Abstract: A method is disclosed for reducing inaccuracies in counts related to communication of messages in a manner that efficiently uses computer resources, including processing power and/or memory. An alert condition pertaining to delivery of a plurality of messages is received. The alert condition specifies a threshold number of dropped or failed deliveries. Based on a first time period elapsing, a first system check is performed. Based on a second time period elapsing, a second system check is performed. The second system check includes, based on a detection that the first message has failed during the second time period, decrementing the count for the dropped queue associated with the plurality of messages and incrementing a count for a failed queue associated with the plurality of messages, and, based on a detection that a second message has been dropped during the second time period, incrementing the count for the dropped queue.

Abstract: Disclosed are some examples of database systems, methods, and computer program products for processing log files. In some implementations, a server of a database system accesses a log file having a release version. The log file includes data entries identifying system events corresponding to user activity. The server generates or updates, based on the release version of the log file, a metadata file indicating approved entry types and approved data. The server also generates or updates, based on the log file and the metadata file, customer-facing log files. Each customer-facing log file is associated with a corresponding customer entity capable of being serviced by the database system. Each customer-facing log file includes a subset of the entries and a subset of the data items of at least one of the entries.

Abstract: Disclosed are methods, apparatus, systems, and computer program products for provisioning log file data. To provision the log file data, a server can parse through log files by identifying particular log entries and data fields. Customer-facing log files can be generated based on the identified log entries and data fields. A customer-facing log file has log file data specific to a particular customer, which can be a tenant of a multi-tenant database system. A security mechanism can be configured to prevent one tenant from accessing the customer-facing log file of another tenant of the multi-tenant database system.

Abstract: A database system captures custom information of a header section associated with a logged interaction of a user. The database system may receive a hypertext transfer protocol (http) message including the header section and determine whether the header section includes a predetermined data pattern associated with the custom information added by a second application that is different than a first application which initiated the http message. The database system may extract the custom information from the header section in response to determining that the header section includes the predetermined data pattern. The custom information and event data extracted from the logged interaction of the user may be stored on the database system as a storage element.

Abstract: A capture service running on an application server receives events from a client application running on an application server to be stored in a data store and stores the events in an in-memory bounded buffer on the application server, the in-memory bounded buffer comprising a plurality of single-threaded segments, the capture service to write events to each segment in parallel. The in-memory bounded buffer provides a notification to a buffer flush regulator when a number of events stored in the in-memory bounded buffer reaches a predefined limit. The in-memory bounded buffer receive a request to flush the events in the in-memory bounded buffer from a consumer executor service. The consumer executor service consumes the events in the in-memory bounded buffer using a dynamically sized thread pool of consumer threads to read the segments of the bounded buffer in parallel, wherein consuming the events comprises writing the events directly to the data store.

Abstract: A capture service running on an application server receives events from a client application running on an application server to be stored in a data store and stores the events in an in-memory bounded buffer on the application server, the in-memory bounded buffer comprising a plurality of single-threaded segments, the capture service to write events to each segment in parallel. The in-memory bounded buffer provides a notification to a buffer flush regulator when a number of events stored in the in-memory bounded buffer reaches a predefined limit. The in-memory bounded buffer receive a request to flush the events in the in-memory bounded buffer from a consumer executor service. The consumer executor service consumes the events in the in-memory bounded buffer using a dynamically sized thread pool of consumer threads to read the segments of the bounded buffer in parallel, wherein consuming the events comprises writing the events directly to the data store.

Abstract: A capture service running on an application server receives events from a client application running on an application server to be stored in a data store and stores the events in an in-memory bounded buffer on the application server, the in-memory bounded buffer comprising a plurality of single-threaded segments, the capture service to write events to each segment in parallel. The in-memory bounded buffer provides a notification to a buffer flush regulator when a number of events stored in the in-memory bounded buffer reaches a predefined limit. The in-memory bounded buffer receive a request to flush the events in the in-memory bounded buffer from a consumer executor service. The consumer executor service consumes the events in the in-memory bounded buffer using a dynamically sized thread pool of consumer threads to read the segments of the bounded buffer in parallel, wherein consuming the events comprises writing the events directly to the data store.

Abstract: A capture service running on an application server receives events from a client application running on an application server to be stored in a data store and stores the events in an in-memory bounded buffer on the application server, the in-memory bounded buffer comprising a plurality of single-threaded segments, the capture service to write events to each segment in parallel. The in-memory bounded buffer provides a notification to a buffer flush regulator when a number of events stored in the in-memory bounded buffer reaches a predefined limit. The in-memory bounded buffer receive a request to flush the events in the in-memory bounded buffer from a consumer executor service. The consumer executor service consumes the events in the in-memory bounded buffer using a dynamically sized thread pool of consumer threads to read the segments of the bounded buffer in parallel, wherein consuming the events comprises writing the events directly to the data store.

Abstract: A database system captures custom information of a header section associated with a logged interaction of a user. The database system may receive a hypertext transfer protocol (http) message including the header section and determine whether the header section includes a predetermined data pattern associated with the custom information added by a second application that is different than a first application which initiated the http message. The database system may extract the custom information from the header section in response to determining that the header section includes the predetermined data pattern. The custom information and event data extracted from the logged interaction of the user may be stored on the database system as a storage element.

Abstract: In an example, a processing system of a database system may categorize event data taken from logged interactions of users with a multi-tenant information system to provide a metric. The processing system of the database system may periodically calculate the metric for a particular one of the tenants, and electronically store the periodically calculated metrics for accessing responsive to a query of the particular tenant.

Abstract: Techniques for updating license information within a multitenant on-demand services environment where the license information is not automatically updated from a production organization to a sandbox organization and the sandbox organization is a sub-tenant of the production organization and the sandbox organization and the production organization utilize different logical databases. A request is received for updating licenses within the sandbox organization. Updated license information is requested from the production organization by making a cross-instance call. The updated license information is received from the production organization. The licenses are updated within the sandbox. License aggregation is initialized utilizing the updated licenses within the sandbox. The license aggregation requires a higher level of authorization than the requesting the updated license information.

Abstract: Disclosed are some examples of database systems, methods, and computer program products for processing log files. In some implementations, a server of a database system accesses a log file having a release version. The log file includes data entries identifying system events corresponding to user activity. The server generates or updates, based on the release version of the log file, a metadata file indicating approved entry types and approved data. The server also generates or updates, based on the log file and the metadata file, customer-facing log files. Each customer-facing log file is associated with a corresponding customer entity capable of being serviced by the database system. Each customer-facing log file includes a subset of the entries and a subset of the data items of at least one of the entries.

Abstract: Disclosed are methods, apparatus, systems, and computer program products for provisioning log file data. A server may parse through log files by selecting particular log entries and data fields. Customer-facing log files may be generated based on the selected log entries and data fields.