[英]How to read compressed avro files (.gz) in spark?
我正在尝试使用 spark 读取 gzip(.gz 扩展名)avro 文件,但出现以下错误。 我从文档中看到 spark 应该能够在没有任何额外转换的情况下读取.gz 文件(可能适用于 csv/文本文件)。
我尝试在命令下面运行,但它给出了错误:
df= spark.read.format("com.databricks.spark.avro").load("/user/data/test1.avro.gz")
错误:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/hdp/2.6.1.0-129/spark2/python/pyspark/sql/readwriter.py", line 149, in load
return self._df(self._jreader.load(path))
File "/usr/hdp/2.6.1.0-129/spark2/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File "/usr/hdp/2.6.1.0-129/spark2/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/usr/hdp/2.6.1.0-129/spark2/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o72.load.
: java.io.IOException: Not an Avro data file
at org.apache.avro.file.DataFileReader.openReader(DataFileReader.java:63)
at com.databricks.spark.avro.DefaultSource$$anonfun$5.apply(DefaultSource.scala:80)
at com.databricks.spark.avro.DefaultSource$$anonfun$5.apply(DefaultSource.scala:77)
at scala.Option.getOrElse(Option.scala:121)
at com.databricks.spark.avro.DefaultSource.inferSchema(DefaultSource.scala:77)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:184)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:184)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$getOrInferFileFormatSchema(DataSource.scala:183)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:387)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:135)
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:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
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