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 s
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 s
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
S
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
S
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, spa
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 l
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 org.apache.spark.unsafe.types.UTF8St
