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    <title>topic Re: scaling up a job based on data load in Talend Studio</title>
    <link>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249897#M34289</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Assume that My job is running for 10,000 records in dev environment. But what if I will run the same job in production with 10 Million records.&amp;nbsp; Will job invoke additional threads based on data volume?&lt;/P&gt;</description>
    <pubDate>Fri, 31 Aug 2018 10:15:54 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2018-08-31T10:15:54Z</dc:date>
    <item>
      <title>scaling up a job based on data load</title>
      <link>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249895#M34287</link>
      <description>&lt;P&gt;Hi Team,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Is there any way where I can create a job which scale up automatically based on the load on system. Our job will run on UNIX system which is installed on Google Cloud.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How scaling works in talend? Do we need to define any variable or components to make it scalable?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 30 Aug 2018 13:11:38 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249895#M34287</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2018-08-30T13:11:38Z</dc:date>
    </item>
    <item>
      <title>Re: scaling up a job based on data load</title>
      <link>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249896#M34288</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Could you please elaborate your case with an example with input and expected output values?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Best regards&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Sabrina&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 31 Aug 2018 08:45:08 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249896#M34288</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2018-08-31T08:45:08Z</dc:date>
    </item>
    <item>
      <title>Re: scaling up a job based on data load</title>
      <link>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249897#M34289</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Assume that My job is running for 10,000 records in dev environment. But what if I will run the same job in production with 10 Million records.&amp;nbsp; Will job invoke additional threads based on data volume?&lt;/P&gt;</description>
      <pubDate>Fri, 31 Aug 2018 10:15:54 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249897#M34289</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2018-08-31T10:15:54Z</dc:date>
    </item>
    <item>
      <title>Re: scaling up a job based on data load</title>
      <link>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249898#M34290</link>
      <description>&lt;P&gt;This is not a one size fits all question. Talend will not do this for, but you can build your job to make use of multiple threads when you design it. However, with multi-threaded processing you need to consider a lot of other requirements. For example (a basic scenario that might lead to problems) what if you are writing to a flat file or what if you require a strict order of output? Your job design would have to take this into account.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 31 Aug 2018 10:57:26 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/scaling-up-a-job-based-on-data-load/m-p/2249898#M34290</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2018-08-31T10:57:26Z</dc:date>
    </item>
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