I'm new to Spark and I'm trying to figure out if there is a way to save complex objects (nested) or complex jsons as Parquet in Spark. I'm aware of the Kite SDK, but I understand it uses Map/Reduce.
I looked around but I was unable to find a…
Hi,There is a topic about writing text data into multiple output directories in one spark job using MultipleTextOutputFormat
Write to multiple outputs by key Spark - one Spark job
I would ask if there is some similar way to write avro data to…
Update: spark-avro package was update to support this scenario. https://github.com/databricks/spark-avro/releases/tag/v3.1.0
I have an AVRO file that was created by a third party outside my control, which I need to process using spark.
The AVRO…
I have question i want to sequentially write many dataframe in avro format and i use the code below in a for loop.
df
.repartition()
.write
.mode()
.avro()
The problem is when i run my spark job…
Although PySpark has Avro support, it does not have the SchemaConverters method. I may be able to use Py4J to accomplish this, but I have never used a Java package within Python.
This is the code I am using
# Import SparkSession
from pyspark.sql…
I'm trying to load an avro file using PySpark running on Dataproc Job:
spark_session.read.format("avro").load("/path/to/avro")
I'm getting de flowing error:
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 166, in…
I want to write a DataFrame in Avro format using a provided Avro schema rather than Spark's auto-generated schema. How can I tell Spark to use my custom schema on write?
I've got a problem with simple spark task, which reads Avro file and then save it as Hive parquet table.
I've got 2 types of file, in general they are the same, but the key struct is a little different - field names.
Type 1
root
|-- pk: strucnt…
I'm trying to set up a structured stream from a directory of Avro files. We already have some non-streaming code to deal with exact the same data, so the least-effort step forward to streaming would be to re-use that code.
To move to…
I am looking to build a Spark Streaming application using the DataFrames API on Spark 1.6. Before I get too far down the rabbit hole, I was hoping someone could help me understand how DataFrames deals with data having a different schema.
The idea…
I'm trying to read avro files in pyspark.
Found out from How to read Avro file in PySpark that spark-avro is the best way to do that but I can't figure out how to install that from their Github repo. There's no downloadable jar, do I build it…
I tried to run my Spark/Scala code 2.3.0 on a Cloud Dataproc cluster 1.4 where there's Spark 2.4.8 installed. I faced an error concerning the reading of avro files. Here's my code…
I want to generate an avro file from a pyspark dataframe and currently I am doing coalesce as below
df = df.coalesce(1)
df.write.format('avro').save('file:///mypath')
But this is leading to memory issues now as all the data will be fetched to…
I would like to cross check my understanding about the differences in File Formats like Apache Avro and Apache Parquet in terms of Schema Evolution. Looking at various blogs and SO answers gives me the following understanding. I need to verify if my…
I have avro data which has a single column timestamp column and now i am trying to create external hive table on top of the avro files .Data gets saved in avro as long and i expect the avro logical type to handle the conversion back to timestamp…