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2. The NYT cherry-picked and misrepresented views of independent legal experts who contradicted their claims.
There are many "Filtering" option available for us. For example – we can filter mail by date, by size by the sender, etc.
And just the other day I used AppleScript to verify a slow memory leak in one of my apps, which required thousands of mouse moves. With AppleScript, it took me 15 minutes to write the code and then have it perform its task for about 1 hour to cause the issue that otherwise took users days or even weeks to run into. A few hours later, and I managed to identify and fix one of the most obscure bugs I had for a long time in my app. MapReduce workloads handle large amounts of data - typically, a few gigabytes to terabytes - while the entire cluster may store data into the multiple petabytes. Even with a large number of nodes in a cluster and good data distribution among the nodes, each node must be able to read and write very large amounts of data to and from HDFS on the local disk. With typical disk data (SATA) transfer rates of about 80 MBps, the time required to read the HDFS blocks needed by the MapReduce algorithm can be significant and can contribute to the total job time.
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