Abstract: Provided are a computer program product, system, and method for modifying output code in source code to output compressed output statements. A codebook indicates replacement codes associated with strings in output code in source code. The output code is to generate output statements. The strings of the output code are replaced with the replacement codes associated with the strings to produce modified source code. Multiple instances of a same string in the output code are replaced by an associated same replacement code in the codebook. The modified source code, having the replacement codes replacing the strings, is compiled to produce an executable application. The executable application during runtime produces compressed output statements comprising the replacement codes that replaced the associated strings.

Abstract: A method, computer system, and a computer program product for automatic processing of computer logging events may be provided. In one embodiment, the process comprises determining an application priority model relating to a plurality of computer applications being executed on a device. A usage pattern model is also determined by monitoring utilization of the plurality of applications based on usage of the applications by a priority of users. A log flow control policy is also determined using logging information. All determined models also use a set of metrics to derive a log flow rules. These rules are used to manage log flow control policies when processing a plurality of logs.

Abstract: Automatically provisioning resources within a database system includes receiving, at a master service of the database system, a declarative statement for performing a database operation. Based on receiving the declarative statement, a control plane is instructed that additional hardware resources are needed for performing the database operation. Based on instructing the control plane, a provisioning fabric provisions computer system hardware resources for one or more of (i) a storage pool that includes at least one storage node that comprises a first database engine, a big data engine, and big data storage; (ii) a data pool that includes at least one data node that comprises a second database engine and database storage; or (iii) a compute pool that includes a compute node that comprises a compute engine that processes queries at one or both of the storage pool or the data pool.