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View Code? Open in Web Editor NEWLoad Avro data into Spark with sparklyr
License: Apache License 2.0
Load Avro data into Spark with sparklyr
License: Apache License 2.0
I see spark_avro_vesion
and similar uses of vesion
- I think that should be version
The current implementation always uses an empty jars=
argument to sparklyr::spark_dependency
and adds the spark-packages argument. This works great for systems that can connect out to spark packages or for R users who know how to manage local maven/ivy repos. However since the jars are packaged up in the inst
directory anyway, it would simplify things for users to just use those jars that they've already downloaded when installing sparkavro
.
Right now spark_write_avro
fails when run on Spark 2.3. The version of spark-avro used needs to be upgraded to 4.0.0. I will submit a pull request with the fix.
The documentation for spark_write_avro contains a link to the Apache Parquet format. Looking at the code it does seem to write Avro, not Parquet.
Line 73 in e9fd5a2
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