My processor is successfully writing to my destination, but the write stats
are not updated.
[image: image.png]
I think the relevant code in my transform method is:
failed_batches = self.write_to_vastdb(context, session, pa_table)
if len(failed_batches) == 0:
return FlowFileTransformResult(rela
ttps://github.com/apache/nifi/blob/main/nifi-docs/src/main/asciidoc/python-developer-guide.adoc#recordtransform
>
>
> On Aug 24, 2024, at 11:13 AM, chris snow wrote:
>
> It seems I would need access to the ProcessSession but from what I can
> understand from Java processors tha
It seems I would need access to the ProcessSession but from what I can
understand from Java processors that is passed in via the on_trigger method
which doesn't appear to have been implemented for Python processors?
On Sat, 24 Aug 2024 at 08:22, chris snow wrote:
> I have a python c
I have a python component that users a controller service. I can't figure
out from the java api docs [1] and python api source code [2] how to
retrieve the record reader.
Any suggestions?
from nifiapi.properties import PropertyDescriptor, PythonPropertyValue
from nifiapi.flowfiletransform import
I found some examples here:
https://github.com/apache/nifi-python-extensions/blob/main/src/extensions/chunking/ParseDocument.py
On Thu, 22 Aug 2024 at 08:22, chris snow wrote:
> I have the following minimal example where I'm trying to create a
> dependent PropertyDescriptor
>
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https://issues.apache.org/jira/browse/NIFI-13673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
chris snow updated NIFI-13673:
--
Summary: Create a NiFi Python Processor Example that has PropertyDefinition
dependent on another
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chris snow updated NIFI-13673:
--
Description:
I'm trying to create a PropertyDefinition that is dependent on an
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https://issues.apache.org/jira/browse/NIFI-13672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
chris snow updated NIFI-13672:
--
Description:
I'm trying to create a Reader Service PropertyDefinition, but it isn't clear
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https://issues.apache.org/jira/browse/NIFI-13673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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chris snow updated NIFI-13673:
--
Description:
I'm trying to create a PropertyDefinition that is dependent on an
[
https://issues.apache.org/jira/browse/NIFI-13672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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chris snow updated NIFI-13672:
--
Description:
I'm trying to create a Reader Service PropertyDefinition, but it isn't clear
chris snow created NIFI-13673:
-
Summary: CLONE - Create a NiFi Python Processor Example that has
PropertyDefinition dependent on another PropertyDefinition
Key: NIFI-13673
URL: https://issues.apache.org/jira/browse
chris snow created NIFI-13672:
-
Summary: Create a NiFi Python Processor Example that has a Reader
Service PropertyDefinition
Key: NIFI-13672
URL: https://issues.apache.org/jira/browse/NIFI-13672
Project
I have the following minimal example where I'm trying to create a dependent
PropertyDescriptor
#
from nifiapi.properties import PropertyDescriptor, StandardValidators
from nifiapi.flowfiletransform import FlowFileTransform,
FlowFileTransformResult
class MinimalPythonExample(FlowFileTransform)
I've created an opensource course on Linear Algebra.
You can find more information here:
https://nbviewer.org/github/snowch/learn_linear_algebra/blob/main/notebooks/00-start-here.ipynb
Hope this is useful.
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chris snow edited comment on SPARK-24668 at 1/28/22, 12:0
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chris snow commented on SPARK-24668:
I tried `getOrElse(None)` ...
{code:java}
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chris snow commented on TOREE-234:
--
I recently used Toree with pyspark and foun
chris snow created PHOENIX-4959:
---
Summary: Please document the different driver types (fat and thin)
Key: PHOENIX-4959
URL: https://issues.apache.org/jira/browse/PHOENIX-4959
Project: Phoenix
I'm investigating the executemany() api call to insert batches of records
consumed from Kafka.
Does this API call operate on the batch as a whole, or does it call
execute() for each insert? The source code seems like it does the latter,
but I'm not 100% sure.
If executemany() operates on the bat
Does the Spark Plugin (https://phoenix.apache.org/phoenix_spark.html)
support Phoenix as a Spark Structured Streaming sink? If yes, can anyone
share an example of how to do this?
When is it expected that the compatibility matrix will list delivery guarantees?
Is there a jira I can subscribe to for monitoring this?
Many thanks!
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chris snow commented on FLINK-8497:
---
Sorry for the late response. Yes, please
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https://issues.apache.org/jira/browse/FLINK-8939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16413404#comment-16413404
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chris snow commented on FLINK-8939:
---
Ah, that makes sense if this is relate
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chris snow commented on FLINK-8939:
---
I can’t recall seeing that issue @yanxia
chris snow created FLINK-8939:
-
Summary: Provide better support for saving streaming data to s3
Key: FLINK-8939
URL: https://issues.apache.org/jira/browse/FLINK-8939
Project: Flink
Issue Type
chris snow created FLINK-8939:
-
Summary: Provide better support for saving streaming data to s3
Key: FLINK-8939
URL: https://issues.apache.org/jira/browse/FLINK-8939
Project: Flink
Issue Type
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]
chris snow edited comment on FLINK-3588 at 3/3/18 4:3
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chris snow commented on FLINK-3588:
---
This appears to have been implemented?
{code:
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chris snow commented on FLINK-8543:
---
Thanks for fixing this [~aljoscha]!
{quote
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chris snow commented on FLINK-8543:
---
[~aljoscha] - what are your thoughts on
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chris snow commented on FLINK-8543:
---
So all files being accompanied by .valid-lengt
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chris snow commented on FLINK-8543:
---
Does Flink running on EMR using S3 have the
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chris snow edited comment on FLINK-8543 at 2/21/18 7:4
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chris snow edited comment on FLINK-8543 at 2/21/18 4:5
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chris snow edited comment on FLINK-8543 at 2/21/18 4:5
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chris snow edited comment on FLINK-8543 at 2/21/18 4:4
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chris snow commented on FLINK-8543:
---
My apologies, the commented out close() didn&#
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chris snow commented on FLINK-8543:
---
Unfortunately, commenting out the cal
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chris snow edited comment on FLINK-8543 at 2/21/18 1:3
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chris snow commented on FLINK-8543:
---
[~aljoscha] The failures seem to be happening
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chris snow commented on FLINK-8543:
---
Sorry for the delay. I've added
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chris snow commented on FLINK-8543:
---
[~aljoscha] - I’m using AvroKeyValueSinkWr
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chris snow commented on FLINK-8543:
---
I didn’t see any errors or suspicious entrie
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chris snow commented on FLINK-8543:
---
I'm hoping that I can get access to an
chris snow created FLINK-8618:
-
Summary: Add S3 to the list of sinks on the delivery guarantees
page
Key: FLINK-8618
URL: https://issues.apache.org/jira/browse/FLINK-8618
Project: Flink
Issue
chris snow created FLINK-8618:
-
Summary: Add S3 to the list of sinks on the delivery guarantees
page
Key: FLINK-8618
URL: https://issues.apache.org/jira/browse/FLINK-8618
Project: Flink
Issue
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]
chris snow commented on FLINK-8543:
---
One thing to note - I've used the stand
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chris snow updated FLINK-8543:
--
Description:
I'm hitting an issue with my BucketingSink from a streaming job.
{code:java}
retur
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chris snow updated FLINK-8543:
--
Attachment: Screen Shot 2018-01-30 at 18.34.51.png
Description:
I'm hitting an issue wi
chris snow created FLINK-8543:
-
Summary: Output Stream closed at
org.apache.hadoop.fs.s3a.S3AOutputStream.checkOpen
Key: FLINK-8543
URL: https://issues.apache.org/jira/browse/FLINK-8543
Project: Flink
chris snow created FLINK-8543:
-
Summary: Output Stream closed at
org.apache.hadoop.fs.s3a.S3AOutputStream.checkOpen
Key: FLINK-8543
URL: https://issues.apache.org/jira/browse/FLINK-8543
Project: Flink
I’m working with a kafka environment where I’m limited to 100 partitions @
1GB log.retention.bytes each. I’m looking to implement exactly once
processing from this kafka source to a S3 sink.
If I have understood correctly, Flink will only commit the kafka offsets
when the data has been saved to S
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https://issues.apache.org/jira/browse/FLINK-8513?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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chris snow updated FLINK-8513:
--
Description:
It would be useful if the documentation provided information on connecting to
non-AWS S3
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https://issues.apache.org/jira/browse/FLINK-8513?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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chris snow updated FLINK-8513:
--
Description:
It would be useful if the documentation provided information on connecting to
non-AWS S3
chris snow created FLINK-8513:
-
Summary: Add documentation for connecting to non-AWS S3 endpoints
Key: FLINK-8513
URL: https://issues.apache.org/jira/browse/FLINK-8513
Project: Flink
Issue Type
chris snow created FLINK-8513:
-
Summary: Add documentation for connecting to non-AWS S3 endpoints
Key: FLINK-8513
URL: https://issues.apache.org/jira/browse/FLINK-8513
Project: Flink
Issue Type
chris snow created FLINK-8497:
-
Summary: KafkaConsumer throws NPE if topic doesn't exist
Key: FLINK-8497
URL: https://issues.apache.org/jira/browse/FLINK-8497
Project: Flink
Issue Type
chris snow created FLINK-8497:
-
Summary: KafkaConsumer throws NPE if topic doesn't exist
Key: FLINK-8497
URL: https://issues.apache.org/jira/browse/FLINK-8497
Project: Flink
Issue Type
d connectors as eco-systems aside from AK project. On the other
> hand, keeping all the connectors within AK would introduce all dependencies
> of the other data systems into AK repo.
>
>
> Guozhang
>
>
>
> On Sat, Oct 21, 2017 at 1:28 AM, chris snow wrote:
>
> >
I've been working with Kafka Connect for a short while, and I can't help
but contrast it with the approach taken by Apache Camel.
Camel takes an inclusive approach to components - it has a huge number of
components (connectors) that are included as part of the official Camel
distribution. This ma
able as well.
>
>
> Guozhang
>
>
> On Mon, Oct 16, 2017 at 12:51 PM, chris snow wrote:
>
> > The streams global ktable wiki page [1] describes a data warehouse syle
> > operation whereby dimension tables are joined to fact tables.
> >
> > I’m interested i
The streams global ktable wiki page [1] describes a data warehouse syle
operation whereby dimension tables are joined to fact tables.
I’m interested in whether this approach works for type 2 slowly changing
dimensions [2]? In type 2 scd the dimension record history is preserved
and the fact table
The JDBC component shows the following example for basic change data capture:
from("timer://MoveNewCustomersEveryHour?period=360")
.setBody(constant("select * from customer where create_time >
(sysdate-1/24)"))
.to("jdbc:testdb")
.to("kafka:mytopic?...)
I have an ID column in the
I've raised a JIRA to track this:
https://issues.apache.org/jira/browse/CAMEL-11682
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chris snow created CAMEL-11682:
--
Summary: Support configuration parameter sasl.jaas.config
Key: CAMEL-11682
URL: https://issues.apache.org/jira/browse/CAMEL-11682
Project: Camel
Issue Type
I was wondering whether camel should also support consumer.properties and
producer.properties files as a configuration mechanism? This would allow
developers to easily reuse their existing assets for connecting to kafka.
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Thanks Zoran, from the documentation it appears that I need to pass the
parameters:
brokers=kafka01-prod01.messagehub.services.eu-de.bluemix.net:9093kafka02-prod01.messagehub.services.eu-de.bluemix.net:9093
...
saslMechanism=PLAIN
securityProtocol=SASL_SSL
sslProtocol=TLSv1.2
sslEnabledProtocols=T
IBM MessageHub is a kafka 0.10.2.1 service that uses SASL plain to connect.
The connection parameters require passing a list of bootstrap servers and a
user name and password:
"kafka_brokers_sasl": [
"kafka04-prod01.messagehub.services.eu-de.bluemix.net:9093",
"kafka05-prod01.messagehub
chris snow created SPARK-21430:
--
Summary: Add PMML support to SparkR
Key: SPARK-21430
URL: https://issues.apache.org/jira/browse/SPARK-21430
Project: Spark
Issue Type: Sub-task
how does this option work? I'm guessing that this may add some
overhead to my cloudant data load into spark because it will need to
read in all the data before it creates the dataframe?
k)(random.nextGaussian().toFloat)
> val nrm = blas.snrm2(rank, factor, 1)
> blas.sscal(rank, 1.0f / nrm, factor, 1)
> factor
> }
> (srcBlockId, factors)
> }
> }
>
>
> factor is ~ N(0, 1) and then scaled by the L2 norm, but it looks to me the
> abs value is
In the paper “Large-Scale Parallel Collaborative Filtering for the
Netflix Prize”, the following steps are described for ALS:
Step 1 Initialize matrix M by assigning the average rating for that
movie as the first row, and
small random numbers for the remaining entries.
Step 2 Fix M, Solve U by min
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chris snow commented on SPARK-20072:
Will do. Thanks Sean.
> Clarify
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chris snow commented on SPARK-20072:
Fair enough. Though this did cause me
chris snow created SPARK-20072:
--
Summary: Clarify ALS-WR documentation
Key: SPARK-20072
URL: https://issues.apache.org/jira/browse/SPARK-20072
Project: Spark
Issue Type: Improvement
Thanks Nick. If this will help other users, I'll create a JIRA and
send a patch.
On 23 March 2017 at 13:49, Nick Pentreath wrote:
> Yup, that is true and a reasonable clarification of the doc.
>
> On Thu, 23 Mar 2017 at 00:03 chris snow wrote:
>>
>> The docum
The documentation for collaborative filtering is as follows:
===
Scaling of the regularization parameter
Since v1.1, we scale the regularization parameter lambda in solving
each least squares problem by the number of ratings the user generated
in updating user factors, or the number of ratings th
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]
chris snow commented on SPARK-20011:
Ok, thanks. Can you please assign t
chris snow created SPARK-20011:
--
Summary: inconsistent terminology in als api docs and tutorial
Key: SPARK-20011
URL: https://issues.apache.org/jira/browse/SPARK-20011
Project: Spark
Issue Type
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chris snow commented on SPARK-16110:
+1 for backporting this to 1.6 and 2.0
>
thon/, where we are searching for your pyspark distribution.
>
> Your PYTHONPATH isn't even showing us adding the $SPARK_HOME/python/, which
> is also troubling.
>
> On Wed, Dec 14, 2016 at 9:41 AM chris snow wrote:
>
> > I'm trying to setup toree as follows:
>
I'm trying to setup toree as follows:
CLUSTER_NAME=$(curl -s -k -u $BI_USER:$BI_PASS -X GET
https://${BI_HOST}:9443/api/v1/clusters
| python -c 'import sys, json;
print(json.load(sys.stdin)["items"][0]["Clusters"]["cluster_name"]);')
echo Cluster Name: $CLUSTER_NAME
CLUSTER_HOSTS=$(c
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chris snow commented on SPARK-18230:
If you are trying to indicate a non exis
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chris snow edited comment on SPARK-18230 at 12/6/16 12:5
Ah cool, thanks for the link!
On 6 December 2016 at 12:25, Nick Pentreath
wrote:
> Indeed, it's being tracked here: https://issues.apache.
> org/jira/browse/SPARK-18230 though no Pr has been opened yet.
>
>
> On Tue, 6 Dec 2016 at 13:36 chris snow wrote
I'm using the MatrixFactorizationModel.predict() method and encountered the
following exception:
Name: java.util.NoSuchElementException
Message: next on empty iterator
StackTrace: scala.collection.Iterator$$anon$2.next(Iterator.scala:39)
scala.collection.Iterator$$anon$2.next(Iterator.scala:37)
sc
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chris snow updated SPARK-18472:
---
Component/s: MLlib
> ALS Rating to support string product and user k
chris snow created SPARK-18472:
--
Summary: ALS Rating to support string product and user keys
Key: SPARK-18472
URL: https://issues.apache.org/jira/browse/SPARK-18472
Project: Spark
Issue Type
chris snow created ZEPPELIN-1382:
Summary: Websocket reconnect button
Key: ZEPPELIN-1382
URL: https://issues.apache.org/jira/browse/ZEPPELIN-1382
Project: Zeppelin
Issue Type: New Feature
When configuring a new Kafka cluster, is it common practice to leave the l
og.retention.bytes setting at -1?
If not -1, it would be interesting to know what size partitions other users
have.
Many thanks,
Chris
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chris snow commented on KNOX-733:
-
This sounds good. A few questions ...
- If the CL
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chris snow commented on KNOX-733:
-
I should have said CLI / library rather than just
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chris snow commented on KNOX-734:
-
I didn't realised that webhdfs didn't have
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https://issues.apache.org/jira/browse/KNOX-733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15426013#comment-15426013
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chris snow commented on KNOX-733:
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In terms of requirements:
1) I would like the CLI t
chris snow created KNOX-734:
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Summary: Shell client to have a hdfs copy operation
Key: KNOX-734
URL: https://issues.apache.org/jira/browse/KNOX-734
Project: Apache Knox
Issue Type: New Feature
chris snow created KNOX-733:
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Summary: Knox shell client is susceptible to man-in-the-middle
attack
Key: KNOX-733
URL: https://issues.apache.org/jira/browse/KNOX-733
Project: Apache Knox
Issue
chris snow created ZEPPELIN-1314:
Summary: dump on the R command line in the debug output
Key: ZEPPELIN-1314
URL: https://issues.apache.org/jira/browse/ZEPPELIN-1314
Project: Zeppelin
Issue
chris snow created ZEPPELIN-1252:
Summary: Please provide Zeppelin precompiled for Hbase 1.2
Key: ZEPPELIN-1252
URL: https://issues.apache.org/jira/browse/ZEPPELIN-1252
Project: Zeppelin
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https://issues.apache.org/jira/browse/KNOX-713?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15294994#comment-15294994
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chris snow commented on KNOX-713:
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Awesome! Thanks Larry!
When is 0.9.1 expected t
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