Details
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Sub-task
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Status: Resolved
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Minor
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Resolution: Won't Fix
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3.0.3
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None
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None
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Non AWS store
Description
I am experiencing very old issue appearing now again on Cloudera cluster 6.2. I use following libraries with pyspark job:
- /opt/cloudera/parcels/CDH-6.2.0-1.cdh6.2.0.p0.967373/lib/hadoop/hadoop-common-3.0.0-cdh6.2.0.jar
- /opt/cloudera/parcels/CDH-6.2.0-1.cdh6.2.0.p0.967373/lib/hadoop/hadoop-aws-3.0.0-cdh6.2.0.jar
While trying to write DF to S3 as CSV I get following error:
java.lang.NullPointerException: null uri host. This can be caused by unencoded / in the password string at java.util.Objects.requireNonNull(Objects.java:228) at org.apache.hadoop.fs.s3native.S3xLoginHelper.buildFSURI(S3xLoginHelper.java:69) at org.apache.hadoop.fs.s3a.S3AFileSystem.setUri(S3AFileSystem.java:467) at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:234) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3288) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:123) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3337) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3305) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:476) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:361) at org.apache.spark.sql.execution.datasources.DataSource.planForWritingFileFormat(DataSource.scala:423) at org.apache.spark.sql.execution.datasources.DataSource.planForWriting(DataSource.scala:523) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:281) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:270) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:228) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:748) // code placeholder
I specify secret key via configuration, not via path (as older bugs reported) and on top of that my Secret key doesn't have any slash, but access key has dash '-' character and
AWS_HOST_BASE I define with 'http://host.domain.suffix/' form
My code doesn't use secret key in s3 path, but as follows:
sparkSession = SparkSession.builder.getOrCreate() sparkContext = sparkSession.sparkContext #sparkContext._jsc.hadoopConfiguration().set("fs.s3a.multipart.size", "1000000") sparkContext._jsc.hadoopConfiguration().set("fs.s3a.access.key", AWS_ACCESS_KEY_ID) sparkContext._jsc.hadoopConfiguration().set("fs.s3a.secret.key", AWS_SECRET_ACCESS_KEY) sparkContext._jsc.hadoopConfiguration().set("fs.s3a.endpoint", AWS_HOST_BASE) sparkContext._jsc.hadoopConfiguration().set("fs.s3.access.key", AWS_ACCESS_KEY_ID) sparkContext._jsc.hadoopConfiguration().set("fs.s3.secret.key", AWS_SECRET_ACCESS_KEY) sparkContext._jsc.hadoopConfiguration().set("fs.s3.endpoint", AWS_HOST_BASE) sparkContext._jsc.hadoopConfiguration().set("fs.s3n.access.key", AWS_ACCESS_KEY_ID) sparkContext._jsc.hadoopConfiguration().set("fs.s3n.secret.key", AWS_SECRET_ACCESS_KEY) sparkContext._jsc.hadoopConfiguration().set("fs.s3n.endpoint", AWS_HOST_BASE) sqlContext = SQLContext(sparkSession.sparkContext) # log4j = sparkContext._jvm.org.apache.log4j # pylint: disable=W0212 logger = sparkContext._jvm.org.apache.log4j.LogManager.getLogger("OracleToS3") # logger = log4j.LogManager.getlogger(__name__) sparkContext.setLogLevel('INFO') logger.info("Going to process Oracle tables...") for table in Source.table_list: logger.info("Reading oracle table into dataframe") oracle_table = sparkContext.read \ .format("jdbc") \ .option("url", Source.jdbc_string) \ .option("dbtable", table) \ .option("user", Source.user) \ .option("password", Source.password) \ .option("driver", "oracle.jdbc.driver.OracleDriver") \ .load() # Display schema logger.info("Display table schema") oracle_table.show() logger.info("Display table top 5") oracle_table.head(5) output_file = "s3a://201906/" + "11/" + table + "_" + time.strftime("%Y%m%d_%H%M%S") +".csv" logger.info("Writing table into S3 to file: " + output_file) oracle_table\ .repartition(1)\ .write \ .mode("overwrite")\ .format("csv")\ .option("header","true") \ .save("s3a://201906/" + "11/" + table + "_" + time.strftime("%Y%m%d_%H%M%S") +".csv")
Attachments
Issue Links
- is duplicated by
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HADOOP-17241 s3a: bucket names which aren't parseable hostnames unsupported
- Resolved