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https://issues.apache.org/jira/browse/SPARK-18414?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15657599#comment-15657599
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Sean Owen commented on SPARK-18414:
-----------------------------------
textFile uses TextFileInputFormat on purpose. if you want to use an alternative
inputformat, yes, you are doing it correctly. This already works then right?
> sc.textFile doesn't seem to use LzoTextInputFormat when hadoop-lzo is
> installed
> -------------------------------------------------------------------------------
>
> Key: SPARK-18414
> URL: https://issues.apache.org/jira/browse/SPARK-18414
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 2.0.1
> Reporter: Renan Vicente Gomes da Silva
> Priority: Minor
> Labels: hadoop-lzo
>
> When reading LZO files using sc.textFile it miss a few files from time to
> time.
> Sample:
> val Data = sc.textFile(Files)
> listFiles += Data.count()
> Considering that Files is a HDFS directory containing LZO files. If executed
> for example a 1000 times it gets different results a few times.
> Now if you use newAPIHadoopFile to force it to use
> com.hadoop.mapreduce.LzoTextInputFormat it works perfectly, shows the same
> results in all executions.
> Sample:
> val Data = sc.newAPIHadoopFile(Files,
> classOf[com.hadoop.mapreduce.LzoTextInputFormat],
> classOf[org.apache.hadoop.io.LongWritable],
> classOf[org.apache.hadoop.io.Text]).map(_._2.toString)
> listFiles += Data.count()
> Looking at Spark code it looks like it use TextInputFormat by default but is
> not using com.hadoop.mapreduce.LzoTextInputFormat when hadoop-lzo is
> installed.
> https://github.com/apache/spark/blob/v2.0.1/core/src/main/scala/org/apache/spark/SparkContext.scala#L795-L801
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