Hi Reynold Xin,
I tried setting spark.sql.files.ignoreCorruptFiles = true by using commands,
val sqlContext =new org.apache.spark.sql.hive.HiveContext(sc)
sqlContext.setConf("spark.sql.files.ignoreCorruptFiles","true") /
sqlContext.sql("set spark.sql.files.ignoreCorruptFiles=true")
but still getting error while reading parquet files using
val newDataDF =
sqlContext.read.parquet("/data/tempparquetdata/corruptblock.0","/data/tempparquetdata/data1.parquet")
Error: ERROR executor.Executor: Exception in task 0.0 in stage 4.0 (TID 4)
java.io.IOException: Could not read footer: java.lang.RuntimeException:
hdfs://192.168.1.53:9000/data/tempparquetdata/corruptblock.0 is not a
Parquet file. expected magic number at tail [80, 65, 82, 49] but found [65,
82, 49, 10]
at
org.apache.parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:248)
Please let me know if I am missing anything.
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