I probably did not do a good enough job explaining the problem. If
you used Maven with the
default Maven repository you have an old version of spark-avro that does
not contain AvroSaver and does not have the saveAsAvro method implemented:
Assuming you use the default Maven repo location:
cd ~/.m2/repository/com/databricks/spark-avro_2.10/0.1
jar tvf spark-avro_2.10-0.1.jar | grep AvroSaver
Comes up empty. The jar file does not contain this class because
AvroSaver.scala wasn't added until Jan 21. The jar file is from 14 November.
So:
git clone g...@github.com:databricks/spark-avro.git
cd spark-avro
sbt publish-m2
This publishes the latest master code (this includes AvroSaver etc.) to
your local Maven repo and Maven will pick up the latest version of
spark-avro (for this machine).
Now you should be able to compile and run.
HTH,
Markus
On 03/12/2015 11:55 PM, Kevin Peng wrote:
Dale,
I basically have the same maven dependency above, but my code will not
compile due to not being able to reference to AvroSaver, though the
saveAsAvro reference compiles fine, which is weird. Eventhough
saveAsAvro compiles for me, it errors out when running the spark job
due to it not being implemented (the job quits and says non
implemented method or something along those lines).
I will try going the spark shell and passing in the jar built from
github since I haven't tried that quite yet.
On Thu, Mar 12, 2015 at 6:44 PM, M. Dale <medal...@yahoo.com
<mailto:medal...@yahoo.com>> wrote:
Short answer: if you downloaded spark-avro from the
repo.maven.apache.org <http://repo.maven.apache.org>
repo you might be using an old version (pre-November 14, 2014) -
see timestamps at
http://repo.maven.apache.org/maven2/com/databricks/spark-avro_2.10/0.1/
Lots of changes at https://github.com/databricks/spark-avro since
then.
Databricks, thank you for sharing the Avro code!!!
Could you please push out the latest version or update the version
number and republish to repo.maven.apache.org
<http://repo.maven.apache.org> (I have no idea how jars get
there). Or is there a different repository that users should point
to for
this artifact?
Workaround: Download from https://github.com/databricks/spark-avro
and build
with latest functionality (still version 0.1) and add to your
local Maven
or Ivy repo.
Long version:
I used a default Maven build and declared my dependency on:
<dependency>
<groupId>com.databricks</groupId>
<artifactId>spark-avro_2.10</artifactId>
<version>0.1</version>
</dependency>
Maven downloaded the 0.1 version from
http://repo.maven.apache.org/maven2/com/databricks/spark-avro_2.10/0.1/
and included it in my app code jar.
From spark-shell:
import com.databricks.spark.avro._
import org.apache.spark.sql.SQLContext
val sqlContext = new SQLContext(sc)
# This schema includes LONG for time in millis
(https://github.com/medale/spark-mail/blob/master/mailrecord/src/main/avro/com/uebercomputing/mailrecord/MailRecord.avdl)
val recordsSchema =
sqlContext.avroFile("/opt/rpm1/enron/enron-tiny.avro")
java.lang.RuntimeException: Unsupported type LONG
However, checking out the spark-avro code from its GitHub repo and
adding
a test case against the MailRecord avro everything ran fine.
So I built the databricks spark-avro locally on my box and then
put it in my
local Maven repo - everything worked from spark-shell when adding
that jar
as dependency.
Hope this helps for the "save" case as well. On the pre-14NOV
version, avro.scala
says:
// TODO: Implement me.
implicit class AvroSchemaRDD(schemaRDD: SchemaRDD) {
def saveAsAvroFile(path: String): Unit = ???
}
Markus
On 03/12/2015 07:05 PM, kpeng1 wrote:
Hi All,
I am current trying to write out a scheme RDD to avro. I
noticed that there
is a databricks spark-avro library and I have included that in my
dependencies, but it looks like I am not able to access the
AvroSaver
object. On compilation of the job I get this:
error: not found: value AvroSaver
[ERROR] AvroSaver.save(resultRDD, args(4))
I also tried calling saveAsAvro on the resultRDD(the actual
rdd with the
results) and that passes compilation, but when I run the code
I get an error
that says the saveAsAvro is not implemented. I am using
version 0.1 of
spark-avro_2.10
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