Bhavya Jain wrote:
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the logs printed in the map function exist in the worker node, you can
access it directly, or you can browse through webui.
abby37 于2020年12月23日周三 下午1:53写道：
> I want to print some logs in transformation mapPartitions to logs the
> internal working of function.
> I have used following
I want to print some logs in transformation mapPartitions to logs the
internal working of function.
I have used following techniques without any success.
1. System.out.println()
2. System.err.println()
3. Log4j - logger.info
4. Log4j - logger.debug
My code for mapPartitions is similar to this
I'm trying to connect Spark with Lucene indices and noticed that I can't
really tell what ordering Spark can expect from my Batch / PartitionReader.
Spark ended up retrieving all rows then doing ordering if there's any
orderBy, is there anyway I can tell spark that this partition is ordered ?
Is
Hmm, looks like Spark 2.3+ does support stream-to-stream join. But the
online doc doesn't provide any examples. If anyone could provide some
concrete reference, I'd really appreciate. Thanks! -- ND
On 12/22/20 9:57 AM, Artemis User wrote:
Is there anyway to integrate/fuse multiple streaming
Is there anyway to integrate/fuse multiple streaming sources into a
single stream process? In other words, the current structured streaming
API dictates a single a streaming source and sink. We'd like to have a
stream process that interfaces with multiple stream sources, perform a
join and
Hi,
I have a question regarding Spark structured streaming:
will non-timebased window operations like the lag function be supported at some
point, or is this not on the table due to technical difficulties?
I.e. will something like this be possible in the future:
w =
