Databrick csv cannot find local file
In a program I have csv extracted from excel, I need to upload the csv to hdfs and save it as parquet format, doesn't matter with python version or spark version, no scala please.
Almost all discussions I came across are about databrick, however, it seems cannot find the file, here is the code and error:
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load("file:///home/rxie/csv_out/wamp.csv")
Error:
java.io.FileNotFoundException: File file:/home/rxie/csv_out/wamp.csv
does not exist
The file path:
ls -la /home/rxie/csv_out/wamp.csv
-rw-r--r-- 1 rxie linuxusers 2896878 Nov 12 14:59 /home/rxie/csv_out/wamp.csv
Thank you.
csv databricks
asked Nov 13 at 20:58
mdivk
60721124
add a comment |
In a program I have csv extracted from excel, I need to upload the csv to hdfs and save it as parquet format, doesn't matter with python version or spark version, no scala please.
Almost all discussions I came across are about databrick, however, it seems cannot find the file, here is the code and error:
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load("file:///home/rxie/csv_out/wamp.csv")
Error:
java.io.FileNotFoundException: File file:/home/rxie/csv_out/wamp.csv
does not exist
The file path:
ls -la /home/rxie/csv_out/wamp.csv
-rw-r--r-- 1 rxie linuxusers 2896878 Nov 12 14:59 /home/rxie/csv_out/wamp.csv
Thank you.
csv databricks
asked Nov 13 at 20:58
mdivk
60721124
add a comment |
In a program I have csv extracted from excel, I need to upload the csv to hdfs and save it as parquet format, doesn't matter with python version or spark version, no scala please.
Almost all discussions I came across are about databrick, however, it seems cannot find the file, here is the code and error:
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load("file:///home/rxie/csv_out/wamp.csv")
Error:
java.io.FileNotFoundException: File file:/home/rxie/csv_out/wamp.csv
does not exist
The file path:
ls -la /home/rxie/csv_out/wamp.csv
-rw-r--r-- 1 rxie linuxusers 2896878 Nov 12 14:59 /home/rxie/csv_out/wamp.csv
Thank you.
csv databricks
asked Nov 13 at 20:58
mdivk
60721124
In a program I have csv extracted from excel, I need to upload the csv to hdfs and save it as parquet format, doesn't matter with python version or spark version, no scala please.
Almost all discussions I came across are about databrick, however, it seems cannot find the file, here is the code and error:
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load("file:///home/rxie/csv_out/wamp.csv")
Error:
java.io.FileNotFoundException: File file:/home/rxie/csv_out/wamp.csv
does not exist
The file path:
ls -la /home/rxie/csv_out/wamp.csv
-rw-r--r-- 1 rxie linuxusers 2896878 Nov 12 14:59 /home/rxie/csv_out/wamp.csv
Thank you.
csv databricks
csv databricks
asked Nov 13 at 20:58
mdivk
60721124
asked Nov 13 at 20:58
mdivk
60721124
asked Nov 13 at 20:58
mdivk
60721124
asked Nov 13 at 20:58
mdivk
60721124
asked Nov 13 at 20:58
mdivk
60721124
60721124
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
I found the issue now!
The reason why it errors out of file not found is actually correct, because I was using Spark Context with setMaster("yarn-cluster"), that means all worker nodes will look for the csv file, of course all worker nodes (except the one starting the program where the csv resides) do not have this file and hence error out. What I really should do is to use setMaster("local").
FIX:
conf = SparkConf().setAppName('test').setMaster("local")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
csv = "file:///home/rxie/csv_out/wamp.csv"
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load(csv)
answered Nov 14 at 2:18
mdivk
60721124
add a comment |
Yes, you are right, the file should be present at all worker nodes.
well. you can still read a local file in yarn cluster mode. you just need to add your file using addFile.
spark.sparkContext.addFile("file:///your local file path ")
spark will copy the file to each node where executor will be created and can be able to process your file in cluster mode as well.
I am using spark 2.3 version so you can change your spark context accordingly but addFile method remains same.
try this with your yarn (cluster mode) and let me know if it works for you.
answered Dec 12 at 4:38
vikrant rana
530113
Thank you for your input, Vikrant.
– mdivk
Dec 12 at 14:12
wc. Let me know if it works for you
– vikrant rana
Dec 12 at 14:28
@mdivk.. did you checked using addFile method?is it working for you?
– vikrant rana
Dec 17 at 16:53
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
I found the issue now!
The reason why it errors out of file not found is actually correct, because I was using Spark Context with setMaster("yarn-cluster"), that means all worker nodes will look for the csv file, of course all worker nodes (except the one starting the program where the csv resides) do not have this file and hence error out. What I really should do is to use setMaster("local").
FIX:
conf = SparkConf().setAppName('test').setMaster("local")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
csv = "file:///home/rxie/csv_out/wamp.csv"
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load(csv)
answered Nov 14 at 2:18
mdivk
60721124
add a comment |
I found the issue now!
The reason why it errors out of file not found is actually correct, because I was using Spark Context with setMaster("yarn-cluster"), that means all worker nodes will look for the csv file, of course all worker nodes (except the one starting the program where the csv resides) do not have this file and hence error out. What I really should do is to use setMaster("local").
FIX:
conf = SparkConf().setAppName('test').setMaster("local")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
csv = "file:///home/rxie/csv_out/wamp.csv"
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load(csv)
answered Nov 14 at 2:18
mdivk
60721124
add a comment |
I found the issue now!
The reason why it errors out of file not found is actually correct, because I was using Spark Context with setMaster("yarn-cluster"), that means all worker nodes will look for the csv file, of course all worker nodes (except the one starting the program where the csv resides) do not have this file and hence error out. What I really should do is to use setMaster("local").
FIX:
conf = SparkConf().setAppName('test').setMaster("local")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
csv = "file:///home/rxie/csv_out/wamp.csv"
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load(csv)
answered Nov 14 at 2:18
mdivk
60721124
I found the issue now!
The reason why it errors out of file not found is actually correct, because I was using Spark Context with setMaster("yarn-cluster"), that means all worker nodes will look for the csv file, of course all worker nodes (except the one starting the program where the csv resides) do not have this file and hence error out. What I really should do is to use setMaster("local").
FIX:
conf = SparkConf().setAppName('test').setMaster("local")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
csv = "file:///home/rxie/csv_out/wamp.csv"
df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema","true").option("delimiter",",").load(csv)
answered Nov 14 at 2:18
mdivk
60721124
answered Nov 14 at 2:18
mdivk
60721124
answered Nov 14 at 2:18
mdivk
60721124
answered Nov 14 at 2:18
mdivk
60721124
60721124
add a comment |
add a comment |
Yes, you are right, the file should be present at all worker nodes.
well. you can still read a local file in yarn cluster mode. you just need to add your file using addFile.
spark.sparkContext.addFile("file:///your local file path ")
spark will copy the file to each node where executor will be created and can be able to process your file in cluster mode as well.
I am using spark 2.3 version so you can change your spark context accordingly but addFile method remains same.
try this with your yarn (cluster mode) and let me know if it works for you.
answered Dec 12 at 4:38
vikrant rana
530113
Thank you for your input, Vikrant.
– mdivk
Dec 12 at 14:12
wc. Let me know if it works for you
– vikrant rana
Dec 12 at 14:28
@mdivk.. did you checked using addFile method?is it working for you?
– vikrant rana
Dec 17 at 16:53
add a comment |
Yes, you are right, the file should be present at all worker nodes.
well. you can still read a local file in yarn cluster mode. you just need to add your file using addFile.
spark.sparkContext.addFile("file:///your local file path ")
spark will copy the file to each node where executor will be created and can be able to process your file in cluster mode as well.
I am using spark 2.3 version so you can change your spark context accordingly but addFile method remains same.
try this with your yarn (cluster mode) and let me know if it works for you.
answered Dec 12 at 4:38
vikrant rana
530113
Thank you for your input, Vikrant.
– mdivk
Dec 12 at 14:12
wc. Let me know if it works for you
– vikrant rana
Dec 12 at 14:28
@mdivk.. did you checked using addFile method?is it working for you?
– vikrant rana
Dec 17 at 16:53
add a comment |
Yes, you are right, the file should be present at all worker nodes.
well. you can still read a local file in yarn cluster mode. you just need to add your file using addFile.
spark.sparkContext.addFile("file:///your local file path ")
spark will copy the file to each node where executor will be created and can be able to process your file in cluster mode as well.
I am using spark 2.3 version so you can change your spark context accordingly but addFile method remains same.
try this with your yarn (cluster mode) and let me know if it works for you.
answered Dec 12 at 4:38
vikrant rana
530113
Yes, you are right, the file should be present at all worker nodes.
well. you can still read a local file in yarn cluster mode. you just need to add your file using addFile.
spark.sparkContext.addFile("file:///your local file path ")
spark will copy the file to each node where executor will be created and can be able to process your file in cluster mode as well.
I am using spark 2.3 version so you can change your spark context accordingly but addFile method remains same.
try this with your yarn (cluster mode) and let me know if it works for you.
answered Dec 12 at 4:38
vikrant rana
530113
answered Dec 12 at 4:38
vikrant rana
530113
answered Dec 12 at 4:38
vikrant rana
530113
answered Dec 12 at 4:38
vikrant rana
530113
530113
Thank you for your input, Vikrant.
– mdivk
Dec 12 at 14:12
wc. Let me know if it works for you
– vikrant rana
Dec 12 at 14:28
@mdivk.. did you checked using addFile method?is it working for you?
– vikrant rana
Dec 17 at 16:53
add a comment |
Thank you for your input, Vikrant.
– mdivk
Dec 12 at 14:12
wc. Let me know if it works for you
– vikrant rana
Dec 12 at 14:28
@mdivk.. did you checked using addFile method?is it working for you?
– vikrant rana
Dec 17 at 16:53
Thank you for your input, Vikrant.
– mdivk
Dec 12 at 14:12
Thank you for your input, Vikrant.
– mdivk
Dec 12 at 14:12
wc. Let me know if it works for you
– vikrant rana
Dec 12 at 14:28
wc. Let me know if it works for you
– vikrant rana
Dec 12 at 14:28
@mdivk.. did you checked using addFile method?is it working for you?
– vikrant rana
Dec 17 at 16:53
@mdivk.. did you checked using addFile method?is it working for you?
– vikrant rana
Dec 17 at 16:53
add a comment |
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