Partially typed semantics optimization

1. A method implemented by a computing device, the method comprising:

receiving, at the computing device, input corresponding to a sequence of commands for execution on a computing system, each command in the sequence of commands including an identifier corresponding to an operation to be executed by the computing system and one or more parameters;

obtaining, for each command in the sequence of commands, semantic information, wherein the semantic information describes behavior of each command in view of respective parameters associated with the command;

determining, for a particular command in the sequence of commands, that respective semantic information for the particular command is incomplete, wherein, based on the respective semantic information being incomplete, behavior of the particular command is unknown;

generating an abstract semantic tree (AST) including a node for each command in the sequence of commands, wherein the AST includes the semantic information and a placeholder for the respective semantic information for the particular command;

determining a first execution time of the sequence of instructions based on a first possible modification of the AST;

determining a second execution time of the sequence of instructions using a second possible modification of the AST;

modifying, in response to determining that the first execution time is less than the second execution time, the AST using the first possible modification, wherein modifying results in a revised AST;

generating, using the revised AST, a revised sequence of commands; and

executing the revised sequence of commands.

2. The method of claim 1 , further comprising:

parsing the input into the sequence of commands.

3. The method of claim 1 , further comprising:

invoking, for each command in the sequence of commands, a corresponding command processor with a request for the semantic information; and

receiving, for each command in the sequence of commands, semantic information comprising known semantics of the command from the corresponding command processor.

4. The method of claim 1 , wherein executing the revised pipeline comprises:

invoking, in order specified by the revised sequence of commands, a command processor for each corresponding command in the revised sequence of commands with a request execute the corresponding command.

5. The method of claim 1 , further comprising:

receiving, by a pipeline interface, the input;

determining, by the pipeline interface, whether an optimizer is enabled or disabled; and

passing, by the pipeline interface and in response to the determining the optimizer is enabled, the input to the optimizer to create the revised sequence of commands.

6. The method of claim 1 , wherein manipulating the AST comprises:

performing predicate pushdown on the AST to generate the revised AST.

7. The method of claim 1 , wherein manipulating the AST comprises:

performing projection elimination on the AST to generate the revised AST.

8. The method of claim 1 , wherein generating the revised AST is performed before any command of the input is executed.

9. The method of claim 1 , wherein the input is a query evaluation pipeline.

10. The method of claim 1 , wherein the input comprises a search command, an evaluation command, and a statistics command.

11. The method of claim 1 , further comprising:

distributing a revised query in the revised sequence of commands to a plurality of indexers to obtain a plurality of events, the revised query further limiting a number of events returned from an original query in the sequence of commands based on an evaluation command in the sequence of commands;

executing an evaluation command in the revised pipeline on the plurality of events to obtain at least one result; and

executing a statistics command in the revised sequence of commands to obtain a statistic from the at least one result.

12. The method of claim 1 , further comprising:

distributing a revised query in the revised sequence of commands to a plurality of indexers to obtain a plurality of events, the revised query further limiting a number of events returned from an original query in the sequence of commands based on an evaluation command in the sequence of commands, wherein each event in the plurality of events correspond to a portion of raw machine data associated with a timestamp;

executing an evaluation command in the revised sequence of commands on the plurality of events to obtain at least one result; and

executing a statistics command in the revised sequence of commands to obtain a statistic from the at least one result.

13. The method of claim 1 , wherein execution of the revised sequence of commands is based on a late-binding schema.

14. The method of claim 1 , further comprising:

searching raw machine data using a revised query in the revised sequence of commands to obtain a plurality of events, the revised query further limiting a number of events returned from an original query in the sequence of commands based on an evaluation command in the sequence of commands.

15. A system comprising:

a computing system for executing a revised pipeline;

a computer processor for executing instructions that cause the computer processor to perform operations comprising:

receiving input corresponding to a sequence of commands for execution on the computing system, each command in the sequence of commands including an identifier corresponding to an operation to be executed by the computing system and one or more parameters;

obtaining, for each command in the sequence of commands, semantic information, wherein the semantic information describes behavior of each command in view of respective parameters associated with the command;

determining, for a particular command in the sequence of commands, that respective semantic information for the particular command is incomplete, wherein, based on the respective semantic information being incomplete, behavior of the particular command is unknown;

generating an abstract semantic tree (AST) including a node for each command in the sequence of commands, wherein the AST includes the semantic information and a placeholder for the respective semantic information for the particular command;

determining a first execution time of the sequence of instructions based on a first possible modification of the AST;

determining a second execution time of the sequence of instructions using a second possible modification of the AST;

modifying, in response to determining that the first execution time is less than the second execution time, the AST using the first possible modification, wherein modifying results in a revised AST;

generating, using the revised AST, a revised sequence of commands; and

executing the revised sequence of commands.

16. The system of claim 15 , wherein the operations further comprise:

invoking, for each command in the sequence of commands, a corresponding command processor with a request for the semantic information; and

receiving, for each command in the sequence of commands, semantic information comprising known semantics of the command from the corresponding command processor.

17. The system of claim 15 , wherein manipulating the AST comprises:

performing predicate pushdown on the AST to generate the revised AST.

18. The system of claim 15 , wherein manipulating the AST comprises:

performing projection elimination on the AST to generate the revised AST.

19. The system of claim 15 , wherein generating the revised AST is performed before any command of the sequence of commands is executed.

20. The system of claim 15 , wherein the sequence of commands is a query evaluation pipeline.

21. The system of claim 15 , wherein operations further comprise:

distributing a revised query in the revised sequence of commands to a plurality of indexers to obtain a plurality of events, the revised query further limiting a number of events returned from an original query in the sequence of commands based on an evaluation command in the sequence of commands, wherein each event in the plurality of events correspond to a portion of raw machine data associated with a timestamp;

executing an evaluation command in the revised sequence of commands on the plurality of events to obtain at least one result; and

executing a statistics command in the revised sequence of commands to obtain a statistic from the at least one result.

22. The system of claim 15 , wherein the operations further comprise:

searching raw machine data using a revised query in the revised sequence of commands to obtain a plurality of events, the revised query further limiting a number of events returned from an original query in the sequence of commands based on an evaluation command in the sequence of commands.

23. A non-transitory computer-readable storage medium storing computer-readable program code which, when executed by one or more processors, cause the one or more processors to perform operations, comprising:

receiving input corresponding to a sequence of commands for execution on a computing system, each command in the sequence of commands including an identifier corresponding to an operation to be executed by the computing system and one or more parameters;

obtaining, for each command in the sequence of commands, semantic information, wherein the semantic information describes behavior of each command in view of respective parameters associated with the command;

determining, for a particular command in the sequence of commands, that respective semantic information for the particular command is incomplete, wherein, based on the respective semantic information being incomplete, behavior of the particular command is unknown;

generating an abstract semantic tree (AST) including a node for each command in the sequence of commands, wherein the AST includes the semantic information and a placeholder for the respective semantic information for the particular command;

determining a first execution time of the sequence of instructions based on a first possible modification of the AST;

determining a second execution time of the sequence of instructions using a second possible modification of the AST;

modifying, in response to determining that the first execution time is less than the second execution time, the AST using the first possible modification, wherein modifying results in a revised AST;

generating, using the revised AST, a revised sequence of commands; and

executing the revised sequence of commands.

24. The non-transitory computer readable medium of claim 23 , wherein the operations further comprise:

invoking, for each command in the sequence of commands, a corresponding command processor with a request for the semantic information; and

receiving, for each command in the sequence of commands, semantic information comprising known semantics of the command from the corresponding command processor.

25. The non-transitory computer readable medium of claim 23 , wherein manipulating the AST comprises:

performing predicate pushdown on the AST to generate the revised AST.

26. The non-transitory computer readable medium of claim 23 , wherein manipulating the AST comprises:

performing projection elimination on the AST to generate the revised AST.

27. The non-transitory computer readable medium of claim 23 , wherein generating the revised AST is performed before any command of the sequence of commands is executed.

28. The non-transitory computer readable medium of claim 23 , wherein the sequence of commands is a query evaluation pipeline.

29. The non-transitory computer readable medium of claim 23 , wherein the operations further comprise:

distributing a revised query in the revised sequence of commands to a plurality of indexers to obtain a plurality of events, the revised query further limiting a number of events returned from an original query in the sequence of commands based on an evaluation command in the sequence of commands, wherein each event in the plurality of events correspond to a portion of raw machine data associated with a timestamp;

executing an evaluation command in the revised sequence of commands on the plurality of events to obtain at least one result; and

executing a statistics command in the revised sequence of commands to obtain a statistic from the at least one result.

30. The non-transitory computer readable medium of claim 23 , wherein the operations further comprise:

searching raw machine data using a revised query in the revised sequence of commands to obtain a plurality of events, the revised query further limiting a number of events returned from an original query in the sequence of commands based on an evaluation command in the initial pipeline.