Yes, trigger (once=True) set to all streaming sources and it will treat as
a batch mode. Then you can use any scheduler (e.g airflow) to run it
whatever time window. With checkpointing, in the next run it will start
processing files from the last checkpoint.
On Fri, Apr 23, 2021 at 8:13 AM Mich Ta
You should include commons-pool2-2.9.0.jar and remove
spark-streaming-kafka-0-10_2.12-3.0.1.jar (unnecessary jar).
On Mon, Feb 22, 2021 at 12:42 PM Mich Talebzadeh
wrote:
> Hi,
>
> Trying to make PySpark with PyCharm work with Structured Streaming
>
> spark-3.0.1-bin-hadoop3.2
> kafka_2.12-1.1.0
You need to make sure the delta-core_2.11-0.6.1. jar file in your
$SPARK_HOME/jars folder.
On Thu, Jan 14, 2021 at 4:59 AM András Kolbert
wrote:
> sorry missed out a bit. Added, highlighted with yellow.
>
> On Thu, 14 Jan 2021 at 13:54, András Kolbert
> wrote:
>
>> Thank
You could try Delta Lake or Apache Hudi for this use case.
On Sat, Jan 9, 2021 at 12:32 PM András Kolbert
wrote:
> Sorry if my terminology is misleading.
>
> What I meant under driver only is to use a local pandas dataframe (collect
> the data to the master), and keep updating that instead of de
To achieve exactly-once with foreachBatch in SS, you must have a checkpoint
enabled. In case of any exceptions or failures the spark SS job will get
restarted and the same batchID reprocessed again (for any data sources). To
avoid duplicates, you should have an external system to store and dedupe
t
File streaming in SS, you can try setting "maxFilesPerTrigger" per batch.
The forEachBatch is an action, the output is written to various sinks. Are
you doing any post transformation in forEachBatch?
On Thu, Oct 15, 2020 at 1:24 PM Mich Talebzadeh
wrote:
> Hi,
>
> This in general depends on how
Thanks Jungtaek for your help.
On Fri, Jul 31, 2020 at 6:31 PM Jungtaek Lim
wrote:
> Python doesn't allow abbreviating () with no param, whereas Scala does.
> Use `write()`, not `write`.
>
> On Wed, Jul 29, 2020 at 9:09 AM muru wrote:
>
>> In a pyspark SS job, trying
-cacf998e2cbd, runId =
e3d4dc7d-80e1-4164-8310-805d7713fc96] terminated with error
py4j.Py4JException: An exception was raised by the Python Proxy. Return
Message: Traceback (most recent call last):
File
"/Users/muru/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py",
line 2381, i
