These can be set by means of the attr command, displayed with the displayattr command, and deleted by the deleteattr command.
Integrated security offers several benefits: Passwords do not need to be stored in the application. Protocol Considerations Integrated security is only available when using either the named pipes or multiprotocol Net-Libraries. When using the multiprotocol Net-Library, the SA can also configure the server to encrypt packets sent across the network, so that even users of network sniffers cannot see the data.
Due to their added functionality, such as the encryption feature, the multiprotocol Net-Libraries are somewhat slower than the others.
Other considerations, however, such as database design, indexing, and the design of queries and applications, usually have a greater impact on performance than the choice of a Net-Library.
The default packet size is set at the server, and is 4K. Applications can set the packet size themselves if testing shows that they perform better with a different packet size.
Some applications may perform better with a larger packet size, but performance improvements are generally minimal for packet sizes larger than 8K.
The command syntax to use the utility is: When odbcping makes a successful connection, it displays a message indicating the connection was successful and the versions of the driver and server.
The pfNative or Native Error code is important in diagnosing connection problems. For more information, see "pfNative Error Codes. Many of the concepts apply to database applications in general. Columns in a Result Set Applications should select only the columns needed to perform the task at hand.
Not only does this reduce the amount of data sent across the network, it also reduces the impact of database changes on the application.
If an application does not reference a column from a table, then the application is not affected by any changes made to that column. Stored Procedures Sites can realize performance gains by coding most of their SQL statements into stored procedures and having applications call the stored procedures rather than issuing the SQL statements themselves.
This offers the following benefits: Higher performance The SQL statements are parsed and compiled only when the procedures are created, not when the procedures are executed by the applications.
Reduced network overhead Having an application execute a procedure instead of sending sometimes complex queries across the network can reduce the traffic on the network.
Better consistency The organization's business rules can be coded and debugged once in a stored procedure, and they will then be consistently applied by all of the applications.
The site does not have to depend on all application programmers coding their SQL statements correctly in all the applications.
Better accuracy Most sites will have their best SQL programmers developing stored procedures. This means that the SQL statements in procedures tend to be more efficient and have fewer errors than when the code is developed multiple times by programmers of varying skill levels.
Batches An application that builds several SQL statements to execute realizes better performance if it batches the statements together and sends them to the server all at once.
This will reduce the number of network roundtrips the application uses to perform the same work. The bindings are not automatically undone when the statement completes.
This logic allows applications to effectively deal with situations where they may execute the same SELECT statement several times with different parameters.
Row-wise binding is somewhat faster than column-wise binding. If an application does not always put the data in the same set of variables, it should use SQLGetData instead of constantly rebinding. The column must also appear after any columns on which the application has already used a SQLGetData.
For example, an application that displays a numeric column can ask the driver to convert the data from numeric to character: Unless data conversion is a required part of the application, the application should bind columns to a program variable of the same data type as the column in the result set.
If the application needs to have the data converted, it is more efficient for the application to ask the driver to do the data conversion than for the application to do it. The driver normally just transfers data directly from the network buffer to the application's variables.
Requesting the driver to perform data translation forces the driver to buffer the data and use CPU cycles to perform the conversion. Data Truncation If an application attempts to retrieve data into a variable that is too small to hold it, the driver generates a warning.ORA nonschema XML disallowed for this column.
Cause: An attempt was made to insert nonschema based XML documents in a binary XML column that disallows nonschema data. Action: Insert only schema-based documents or alter the column to ALLOW NONSCHEMA data. Hue is a web interface for Apache Hadoop that makes common Hadoop tasks such as running MapReduce jobs, browsing HDFS, and creating Apache Oozie workflows, easier.
(To learn more about the integration of Oozie and Hue, see this blog post.) In this post, we’re going to focus on how one of the fundamental components in Hue, Useradmin, has matured.
The secondary database(s) are available only for connection for which the Application Intent connection property is set to ReadOnly (read-intent connections). For information about this connection property, see SQL Server Native Client Support for High Availability, Disaster Recovery.
Cause: An attempt was made to set the base definition of another definition object, e.g., setting B's base definition to A (i.e., B Extends A). However, A already extends B. Setting a recursive (circular) subclassing relationship among definition objects is illegal.
Because Impala uses the same metadata store as Hive to record information about table structure and properties, Impala can access tables defined through the native Impala CREATE TABLE command, or tables created using the Hive data definition language (DDL).
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