I read a parquet file from HDFS system:
path<-"hdfs://part_2015"
AppDF <- parquetFile(sqlContext, path)
printSchema(AppDF)
root
|-- app: binary (nullable = true)
|-- category: binary (nullable = true)
|-- date: binary (nullable = true)
|-- user: binary (nullable = true)
class(AppDF)
[1] "DataFrame"
attr(,"package")
[1] "SparkR"
collect(AppDF)
.....error:
arguments imply differing number of rows: 46021, 39175, 62744, 27137
head(AppDF)
.....error:
arguments imply differing number of rows: 36, 30, 48
I've read some thread about this problem. But it's not my case. In fact, I just read a table from the parquet file, and head() or collect() it. My parquet table is like the following:
app category date user
aaa test 20150101 123
aaa test 20150102 345
aaa test 20150103 678
aaaa testA 20150104 123
aaaa testA 20150105 234
aaaa testA 20150106 4345
bbbb testB 20150101 5435
I'm using spark-1.4.0-bin-hadoop2.6 And I run this on cluster by using
./sparkR --master yarn--client
I've also tried it in local, there is the same problem.
showDF(AppDF)
+-----------+-----------+-----------+-----------+
| app| category| date| user|
+-----------+-----------+-----------+-----------+
|[B@217fa749|[B@43bfbacd|[B@60810b7a|[B@3818a815|
|[B@5ac31778|[B@3e39f5d5|[B@4f3a92dd| [B@e8013ce|
|[B@7a9440d1|[B@1b2b9836|[B@4b160f29|[B@153d7342|
|[B@7559fcf2|[B@66edb00e|[B@7ec19bec|[B@58e3e3f7|
|[B@598b9ab8|[B@5c5ad3f5|[B@4f11a931|[B@107af885|
|[B@7951ec36|[B@716b0b73|[B@2abce531|[B@576b09e2|
|[B@34560144|[B@7a6d3233|[B@16faf110|[B@34e85d39|
| [B@3406452|[B@787a4528|[B@235282e3|[B@7e0f1732|
|[B@10bc1446|[B@2bd7083f|[B@325e7695|[B@57bb4a08|
|[B@48f98037|[B@7450c04e|[B@61817c8a|[B@7c177a08|
|[B@694ce2dd|[B@36c2512d| [B@f5f7d71|[B@46248d99|
|[B@479dee25|[B@517de3de|[B@1ffb2d9e|[B@236ff079|
|[B@52ac196f|[B@20b9f0d0| [B@f70f879|[B@41c8d7da|
|[B@68d34af3| [B@7ddcd49|[B@72d077a7|[B@545fafd4|
|[B@5610b292|[B@623bbb62|[B@3f8b5150|[B@53877bc7|
|[B@63cf70a8|[B@47ed58c9|[B@2f601903|[B@4e0a2c41|
|[B@7ddf876d|[B@5e3445aa|[B@39c9cc37|[B@6f7e4c84|
|[B@4cd1a74b|[B@583e5453|[B@64124267|[B@6ac5ab84|
|[B@577f9ddf|[B@7b55c859|[B@3cd48a51|[B@25c4eb0a|
|[B@2322f0e5|[B@4af55c68|[B@3285d64a|[B@70b7ae2f|
+-----------+-----------+-----------+-----------+
I've alse tried to read this parquet file in Scala.And do a collect() operation. It seems that everything works well. So it should be an issue specific for SparkR
