New Features in Mark. Logic 9 Release Notes. Mark. Logic 9 Product Documentation. This chapter describes the new features in Mark. Logic 9. Mark. Logic 9 enables you to define a relational lens over your document data, so you can query parts of your data using SQL or the new Optic API. Templates let you specify which parts of documents make up rows in a view. You can also use templates to define a semantic lens, specifying which values from a document make up triples in the triple index. For more details, see Template Driven Extraction TDE in the Application Developers Guide. Mark. Logic is a No. SQL database, where the unit of storage and indexing is a document. The document model makes it possible to express rich, related, varying structures anything from a scientific journal article to a complex derivative trade. Many users want to view parts of these rich structures as though they were simple tables to see the data in those documents through a relational lens. While it is possible to create and query SQL views with Mark. Nokia 6555 Unlock Software there. Logic 8, Mark. Logic 9 further enhances the SQL capabilities with a number of new features, including Templates, the new Optic API, and an updated ODBC driver. In Mark. Logic 9, you can define a template that specifies which parts of the document make up a row in a view, and then query that view from a server side program with xdmp sql or xdmp. ODBC. You can also query that view server side from the new Mark. Logic Optic API a fluent Java. Used as graticule markings on some UTM maps of Ireland Not GPScompatible. Script interface with the ability to perform joins and aggregates on views over documents. The Optic API blends the relational world with rich No. SQL document features by providing the capability to perform joins and aggregates over documents. The Ordnance Survey National Grid reference system is a system of geographic grid references used in Great Britain, different from latitude and longitude. One of the enabling features, Template Driven Extraction, makes it possible to create a relational lens over documents stored in Mark. Logic by using templates to specify the parts of a document that make up a row in a view. You can access that data using the Optic API in XQuery, Java. Script, or Java. For more details, see Optic API for Relational Operations in the Application Developers Guide. Mark. Logic 9 adds more flexibility to the Tiered Storage feature. First, it allows documents to be matched to a tier based on a query, in addition to the current solution that is based on a range index pair of boundary values. That means that any complex query can be used to create a policy to match data or metadata about documents in order to decide in which tier to save or move the document. Second, it allows tiered storage queries to match dates using age, for instance, you can write a query for high end tier that matches documents created in the last 3. Third, it removes the need of using super databases to create tiers, simplifying the life of developers, which were required to understand the tiering policy in order to write high performance queries or any update. Mark. Logic 9 adds more performance to the Tiered Storage feature. Now queries that use elements which are part of the tiering policy are optimized to run against the nodes that are more likely to have that data. That means that if you have a query that uses the same element as the tiering policy, for instance an element range query on create date 3. Mark. Logic 9 introduces the ability to encrypt data at rest data that is on media on disk or in the cloud, as opposed to data that is being used in a process. Encryption can be applied to newly created files, configuration files, or log files. Existing data files can be encrypted by triggering a merge or re index of the data. For more information about using Encryption at Rest, see Encryption at Rest in the Mark. Logic Security Guide. Element Level Security is an addition to the Mark. Logic security model that allows you to specify more complex security rules for specific elements within documents. Element Level Security can be applied to either JSON or XML documents. Users without the appropriate permissions cannot view the secured element or JSON property. Download Software El Reto De Ser Padres Pdf'>Download Software El Reto De Ser Padres Pdf. Element Level Security can be used in addition to the existing document level security and compartment security. For details about using Element Level Security, see Element Level Security in the Security Guide. Mark. Logic 9 introduces a new library module and mlcp command line option that enable you to redact sensitive data when extracting documents from the database. Tuneup Utilities 2007. Redaction enables you to obscure or hide portions of a document using a rule based read transformation. Redaction is available through the following interfaces The mlcp redaction command line option. The rdt redact XQuery function. The rdt. redact Server Side Java. Script function. For more details, see Redacting Document Content in the Application Developers Guide and Redacting Content During Export or Copy Operations in the mlcp User Guide. Mark. Logic 9 includes the following enhancements to geospatial operations Geospatial region search, including a new geospatial region index type. ETRS 8. 9 coordinate system support. Double precision coordinate support. Support for kilometers, meters, and feet as units of measure. You can take advantage of these enhancements using all of the Mark. Logic geospatial and search related interfaces, including cts search, search search, JSearch, and the REST, Java, and Node. Client APIs. The performance of geospatial region queries for geographic coordinate systems WGS8. Etrs89 To Wgs84 Converter' title='Etrs89 To Wgs84 Converter' />ETRS8. Performance will be improved in a future release. For details, see Geospatial Search Applications in the Search Developers Guide. The Entity Services API enables you to quickly and easily model your business entities and relationships between them and then generate code and configuration artifacts that provide a framework for an entity based application. The artifacts you generate with the Entity Services API make it easier to create entities from raw source data, query entities and the relationships between them, and manage your entities and models. For details, see the Entity Services Developers Guide. In Mark. Logic 9 the default tokenization and stemming code has been changed for all languages except English tokenization. Some tokenization and stemming behavior will change between Mark. Logic 8 and Mark. Logic 9. We expect that in most cases results will be better in Mark. Logic 9. You can now customize stemming and tokenization for a language by selecting one of several built in stemmer and lexer plug ins, or by creating your own stemmer and lexer plug ins in C. You can also configure a custom stemming andor tokenization dictionary for any language. Previously, you could not distinguish between stemming and tokenization dictionaries, and you could not install a dictionary for an unsupported language. For more details, see the following topics Mark. Logic 9 adds three new cts query constructor options for controlling wildcard expansion. When evaluating a wildcarded search term, Mark. Logic must sometimes make a tradeoff between speed and accuracy. Mark. Logic attempts to expand a wildcard term from the lexicon. To prevent this expansion from taking too long, there is a limit on how many words Mark. Logic will extract from the lexicon. When the limit is reached, Mark. Logic falls back on alternative strategies that accurate for all possible terms containing wildcard characters. For many searches, these inaccuracies are an acceptable tradeoff for the fast reponse of an unfiltered search.