Abstract: A computer-implemented method is disclosed that includes operations of parsing a query comprised of a sequence of operators to detect each operator of the sequence of operators, where the sequence of operators includes a machine learning (ML) operator representing a trained ML model. Additionally, a schema of the ML operator is determined through metadata. A filter or a projection is generated based on the schema of the ML operator, where the filter or projection is configured to reduce an amount of data retrieved upon application of the filter of the projection to an operator of the sequence of operators comprising the query. The schema of the ML operator indicates a schema of input data to be provided to the ML operator and a schema of output data to be provided by the ML operator following processing.

Abstract: A computer-implemented method for integration of machine learning components within a pipelined search query to generate a visualization is described. Herein, an interface is provided for receipt of pipelined code into a web-based programming application. The pipelined code features a series of operators configured to perform one or more tasks based on collective operations by the series of operators, wherein a first operator of the series of operators is to receive input data from a selected data source and each remaining operator of the series of operators to receive input based on an output from a preceding operator of the remaining operators. The task(s) performed by the pipelined code generate results including visualizations. The visualization is rendered in a manner that allows the pipelined code to be scrolled to display the pipelined code or the visualization.

Abstract: A computer-implemented method is disclosed including operations of receiving a request to store a representation of a machine learning model in a non-transitory computer-readable medium, validating the representation of the machine learning model, storing the representation of the machine learning model, receiving a query from a web-based programming application, the query including a sequence of operators, parsing the query to detect and identify each operator within the sequence of operators, converting the query to directed acyclic graph (DAG) and providing the DAG to a distributed processing engine configured to execute the DAG. The computer-implemented method includes further operations of, prior to converting the query to the DAG, altering the query to improve efficiency of execution of the DAG. Altering the query may include at least one of consolidating at least two operators, applying a filter operation to an operator, or applying a projection to the operator.

Abstract: According to one embodiment, a method that supports queries deploying operators based on multiple programming languages is described. A sequence of operators associated with a query is identified, where the sequence of operators includes at least two neighboring operators including a first operator based on a first programming language and a second operator based on a second programming language that is different from the first programming language. Thereafter, a schema associated with the first operator and a schema associated with the second operator is determined along with the compatibility between the schema of the first operator and the schema of the second operator. A query error message is generated in response to incompatibility between the first operator schema and the second operator schema. Compatibility is determined when an output generated by execution of the first operator provides machine data needed as input for execution of the second operator.

Abstract: A computer-implemented method is disclosed that includes operations of receiving a query to be executed, the query including an indication of a data source at which input data is be to obtained, wherein the query is to be executed on the input data, determining a schema of the input data, determining fields of the input data that are required for execution of the query by analyzing a sequence of operators forming the query, determining one or more alterations to the query to improve efficiency of the execution of the query based on the fields of input data required for the execution, and generating an altered query be altering the query in accordance with the one or more alterations. The method may further include converting the query to a directed acyclic graph (DAG) and providing the DAG to a distributed processing engine configured to execute the DAG.