– GROUP_COMMIT environment variable
– SPARQL Federated Query uses too many HttpClient objects
– DELETE DATA must not allow blank nodes
– BigdataSailFactory? must be moved to the client package

Full release notes are here.



Blazegraph™ Selected by Wikimedia Foundation to Power the Wikidata Query Service

wikidata_logo_200pxBlazegraph™ has been selected by the Wikimedia Foundation to be the graph database platform for the Wikidata Query Service. Read the Wikidata announcement here.  Blazegraph™ was chosen over Titan, Neo4j, Graph-X, and others by Wikimedia in their evaluation.  There’s a spreadsheet link in the selection message, which has quite an interesting comparison of graph database platforms.

Wikidata acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wikisource, and others.  The Wikidata Query Service is a new capability being developed to allow users to be able to query and curate the knowledge base contained in Wikidata.

We’re super-psyched to be working with Wikidata and think it will be a great thing for Wikidata and Blazegraph™.


Mapgraph™ GPU Acceleration for Blazegraph™: Launch Preview

We’re going to be formally launching our GPU-based graph analytics acceleration products, Mapgraph™ Accelerator and Mapgraph™ HPC, at the NVIDIA GTC conference in San Jose the week of 16 March.   We will also be competing as one of 12 finalists for NVIDIA’s early stage competition for a $100,000 prize.  If you’re in the area, come to GTC on Wednesday, March 18 and vote for us!

MapGraph Logo_200px

Mapgraph™ Accelerator (Beta) serves as a single-GPU graph accelerator for Blazegraph™.  We believe it will provide  the world’s first and best platform for building graph applications with GPU-acceleration.   It will bridge the gap between our Blazegraph™ database platform and the GPU acceleration for graph analytics. Users of the Blazegraph™ platform will be able to leverage GPU-accelerated graph analytics via a Java Native Interface (JNI) and via predicates in SPARQL query similarly to our current RDF GAS API, which provides Breadth-First Search (BFS), Single Source Shortest Path (SSSP), Connected Components (CC), and PageRank (PR) implementations.

Mapgraph™ HPC is a new and disruptive technology for organizations that need to process very large graphs in near-real time. It uses GPU clusters to deliver High Performance Computing (HPC) for your organization’s biggest and most time critical graph challenges.

  • Up to 10,000X Faster for graph analytics than Hadoop technologies
  • 10X Price-Performance advantage over supercomputer solutions
  • Familiar Vertex-Centric Graph Programming Model
  • Demonstrated performance of 32 Billion Traversed Edges Per Second (GTEPS) using 64 NVIDIA K40s on Scale-free Graphs

We are currently enrolling Beta customers for Mapgraph™ Accelerator and Mapgraph™ HPC. Chesapeake Technologies International has already accelerated a military planning application seeing computation times drop from minutes for a single-solution to seconds for the generation of multiple scenarios.  We’re doing a session on it at GTC. Contact us if you’re interested finding out more.

Mapgraph Beta Customer Request

* indicates required


Announcing Blazegraph Release 1.5.0

Starting with the 1.5.0 release, SYSTAP’s graph database platform will be called Blazegraph™.   It is built on the same platform and maintains 100% binary and API compatibility with Bigdata®.   SYSTAP will be fully integrating the Blazegraph™ brand over the course of 2015 and all of the existing wiki, blog, and other related pages will be updated.

This is a major release of Blazegraph™.  This is the initial release made into the Sourceforge Git repository.  Releases after 1.4.0 will no longer be made into SVN. [14].

Blazegraph™ is specifically designed to support big graphs offering both Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop, blueprints, vertex-centric) APIs.   It features robust, scalable, fault-tolerant, enterprise-class storage and query and high-availability with online backup, failover and self-healing.  It is in production use with enterprises such as Autodesk, EMC, Yahoo7!, and many others.   Blazegraph™ provides both embedded and standalone modes of operation.

Blazegraph™ is a horizontally-scaled, open-source architecture for indexed data with an emphasis on RDF capable of loading 1B triples in under one hour on a 15 node cluster.  It operates in both a single machine mode (Journal), highly available replication cluster mode (HAJournalServer), and a horizontally sharded cluster mode (Federation).  The Journal provides fast scalable ACID indexed storage for very large data sets, up to 50 billion triples / quads.  The HAJournalServer adds replication, online backup, horizontal scaling of query, and high availability.  The federation provides fast scalable shard-wise parallel indexed storage using dynamic sharding and shard-wise ACID updates and incremental cluster size growth.  Both platforms support fully concurrent readers with snapshot isolation.

Distributed processing offers greater throughput but does not reduce query or update latency.  Choose the Journal when the anticipated scale and throughput requirements permit.  Choose the HAJournalServer for high availability and linear scaling in query throughput.  Choose the BigdataFederation when the administrative and machine overhead associated with operating a cluster is an acceptable tradeoff to have essentially unlimited data scaling and throughput.

See [1,2,8] for instructions on installing bigdata(R), [4] for the javadoc, and [3,5,6] for news, questions, and the latest developments. For more information about SYSTAP, LLC and bigdata, see [7].

Starting with the 1.0.0 release, we offer a WAR artifact [8] for easy installation of the single machine RDF database.  For custom development and cluster installations we recommend checking out the code from SVN using the tag for this release. The code will build automatically under eclipse.  You can also build the code using the ant script.  The cluster installer requires the use of the ant script.

Starting with the 1.3.0 release, we offer a tarball artifact [10] for easy installation of the HA replication cluster.

Starting with the 1.5.0 release, we offer an executable jar file [13] for getting started quickly with minimal setup.

You can download the WAR (standalone), JAR (executable), or HA artifacts from:

You can checkout this release from:

git clone -b BIGDATA_RELEASE_1_5_0 –single-branch git:// BIGDATA_RELEASE_1_5_0

Feature summary:

– Highly Available Replication Clusters (HAJournalServer [10])

– Single machine data storage to ~50B triples/quads (RWStore);

– Clustered data storage is essentially unlimited (BigdataFederation);

– Simple embedded and/or webapp deployment (NanoSparqlServer);

– Triples, quads, or triples with provenance (RDR/SIDs);

– Fast RDFS+ inference and truth maintenance;

– Fast 100% native SPARQL 1.1 evaluation;

– Integrated “analytic” query package;

– %100 Java memory manager leverages the JVM native heap (no GC);

– RDF Graph Mining Service (GASService) [12].

– Reification Done Right (RDR) support [11].

– RDF/SPARQL workbench.

– Blueprints API.


Road map [3]:

– Column-wise indexing;

– Runtime Query Optimizer for quads;

– New scale-out platform based on MapGraph (100x => 10000x faster)


Change log:

Note: Versions with (*) MAY require data migration. For details, see [9].


New features:

  • Simplified deployer (Executable Jar)
  • Replaced apache client with jetty client (fixes http protocol layer errors in apache)
  • Arbitrary Length Path (ALP) Service (
  • Updated banner.
  • Updated logo.
  • new splash page.
  • Several bug fixes.
  • Several query optimizations.


Tickets for this release:

  • Slow query with BIND
  • GRAPH ?g { FILTER NOT EXISTS { ?s ?p ?o } } not respecting ?g
  • Graph filter works on different graph that selected one
  • COUNT(DISTINCT) returns no rows rather than ZERO.
  • Replace Apache Http Components with jetty http client
  • double filter error
  • (CONNEG using URL Query Parameter for json or xml results)
  • GROUP BY optimization using distinct-term-scan and fast-range-count
  • 1.4.0 pom references incorrect openrdf version
  • Add a streaming API for construct queries on BigdataGraph
  • Connection management with Blueprints
  • ALP Service (custom property paths)
  • SPARQL UPDATE QUADS DATA error with literals (SES-2063)
  • Eclipse project in git repository is broken
  • LaunderThrowable should not always throw an exception
  • JVMNamedSubqueryOp throws ExecutionException with OPTIONAL and FILTER query
  • Snapshot mechanism breaks with metabit demi-spaces
  • Problem with IPV4 support
  • Add ability to dump threads to status page
  • Loading quads data into a triple store should strip out the context
  • Named subquery results not referenced within query (bottom-up evaluation)
  • expose version information in workbench or endpoint
  • Set query timeout and response buffer length on jetty response listener
  • (Configuration option for jetty request buffer size)
  • (DELETE WITH ACCESS PATH fails if more than one named graph is specified)




–  (Migrate to openrdf 2.7)

–  (BackgroundTupleResult overrides final method close)

–  (explicit bindings get ignored in subselect (duplicate of #714))

–  (Documentation on BigData Reasoning)

–  (workbench does not display errors well)

– (DISTINCT PREDICATEs query is slow)

– (SELECT COUNT(…) (DISTINCT|REDUCED) {single-triple-pattern} is slow)

– (RDR RDF parsers are not always discovered)

– (ORDER_BY ordering not preserved by projection operator)

– (NQuadsParser hangs when loading latest dbpedia dump.)

– (ASTComplexOptionalOptimizer did not account for Values clauses)

– (BigdataGraphFactory create method cannot be invoked from the gremlin command line due to a Boolean vs boolean type mismatch.)

– (update RDR documentation on wiki)

– (Server does not generate RDR aware JSON for RDF/SPARQL RESULTS)




–  (Empty PROJECTION causes IllegalArgumentException)

– (Journal leaks storage with SPARQL UPDATE and REST API)

– (remote service queries should put parameters in the request body when using POST)




–  (Object position of query hint is not a Literal (partial resolution – see #1028 as well))

– (Add the ability to track and cancel all queries issued through a BigdataSailRemoteRepositoryConnection)

– (Add critical section protection to AbstractJournal.abort() and BigdataSailConnection.rollback())

– (GregorianCalendar? does weird things before 1582)

– (SPARQL UPDATE with runtime errors causes problems with lexicon indices)

– (very rare NotMaterializedException: XSDBoolean(true))

– (RWStore commit state not correctly rolled back if abort fails on empty journal)

– (RWStorage stats cleanup)




– (Jetty/LBS issues when deployed as WAR under tomcat)

– (Upgrade apache http components to 1.3.1 (security))

– (Invalidate BTree objects if error occurs during eviction)

– (Concurrent binding problem)

– (Concurrency issues in JVMHashJoinUtility caused by MAX_PARALLEL query hint override)

– (Add configuration option to turn off bottom-up evaluation)

–  (Extend BigdataSailFactory to take arbitrary properties)

–  (SPARQL Update through BigdataGraph)

–  (Add custom prefix support for query results)

–  (Allow general purpose SPARQL queries through BigdataGraph)

–  (Deadlock between AbstractRunningQuery.cancel(), QueryLog.log(), and ArbitraryLengthPathTask)

–  (Query hints not recognized in FILTERs)

–  (Stored query service)

–  (Bad performance for FILTER EXISTS)

–  (maven build is broken)

–  (Improve locality for small allocation slots)

–  (Deadlock in BigdataTriplePatternMaterializer)

–  (HA Health Status Page)

–  (Name2Addr.indexNameScan(prefix) uses scan + filter)

–  (RWStore.commit() should be more defensive)

–  (Clarify HTTP Status codes for CREATE NAMESPACE operation)

–  (no link to wiki from workbench)

–  (Failed to get namespace under concurrent update)

–  (Can not run LBS mode with HA1 setup)

–  (Clone/modify namespace to create a new one)

–  (Export namespace properties in XML/Java properties text format)

–  (HA Load Balancer)

–  (Support larger metabits allocations)

–  (Bigdata/Rexster integration)

–  (Formatted Layout for Status pages)

–  (REST API Query Cancellation)

–  (Panels do not appear on startup in Firefox)

–  (Executing a new query should clear the old query results from the console)

–  (Abbreviate URIs that can be namespaced with one of the defined common namespaces)

–  (Can’t explore an absolute URI with < >)

–  (Explore page looks weird when empty)

–  (Allow user to go use browser back & forward buttons to view explore history)

–  (OutOfMemoryError instead of Timeout for SPARQL Property Paths)

–  (Change explore URLs to include URI being clicked so user can see what they’ve clicked on before)

–  (AssertionError: Child does not have persistent identity)

–  (Search functionality in workbench)

–  (Query results panel should recognize well known namespaces for easier reading)

–  (Display the properties for a namespace)

–  (Create new tabs for status & performance counters, and add per namespace service/VoID description links)

–  (Configurator for new namespaces)

–  (Allow user to create namespace in the workbench)

–  (Output RDF data from queries in table format)

–  (Export query results)

–  (Save selected namespace in browser)

–  (Explore tab in workbench)

–  (Create shortcut to execute load/query)

–  (Disable textarea when a large file is selected)

–  (Allow non-file:// URLs to be loaded)

–  (Retrieve default namespace on page load)

–  (Query timeout only checked at operator start/stop)

–  (order by expr skips invalid expressions)

–  (JSP page to configure KBs)

–  (Stochastic assert in AbstractBTree#writeNodeOrLeaf() in CI)




–   (Deadlines do not play well with GROUP_BY, ORDER_BY, etc.)

–   (Amortize RTO cost)

–   (Support BOP fragments in the RTO.)

–   (Integrate RTO into SAIL)

–   (Dynamically increase RTO sampling limit.)

–   (Reification done right)

–   (Problem with the bigdata RDF/XML parser with sids)

–   (NSS using jetty+windows can lose connections (windows only; jdk 6/7 bug))

–   (HA Load Balancer)

–   (Graph processing API)

–   (Support HA1 configurations)

–   (Allow configuration of embedded NSS jetty server using jetty-web.xml)

–   (multiple filters interfere)

–   (Stochastic results with Analytic Query Mode)

–   (Converge on Java 7.)

–   (Resynchronization of socket level write replication protocol (HA))

–   (Incremental or asynchronous purge of HALog files)

–   (Wrong serialization version)

–   (Describe Limit/offset don’t work as expected)

–   (Update documentations and samples, they are OUTDATED)

–   (Name2Addr does not report all root causes if the commit fails.)

–   (ant task to build sesame fails, docs for setting up bigdata for sesame are ancient)

–   (should not be pruning any children)

–   (Clean up query hints)

–   (Explain reports incorrect value for opCount)

–   (Filter assigned to sub-query by query generator is dropped from evaluation)

–   (add sbt setup to getting started wiki)

–   (Solution order not always preserved)

–   (mis-optimation of quad pattern vs triple pattern)

–   (Optimize DatatypeFactory instantiation in DateTimeExtension)

–   (prefixMatch does not work in full text search)

–   (update bug deleting quads)

–   (Incorrect AST generated for OPTIONAL { SELECT })

–   (Wildcard search in bigdata for type suggessions)


–   (RDR query does too much work)

–   (Wildcard projection ignores variables inside a SERVICE call.)

–   (Unexplained increase in journal size)

–   (Reject large files, rather then storing them in a hidden variable)

–   (UNION with filter issue)

–   (Using “VALUES” in a query returns lexical error)

–   (Fix SPARQL Results JSON writer to write the RDR syntax)

–   (Create writers that support the RDR syntax)

–   (RDR GAS interface)

–   (RemoteRepository.cancel() does not consume the HTTP response entity.)

–   (Follower does not accept POST of idempotent operations (HA))

–   (Allow override of maximum length before converting an HTTP GET to an HTTP POST)

–   (AssertionError: Child does not have persistent identity)

–   (Create parser for JSON SPARQL Results)

–   (HA1 commit failure)

–   (Batch remove API for the SAIL)

–   (NSS concurrency problem with list namespaces and create namespace)

–   (HA5 test suite)

–   (Full text index range count optimization)

–   (FILTER not applied when there is UNION in the same join group)

–   (When I upload a file I want to see the filename.)

–   (RDF Format selector is invisible)

–   (CANCEL Query fails on non-default kb namespace on HA follower.)

–   (Provide workaround for bad reverse DNS setups.)

–   (BIND is leaving a variable unbound)

–   (HAJournalServer does not die if zookeeper is not running)

–   (large sparql insert optimization slow?)

–   (unnecessary synchronization)

–   (stack overflow in populateStatsMap)

–   (Update Basic Bigdata Chef Cookbook)

–   (AssertionError:  PropertyPathNode got to ASTJoinOrderByType.optimizeJoinGroup)

–   (unsound combo query optimization: union + filter)

–   (DC Prefix Button Appends “</li>”)

–   (Add a quick-start ant task for the BD Server “ant start”)

–   (Provide a configurable IAnalyzerFactory)

–   (Blueprints API Implementation)

–   (Settable timeout on SPARQL Query (REST API))

–   (DefaultAnalyzerFactory issues)

–   (Content negotiation orders accept header scores in reverse)

–   (NSS does not start from command line: bigdata-war/src not found.)

–   (ProxyServlet in web.xml breaks tomcat WAR (HA LBS)




– (Journal HA)

– (Coalesce write cache records and install reads in cache)

– (HA TXS)

– (Remove triple-buffering in RWStore)

– (HA backup)

– (River not compatible with newer 1.6.0 and 1.7.0 JVMs)

– (Add a custom function to use full text index for filtering.)

– (RWS test failure)

– (Compress write cache blocks for replication and in HALogs)

– (Latency on followers during commit on leader)

– (Issue with OPTIONAL blocks)

– (RWStore needs post-commit protocol)

– (HA3 LOAD non-responsive with node failure)

– (Occasional CI deadlock in HALogWriter testConcurrentRWWriterReader)

– (Accumulating HALog files cause latency for HA commit)

– (Query on follower fails during UPDATE on leader)

– (DGC in release time consensus protocol causes native thread leak in HAJournalServer at each commit)

– (WCS write cache compaction causes errors in RWS postHACommit())

– (Bad patterns for timeout computations)

– (HA deadlock under UPDATE + QUERY)

– (DGC Thread and Open File Leaks: sendHALogForWriteSet())

– (HAJournalServer can not restart due to logically empty log file)

– (HAJournalServer deadlock: pipelineRemove() and getLeaderId())

– (Optimization with skos altLabel)

– (Consensus protocol does not detect clock skew correctly)

– (HAJournalServer Cache not populated)

– (Missing URL encoding in RemoteRepositoryManager)

– (Error when using the alias “a” instead of rdf:type for a multipart insert)

– (Failed to re-interrupt thread in HAJournalServer)

– (Failed to re-interrupt thread)

– (OneOrMorePath SPARQL property path expression ignored)

– (Transparently cancel update/query in RemoteRepository)

– (HAJournalServer reports “follower” but is in SeekConsensus and is not participating in commits.)

– (Problems in BackgroundTupleResult)

– (InvocationTargetException on /namespace call)

– (ask does not return json)

– (Race between QueryEngine.putIfAbsent() and shutdownNow())

– (MultiSourceSequentialCloseableIterator.nextSource() can throw NPE)

– (BlockingBuffer.close() does not unblock threads)

– (BIND heisenbug – race condition on select query with BIND)

– (sparql protocol: mime type application/sparql-query)

– (SELECT ?x { OPTIONAL { ?x eg:doesNotExist eg:doesNotExist } } incorrect)

– (Interrupt of thread submitting a query for evaluation does not always terminate the AbstractRunningQuery)

– (Verify that IRunningQuery instances (and nested queries) are correctly cancelled when interrupted)

– (HAJournalServer needs to handle ZK client connection loss)

– (HA3 simultaneous service start failure)

– (HA asynchronous tasks must be canceled when invariants are changed)

– (FILTER EXISTS in subselect)

– (Logically empty HALog for committed transaction)

– (DELETE/INSERT fails with OPTIONAL non-matching WHERE)

– (Refactor to create HAClient)

– (ant bundleJar not working)

– (CBD and Update leads to 500 status code)

– (describe statement limit does not work)

– (Range optimizer not optimizing Slice service)

– (two property paths interfere)

– (MIN() malfunction)

– (class cast exception)

– (Inconsistent treatment of bind and optional property path)

– (ctc-striterators should build as independent top-level project (Apache2))

– (AbstractTripleStore.destroy() does not filter for correct prefix)

– (Assertion error)

– (BOUND bug)

– (incorrect join with subselect renaming vars)

– (Failure to setup SERVICE hook and changeLog for Unisolated and Read/Write connections)

– (Concurrent QuorumActors can interfere leading to failure to progress)

– (order by and group_concat)

– (Code review on 2-phase commit protocol)

– (RESYNC failure (HA))

– (alpp ordering)

– (Query timeout only checked at operator start/stop.)

– (Closed as duplicate of #490)

– (HA Leader fail results in transient problem with allocations on other services)

– (Operator Alerts (HA))




– (ConcurrentModificationException in ASTComplexOptionalOptimizer)




– (Maven Build)

– (Journal leaks memory).

– (Occasional deadlock in CI runs in

– (CI (mock) quorums deadlock)

– (Optimize hash join for subgroups with no incoming bound vars.)

– (StaticAnalysis#getDefinitelyBound() ignores exogenous variables.)

– (RDFS Plus Profile)

– (SPARQL 1.1 Property Paths)

– (Negative parser tests)


– (Optimize JOIN VARS for Sub-Selects)

– (Support PSOutputStream/InputStream at IRawStore)

– (Use RDFFormat.NQUADS as the format identifier for the NQuads parser)

– (MemoryManager Journal does not implement all methods).

– (NSS Admin API)

– (DESCRIBE with OFFSET/LIMIT needs to use sub-select)

– (Concise Bounded Description (CBD))

– (CONSTRUCT should use distinct SPO filter)

– (VoID in ServiceDescription)

– (RWStore immedateFree() not removing Checkpoint addresses from the historical index cache.)

– (nxparser fails with uppercase language tag)

– (Optimize RWStore allocator sizes)

– (Ugrade to Sesame 2.6.10)

– (WAR was deployed using TRIPLES rather than QUADS by default)

– (Change web.xml parameter names to be consistent with Jini/River)


– (B+Tree branching factor and HTree addressBits are confused in their NodeSerializer implementations)

– (BlobIV for blank node : NotMaterializedException)

– (BlobIV collision counter hits false limit.)

– (Log uncaught exceptions)

– (RWStore does not discard logged deletes on reset())

– (History service / index)

– (LOG BlockingBuffer not progressing at INFO or lower level)

– (bigdata-ganglia is required dependency for Journal)

– (The code that processes SPARQL Update has a typo)

– (Bigdata scale-up depends on zookeper)

– (SPARQL UPDATE response inlines large DELETE or INSERT triple graphs)

– (static join optimizer does not get ordering right when multiple tails share vars with ancestry)

– (AST2BOpUtility wraps UNION with an unnecessary hash join)

– (Row store read/update not isolated on Journal)

– (Concurrent KB create fails with “No axioms defined?”)

– (DirectBufferPool.poolCapacity maximum of 2GB)

– (RemoteRepository class should use application/x-www-form-urlencoded for large POST requests)

– (UpdateServlet fails to parse MIMEType when doing conneg.)

– (Expose performance counters for read-only indices)

– (Environment variable override for NSS properties file)

– (Create a bigdata-client jar for the NSS REST API)

– (ClassCastException in SIDs mode query)

– (NotMaterializedException when a SERVICE call needs variables that are provided as query input bindings)

– (ClassCastException when binding non-uri values to a variable that occurs in predicate position)


– (Conditionally rollback() BigdataSailConnection if dirty)

– (Property paths do not work inside of exists/not exists filters)

– (Add web.xml parameters to lock down public NSS end points)

– (Bigdata2Sesame2BindingSetIterator can fail to notice asynchronous close())

– (Can not POST RDF to a graph using REST API)

– (Rare AssertionError in WriteCache.clearAddrMap())

– (SPARQL REGEX operator does not perform case-folding correctly for Unicode data)

– (InFactory bug when IN args consist of a single literal)

– (SIDs mode creates unnecessary hash join for GRAPH group patterns)

– (Provide NanoSparqlServer initialization hook)

– (Doubly nested subqueries yield no results with LIMIT)

– (Flush indices in parallel during checkpoint to reduce IO latency)

– (AtomicRowFilter UnsupportedOperationException)




– (RWStore immedateFree() not removing Checkpoint addresses from the historical index cache.)

– (RWStore does not discard logged deletes on reset())

– (Prepare critical maintenance release as branch of 1.2.1)




– (Review materialization for inline IVs)

– (NotMaterializedException with REGEX and Vocab)

– (SPARQL UPDATE using NSS via index.html)

– (MemoryManaged backed Journal mode)

– (Index cache for Journal)

– (BTree can not be cast to Name2Addr (MemStore recycler))

– (NPE in Leaf.getKey() : root cause was user error)

– (SPARQL INSERT not working in same request after INSERT DATA)

– (Sub-select in INSERT cause NPE in UpdateExprBuilder)


– (Failure to set cached value on IV results in incorrect behavior for complex UPDATE operation)

– (DELETE WHERE fails with Java AssertionError)

– (LOAD-CREATE-LOAD using virgin journal fails with “Graph exists” exception)

– (DELETE/INSERT WHERE handling of blank nodes)

– (NullPointerException when attempting to INSERT DATA containing a blank node)


1.2.0: (*)


–  (Monitoring webapp)

– (Support evaluation of 3rd party operators)

– (Compact and efficient movement of binding sets between nodes.)

– (Cluster leaks threads under read-only index operations: DGC thread leak)

– (Thread-local cache combined with unbounded thread pools causes effective memory leak: termCache memory leak & thread-local buffers)

– (KeyBeforePartitionException on cluster)

– (Class loader problem)

– (Ganglia integration)

– (Logger for RWStore transaction service and recycler)

– (SPARQL query can fail to notice when IRunningQuery.isDone() on cluster)

– (RWStore does not track tx release correctly)

– (HTTP Repostory broken with bigdata 1.1.0)


– (SPARQL 1.1 Federation extension)

– (Serialization error in SIDs mode on cluster)

– (Global Row Store Read on Cluster uses Tx)

– (IExtension implementations do point lookups on lexicon)

– (“No such index” on cluster under concurrent query workload)

– (Java level deadlock in DS)

– (Uncaught interrupt resolving RDF terms)

– (KeyAfterPartitionException / KeyBeforePartitionException on cluster)

– (NoSuchVocabularyItem with LUBMVocabulary for DerivedNumericsExtension)

– (Query statistics do not update correctly on cluster)

– (Too many GRS reads on cluster)

– (Sail does not flush assertion buffers before query)

– (acceptTaskService pool size on cluster)

– (Optimize serialization for query messages on cluster)

– (Test suite for writeCheckpoint() and recycling for BTree/HTree)

– (Cluster does not map input solution(s) across shards)

– (Error releasing deferred frees using 1.0.6 against a 1.0.4 journal)

– (PhysicalAddressResolutionException against 1.0.6)

– (RWStore reset() should be thread-safe for concurrent readers)

– (Java API for NanoSparqlServer REST API)

– (AbstractTripleStore.destroy() does not clear the locator cache)

– (Empty chunk in ThickChunkMessage (cluster))

– (Virtual Graphs)

– (Sesame 2.6.3)


– (Bring bigdata RDF/XML parser up to openrdf 2.6.3.)

– (SPARQL 1.1 Service Description)

–        (Aggregation with an solution set as input should produce an empty solution as output)

–        (Incorrect error handling for SPARQL aggregation; fix in 2.6.1)

–        (Order the same Blank Nodes together in ORDER BY)

– (SPARQL 1.1 BINDINGS are ignored)

– (Bigdata2Sesame2BindingSetIterator throws QueryEvaluationException were it should throw NoSuchElementException)

– (UNION with Empty Group Pattern)

– (Exception when using SPARQL sort & statement identifiers)

– (Load, closure and query performance in 1.1.x versus 1.0.x)

– (LIMIT causes hash join utility to log errors)

– (Expose the LexiconConfiguration to Function BOPs)

– (Query with two “FILTER NOT EXISTS” expressions returns no results)

– (REGEXBOp should cache the Pattern when it is a constant)

– (Java 7 Compiler Compatibility)

– (Review function bop subclass hierarchy, optimize datatype bop, etc.)

– (CONSTRUCT WHERE shortcut)

– (Incremental materialization of Tuple and Graph query results)

– (Modify the IChangeLog interface to support multiple agents)

– (Expose timestamp of LexiconRelation to function bops)

– (ClassCastException during hash join (can not be cast to TermId))

– (Review materialization for inline IVs)

– (BSBM BI Q5 error using MERGE JOIN)


1.1.0 (*)


–  (Lexicon joins)

– (Store large literals as “blobs”)

– (Scale-out LUBM “how to” in wiki and build.xml are out of date.)

– (Implement an persistence capable hash table to support analytic query)

– (AccessPath should visit binding sets rather than elements for high level query.)

– (SliceOp appears to be necessary when operator plan should suffice without)

– (Bottom-up evaluation semantics).

– (Derived xsd numeric data types must be inlined as extension types.)

– (Revisit pruning of intermediate variable bindings during query execution)

– (Lift conditions out of subqueries.)

– (Native ORDER BY)

– (Inline predeclared URIs and namespaces in 2-3 bytes)

– (NanoSparqlServer does not locate “html” resources when run from jar)

– (Support inlining of unicode data in the statement indices.)

– (Scalable default graph evaluation)

– (Prune variable bindings during query evaluation)

– (Direct translation of openrdf AST to bigdata AST)

– (Fix StrBOp and other IValueExpressions)

– (Optimize OPTIONALs with multiple statement patterns.)

– (Native SPARQL evaluation on cluster)

– (Cluster does not compute closure)

– (HTree hash join performance)

– (inline xsd:unsigned datatypes)

– (xsd:string cast fails for non-numeric data)

– (New query hints model.)

– (Use of read-only tx per query defeats cache on cluster)




– (BTreeCounters does not track bytes released)

– (Refactor performance counters using accessor interface)

– (B+Tree should delete bloom filter when it is disabled.)

– (RWStore does not prune the CommitRecordIndex)

– (Persistent memory leaks (RWStore/DISK))

– (FastRDFValueCoder2: ArrayIndexOutOfBoundsException)

– (Release age advanced on WORM mode journal)

– (Add a DELETE by access path method to the NanoSparqlServer)

– (Add “context-uri” request parameter to specify the default context for INSERT in the REST API)

– (log4j configuration error message in WAR deployment)

– (Add a fast range count method to the REST API)

– (Support temp triple store wrapped by a BigdataSail)

– (NQuads support for NanoSparqlServer)

– (Bug fix to DEFAULT_RDF_FORMAT for bulk data loader in scale-out)

– (Support either lockfile (procmail) and dotlockfile (liblockfile1) in scale-out)

– (BigdataSail#getReadOnlyConnection() race condition with concurrent commit)

– (Address is 0L)

– (TestMROWTransactions failure in CI)



–  (Query time expansion of (foo rdf:type rdfs:Resource) drags in SPORelation for scale-out.)

– (Scale-out LUBM “how to” in wiki and build.xml are out of date.)

– (Query not terminated by error.)

– (NamedGraph pattern fails to bind graph variable if only one binding exists.)

– (IRunningQuery not closed promptly.)

– (DataLoader fails to load resources available from the classpath.)

– (Support for the streaming of bigdata IBindingSets into a sparql query.)

– (ClosedByInterruptException during heavy query mix.)

– (NotSerializableException for SPOAccessPath.)

– (Change dependencies to Apache River 2.2.0)


1.0.1 (*)


– (Unicode clean schema names in the sparse row store).

– (TermIdEncoder should use more bits for scale-out).

– (OSX requires specialized performance counter collection classes).

– (BigdataValueFactory.asValue() must return new instance when DummyIV is used).

– (TermIdEncoder limits Journal to 2B distinct RDF Values per triple/quad store instance).

– (SPO not Serializable exception in SIDS mode (scale-out)).

– (ClassCastException when querying with binding-values that are not known to the database).

– (UnsupportedOperatorException for some SPARQL queries).

– (Query failure when comparing with non materialized value).

– (RWStore reports “FixedAllocator returning null address, with freeBits”.)

– (NamedGraph pattern fails to bind graph variable if only one binding exists.)

– (log4j – slf4j bridge.)


For more information about bigdata(R), please see the following links:

















About Blazegraph™:


Blazegraph™ is a horizontally-scaled, general purpose storage and computing fabric for ordered data (B+Trees), designed to operate on either a single server or a cluster of commodity hardware. Blazegraph™ uses dynamically partitioned key-range shards in order to remove any realistic scaling limits – in principle, Blazegraph™ may be deployed on 10s, 100s, or even thousands of machines and new capacity may be added incrementally without requiring the full reload of all data. The Blazegraph™ RDF database supports RDFS and OWL Lite reasoning, high-level query (SPARQL), and datum level provenance.


MapGraph @ IEEE Bigdata 2014 — Seeking for Beta Customers for GPU Graph Analytics

SYSTAP Chief Scientist Bryan Thompson, Director of Mission Analytics, Brad Bebee, and Cuda Researcher Zhisong Fu will be presenting “Parallel Breadth First Search on GPU Clusters” in the distributed systems track of this year’s IEEE Bigdata conference.  This research, in conjunction with the University of Utah SCI institute, presents results for MapGraph(tm) running on NVIDIA’s Research Cluster with 64 K40 GPUs.  It achieves performance of 32,000,000,000 traversed edges per second of a graph with 4,300,000,000 directed edges (32 GTEPS)!

We are at a point with our MapGraph(tm) GPU technology where it has been demonstrated and validated for very high performance graph analytics.  We are entering phase in which we are actively seeking Beta customers; missions or customers that have a existing graph analytics that could be dramatically accelerated with our GPU Graph analytics software.  This could be for a single GPU if the graph size is in the 100s of millions of edges or for multi-GPUs for larger data sizes.

If you would like to become a Beta customer for MapGraph, we’d love to hear from you.   Please contact us at

“Parallel Breadth First Search on GPU Clusters”, Zhisong Fu, Harish Dasari, Martin Berzins, Brad Bebee, and Bryan Thompson

IEEE Bigdata Program (See L7)


SYSTAP To Present MapGraph GPU Graph Acceleration at ISWC 2014

Trentino, Italy:  19-23 October 2014

SYSTAP’s Chief Scientist and Co-Founder, Bryan Thompson, is presenting SYSTAP’s MapGraph technology during the industry track at the the 13th Annual International Semantic Web Conference (ISWC 2014).  SYSTAP is a Gold Sponsor for ISWC 2014, the premier international forum for the Semantic Web / Linked Data Community. Here, scientists, industry specialists, and practitioners meet to discuss the future of practical, scalable, user-friendly, and game changing solutions.

SYSTAP’s MapGraph is a new and disruptive technology for organizations that need to process large graphs in near-real time.  It cost effectively brings the capabilities of High Performance Computing (HPC) to your organization’s biggest and most time critical graph challenges.  MapGraph provides a familiar vertex-centric graph programming model, but its GPU acceleration is 100s of times faster than competing CPU-only technologies and up to 100,000 times faster than graph technologies based on key-value stores such as HBase, Titan, and Accumulo. MapGraph runs on one GPU or a cluster of GPUs.  With MapGraph on 64 NVIDIA K40 GPUs, you can traverse a scale-free graph of 4.3 billion directed edges in .13 seconds for a throughput of 32 Billion Traversed Edges Per Second (32 GTEPS).  Learn more at