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Spark's ability to optimize the execution plan is a key factor in its performance. For example, Spark can identify and eliminate unnecessary operations, perform data partitioning to improve data locality, and optimize the order of operations. The DAG scheduler and the task scheduler work together to optimize the execution plan and minimize data shuffling, leading to faster data processing times. Spark's core architecture allows for efficient execution, with data being processed in parallel across a cluster of machines. Spark can also recover from failures by automatically recomputing lost partitions. This makes Spark a reliable choice for processing large datasets.
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It’s crucial to remember that the **JCPOA wasn’t a peace treaty**. It was all about preventing Iran from developing a nuclear weapon, but it didn't address a lot of the other issues between Iran and the West, like Iran's ballistic missile program, its support for regional proxies, or its human rights record. Those issues were left for later, or for other discussions, but they would always be in the background, shaping how people viewed the deal.