数据虚拟化系统,Teiid 8.12.4 发布
Teiid是一个数据虚拟化系统,让应用程序使用来自多个异构数据存储的数据。
Teiid 8.12.4 发布,更新如下:
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[TEIID-3874] - Invalid source query for subquery referencing a common table
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[TEIID-3879] - Error during state transfer prevents a node from loading later
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[TEIID-3880] - Missing dependency in "org.apache.olingo" module
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[TEIID-3882] - Unable to convert Geometry Collection to GeoJSON
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[TEIID-3884] - Queries with NextToken failing with NPE
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[TEIID-3885] - Redshift - conversion to time does not work
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[TEIID-3886] - Redshift - query ends with error message "Query cancelled on user's request"
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[TEIID-3887] - Redshift - RS does not support ASCII function
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[TEIID-3888] - Redshift - there is not function SUBSTR (RS uses SUBSTRING)
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[TEIID-3889] - asynch start transaction / rollback throws exception
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[TEIID-3891] - MetadataFactory create function from method does not account for primitive return types
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[TEIID-3892] - There is no pg type for geometry
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[TEIID-3895] - OData - metadata returns primary key with attribute "Nullable=true"
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[TEIID-3897] - dimensional check for ewkb is incorrect
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[TEIID-3900] - OData - malformed URL causes NPE
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[TEIID-3876] - Add an option to import RowId as binary
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[TEIID-3899] - Allow Web Services translator to retrieve metadata without source connection
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[TEIID-3270] - Allow UDFs to call Teiid functions
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[TEIID-3419] - Add ability to set a default role across all VDBs
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[TEIID-3870] - Add ability to properly qualify package objects
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[TEIID-3890] - Add a redshift translator
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[TEIID-3865] - too much logging of source cancel
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[TEIID-3866] - with clause used by subquery repeated in the subquery
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[TEIID-3875] - Many info messages upon startup that start with: TEIID31173 Inherent
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[TEIID-3893] - Handling of binary odbc parameters needs improved
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[TEIID-3896] - When error occurs in the materialization process, an ERROR should be logged instead of DEBUG
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[TEIID-3901] - MetadataFactory should account for user defined aggregate functions
更多内容请看:发行说明
下载:released
Teiid由一堆工具,组件和创建和执行双向数据的服务所组成。通过抽象和联合、数据存取和集成的实时分布式数据源,无需进行复制或以其他方式移动数据系统的纪录。
简而言之:Teiid 可以让你用 JDBC + SQL 来访问企业的任何数据,并可对这些不同源的数据进行联合查询。