Systems, methods, and non-transitory computer readable media with instructions for methods here may be used to create and render interactive charts using large amounts of data, by efficiently dividing up the storage and processing of the data between a networked side and a local application side. In certain example embodiments, these two sides work in conjunction with one another, alternatively or additionally, in certain example embodiments, they may act independently and/or alone. The resulting charts may then be used by being embedded in external web pages.

A fleet of query accelerator nodes is established for a data store. Each accelerator node caches data items of the data store locally. In response to determining that an eviction criterion has been met, one accelerator node removes a particular data item from its local cache without notifying any other accelerator node. After the particular data item has been removed, a second accelerator node receives a read query for the particular data item and provides a response using a locally-cached replica of the data item.

Apparatus and methods for analyzing vulnerabilities with an agent executing on a computer host using a vulnerability scanner and vulnerability server are disclosed. In one example a method comprises, with a vulnerability scanner, searching for data associated with a vulnerability test (for example, the command that initiates the test) to determine whether the data associated with the vulnerability is available or not available. When the data associated with the vulnerability test is available in a vulnerability scanner database, the vulnerability scanner provides prior scan results generated using one or more commands specified by the data to a vulnerability aggregation server. When the data associated with the vulnerability test is not available in the vulnerability scanner database, the vulnerability scanner performs a scan of the host to obtain results associated with the vulnerability test.

According to some embodiments, a system to manage a query plan cache for a Database Management System (“DBMS”) includes a DBMS query plan cache data store. The DBMS query plan cache data store may contain, for example, electronic records representing a plurality of query plans each associated with a set of instructions created in response to a query previously submitted by a user. A DBMS query plan cache management platform may then calculate a utility score for each query plan in the DBMS query plan cache data store. At least one query plan may be evicted from the DBMS query plan cache data store based on the calculated utility score, wherein the evicting is not based on a size of the DBMS query plan cache.

Embodiments are directed to collision-free hashing for accessing cryptographic computing metadata and for cache expansion. An embodiment of an apparatus includes one or more processors to: receive a physical address; compute a set of hash functions using a set of different indexes corresponding to the set of hash functions, wherein the set of hash functions combine additions, bit-level reordering, bit-linear mixing, and wide substitutions, wherein the plurality of hash functions differ in the bit-linear mixing; access a plurality of cache units utilizing the set of hash functions; read different sets of the plurality of cache units in parallel, where a set of the different sets is obtained from each cache unit of the plurality of cache units; and responsive to the physical address being located one of the different sets, return cache line data of the set corresponding to the set of the cache unit having the physical address.

A partial group by operator is a group by operator that implements a fallback mechanism. The fallback mechanism is triggered whenever memory pressure reaches a certain threshold. When the fallback mechanism is triggered, a row is included in an output of the partial group by operator without including an aggregation value for a grouping value for the row to an aggregation data structure. A final group by operator computes a final aggregate value of all results, including pre-grouped results and passed through results, from the partial group by operator.

Embodiments are disclosed for a method. The method includes parsing a distributed database query into component queries corresponding to distributed nodes. The method also includes matching component queries to central cache to determine whether the component queries can be satisfied. This matching generates matched and unmatched component queries. The method further includes transforming the matched component query to a cache query and local delta query for a first node. Additionally, the method includes executing the cache query to generate a cache result. Also, the method includes providing the local delta query for the first node to generate a local delta. Further, the method includes providing the unmatched component query for a second node to generate a remote result. The method also includes generating a global delta based on the local delta. The method additionally includes generating a result by combining the cache result, local delta, and remote result.

The disclosed technology relates to a system configured to detect a modification to a node in a tree data structure. The node is associated with a content item managed by a content management service as well as a filename. The system may append the filename and a separator to a filename array, determine a location of the filename in the filename array, and store the location of the filename in the node.

A method and/or system of managing metadata are disclosed that include connecting a source data storage system (DSS) that stores both data and metadata to a metadata management platform (MMP); scanning metadata records onto the MMP from the DSS; storing metadata attributes for at least one of the group consisting of directories and buckets on the DSS in a look-up table on the MMP; and adding updated metadata attributes to the look-up table on the MMP for each subsequent scan of the DSS.

In one embodiment, a method includes receiving at a head-mounted device a speech input from a user and a visual input captured by cameras of the head-mounted device, wherein the visual input comprises subjects and attributes associated with the subjects, and wherein the speech input comprises a co-reference to one or more of the subjects, resolving entities corresponding to the subjects associated with the co-reference based on the attributes and the co-reference, and presenting a communication content responsive to the speech input and the visual input at the head-mounted device, wherein the communication content comprises information associated with executing results of tasks corresponding to the resolved entities.