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MarkLogic is the only Enterprise NoSQL Database. Overview; Software. MarkLogic Data Platform; MarkLogic Server; Solutions. Developer Community Downloads MarkLogic 11. Menu. DOWNLOADS. Server. MarkLogic 11; MarkLogic 10; MarkLogic 11. Matches for cat:other (document-filter) have been highlighted. MarkLogic is the only Enterprise NoSQL Database. Overview; Software. MarkLogic Data Platform; MarkLogic Server; Solutions. Use Cases. Developer Community Downloads MarkLogic 10. Menu. DOWNLOADS. Server. MarkLogic 11; MarkLogic 10; MarkLogic 10. Matches for document-filter have been highlighted.

GitHub - marklogic/marklogic-contentpump: MarkLogic

The Data Hub empowers architects and developers to leverage the power of the MarkLogic multi-model database to create data flows from a multitude of source systems, harmonize that data, and serve the data using open APIs faster than ever. Out-of-the-box we have enterprise-grade security, but some use cases require even more advanced security features for data sharing and further separation of duties using an external KMS, Redaction, and Compartment Security. Master data quickly and automatically in a MarkLogic Data Hub, without buying a separate Master Data Management (MDM) tool. It leverages fuzzy logic and AI to match and merge data to build a unified 360 view in the context of all your data. The MarkLogic multi-model database is designed for NoSQL speed and scale, without sacrificing the enterprise features. With a free developer license, you can start using the MarkLogic database in minutes. The MarkLogic Data Hub runs on top of the MarkLogic database, and provides everything you need to build a production-ready data hub for ingesting, harmonizing, and curating data. No prior knowledge of MarkLogic is required to get started, but it does help if you know some JavaScript. Need to manage your environment? From a single database to a large cluster, learn to deploy, monitor, and manage MarkLogic. Need to design and manage your data architecture? Learn how to use MarkLogic to integrate your data. This website uses cookies.By continuing to use this website you are giving consent to cookies being used in accordance with the MarkLogic Privacy Statement. Towards the bottom of the page. Go to File Log Level and change the logging level of the application log file (for example, 8543_ErrorLog.txt for the App Server on port 8543) if needed. Go to Log Errors and click true if you want uncaught application errors to go to the log file, otherwise click false. Scroll to the top or bottom and click OK.The log rotation of application log files follows the same rules as the system log file for that group, as described in the procedure for Configuring System Log Files. Viewing the System LogThe system log messages that MarkLogic Server generates are viewable using the standard system log viewing tools available for your platform. On Windows platforms, the seven levels of logging messages are collapsed into three broad categories and the system log messages are registered as MarkLogic. On UNIX platforms, the system logs use the LOG_DAEMON facility, which typically sends system log messages to a file such as /var/log/messages, although this can vary according to the configuration of your system.Viewing the Application and System File LogsThe private system file log is maintained as a simple text file, and the application logs are also maintained as simple text files. You may view the current or any archived file log at any time using standard text file viewing tools. Additionally, you can access the log files from the Log tab on the main page of the Admin Interface.The files are stored in the Logs directory under the MarkLogic Server data directory for your platform. You may have overridden the default location for this directory at installation time. The following table lists the default location of the file logs on your platform: Platform Private Log Files Microsoft Windows C:\Program Files\MarkLogic\Data\Logs\ErrorLog.txtC:\Program Files\MarkLogic\Data\Logs\_ErrorLog.txt Red Hat Enterprise Linux /var/opt/MarkLogic/Logs/ErrorLog.txt/var/opt/MarkLogic/Logs/_ErrorLog.txt Mac OS X ~/Library/Application Support/MarkLogic/Data/Logs/ErrorLog.txt~/Library/Application Support/MarkLogic/Data/Logs/_ErrorLog.txt The application log files are prefixed with the port number of the App Server corresponding the log file. These files contain a set of log messages ordered chronologically. The number of messages depends on the system activity and on the log level that you set. For example, a file log set to Debug would contain many lines of messages whereas a file log set to Emergency would contain the minimum set of messages.Any trace events are also written to the MarkLogic Server ErrorLog.txt file. Trace events are used to debug applications. You can enable and set trace events

MarkLogic 11 MarkLogic Developer - MarkLogic Community

People assume SPARQL returns triples. A SPARQL query returns solutions — that is, a sequence of “rows” according to what you specify in the SELECT clause).For more examples of combination queries and inference, see the materials for the half-day workshop on MarkLogic semantics, including data, a setup script, and Query Console workspaces. If you delete a Named Graph, will all the triples be deleted too? It depends.Here’s another place where MarkLogic supports the standards around Triple Stores, AND provides a document store, AND provides a bridge between the two.If you treat MarkLogic like a Triple Store, then a triple can only belong to one Named Graph; when you DROP that graph (using SPARQL Update), then all the triples in that graph will be deleted. You can also create permissions on the Named Graph, which will apply to all triples in that Named Graph.If you treat MarkLogic like a Document Store, then Named Graphs map to MarkLogic collections. If the document containing the triple is in collection-A, then you can query Named Graph and find that triple. A document can be in any number of collections, and so triples can be in any number of Named Graphs. If you do an xdmp:collection-delete(), all the documents in that collection will be deleted, even if those documents belong to other collections too. See workspace collections.xml.Would we ever delete a Named Graph?A Named Graph is a convenient way to partition triples when using MarkLogic as a Triple Store only. In that case, you may. MarkLogic is the only Enterprise NoSQL Database. Overview; Software. MarkLogic Data Platform; MarkLogic Server; Solutions. Developer Community Downloads MarkLogic 11. Menu. DOWNLOADS. Server. MarkLogic 11; MarkLogic 10; MarkLogic 11. Matches for cat:other (document-filter) have been highlighted. MarkLogic is the only Enterprise NoSQL Database. Overview; Software. MarkLogic Data Platform; MarkLogic Server; Solutions. Use Cases. Developer Community Downloads MarkLogic 10. Menu. DOWNLOADS. Server. MarkLogic 11; MarkLogic 10; MarkLogic 10. Matches for document-filter have been highlighted.

MarkLogic 10 MarkLogic Developer - MarkLogic Community

Those predicates?You should look at DESCRIBE Queries. Also, take a look at sem:transitive-closure — this is an XQuery library function (which lives in $MARKLOGIC/Modules/MarkLogic/semantics/sem-impl.xqy). If it doesn’t do exactly what you want, you can copy it and make changes. What are the implications of Faceted Search? Faceted Search lets you search over documents and display a value+count alongside the search results, the way a product search on amazon.com shows you the facets for brand, color, price band, and so on. You can build semantics-driven facets by writing a custom constraint. Should I use MarkLogic as a Triple Store only? Yes, MarkLogic works well as a Triple Store. It supports all the major standards – SPARQL 1.1, SPARQL 1.1 Update, Graph Protocol – so it can be used anywhere a regular Triple Store is used. In addition, MarkLogic has Enterprise features such as security, ACID transactions, scale-out, HA/DR, and so on which most Triple Stores don’t have. And many people find that they start out using MarkLogic as “just a Triple Store” and over time they move much of their data – the data that represents entities in the real world – into documents. It’s nice to have that option! How do I decide what to model as documents versus triples? Data is often grouped into entities (such as Person or Article). Consider modeling most entity data as documents and modeling only some of the “attributes” of your entities as triples — those attributes where you need to query across a View.They can only return references to documents that contain a match, they can’t return more granular results, except for those fields which you have explicitly identified at the outset and must commit to or else reload and re-index later.Search engines lie to you all the time in ways that are not always obvious because they need to take shortcuts to make performance targets. In other words, they don’t provide for a way to guarantee accuracy.If you change your indexing model, you need to reload all of the content from the external source and re-index it.They don’t provide transactional integrity, again preventing the possibility for real-time search.…to name a few.The last thing for consideration when surveying alternatives to an RDBMS solution is what I’ll call “enterprise worthiness”.Ok, finally how does MarkLogic compare? I’ll try to be as brief as possible—you’ve found your way to the MarkLogic website already, where there are plenty of materials to provide details. The important take-aways are that, unlike NoSQL technologies, MarkLogic is proven to scale horizontally on commodity hardware up to petabyte range:With full ACID transactional integrity (ie no compromise on consistency)While delivering real-time updates, search, and retrieval resultsWhile imposing no up-front constraints on data ingestion. (You don’t need to know or decide anything about your data model before you load it into MarkLogic.)While allowing for unlimited schemas (or no schemas)While automatically indexing every piece of text and document structure upon ingestion while maintaining MBs/sec/core ingestion ratesWhile leveraging document structure for targeted search and retrievalWhile delivering any level of document granularityAll (and much more) with enterprise worthy administration tools and worldwide 7×24 supportMarkLogic wasn’t built to solve a specialized problem. It was architected from the ground up to be an enterprise class platform for building applications at any scale which rely on sophisticated real-time search and retrieval functionality. If you’re looking for something that is as reliable as your trusty RDBMS, but is better suited for unstructured data and horizontal scale, then MarkLogic is the first place to look.So if MarkLogic is not really suitably grouped with the NoSQL technologies, where does it fit? It’s in a next-generation database class of it’s own. Here’s how I see it:E.F. Codd’s vision of the relational database was revolutionary because it separated database organization from the physical storage. Rather than worrying about data structures and retrieval procedures, developers could simply employ declarative methods for specifying data and queries. Oracle

MarkLogic 9 MarkLogic Developer - MarkLogic Community

MarkLogic 9 Product DocumentationAdministrator's Guide — Chapter 30This chapter describes the log files and includes the following sections: Application and System Log Files Understanding the Log Levels Configuring System Log Files Configuring Application Log Files Viewing the System Log Viewing the Application and System File Logs Accessing Log Files For information on the audit log files, see Auditing Events.Application and System Log FilesThere are separate log files for application-generated messages and for system-generated messages. This allows for separation of personally identifiable information (such as social security numbers, for example) and system messages (such as merge notices and other system activity). The application log files are configured on a per-App Server basis, and the system log files are configured at the group level. Each host has its own set of log files (both application and system log files). Things like uncaught application errors, which might contain data from an application, are sent to the application logs. Things like MarkLogic Server system activity are sent to the system log files.Understanding the Log LevelsMarkLogic Server sends log messages to both the operating system log and the MarkLogic Server system file log. Additionally, application log messages (messages generated from application code) are sent to the application logs. Depending on how you configure your logging functions, both operating system and file logs may or may not receive the equivalent number of messages. To enhance performance, the system log should receive fewer messages than the MarkLogic Server file log. MarkLogic Server uses the following log settings, where Finest is the most verbose while Emergency is the least verbose: Log Level Description Finest Extremely detailed debug level messages. Finer Very detailed debug level messages. Fine Detailed debug level messages. Debug Debug level messages. Config Configuration messages. Info Informational messages. This is the default setting. Notice Normal but significant conditions. Warning Warning conditions. Error Error conditions. Critical Critical conditions. Alert Immediate action required. Emergency System is unusable. Log file settings are applied on a per-group basis. By default, the system log for a group is set to Notice while the file log is set to Info. As such, the system log receives fewer log messages than the file log. You may change these settings to suit your needs. It is more efficient to write to the file log than to the system log. It is good practice to run in production with the Debug file log level to

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Semantic triples are less widely understood than some other data models, and combining them with documents is a capability unique to MarkLogic. This leads to some questions. Happily, Stephen Buxton has answers. How does inferencing work in MarkLogic? The Semantics Guide describes inferencing.I’ve attached a Query Console workspace that does “Hello World” inferencing and steps you through using one of the built-in rulesets (RDFS); creating and using your own; and combining rulesets. You can do this via Java or Jena or REST too.Query Console is an interactive web-based query development tool for writing and executing ad-hoc queries in XQuery, JavaScript, SQL and SPARQL. Query Console enables you to quickly test code snippets, debug problems, profile queries, and run administrative XQuery scripts. A workspace lets you import a set of pre-written queries. See instructions to import a workspace.Inference is a bit tricky to get your head around – you need data (triples); an ontology that tells you about the data (also triples); and rules that define the ontology language (rulesets). It may help to watch this video of Stephen’s talk at MarkLogic World in San Francisco (start at 18:50).Is inference expensive?In general yes, inference is expensive no matter what tool you use. When considering inference, you should:run inference over as small a set of triples as possibledon’t query for { ?s ?p ?o } with inferenceparadoxically, more complicated queries will often run faster, because you’re working the index to produce a smaller set of resultsrun inference with only the rules you. MarkLogic is the only Enterprise NoSQL Database. Overview; Software. MarkLogic Data Platform; MarkLogic Server; Solutions. Developer Community Downloads MarkLogic 11. Menu. DOWNLOADS. Server. MarkLogic 11; MarkLogic 10; MarkLogic 11. Matches for cat:other (document-filter) have been highlighted.

MarkLogic Fundamentals (Archive, MarkLogic 9 / MarkLogic 8)

In the Admin Interface, on the Diagnostics page for a group. You can also generate your own trace events with the xdmp:trace function.There must be sufficient disk space on the file system in which the log files reside. If there is no space left on the log file device, MarkLogic Server will abort. Additionally, if there is no disk space available for the log files, MarkLogic Server will fail to start.Accessing Log FilesMarkLogic Server also produces access log files for each App Server. The access logs are in the NCSA combined log format, and show the requests made against each App Server. The access log files are in the same directory as the ErrorLog.txt logs, and have the port number encoded into their name. For example, the access log files for the Admin Interface is named 8001_AccessLog.txt. You may view the current or any archived file log at any time using standard text file viewing tools. Additionally, you can access the log files from the Log tab on the main page of the Admin Interface. Older versions of the access logs are aged from the system according to the settings configured at the group level, as described in Configuring System Log Files.