Read local files into spark dataframe in zeppelin running on a docker container
I'm trying to write Spark code in Zeppelin using apache zeppelin docker image on my laptop. Everything works as expected except reading files from local disk, e.g. when I try to read a csv file into a Spark dataframe
val df = spark.read.csv("/User/myname/documents/data/xyz.csv")
I get the following error:
org.apache.spark.sql.AnalysisException: Path does not exist: file:/User/myname/documents/data/xyz.csv;
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:382)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:370)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:344)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:415)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:352)
... 47 elided
docker apache-spark apache-zeppelin
asked Nov 16 '18 at 0:21
HaMiHaMi
426
add a comment |
I'm trying to write Spark code in Zeppelin using apache zeppelin docker image on my laptop. Everything works as expected except reading files from local disk, e.g. when I try to read a csv file into a Spark dataframe
val df = spark.read.csv("/User/myname/documents/data/xyz.csv")
I get the following error:
org.apache.spark.sql.AnalysisException: Path does not exist: file:/User/myname/documents/data/xyz.csv;
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:382)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:370)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:344)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:415)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:352)
... 47 elided
docker apache-spark apache-zeppelin
asked Nov 16 '18 at 0:21
HaMiHaMi
426
add a comment |
I'm trying to write Spark code in Zeppelin using apache zeppelin docker image on my laptop. Everything works as expected except reading files from local disk, e.g. when I try to read a csv file into a Spark dataframe
val df = spark.read.csv("/User/myname/documents/data/xyz.csv")
I get the following error:
org.apache.spark.sql.AnalysisException: Path does not exist: file:/User/myname/documents/data/xyz.csv;
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:382)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:370)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:344)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:415)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:352)
... 47 elided
docker apache-spark apache-zeppelin
asked Nov 16 '18 at 0:21
HaMiHaMi
426
I'm trying to write Spark code in Zeppelin using apache zeppelin docker image on my laptop. Everything works as expected except reading files from local disk, e.g. when I try to read a csv file into a Spark dataframe
val df = spark.read.csv("/User/myname/documents/data/xyz.csv")
I get the following error:
org.apache.spark.sql.AnalysisException: Path does not exist: file:/User/myname/documents/data/xyz.csv;
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:382)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:370)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:344)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:415)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:352)
... 47 elided
docker apache-spark apache-zeppelin
docker apache-spark apache-zeppelin
asked Nov 16 '18 at 0:21
HaMiHaMi
426
asked Nov 16 '18 at 0:21
HaMiHaMi
426
edited Nov 16 '18 at 17:57
HaMi
asked Nov 16 '18 at 0:21
HaMiHaMi
426
asked Nov 16 '18 at 0:21
HaMiHaMi
426
asked Nov 16 '18 at 0:21
HaMiHaMi
426
426
add a comment |
add a comment |
1 Answer
1
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oldest
votes
I think I found the answer:
I pulled the docker image (I used the one below but you can change it)
docker pull skymindops/zeppelin-dl4j
And then ran:
docker run -it --rm -p 7077:7077 -p 8080:8080 --privileged=true -v $PWD/logs:/logs -v $PWD/notebook:/notebook -v $PWD/data:/data
-e ZEPPELIN_NOTEBOOK_DIR='/notebook'
-e ZEPPELIN_LOG_DIR='/logs'
skymindops/zeppelin-dl4j:latest
Now reading files from data folder will work:
val df = spark.read.option("header", "true").csv("/data/xyz.csv")
Note that I didn't need the notebooks already in that image.
answered Nov 16 '18 at 18:37
HaMiHaMi
426
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I think I found the answer:
I pulled the docker image (I used the one below but you can change it)
docker pull skymindops/zeppelin-dl4j
And then ran:
docker run -it --rm -p 7077:7077 -p 8080:8080 --privileged=true -v $PWD/logs:/logs -v $PWD/notebook:/notebook -v $PWD/data:/data
-e ZEPPELIN_NOTEBOOK_DIR='/notebook'
-e ZEPPELIN_LOG_DIR='/logs'
skymindops/zeppelin-dl4j:latest
Now reading files from data folder will work:
val df = spark.read.option("header", "true").csv("/data/xyz.csv")
Note that I didn't need the notebooks already in that image.
answered Nov 16 '18 at 18:37
HaMiHaMi
426
add a comment |
I think I found the answer:
I pulled the docker image (I used the one below but you can change it)
docker pull skymindops/zeppelin-dl4j
And then ran:
docker run -it --rm -p 7077:7077 -p 8080:8080 --privileged=true -v $PWD/logs:/logs -v $PWD/notebook:/notebook -v $PWD/data:/data
-e ZEPPELIN_NOTEBOOK_DIR='/notebook'
-e ZEPPELIN_LOG_DIR='/logs'
skymindops/zeppelin-dl4j:latest
Now reading files from data folder will work:
val df = spark.read.option("header", "true").csv("/data/xyz.csv")
Note that I didn't need the notebooks already in that image.
answered Nov 16 '18 at 18:37
HaMiHaMi
426
add a comment |
I think I found the answer:
I pulled the docker image (I used the one below but you can change it)
docker pull skymindops/zeppelin-dl4j
And then ran:
docker run -it --rm -p 7077:7077 -p 8080:8080 --privileged=true -v $PWD/logs:/logs -v $PWD/notebook:/notebook -v $PWD/data:/data
-e ZEPPELIN_NOTEBOOK_DIR='/notebook'
-e ZEPPELIN_LOG_DIR='/logs'
skymindops/zeppelin-dl4j:latest
Now reading files from data folder will work:
val df = spark.read.option("header", "true").csv("/data/xyz.csv")
Note that I didn't need the notebooks already in that image.
answered Nov 16 '18 at 18:37
HaMiHaMi
426
I think I found the answer:
I pulled the docker image (I used the one below but you can change it)
docker pull skymindops/zeppelin-dl4j
And then ran:
docker run -it --rm -p 7077:7077 -p 8080:8080 --privileged=true -v $PWD/logs:/logs -v $PWD/notebook:/notebook -v $PWD/data:/data
-e ZEPPELIN_NOTEBOOK_DIR='/notebook'
-e ZEPPELIN_LOG_DIR='/logs'
skymindops/zeppelin-dl4j:latest
Now reading files from data folder will work:
val df = spark.read.option("header", "true").csv("/data/xyz.csv")
Note that I didn't need the notebooks already in that image.
answered Nov 16 '18 at 18:37
HaMiHaMi
426
answered Nov 16 '18 at 18:37
HaMiHaMi
426
answered Nov 16 '18 at 18:37
HaMiHaMi
426
answered Nov 16 '18 at 18:37
HaMiHaMi
426
426
add a comment |
add a comment |
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