Web Reference: Jun 13, 2017 · I'm trying to obtain a random sample of N rows from Athena. But since the table from which I want to draw this sample is huge the naive. takes forever to run, presumably because the ORDER BY requires all data to be sent to a single node, which then shuffles and orders the data. The sample subcommand of SplitSeq.py may be used to generate a random sample from a sequence file or set of pair-end files. The example below will select a random sample of 1,000 sequences (-n 1000) which all contain the annotation SAMPLE=M1 (-f SAMPLE and -u M1): Aug 11, 2017 · As shown below random sampling can be easily achieved in Presto using TABLESAMPLE operator along with BERNOULLI method for sampling. Since all rows are equally weighted, one of the problems with random sampling is that we might not see rare events in our sample data.
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Generate a Simple Random Sample from a Random Number Table
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Statistics with Sampling Using Iceberg on Presto - Zac Blanco & Xiuwen Zheng, IBM
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What Is Presto | PrestoDB Explained | Presto Overview Video | Intellipaat
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Presto 101: An Introduction to Open Source Presto
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The Magic of Presto: Petabyte Scale SQL Queries in Seconds
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Presto DB in practice
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Identify Presto Query Patterns and Outliers | varada.io
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Speed Up Presto Reading with Paquet Column Indexes - Xinli Shang, & Chen Liang, Uber
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Random Sampling in Statistics: Expected Value and Variance of the Sample Mean

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