Yes, it does bin-packing for small files which is a good thing so you avoid
having many small partitions especially if you’re writing this data back out
(e.g. it’s compacting as you read). The default partition size is 128MB with a
4MB “cost” for opening files. You can configure this using the
Apache Toree is a kernel for the Jupyter Notebook platform providing
interactive and remote access to Apache Spark.
The Apache Toree community is pleased to announce the release of
Apache Toree 0.3.0-incubating which provides various bug fixes and the
following enhancements.
* Fix JupyterLab
Apache Bahir provides extensions to multiple distributed analytic
platforms, extending their reach with a diversity of streaming
connectors and SQL data sources.
The Apache Bahir community is pleased to announce the release of
Apache Bahir 2.2.2 which provides the following extensions for Apache
Apache Bahir provides extensions to multiple distributed analytic
platforms, extending their reach with a diversity of streaming
connectors and SQL data sources.
The Apache Bahir community is pleased to announce the release of
Apache Bahir 2.1.3 which provides the following extensions for Apache
Does anybody know how to use inferred schemas with structured
streaming:
https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#schema-inference-and-partition-of-streaming-dataframesdatasets
I have some code like :
object StreamingApp {
def launch(config: Config,
Hello,
I'm using Spark 2.3.1.
I have a job that reads 5.000 small parquet files into s3.
When I do a mapPartitions followed by a collect, only *278* tasks are used
(I would have expected 5000). Does Spark group small files ? If yes, what
is the threshold for grouping ? Is it configurable ? Any
Hi, All,
I'm new to Spark SQL and just start to use it in our project. We are using
spark 2.
When importing data from a Hive table, I got the following error:
if (assertnotnull(input[0, org.apache.spark.sql.Row, true]).isNullAt) null
else staticinvoke(class
