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How to get all the available parameters for env.readTextFile()?


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I am trying to read multiple .gz files from HDFS using Dataset API (env.readTextFile()) but the sizes of the files vary a lot, which makes it hard to improve efficiency by increasing parallelism. So, I want to know whether there are parameters which can cope with this data skew thing. Or, do I have to make the input files have similar sizes ?



Below is the code I am using right now, which is copied from Flink DataSet API Programming Guide



// enable recursive enumeration of nested input files
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

// create a configuration object
Configuration parameters = new Configuration();

// set the recursive enumeration parameter
parameters.setBoolean("recursive.file.enumeration", true);

// pass the configuration to the data source
DataSet<String> logs = env.readTextFile("file:///path/with.nested/files")
.withParameters(parameters);









share|improve this question






























    0















    I am trying to read multiple .gz files from HDFS using Dataset API (env.readTextFile()) but the sizes of the files vary a lot, which makes it hard to improve efficiency by increasing parallelism. So, I want to know whether there are parameters which can cope with this data skew thing. Or, do I have to make the input files have similar sizes ?



    Below is the code I am using right now, which is copied from Flink DataSet API Programming Guide



    // enable recursive enumeration of nested input files
    ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

    // create a configuration object
    Configuration parameters = new Configuration();

    // set the recursive enumeration parameter
    parameters.setBoolean("recursive.file.enumeration", true);

    // pass the configuration to the data source
    DataSet<String> logs = env.readTextFile("file:///path/with.nested/files")
    .withParameters(parameters);









    share|improve this question


























      0












      0








      0








      I am trying to read multiple .gz files from HDFS using Dataset API (env.readTextFile()) but the sizes of the files vary a lot, which makes it hard to improve efficiency by increasing parallelism. So, I want to know whether there are parameters which can cope with this data skew thing. Or, do I have to make the input files have similar sizes ?



      Below is the code I am using right now, which is copied from Flink DataSet API Programming Guide



      // enable recursive enumeration of nested input files
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

      // create a configuration object
      Configuration parameters = new Configuration();

      // set the recursive enumeration parameter
      parameters.setBoolean("recursive.file.enumeration", true);

      // pass the configuration to the data source
      DataSet<String> logs = env.readTextFile("file:///path/with.nested/files")
      .withParameters(parameters);









      share|improve this question














      I am trying to read multiple .gz files from HDFS using Dataset API (env.readTextFile()) but the sizes of the files vary a lot, which makes it hard to improve efficiency by increasing parallelism. So, I want to know whether there are parameters which can cope with this data skew thing. Or, do I have to make the input files have similar sizes ?



      Below is the code I am using right now, which is copied from Flink DataSet API Programming Guide



      // enable recursive enumeration of nested input files
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

      // create a configuration object
      Configuration parameters = new Configuration();

      // set the recursive enumeration parameter
      parameters.setBoolean("recursive.file.enumeration", true);

      // pass the configuration to the data source
      DataSet<String> logs = env.readTextFile("file:///path/with.nested/files")
      .withParameters(parameters);






      java apache-flink






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 27 at 6:46









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