A question regarding garbage collector.If i have created database connection and performed some operations on databse and after that i have not used connection object for longer time can garbage collector frees my connection. I want this connection to be used later.

If you loose the last reference to a connection (by overwriting it or setting to null) garbage collector will release all Java objects associated with the connection and the connection itself. But it will not release the underlying database connection, hence you must always explicitly call:

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The Database Collector is the process that runs within a Database Agent to collect performance metrics about your database instances and database servers. To enable the Database Agent to collect data, you must add and configure a Database Collector for each database instance that you want to monitor. See Add Database Collectors.

Though many Collector configuration details can be edited, its database platform type can't be changed. So, if you've chosen the wrong database type, you'll have to add a new Collector with the right type. You'll want to delete the incorrect one. You may also want to delete the Collector for an unused or outdated database in order to free its license for other use.

Your DMS data collector uses .NET libraries, connectors, and data providers to connect to your source databases. The DMS data collector installer automatically installs this required software for all supported databases on your server.

DMS data collector uses an LDAP directory to gather information about the machines and database servers in your network. Lightweight Directory Access Protocol (LDAP) is an open standard application protocol. It's used for accessing and maintaining distributed directory information services over an IP network. You can add an existing LDAP server to your project for data collector that you can use for discovering information about the infrastructure of your systems. To do so, choose the +Server option, then specify a fully qualified domain name (FQDN) and the credentials for your domain controller. After adding the server, validate the connection check. To get started with the discovery process, see Discovering OS and database servers to monitor.

Before you create a data collector, use the IAM console to create a service-linked role for DMS Fleet Advisor. This role allows principals to publish metric data points to Amazon CloudWatch. DMS Fleet Advisor uses this role to display charts with database metrics. For more information, see Creating a service-linked role for AWS DMS Fleet Advisor.

What I need to do is enter data from a form on an mobile device, preferably both iOS and android, which will update tables in a backend database, potentially something with GIS extensions such as PostGIS. That would enable me to easily incorporate the data into QGIS. It must be able to work offline and many of the areas we work have not 3G coverage. Ideally you would be able to also cache selected data on the device for offline use. Map integrations is not important.

There is also QField for QGIS which is QGIS with a simplified interface for touch interaction. It supports constraints defined in QGIS projects, forms defined in QGIS projects and a wide variety of on- and offline data providers. Among them PostGIS and GeoPackage. Synchronisation with an offline copy of a database has to be done manually as a preparation step on a desktop computer with QGIS but a QGIS plugin QFieldSync is available to ease the job. Unfortunately it is only possible to use it on Android so far, it would be easy to port it to Windows and probably possible to port it to iOS as well.

What ESRI does well is that if you have a geodatabase set up with a feature domain, then you publish that table to ArcGIS Online, then use Collector, all your forms are created automatically. If you need further manipulate the data after submission using programming, you can use the ArcGIS API for Python to get data in and out of AGOL.

It is similar to and originally based upon Spatialite, a flat-file portable, cross-platform spatial database. Once/if the spec is finalized, incorporation into QGIS will more than likely happen quickly, possibly for version 2.4, since there is already preliminary support via GDAL/OGR, a core spatial provider in QGIS.

This short video show how Quantum GIS can be used to do live tracking and sampling in the field, by installing it on tablet pc (in this case with Atom architecture) and pairing it with a GPS unit (in this case a bluetooth datalogger). The specific use case is about the "MOVE" project by University of vora (Portugal): in this project every day the roads of a specific study area are checked by car, at slow speeds, looking for road killed animals. The data is stored in a local Spatialite database, that is later used to update a PostGIS database.

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This basically means your (virtual?) machine is too slow or overloaded, because the statistics collector background task is being starved. It is running with a lower priority by default, because you do not want it to disrupt normal database operations (too much).

I have a similar problem in a fairly different situation: the database runs on a windows desktop PC together with Apache and proprietary machine control software. My case fits in the "slow or overloaded" category. However, I see this happening even at night while the machine is idle. I've been monitoring many system parameters with PRTG to try to find a link with a specific activity, but I can only see the consequences, not the cause.

Both CLZ Movies and Movie Connect can be used on their own, as a stand-alone solution. But these tools really come to life when used together, as they are great companions. 

While away from your computer use CLZ Movies on your phone, then use Movie Connect at home, to work on your database on a big screen, with a real keyboard. 

Of course, you can sync your database between them through our CLZ Cloud solution.

Collector for ArcGIS stores offline replicas in a SQLite database or runtime geodatabase (as .geodatabase files) before they are synchronized to the feature service. In the event the offline edits cannot be synchronized, the locally stored edits are extracted from the mobile device and converted to a file geodatabase. The instructions below describe steps to do this in Collector for ArcGIS on both the iOS and Android operating systems.

In ArcMap, use the runtime geodatabase recovered from the device as the input for the Copy Runtime Geodatabase to File Geodatabase Tool. The output of this tool is a file geodatabase containing any unsynchronized edits and photo attachments that can now be migrated back into the original database if necessary.

You can configure Database Collectors to pull events from database management systems (DBMSs). This enables you to combine such structured data with unstructured machine data, and then route combined data to downstream systems of analysis to gain new insights.

Database Collectors rely on Cribl Stream Database Connections Knowledge objects. Before you configure a Collector, configure a Database Connection to negotiate authenticated communication with the appropriate database type.

SQL query: Enter a JavaScript expression, enclosed in backticks, that resolves to a query string for selecting data from the database. Supports only a single statement, and only SELECT. Has access to the special ${earliest} and ${latest} variables, which will resolve to the Collector run's start and end time. Example:

For your tracking column, you can choose any column whose values always increase from one record to the next. (A sequence of values that behaves like this is said to increase monotonically.) Many database tables have monotonically-increasing id, time, and/or date columns.

Finally, the ORDER BY clause, ORDER BY id, guarantees that the query returns rows such that the value of the tracking column (here, id) increases monotonically from row to row. For state tracking to work correctly, rows must be returned such that the value of the tracking column increases monotonically. Some databases have mechanisms that achieve this without an ORDER BY clause, but one way or another, this requirement must be satisfied.

This query differs from the basic example above in one important way: We use the SQL function UNIX_TIMESTAMP() to convert the value in the database's timestamp column, from a date to an integer. (This example assumes that we're dealing with a MySQL database, where the timestamp column's value will be a date.)

For SQL Query, input a string like the following. Include the backticks, and use the table and column names from your own database. In this example, the DATEDIFF function is specific to a SQL Server database; the function for your database may differ.

In this example the SQL Server function DATEDIFF(s, '1970-01-01 00:00:00', ) must be used to convert the database date value to a numeric Epic (seconds since Epoch) value. This conversion is needed because most databases return a formatted timestamp string mm/dd/yyyy hh:mm:ss (2023-07-11 14:24:18), which must be converted to a number for state tracking. In this case, Cribl Stream returns the raw timestamp column as well as the timestamp converted to a number, which is required for state tracking.

When you first configure a Database Collector, you might need to experiment with SQL queries until you arrive at one that returns the desired results. In doing this, you might need the queries you're testing to always start from the same place in the database. If you're using a tracking column, this won't work, because each query will move you further along in the database. The solution is to clear state between iterations of the query you're building. be457b7860

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