Task Scheduling for Highly Concurrent Analytical and Transaction Workloads
First Claim
1. A method comprising:
- processing, by a computer system, a query in a first thread in a plurality of worker threads to generate a parsing task associated with the query;
parsing, by the computer system, the query based on the parsing task to generate an execution plan comprising a plurality of ordered operations for answering the query;
generating, by the computer system, a task graph based on the execution plan, the task graph comprising a plurality of task nodes corresponding to the plurality of ordered operations;
identifying, by the computer system, a first task node in the plurality of task nodes corresponding to a first ordered operation in the plurality of ordered operations determined to be partitionable into sub operations for execution in parallel;
generating, by the computer system, a concurrency level value that corresponds to a number of available worker threads in the plurality of worker threads; and
generating, by the computer system, a plurality of partitioned tasks for execution in parallel based on the first task node and the concurrency level value.
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Accused Products
Abstract
Systems and method for a task scheduler with dynamic adjustment of concurrency levels and task granularity are disclosed for improved execution of highly concurrent analytical and transactional systems. The task scheduler can avoid both over commitment and underutilization of computing resources by monitoring and controlling the number of active worker threads. The number of active worker threads can be adapted to avoid underutilization of computing resources by giving the OS control of additional worker threads processing blocked application tasks. The task scheduler can dynamically determine a number of parallel operations for a particular task based on the number of available threads. The number of available worker threads can be determined based on the average availability of worker threads in the recent history of the application. Based on the number of available worker threads, the partitionable operation can be partitioned into a number of sub operations and executed in parallel.
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Citations
20 Claims
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1. A method comprising:
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processing, by a computer system, a query in a first thread in a plurality of worker threads to generate a parsing task associated with the query; parsing, by the computer system, the query based on the parsing task to generate an execution plan comprising a plurality of ordered operations for answering the query; generating, by the computer system, a task graph based on the execution plan, the task graph comprising a plurality of task nodes corresponding to the plurality of ordered operations; identifying, by the computer system, a first task node in the plurality of task nodes corresponding to a first ordered operation in the plurality of ordered operations determined to be partitionable into sub operations for execution in parallel; generating, by the computer system, a concurrency level value that corresponds to a number of available worker threads in the plurality of worker threads; and generating, by the computer system, a plurality of partitioned tasks for execution in parallel based on the first task node and the concurrency level value. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer readable medium storing a program executable by at least one processing unit, the program comprising sets of instructions for:
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processing a query in a first thread in a plurality of worker threads to generate a parsing task associated with the query; parsing the query based on the parsing task to generate an execution plan comprising a plurality of ordered operations for answering the query; generating a task graph based on the execution plan, the task graph comprising a plurality of task nodes corresponding to the plurality of ordered operations; identifying a first task node in the plurality of task nodes corresponding to a first ordered operation in the plurality of ordered operations determined to be partitionable into sub operations for execution in parallel; generating a concurrency level value that corresponds to a number of available worker threads in the plurality of worker threads; and generating a plurality of partitioned tasks for execution in parallel based on the first task node and the concurrency level value. - View Dependent Claims (9, 10, 11, 12, 13)
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14. The non-transitory computer readable medium of claim 14, wherein the program further comprises sets of instructions for:
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executing, by the computer system, the second plurality of partitioned tasks in the plurality of worker threads; and tracking, by the computer system, the availability of worker threads while the second plurality of partitioned tasks are executing.
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15. A system comprising:
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a set of processing units; a non-transitory computer readable medium coupled to the set of processing units and comprising instructions, that when executed by at least one processing unit cause the at least one processing unit to be configured to; process a query in a first thread in a plurality of worker threads to generate a parsing task associated with the query; parse the query based on the parsing task to generate an execution plan comprising a plurality of ordered operations for answering the query; generate a task graph based on the execution plan, the task graph comprising a plurality of task nodes corresponding to the plurality of ordered operations; identify a first task node in the plurality of task nodes corresponding to a first ordered operation in the plurality of ordered operations determined to be partitionable into sub operations for execution in parallel; generate a concurrency level value that corresponds to a number of available worker threads in the plurality of worker threads; and generate a plurality of partitioned tasks for execution in parallel based on the first task node and the concurrency level value. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification