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Process Failed - out of memory

mrcrowleymrcrowley Member Posts: 6 Contributor II
edited November 2018 in Help
Hi all,

I have some hundreds text files, some of them over 1GB which I have to process but even for some dozens of files max 50 MB large each I get after some time an error.:
This process would need more than the maximum amount of available memory. ...
I have a notebook with 8GB RAM and I can see that RM uses about 5GB.
Is there any way to get this working?
Is Radoop able to do something like this?
I cannot find it in the extensions.

Here is my XML:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.015">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.015" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="text:process_document_from_file" compatibility="5.3.002" expanded="true" height="76" name="Process Documents from Files (2)" width="90" x="45" y="30">
        <list key="text_directories">
          <parameter key="testhtml" value="E:\#APPSDATA\RapidMiner\test5"/>
        </list>
        <parameter key="file_pattern" value="*.txt"/>
        <parameter key="encoding" value="UTF-8"/>
        <parameter key="vector_creation" value="Term Occurrences"/>
        <parameter key="keep_text" value="true"/>
        <parameter key="prune_below_absolute" value="0"/>
        <parameter key="prune_above_absolute" value="10"/>
        <parameter key="datamanagement" value="float_array"/>
        <process expanded="true">
          <operator activated="true" class="web:extract_html_text_content" compatibility="5.3.001" expanded="true" height="60" name="Extract Content" width="90" x="45" y="30">
            <parameter key="minimum_text_block_length" value="3"/>
          </operator>
          <operator activated="true" class="text:tokenize" compatibility="5.3.002" expanded="true" height="60" name="Tokenize (2)" width="90" x="179" y="30"/>
          <operator activated="true" class="text:filter_by_length" compatibility="5.3.002" expanded="true" height="60" name="Filter Tokens (2)" width="90" x="313" y="30">
            <parameter key="min_chars" value="3"/>
            <parameter key="max_chars" value="30"/>
          </operator>
          <operator activated="true" class="text:filter_stopwords_english" compatibility="5.3.002" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="380" y="165"/>
          <operator activated="true" class="text:filter_stopwords_german" compatibility="5.3.002" expanded="true" height="60" name="Filter Stopwords (German)" width="90" x="514" y="165"/>
          <operator activated="true" class="text:filter_stopwords_french" compatibility="5.3.002" expanded="true" height="60" name="Filter Stopwords (French)" width="90" x="648" y="165"/>
          <operator activated="true" class="text:transform_cases" compatibility="5.3.002" expanded="true" height="60" name="Transform Cases (2)" width="90" x="648" y="30"/>
          <connect from_port="document" to_op="Extract Content" to_port="document"/>
          <connect from_op="Extract Content" from_port="document" to_op="Tokenize (2)" to_port="document"/>
          <connect from_op="Tokenize (2)" from_port="document" to_op="Filter Tokens (2)" to_port="document"/>
          <connect from_op="Filter Tokens (2)" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
          <connect from_op="Filter Stopwords (English)" from_port="document" to_op="Filter Stopwords (German)" to_port="document"/>
          <connect from_op="Filter Stopwords (German)" from_port="document" to_op="Filter Stopwords (French)" to_port="document"/>
          <connect from_op="Filter Stopwords (French)" from_port="document" to_op="Transform Cases (2)" to_port="document"/>
          <connect from_op="Transform Cases (2)" from_port="document" to_port="document 1"/>
          <portSpacing port="source_document" spacing="0"/>
          <portSpacing port="sink_document 1" spacing="0"/>
          <portSpacing port="sink_document 2" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="loop_batches" compatibility="5.3.015" expanded="true" height="60" name="Loop Batches" width="90" x="179" y="30">
        <parameter key="batch_size" value="100"/>
        <process expanded="true">
          <portSpacing port="source_exampleSet" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="transpose" compatibility="5.3.015" expanded="true" height="76" name="Transpose" width="90" x="380" y="30"/>
      <operator activated="true" class="write_excel" compatibility="5.3.015" expanded="true" height="76" name="Write Excel" width="90" x="581" y="30">
        <parameter key="excel_file" value="E:\#APPSDATA\RapidMiner\excel\20140114a"/>
        <parameter key="file_format" value="xlsx"/>
      </operator>
      <connect from_op="Process Documents from Files (2)" from_port="example set" to_op="Loop Batches" to_port="example set"/>
      <connect from_op="Loop Batches" from_port="example set" to_op="Transpose" to_port="example set input"/>
      <connect from_op="Transpose" from_port="example set output" to_op="Write Excel" to_port="input"/>
      <connect from_op="Write Excel" from_port="through" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>

Answers

  • MariusHelfMariusHelf RapidMiner Certified Expert, Member Posts: 1,869   Unicorn
    Hi,

    if you only need the TF/IDF statistics and don't need the text any more after extracting it in Process Documents, you can disable the keep_text option in that operator. That should prevent RapidMiner from keeping all the files in memory.

    Apart from that, in which operator does the OutOfMemoryException occur?

    Best regards,
    Marius
  • mrcrowleymrcrowley Member Posts: 6 Contributor II
    Hi,

    thanks for your respond.

    I don't want to do TF/IDF statistics, I need the extracted words.

    The keep_text option doesn't help.

    The OutOfMemoryException occurs certainly in the Process Documents from Files - Extract Content and maybe in the Write Excel operator.

    So, is there any way to deal with such big files in RM?

    Best regards
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