Hi Jake,
This is an issue across all RDBMs including Oracle etc. When you are
updating you have to commit or roll back in RDBMS itself and I am not aware
of Spark doing that.
The staging table is a safer method as it follows ETL type approach. You
create new data in the staging table in RDBMS
How about append and a view simulating the update? Then you do not need 2
processes...
On Tue, 22 Aug 2017 at 8:44 am, Mich Talebzadeh
wrote:
> Hi Jake,
>
> This is an issue across all RDBMs including Oracle etc. When you are
> updating you have to commit or roll back
Hi Cody,
I think the Assign is used if we want it to start from a specified offset.
What if we want it to start it from the latest offset with something like
returned by "auto.offset.reset" -> "latest",.
Thanks!
On Mon, Aug 21, 2017 at 9:06 AM, Cody Koeninger wrote:
>
Hello,
I'm writing a Spark based application which works around a pretty huge data
stored on s3. It's about **15 TB** in size uncompressed. Data is laid
across multiple small LZO compressed files files, varying from 10-100MB.
By default the job spawns 130k tasks while reading dataset and mapping
You could use a map operation or transform on the existing dataframe to
create the target dataframe.
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Hi,
I don’t know how this should help. We use maven shade plugin. This behavior
currently happen in local unit tests.
Pascal
> Am 21.08.2017 um 12:58 schrieb 周康 :
>
> Use maven shade plugin may help
>
> 2017-08-21 18:43 GMT+08:00 Pascal Stammer
Hi all,
i got following exception:
17/08/21 12:33:56 ERROR TransportClient: Failed to send RPC 5493448667271613330
to /10.210.85.3:52482: java.lang.AbstractMethodError
java.lang.AbstractMethodError
at io.netty.util.ReferenceCountUtil.touch(ReferenceCountUtil.java:73)
at
Use maven shade plugin may help
2017-08-21 18:43 GMT+08:00 Pascal Stammer :
> Hi all,
>
> i got following exception:
>
> 17/08/21 12:33:56 ERROR TransportClient: Failed to send RPC
> 5493448667271613330 to /10.210.85.3:52482: java.lang.AbstractMethodError
>
Hi everyone,
I’m currently using SparkR to read data from a MySQL database, perform some
calculations, and then write the results back to MySQL. Is it still true that
Spark does not support UPDATE queries via JDBC? I’ve seen many posts on the
internet that Spark’s DataFrameWriter does not
The following is based on stuff I did a while ago so I might be missing some
parts.
First you need to create a certificate. The following example creates a
self-signed one:
openssl genrsa -aes128 -out sparkssl.key 2048 -alias "standalone"
openssl rsa -in sparkssl.key -pubout -out
For spark,you can dive into examples source folder.
2017-08-21 4:49 GMT+08:00 Mohsen Pahlevanzadeh :
> Dear All,
>
>
> I need to a set of practice and LAB with sparc and hadoop, You will make
> me happy for your help.
>
> Yours,
> Mohsen
>
>
i got no luck for LAB with better perf in hadoop .
cheers
在2017年08月21 21时54分, "周康"写道:
For spark,you can dive into examples source folder.
2017-08-21 4:49 GMT+08:00 Mohsen Pahlevanzadeh :
Dear All,
I need to a set of practice and LAB
Can you please post the specific problem you met?
Thanks
Jerry
On Sat, Aug 19, 2017 at 1:49 AM, Anshuman Kumar
wrote:
> Hello,
>
> I have recently installed Sparks 2.2.0, and trying to use it for some big
> data processing. Spark is installed on a server that I
Yes, you can start from specified offsets. See ConsumerStrategy,
specifically Assign
http://spark.apache.org/docs/latest/streaming-kafka-0-10-integration.html#your-own-data-store
On Tue, Aug 15, 2017 at 1:18 PM, SRK wrote:
> Hi,
>
> How to force Spark Kafka Direct to
Hello Spark Experts,
I have a design question w.r.t Spark Streaming. I have a streaming job that
consumes protocol buffer encoded real time logs from a Kafka cluster on
premise. My spark application runs on EMR (aws) and persists data onto s3.
Before I persist, I need to strip header and convert
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