Sentence examples for job was executed from inspiring English sources

The phrase "job was executed" is grammatically correct and can be used in written English.
It typically refers to a completed task or assignment. Here are a few examples of how it could be used: 1. "The project manager ensured that every job was executed efficiently and on schedule." 2. "Despite facing numerous obstacles, the team was able to successfully execute the job." 3. "The job was executed to perfection, leaving the clients extremely satisfied with our work."

Exact(2)

The modified job was executed on the raw Avro data.

It is clear from the resuls that Hadoop incurred a significant overhead when a job was executed on the cluster via the ResourceManager.

Similar(58)

In general, Hadoop requires that the output directory not exist when a MapReduce job is executed, however our Makefile takes care of this by removing our old output directory.

This paper analyzes a dynamic and general scenario, in which: (i) workers can leave the network at any time; (ii) each job is executed multiple times, either to obtain better statistical accuracy or to perform parameter sweep analysis; and, (iii) input data is replicated and distributed to multiple data caches on-the-fly.

Tasks of the job are executed on the workers: job status set to "run"   4.

A job is executed when the request arrives from the controller.

Overlapped partitioning can be implemented in a relaxed flavour, where only some parts of the job are executed redundantly.

The constraint in (12) states the precedence constraint where a task cannot start until its predecessors are completed, and data has been communicated to it if the preceding job were executed on different node, illustrated as a constant value T c.

Table 1 Hadoop implementation results Compute Execution Per task Total execution nodes mode execution time time 1 local ∼0.01 sec ∼5 sec 1 cluster ∼15 sec ∼25 min 3 cluster ∼15 sec ∼12 min. In local mode, the job is executed on the local machine without contacting the Hadoop ResourceManager.

What matters is how well the job is executed.

The other limitation is input data processing, which means the need to read the input data from the HDFS every time a MapReduce job is executed.

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