ฉันมีไฟล์บรรทัด JSON ที่ฉันต้องการอ่านลงในเฟรมข้อมูล PySpark ไฟล์ถูกบีบอัดด้วย gzip
ชื่อไฟล์มีลักษณะดังนี้: file.jl.gz
ฉันรู้วิธีอ่านไฟล์นี้ในกรอบข้อมูลแพนด้า:
df= pd.read_json('file.jl.gz', lines=True, compression='gzip)
ฉันยังใหม่กับ pyspark และฉันต้องการเรียนรู้ pyspark ที่เทียบเท่ากับสิ่งนี้ มีวิธีอ่านไฟล์นี้ลงใน pyspark dataframes หรือไม่?
แก้ไข 2
%pyspark
df=spark.read.option('multiline','true').json("s3n:AccessKey:secretkey@bucketname/ds_dump_00000.jl.gz")
ฉันดำเนินการคำสั่งข้างต้นและได้รับข้อผิดพลาดนี้
Fail to execute line 1:
Traceback (most recent call last):
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o130.json.
: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI:
at org.apache.hadoop.fs.Path.initialize(Path.java:259)
at org.apache.hadoop.fs.Path.<init>(Path.java:217)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:560)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:559)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:355)
at org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary(DataSource.scala:559)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:242)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:230)
at org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:411)
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)
Caused by: java.net.URISyntaxException: Relative path in absolute URI:
at java.net.URI.checkPath(URI.java:1823)
at java.net.URI.<init>(URI.java:745)
at org.apache.hadoop.fs.Path.initialize(Path.java:256)
... 24 more
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tmp/zeppelin_pyspark-8814422034403105951.py", line 380, in <module>
exec(code, _zcUserQueryNameSpace)
File "<stdin>", line 1, in <module>
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 274, in json
return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 79, in deco
raise IllegalArgumentException(s.split(': ', 1)[1], stackTrace)
pyspark.sql.utils.IllegalArgumentException: 'java.net.URISyntaxException: Relative path in absolute URI:'
