Direct use means the ability to access and update data in a "native" storage format without intermediate format translations in an environment e. GeoPackages are interoperable across all enterprise and personal computing environments, and are particularly useful on mobile devices like cell phones and tablets in communications environments with limited connectivity and bandwidth. Keywords ogcdoc, geopackage, sqlite, raster, tiles, vector, feature, data, storage, exchange, mobile, smartphone, tablet Introduction A GeoPackage is an open, standards-based, platform-independent, portable, self-describing, compact format for transferring geospatial information. The required and supported content of a GeoPackage is entirely defined in the standard.
Adaptive Cursor Sharing Views Purpose of Adaptive Cursor Sharing With bind peeking, the optimizer peeks at the values of user-defined bind variables on the first invocation of a cursor.
The optimizer determines the cardinality of any WHERE clause condition as if literals had been used instead of bind variables. When the optimizer peeks at the value of the user-defined bind variable and chooses a plan, this plan may not be good for all values.
In adaptive cursor sharing, the database monitors data accessed over time for different bind values, ensuring the optimal choice of cursor for a specific bind value. For example, the optimizer might choose one plan for bind value 10 and a different plan for bind value Cursor sharing is "adaptive" because the cursor adapts its behavior so that the optimizer does not always choose the same plan for each execution or bind variable value.
Thus, the optimizer automatically detects when different execution of a statement would benefit from different execution plans.
Adaptive cursor sharing is equally applicable to statements that contain user-defined and system-generated bind variables.
Adaptive cursor sharing does not apply to statements that contain only literals.
How Adaptive Cursor Sharing Works: Example Adaptive cursor sharing monitors statements that use bind variables to determine whether a new plan is more efficient. Assume that an application executes the following statement five times, binding different values every time: The database processes this statement as follows: The application issues the statement for the first time, which causes a hard parse.
During the parse, the database performs the following tasks: Peeks at the bind variables to generate the initial plan. Marks the cursor as bind-sensitive. A bind-sensitive cursor is a cursor whose optimal plan may depend on the value of a bind variable.
To determine whether a different plan is beneficial, the database monitors the behavior of a bind-sensitive cursor that uses different bind values. Stores metadata about the predicate, including the cardinality of the bound values in this example, assume that only 5 rows were returned.
Creates an execution plan in this example, index access based on the peeked values. The database executes the cursor, storing the bind values and execution statistics in the cursor. The application issues the statement a second time, using different bind variables, causing the database to perform a soft parse, and find the matching cursor in the library cache.
The database executes the cursor.
The database performs the following post-execution tasks: The database compares the execution statistics for the second execution with the first-execution statistics.
The database observes the pattern of statistics over all previous executions, and then decides whether to mark the cursor as a bind-aware cursor.
In this example, assume that the database decides the cursor is bind-aware. The application issues the statement a third time, using different bind variables, which causes a soft parse.
Because the cursor is bind-aware, the database does the following: Determines whether the cardinality of the new values falls within the same range as the stored cardinality. In this example, the cardinality is similar: Reuses the execution plan in the existing child cursor.How do the networks find those other people?
Sometimes the recommendations seem creepy and privacy-invasive, like when Facebook suggested a psychiatrist’s patients friend each other, or when it. pfmlures.com_os_memory_brokers (Transact-SQL) 08/18/; 2 minutes to read Contributors. all; In this article APPLIES TO: SQL Server (starting with ) Azure SQL Database Azure SQL Data Warehouse Parallel Data Warehouse Allocations that are internal to .
Recommendation systems is one of the widely used ML concept. This project aims to develop my understanding of Recommendation systems using GraphLab and the Jester Dataset. Using the user ratings of the Jester Dataset, we built a recommendation system with Matrix Factorization.
Synonyms of 'recommendation' Thesaurus for recommendation from the Collins English Thesaurus. 1 2 3. Dictionary definition. The recommendations of a person or a committee are their suggestions or advice on what is the best thing to do.
See full definition of recommendation. Verbs. Rationale. This recommendation is needed as, even though the majority of distributions still alias the python command to Python 2, some now alias it to Python 3 ().As some of the former distributions did not provide a python2 command by default, there was previously no way for Python 2 code (or any code that invokes the Python 2 interpreter directly rather than via pfmlures.comable) to reliably.
Sep 19, · The SRTSPSYS is a Norton Internet Security driver. As an initial recommendation, I suggest you to b oot the computer in safe mode with networking, and check if the issue still persist.
This is a diagnostic step towards identifying and isolating the possible cause/s of the issue.