Details
-
Bug
-
Status: Resolved
-
Minor
-
Resolution: Invalid
-
3.0.0
-
None
-
None
Description
Running vanilla spark with
--packages=org.apache.hadoop:hadoop-aws:x.y.z
I cannot read from S3, if the bucket name contains a dot (a valid name).
A minimal reproducible example looks like this
from pyspark.sql import SparkSession
import pyspark.sql.functions as f
if _name_ == '_main_':
spark = (SparkSession
.builder
.appName('my_app')
.master("local[*]")
.getOrCreate()
)
spark.read.csv("s3a://test-bucket-name-v1.0/foo.csv")
Or just launch a spark-shell with `--packages=(...)hadoop-aws(...)` and read that CSV. I created the same bucket without the period and it worked fine.
Now I'm not sure whether this is a thing of prepping the path names and passing them to the aws-sdk, or whether the fault is within the SDK itself. I am not Java savvy to investigate the issue further, but I tried to make the repro as short as possible.
I get different errors depending on which Hadoop distributions I use. If I use the default PySpark distribution (which includes Hadoop 2), I get the following (using hadoop-aws:2.7.4)
scala> spark.read.csv("s3a://okokes-test-v2.5/foo.csv").show()
java.lang.IllegalArgumentException: The bucketName parameter must be specified.
{{ at com.amazonaws.services.s3.AmazonS3Client.assertParameterNotNull(AmazonS3Client.java:2816)}}
{{ at com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1026)}}
{{ at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:994)}}
{{ at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:297)}}
{{ at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669)}}
{{ at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)}}
{{ at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703)}}
{{ at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685)}}
{{ at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)}}
{{ at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)}}
{{ at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:46)}}
{{ at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:361)}}
{{ at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:279)}}
{{ at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:268)}}
{{ at scala.Option.getOrElse(Option.scala:189)}}
{{ at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:268)}}
{{ at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:705)}}
{{ at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:535)}}
{{ ... 47 elided}}
When I downloaded 3.0.0 with Hadoop 3 and ran a spark-shell there, I got this error (with hadoop-aws:3.2.0):
java.lang.NullPointerException: null uri host.
{{ at java.base/java.util.Objects.requireNonNull(Objects.java:246)}}
{{ at org.apache.hadoop.fs.s3native.S3xLoginHelper.buildFSURI(S3xLoginHelper.java:71)}}
{{ at org.apache.hadoop.fs.s3a.S3AFileSystem.setUri(S3AFileSystem.java:470)}}
{{ at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:235)}}
{{ at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3303)}}
{{ at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:124)}}
{{ at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3352)}}
{{ at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3320)}}
{{ at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:479)}}
{{ at org.apache.hadoop.fs.Path.getFileSystem(Path.java:361)}}
{{ at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:46)}}
{{ at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:361)}}
{{ at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:279)}}
{{ at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:268)}}
{{ at scala.Option.getOrElse(Option.scala:189)}}
{{ at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:268)}}
{{ at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:705)}}
{{ at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:535)}}
{{ ... 47 elided}}
Attachments
Issue Links
- is superceded by
-
HADOOP-17241 s3a: bucket names which aren't parseable hostnames unsupported
- Resolved