For multiple queries written for a first database, some embodiments provide a method of processing the queries on a second database. From a client, the method receives individually each of the multiple queries written for the first database. The method performs an automated process to analyze properties of the second database to determine that the multiple queries can be replaced by a single query to the second database. Based on the determination, the method combines the multiple queries to generate a single query for the second database. The method forwards the generated single query to the second database for execution.

Techniques to process a query and perform a join of tables that are distributed across nodes of a network. The join can be performed by analyzing a Where clause. An active flag structure can have flag values that identify table entries satisfying criteria of the Where clause. Keys of surviving entries of a first table can be used to generate a request for a second table to be joined. The request can be for second flags for the second table when the Where clause has criteria for the second table. A response can be used to update the first flags to change a first flag to False. After updating, data can be retrieved for first flags that are True. Requests can use identifiers associated with the first table that identify a location for sending the request, e.g., using RDMA or MPI.

For a query written for a first database, some embodiments provide a method of processing the query on a second database. From a client, the method receives the query written for the first database. The method performs an automated process to analyze properties of the second database to determine that the received query should be replaced by multiple queries to the second database. Based on the determination, the method generates multiple queries for the second database. The method individually forwards each generated query to the second database for execution.

Some embodiments provide an automated method for processing a query. The method receives a query from a client, where the query references an object in a source database, the object having two sets of properties. The method generates a full set of properties by retrieving one set of properties from the target database and retrieving the other set of properties from a metadata storage. Based on the full, combined set of properties, the method generates a new query for execution on the target database.

Embodiments autonomously test a logical model for inconsistencies. For example, metadata descriptive of a logical model can be received, where the logical model includes an abstraction for a database schema, the database schema is implemented at a database, and the database schema includes a fact table and a dimension table. Logical queries can be automatically generated including at least first and second logical queries based on the retrieved metadata, where the first and second logical queries target a logical object of the logical model. At least the first and second logical queries can be issued to a server that hosts the logical model, where, at the server, the first and second logical queries are translated to first and second database queries, and the first and second database queries target at least a fact table and a dimension table from the database schema. Query results received from execution of the first and second database queries can be compared. Inconsistencies can be identified when the comparison of the query results does not meet a criterion.

For an updateable view that is defined for a first database, some embodiments provide an automated method for processing an update to data tuples in a second database, the update specified by reference to the updateable view. The method receives a first query from a client for modifying a particular data tuple presented in the updateable view. From a metadata storage, the method retrieves a definition of the updateable view, where the definition includes a reference to a first set of one or more objects associated with the particular data tuple in the first database. Based on the retrieved definition, the method generates a second query referencing a second set of one or more objects associated with the particular data tuple in the second database. The method executes the generated second query on the second database, to modify the particular data tuple in the second database.

Methods, apparatuses and computer program products for improving data retrieval in a group-based communication system are described herein. The apparatus is configured to at least receive a first search query comprising a first search string, identify a first index object of a plurality of index objects based at least in part on the first search string, retrieve a first message object based at least in part on the first index object, and cause rendering of the first message object within a group-based communication user interface on a client device based at least in part on at least one element content attribute and at least one element style attribute of the first message object.

Methods, systems, and devices for data processing are described. Some database systems may support differential privacy for encrypted data. For example, a database may store user data as ciphertext. A system may receive a statistical query for the user data and may identify a relevant differential privacy mechanism. The system may transform the query to operate on encrypted data while including a noisification function based on the mechanism. The system may execute the transformed query at the database, involving adding noise to the query result according to the noisification function without decrypting the data. For example, the system may leverage homomorphic encryption techniques to inject the noise while the data remains encrypted. The database may return the noisified, encrypted query results, which the system may decrypt for statistical analysis. By applying differential privacy on the encrypted data, the system may avoid exposing any private user information throughout the process.

An automatic service monitor in an information-technology environment performs regular search queries against generated machine data to derive performance measurements. The information technology environment is defined in terms of services provided by entities, and the performance measurements are defined as key performance indicators (KPIs) of the services. Generated machine data used by the search queries pertain to the entities performing the service. Definitional information for the services, entities, and KPIs is administered by a user to control the operation of the service monitor. Various aspects of such definitional information as well as related performance measurement information may be presented in a unified console display tailored to, and organized around, a particular entity. The console display may serve as a central launch point by supporting user interaction to navigate to other specialized monitoring interfaces.

Methods, apparatuses and computer program products for improving data retrieval in a group-based communication system are described herein. The apparatus is configured to at least receive a first search query comprising a first search string, identify a first index object of a plurality of index objects based at least in part on the first search string, retrieve a first message object based at least in part on the first index object, and cause rendering of the first message object within a group-based communication user interface on a client device based at least in part on at least one element content attribute and at least one element style attribute of the first message object.