Currently, Navicat Essentials is available for MySQL, SQL Server, PostgreSQL, Oracle and SQLite databases. Navicat Essentials is for Commercial use. It supports the latest features including Trigger, Function, View, and it also comes with an Import/Export tool which allow user to import and export data from plain text file formats including TXT, CSV and XML. Specify the number of tessellation cells per object that can be used for a single spatial object in the index by the tessellation process.Navicat Essentials is a compact version of Navicat which provides basic and necessary features you will need to perform simple administration on a database. Specify the x-coordinate (X) and y-coordinate (Y) of the upper-right corner of the bounding box. Specify the x-coordinate (X) and y-coordinate (Y) of the lower-left corner of the bounding box. The tessellation scheme for the spatial index. Select a spatial column which the index is based. Specify the primary XML index to use in creating a secondary XML index. In the PATH secondary index, the path and node values are key columns that allow efficient seeks when searching for paths.Ĭreate a secondary XML index on columns where key columns are (node value and path) of the primary XML index.Ĭreate a secondary XML index on columns (PK, path and node value) of the primary XML index where PK is the primary key of the base table. Select the xml column on which the index is based.Ī clustered index is created with the clustered key formed from the clustering key of the user table and an XML node identifier.Ĭreate a secondary XML index on columns built on path values and node values in the primary XML index. Specify the data compression option for the specified index, partition number, or range of partitions. Note: Support from SQL Server 2008 or later. Note: SQL Azure does not support this tab.Ĭhoose a partition scheme that storing the index.Ĭhoose a partition scheme for FILESTREAM data. Storage Properties for Nonclustered and Clustered Indexes Override the max degree of parallelism configuration option for the duration of the index operation. Long-term table locks are not held for the duration of the index operation. Specify to store temporary sort results in tempdb. The percentage of free space that is specified by fillfactor is applied to the intermediate-level pages of the index. Specify a percentage that indicates how full the Database Engine should make the leaf level of each index page during index creation or rebuild. The Database Engine determines when page locks are used. Page locks are allowed when accessing the index. Note: Support from SQL Server 2005 or later. The Database Engine determines when row locks are used. Row locks are allowed when accessing the index. Only the rows violating the uniqueness constraint will fail. Note: Support from SQL Server 2008 or later and SQL Azure.Īdvanced Properties for Nonclustered and Clustered IndexesĪ warning message will occur when duplicate key values are inserted into a unique index. To create a filtered index, specify which rows to include in the index. Note: Support from SQL Server 2005 or later and SQL Azure. Select the non-key columns to be added to the leaf level of the nonclustered index. Included Columns (only for Nonclustered Index) Select the column or columns on which the index is based and the sorting order. General Properties for Nonclustered and Clustered IndexesĪ unique index is one in which no two rows are permitted to have the same index key value.Ĭhoose to create a table index or a view index. Spatial index is supported from SQL Server 2008 or later and SQL Azure. XML index is supported from SQL Server 2005 or later. You can choose the index Type: Nonclustered, Clustered, XML or Spatial. Note: SQL Azure does not support the Comment tab. Click -> Index to open an object list for Index. Indexes can also enforce uniqueness on the rows in a table, ensuring the data integrity of the table data. Indexes can reduce the amount of data that must be read to return the query result set. You can significantly improve the performance of database queries and applications by creating well-designed indexes to support your queries. An index contains keys built from one or more columns in the table, or view, and pointers that map to the storage location of the specified data. An index in a database lets you quickly find specific information in a table or indexed view.
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