Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system uses a search node catalog to identify search nodes that are available to execute the query and uses a bucket catalog to identify buckets to be searched. The data intake and query system executes the query using the identified bucket and search nodes.

Abstract: Systems and methods are described for establishing and managing components of a distributed computing framework implemented in a data intake and query system. The distributed computing framework may include a master and a plurality of worker nodes. The master may selectively operate on a search head captain that is chosen from the search heads of the data intake and query system. The search head captain may distribute configuration information for the master and the distributed computing framework to the other search heads, which in turn, may distribute that configuration information to indexers of the data intake and query system. Worker nodes may be selectively activated for operation on the indexers based on the configuration information, and the worker nodes may additionally use the configuration information to contact the master and join the distributed computing framework.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system maintains a catalog of buckets stored in a remote shared storage system. The buckets store raw machine data associated with a timestamp. The data intake and query receives a query identifying a set of data to be processed and a manner of processing the set of data, and executes the query based on the catalog of buckets.

Abstract: Embodiments are disclosed for performing cache aware searching. In response to a search query, a first bucket and a second bucket in remote storage for processing the search query. A determination is made that a first file in the first bucket is present in a cache when the search query is received. In response to the search query, a search is performed using the first file based on the determination that the first file is present in the cache when the search query is received, and the search is performed using a second file from the second bucket once the second file is stored in the cache.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system uses one or more containerized search nodes to execute the query and stores the results in a data store for combination with additional query results.

Abstract: Embodiments are disclosed for a prefetching method that may include copying, in response to a search query, a first bucket from a remote storage to a cache. The first bucket may include first data associated with the search query. The method may further include identifying a first file type associated with a first file in the first bucket. The first file may be associated with a usage status. The method may further include accessing, based on the search query, a second bucket from the remote storage. The second bucket may include second data associated with the search query. The method may further include identifying a second file in the second bucket having the first file type, and copying, in response to the usage status indicating that the first file was used in processing the search query, the second file from the remote storage to the cache.

Abstract: Embodiments are disclosed for performing cache aware searching. In response to a search query, a first bucket and a second bucket in remote storage for processing the search query. A determination is made that a first file in the first bucket is present in a cache when the search query is received. In response to the search query, a search is performed using the first file based on the determination that the first file is present in the cache when the search query is received, and the search is performed using a second file from the second bucket once the second file is stored in the cache.

Abstract: Embodiments are disclosed for a prefetching method that may include copying, in response to a search query, a first bucket from a remote storage to a cache. The first bucket may include first data associated with the search query. The method may further include identifying a first file type associated with a first file in the first bucket. The first file may be associated with a usage status. The method may further include accessing, based on the search query, a second bucket from the remote storage. The second bucket may include second data associated with the search query. The method may further include identifying a second file in the second bucket having the first file type, and copying, in response to the usage status indicating that the first file was used in processing the search query, the second file from the remote storage to the cache.

Abstract: Embodiments are disclosed for performing cache aware searching. In response to a search query, a first bucket and a second bucket in remote storage for processing the search query. A determination is made that a first file in the first bucket is present in a cache when the search query is received. In response to the search query, a search is performed using the first file based on the determination that the first file is present in the cache when the search query is received, and the search is performed using a second file from the second bucket once the second file is stored in the cache.

Abstract: Embodiments are disclosed for performing cache aware searching. In response to a search query, a first bucket and a second bucket in remote storage for processing the search query. A determination is made that a first file in the first bucket is present in a cache when the search query is received. In response to the search query, a search is performed using the first file based on the determination that the first file is present in the cache when the search query is received, and the search is performed using a second file from the second bucket once the second file is stored in the cache.

Abstract: Embodiments are disclosed for a prefetching method that may include copying, in response to a search query, a first bucket from a remote storage to a cache. The first bucket may include first data associated with the search query. The method may further include identifying a first file type associated with a first file in the first bucket. The first file may be associated with a usage status. The method may further include accessing, based on the search query, a second bucket from the remote storage. The second bucket may include second data associated with the search query. The method may further include identifying a second file in the second bucket having the first file type, and copying, in response to the usage status indicating that the first file was used in processing the search query, the second file from the remote storage to the cache.

Abstract: Embodiments are disclosed for a prefetching method that may include copying, in response to a search query, a first bucket from a remote storage to a cache. The first bucket may include first data associated with the search query. The method may further include identifying a first file type associated with a first file in the first bucket. The first file may be associated with a usage status. The method may further include accessing, based on the search query, a second bucket from the remote storage. The second bucket may include second data associated with the search query. The method may further include identifying a second file in the second bucket having the first file type, and copying, in response to the usage status indicating that the first file was used in processing the search query, the second file from the remote storage to the cache.

Abstract: Embodiments are disclosed for performing cache aware searching. In response to a search query, a first bucket and a second bucket in remote storage for processing the search query. A determination is made that a first file in the first bucket is present in a cache when the search query is received. In response to the search query, a search is performed using the first file based on the determination that the first file is present in the cache when the search query is received, and the search is performed using a second file from the second bucket once the second file is stored in the cache.

Abstract: Scheduling operations such as asynchronous file system operations in a network storage system is accomplished by applying a bid-price online auction methodology, in which bid (willingness-to-pay) values and price (cost) values are dynamically set by storage clients and a storage server, respectively, based on utilization of computing resources. The system provides a framework for adaptively scheduling asynchronous file system operations, managing multiple key resources of the distributed file system, including network bandwidth, server I/O, server CPU, and client and server memory utilization. The system can accelerate, defer, or cancel asynchronous requests to improve application-perceived performance. Congestion pricing via online auctions can be employed to coordinate the use of system resources by clients, so clients can detect shortages and adapt their resource usage.

Abstract: Scheduling operations such as asynchronous file system operations in a network storage system is accomplished by applying a bid-price online auction methodology, in which bid (willingness-to-pay) values and price (cost) values are dynamically set by storage clients and a storage server, respectively, based on utilization of computing resources. The system provides a framework for adaptively scheduling asynchronous file system operations, managing multiple key resources of the distributed file system, including network bandwidth, server I/O, server CPU, and client and server memory utilization. The system can accelerate, defer, or cancel asynchronous requests to improve application-perceived performance. Congestion pricing via online auctions can be employed to coordinate the use of system resources by clients, so clients can detect shortages and adapt their resource usage.