Re: ElasticSearch enrich
for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
client in local mode just have a flag that control what type of client you create. - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? I think the simplest thing to do would be use the same client in mode and just start single node elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
RE: ElasticSearch enrich
b0c1http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=user_nodesuser=1215,
could you post your code? I am interested in your solution.
Thanks
Adrian
From: boci [mailto:boci.b...@gmail.com]
Sent: June-26-14 6:17 PM
To: user@spark.apache.org
Subject: Re: ElasticSearch enrich
Wow, thanks your fast answer, it's help a lot...
b0c1
--
Skype: boci13, Hangout: boci.b...@gmail.commailto:boci.b...@gmail.com
On Thu, Jun 26, 2014 at 11:48 PM, Holden Karau
hol...@pigscanfly.camailto:hol...@pigscanfly.ca wrote:
Hi b0c1,
I have an example of how to do this in the repo for my talk as well, the
specific example is at
https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/IndexTweetsLive.scala
. Since DStream doesn't have a saveAsHadoopDataset we use foreachRDD and then
call saveAsHadoopDataset on the RDD that gets passed into the function we
provide to foreachRDD.
e.g.
stream.foreachRDD{(data, time) =
val jobconf = ...
data.map(prepareDataForIndexing).saveAsHadoopDataset(jobConf)
}
Hope that helps :)
Cheers,
Holden :)
On Thu, Jun 26, 2014 at 2:23 PM, boci
boci.b...@gmail.commailto:boci.b...@gmail.com wrote:
Thanks. I without local option I can connect with es remote, now I only have
one problem. How can I use elasticsearch-hadoop with spark streaming? I mean
DStream doesn't have saveAsHadoopFiles method, my second problem the output
index is depend by the input data.
Thanks
--
Skype: boci13, Hangout: boci.b...@gmail.commailto:boci.b...@gmail.com
On Thu, Jun 26, 2014 at 10:10 AM, Nick Pentreath
nick.pentre...@gmail.commailto:nick.pentre...@gmail.com wrote:
You can just add elasticsearch-hadoop as a dependency to your project to user
the ESInputFormat and ESOutputFormat
(https://github.com/elasticsearch/elasticsearch-hadoop). Some other basics
here:
http://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/spark.html
For testing, yes I think you will need to start ES in local mode (just
./bin/elasticsearch) and use the default config (host = localhost, port = 9200).
On Thu, Jun 26, 2014 at 9:04 AM, boci
boci.b...@gmail.commailto:boci.b...@gmail.com wrote:
That's okay, but hadoop has ES integration. what happened if I run
saveAsHadoopFile without hadoop (or I must need to pull up hadoop
programatically? (if I can))
b0c1
--
Skype: boci13, Hangout: boci.b...@gmail.commailto:boci.b...@gmail.com
On Thu, Jun 26, 2014 at 1:20 AM, Holden Karau
hol...@pigscanfly.camailto:hol...@pigscanfly.ca wrote:
On Wed, Jun 25, 2014 at 4:16 PM, boci
boci.b...@gmail.commailto:boci.b...@gmail.com wrote:
Hi guys, thanks the direction now I have some problem/question:
- in local (test) mode I want to use ElasticClient.local to create es
connection, but in prodution I want to use ElasticClient.remote, to this I want
to pass ElasticClient to mapPartitions, or what is the best practices?
In this case you probably want to make the ElasticClient inside of
mapPartitions (since it isn't serializable) and if you want to use a different
client in local mode just have a flag that control what type of client you
create.
- my stream output is write into elasticsearch. How can I test
output.saveAsHadoopFile[ESOutputFormat](-) in local environment?
- After store the enriched data into ES, I want to generate aggregated data
(EsInputFormat) how can I test it in local?
I think the simplest thing to do would be use the same client in mode and just
start single node elastic search cluster.
Thanks guys
b0c1
--
Skype: boci13, Hangout: boci.b...@gmail.commailto:boci.b...@gmail.com
On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau
hol...@pigscanfly.camailto:hol...@pigscanfly.ca wrote:
So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but
for now if you want to see a simple demo which uses elasticsearch for geo input
you can take a look at my quick dirty implementation with
TopTweetsInALocation (
https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala
). This approach uses the ESInputFormat which avoids the difficulty of having
to manually create ElasticSearch clients.
This approach might not work for your data, e.g. if you need to create a query
for each record in your RDD. If this is the case, you could instead look at
using mapPartitions and setting up your Elasticsearch connection inside of
that, so you could then re-use
Re: ElasticSearch enrich
at 4:16 PM, boci boci.b...@gmail.com wrote: Hi guys, thanks the direction now I have some problem/question: - in local (test) mode I want to use ElasticClient.local to create es connection, but in prodution I want to use ElasticClient.remote, to this I want to pass ElasticClient to mapPartitions, or what is the best practices? In this case you probably want to make the ElasticClient inside of mapPartitions (since it isn't serializable) and if you want to use a different client in local mode just have a flag that control what type of client you create. - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? I think the simplest thing to do would be use the same client in mode and just start single node elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
...@gmail.com On Thu, Jun 26, 2014 at 1:20 AM, Holden Karau hol...@pigscanfly.ca wrote: On Wed, Jun 25, 2014 at 4:16 PM, boci boci.b...@gmail.com wrote: Hi guys, thanks the direction now I have some problem/question: - in local (test) mode I want to use ElasticClient.local to create es connection, but in prodution I want to use ElasticClient.remote, to this I want to pass ElasticClient to mapPartitions, or what is the best practices? In this case you probably want to make the ElasticClient inside of mapPartitions (since it isn't serializable) and if you want to use a different client in local mode just have a flag that control what type of client you create. - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? I think the simplest thing to do would be use the same client in mode and just start single node elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
That's okay, but hadoop has ES integration. what happened if I run saveAsHadoopFile without hadoop (or I must need to pull up hadoop programatically? (if I can)) b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Thu, Jun 26, 2014 at 1:20 AM, Holden Karau hol...@pigscanfly.ca wrote: On Wed, Jun 25, 2014 at 4:16 PM, boci boci.b...@gmail.com wrote: Hi guys, thanks the direction now I have some problem/question: - in local (test) mode I want to use ElasticClient.local to create es connection, but in prodution I want to use ElasticClient.remote, to this I want to pass ElasticClient to mapPartitions, or what is the best practices? In this case you probably want to make the ElasticClient inside of mapPartitions (since it isn't serializable) and if you want to use a different client in local mode just have a flag that control what type of client you create. - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? I think the simplest thing to do would be use the same client in mode and just start single node elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
You can just add elasticsearch-hadoop as a dependency to your project to user the ESInputFormat and ESOutputFormat ( https://github.com/elasticsearch/elasticsearch-hadoop). Some other basics here: http://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/spark.html For testing, yes I think you will need to start ES in local mode (just ./bin/elasticsearch) and use the default config (host = localhost, port = 9200). On Thu, Jun 26, 2014 at 9:04 AM, boci boci.b...@gmail.com wrote: That's okay, but hadoop has ES integration. what happened if I run saveAsHadoopFile without hadoop (or I must need to pull up hadoop programatically? (if I can)) b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Thu, Jun 26, 2014 at 1:20 AM, Holden Karau hol...@pigscanfly.ca wrote: On Wed, Jun 25, 2014 at 4:16 PM, boci boci.b...@gmail.com wrote: Hi guys, thanks the direction now I have some problem/question: - in local (test) mode I want to use ElasticClient.local to create es connection, but in prodution I want to use ElasticClient.remote, to this I want to pass ElasticClient to mapPartitions, or what is the best practices? In this case you probably want to make the ElasticClient inside of mapPartitions (since it isn't serializable) and if you want to use a different client in local mode just have a flag that control what type of client you create. - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? I think the simplest thing to do would be use the same client in mode and just start single node elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
Thanks. I without local option I can connect with es remote, now I only have one problem. How can I use elasticsearch-hadoop with spark streaming? I mean DStream doesn't have saveAsHadoopFiles method, my second problem the output index is depend by the input data. Thanks -- Skype: boci13, Hangout: boci.b...@gmail.com On Thu, Jun 26, 2014 at 10:10 AM, Nick Pentreath nick.pentre...@gmail.com wrote: You can just add elasticsearch-hadoop as a dependency to your project to user the ESInputFormat and ESOutputFormat ( https://github.com/elasticsearch/elasticsearch-hadoop). Some other basics here: http://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/spark.html For testing, yes I think you will need to start ES in local mode (just ./bin/elasticsearch) and use the default config (host = localhost, port = 9200). On Thu, Jun 26, 2014 at 9:04 AM, boci boci.b...@gmail.com wrote: That's okay, but hadoop has ES integration. what happened if I run saveAsHadoopFile without hadoop (or I must need to pull up hadoop programatically? (if I can)) b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Thu, Jun 26, 2014 at 1:20 AM, Holden Karau hol...@pigscanfly.ca wrote: On Wed, Jun 25, 2014 at 4:16 PM, boci boci.b...@gmail.com wrote: Hi guys, thanks the direction now I have some problem/question: - in local (test) mode I want to use ElasticClient.local to create es connection, but in prodution I want to use ElasticClient.remote, to this I want to pass ElasticClient to mapPartitions, or what is the best practices? In this case you probably want to make the ElasticClient inside of mapPartitions (since it isn't serializable) and if you want to use a different client in local mode just have a flag that control what type of client you create. - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? I think the simplest thing to do would be use the same client in mode and just start single node elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271
Re: ElasticSearch enrich
is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271 -- Cell : 425-233-8271
Re: ElasticSearch enrich
Hi guys, thanks the direction now I have some problem/question: - in local (test) mode I want to use ElasticClient.local to create es connection, but in prodution I want to use ElasticClient.remote, to this I want to pass ElasticClient to mapPartitions, or what is the best practices? - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271
Re: ElasticSearch enrich
On Wed, Jun 25, 2014 at 4:16 PM, boci boci.b...@gmail.com wrote: Hi guys, thanks the direction now I have some problem/question: - in local (test) mode I want to use ElasticClient.local to create es connection, but in prodution I want to use ElasticClient.remote, to this I want to pass ElasticClient to mapPartitions, or what is the best practices? In this case you probably want to make the ElasticClient inside of mapPartitions (since it isn't serializable) and if you want to use a different client in local mode just have a flag that control what type of client you create. - my stream output is write into elasticsearch. How can I test output.saveAsHadoopFile[ESOutputFormat](-) in local environment? - After store the enriched data into ES, I want to generate aggregated data (EsInputFormat) how can I test it in local? I think the simplest thing to do would be use the same client in mode and just start single node elastic search cluster. Thanks guys b0c1 -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:33 AM, Holden Karau hol...@pigscanfly.ca wrote: So I'm giving a talk at the Spark summit on using Spark ElasticSearch, but for now if you want to see a simple demo which uses elasticsearch for geo input you can take a look at my quick dirty implementation with TopTweetsInALocation ( https://github.com/holdenk/elasticsearchspark/blob/master/src/main/scala/com/holdenkarau/esspark/TopTweetsInALocation.scala ). This approach uses the ESInputFormat which avoids the difficulty of having to manually create ElasticSearch clients. This approach might not work for your data, e.g. if you need to create a query for each record in your RDD. If this is the case, you could instead look at using mapPartitions and setting up your Elasticsearch connection inside of that, so you could then re-use the client for all of the queries on each partition. This approach will avoid having to serialize the Elasticsearch connection because it will be local to your function. Hope this helps! Cheers, Holden :) On Tue, Jun 24, 2014 at 4:28 PM, Mayur Rustagi mayur.rust...@gmail.com wrote: Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com. -- Cell : 425-233-8271 -- Cell : 425-233-8271
ElasticSearch enrich
Hi guys, I have a small question. I want to create a Worker class which using ElasticClient to make query to elasticsearch. (I want to enrich my data with geo search result). How can I do that? I try to create a worker instance with ES host/port parameter but spark throw an exceptino (my class not serializable). Any idea? Thanks b0c1
Re: ElasticSearch enrich
make sure all queries are called through class methods and wrap your query info with a class having only simple properties (strings, collections etc). If you can't find such wrapper you can also use SerializableWritable wrapper out-of-the-box, but its not recommended. (developer-api and make fat closures that run slowly) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8214.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
Re: ElasticSearch enrich
Ok but in this case where can I store the ES connection? Or all document create new ES connection inside the worker? -- Skype: boci13, Hangout: boci.b...@gmail.com On Wed, Jun 25, 2014 at 1:01 AM, Peng Cheng pc...@uow.edu.au wrote: make sure all queries are called through class methods and wrap your query info with a class having only simple properties (strings, collections etc). If you can't find such wrapper you can also use SerializableWritable wrapper out-of-the-box, but its not recommended. (developer-api and make fat closures that run slowly) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8214.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
Re: ElasticSearch enrich
Mostly ES client is not serializable for you. You can do 3 workarounds, 1. Switch to kryo serialization, register the client in kryo , might solve your serialization issue 2. Use mappartition for all your data initialize your client in the mappartition code, this will create client for each partition, reduce some parallelism add some overhead of creation of client but prevent serialization of esclient transfer to workers 3. Use serializablewrapper to serialize your ESclient manually send it across deserialize it manually, this may or may not work depending on whether your class is safely serializable. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:12 AM, boci boci.b...@gmail.com wrote: Hi guys, I have a small question. I want to create a Worker class which using ElasticClient to make query to elasticsearch. (I want to enrich my data with geo search result). How can I do that? I try to create a worker instance with ES host/port parameter but spark throw an exceptino (my class not serializable). Any idea? Thanks b0c1
Re: ElasticSearch enrich
I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
Re: ElasticSearch enrich
Its not used as default serializer for some issues with compatibility requirement to register the classes.. Which part are you getting as nonserializable... you need to serialize that class if you are sending it to spark workers inside a map, reduce , mappartition or any of the operations on RDD. Mayur Rustagi Ph: +1 (760) 203 3257 http://www.sigmoidanalytics.com @mayur_rustagi https://twitter.com/mayur_rustagi On Wed, Jun 25, 2014 at 4:52 AM, Peng Cheng pc...@uow.edu.au wrote: I'm afraid persisting connection across two tasks is a dangerous act as they can't be guaranteed to be executed on the same machine. Your ES server may think its a man-in-the-middle attack! I think its possible to invoke a static method that give you a connection in a local 'pool', so nothing will sneak into your closure, but its too complex and there should be a better option. Never use kryo before, if its that good perhaps we should use it as the default serializer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ElasticSearch-enrich-tp8209p8222.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
