Multi Tenant DB and JDBC River


(Nitin Maheshwari) #1

Hi Jörg,

I am working on a multi tenant application where each tenant has its own
database. I am planning to use ES for indexing the data, and JDBC river for
doing periodic bulk indexing. I do not want to create one river per DB per
object type. This will lead to too many rivers.

I wanted to modify the JDBC river so that I can give parent DB location,
where all tenant db connection information is available. And then inside
the river, modify it such that a feader thread is created for each river.

Do you see any issue with this or do you have any other recommendation?

Thanks,
Nitin

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(Jörg Prante) #2

For multi tenant, the river concept is awkward. River is a singleton and is
bound to single user execution, and you are right, creating river instances
per DB and per index does not scale.

There are several options:

  • write a more sophisticated plugin which acts as a service and not as a
    singleton. The ES service component, which would maintain state in the
    cluster state, could accept job requests where each job request is
    equivalent to a JDBC pull. The job requests are delegated to a node which
    is not very busy with jobs (load balancing). The code of the JDBC river can
    be reused for that.

  • write a separate middleware for your tenants where they can have separate
    access to the DB and prepare ES JSON bulk files from (maybe be by REST API
    calls similar in style to ES). This would be a domain specific solution but
    offers most flexibility to the tenants, they are free to decide how and
    when to create and index the data from DB.

Jörg

On Tue, Aug 26, 2014 at 11:21 AM, Nitin Maheshwari ask4nitin@gmail.com
wrote:

Hi Jörg,

I am working on a multi tenant application where each tenant has its own
database. I am planning to use ES for indexing the data, and JDBC river for
doing periodic bulk indexing. I do not want to create one river per DB per
object type. This will lead to too many rivers.

I wanted to modify the JDBC river so that I can give parent DB location,
where all tenant db connection information is available. And then inside
the river, modify it such that a feader thread is created for each river.

Do you see any issue with this or do you have any other recommendation?

Thanks,
Nitin

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(Nitin Maheshwari) #3

Thanks Jörg for your quick and timely response.

I am new to ES, can you point me to any reference implementation for the ES
service component?

Once again thanks for the help.

Nitin

On Tuesday, 26 August 2014 15:07:05 UTC+5:30, Jörg Prante wrote:

For multi tenant, the river concept is awkward. River is a singleton and
is bound to single user execution, and you are right, creating river
instances per DB and per index does not scale.

There are several options:

  • write a more sophisticated plugin which acts as a service and not as a
    singleton. The ES service component, which would maintain state in the
    cluster state, could accept job requests where each job request is
    equivalent to a JDBC pull. The job requests are delegated to a node which
    is not very busy with jobs (load balancing). The code of the JDBC river can
    be reused for that.

  • write a separate middleware for your tenants where they can have
    separate access to the DB and prepare ES JSON bulk files from (maybe be by
    REST API calls similar in style to ES). This would be a domain specific
    solution but offers most flexibility to the tenants, they are free to
    decide how and when to create and index the data from DB.

Jörg

On Tue, Aug 26, 2014 at 11:21 AM, Nitin Maheshwari <ask4...@gmail.com
<javascript:>> wrote:

Hi Jörg,

I am working on a multi tenant application where each tenant has its own
database. I am planning to use ES for indexing the data, and JDBC river for
doing periodic bulk indexing. I do not want to create one river per DB per
object type. This will lead to too many rivers.

I wanted to modify the JDBC river so that I can give parent DB location,
where all tenant db connection information is available. And then inside
the river, modify it such that a feader thread is created for each river.

Do you see any issue with this or do you have any other recommendation?

Thanks,
Nitin

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(Jörg Prante) #4

I work on such a component which can handle jobs and delegate them to other
nodes but no working implementation available yet.

For a service component that is able to maintain state in the cluster
state, see RiverState class in JDBC plugin.

Jörg

On Thu, Aug 28, 2014 at 8:08 AM, Nitin Maheshwari ask4nitin@gmail.com
wrote:

Thanks Jörg for your quick and timely response.

I am new to ES, can you point me to any reference implementation for the
ES service component?

Once again thanks for the help.

Nitin

On Tuesday, 26 August 2014 15:07:05 UTC+5:30, Jörg Prante wrote:

For multi tenant, the river concept is awkward. River is a singleton and
is bound to single user execution, and you are right, creating river
instances per DB and per index does not scale.

There are several options:

  • write a more sophisticated plugin which acts as a service and not as a
    singleton. The ES service component, which would maintain state in the
    cluster state, could accept job requests where each job request is
    equivalent to a JDBC pull. The job requests are delegated to a node which
    is not very busy with jobs (load balancing). The code of the JDBC river can
    be reused for that.

  • write a separate middleware for your tenants where they can have
    separate access to the DB and prepare ES JSON bulk files from (maybe be by
    REST API calls similar in style to ES). This would be a domain specific
    solution but offers most flexibility to the tenants, they are free to
    decide how and when to create and index the data from DB.

Jörg

On Tue, Aug 26, 2014 at 11:21 AM, Nitin Maheshwari ask4...@gmail.com
wrote:

Hi Jörg,

I am working on a multi tenant application where each tenant has its own
database. I am planning to use ES for indexing the data, and JDBC river for
doing periodic bulk indexing. I do not want to create one river per DB per
object type. This will lead to too many rivers.

I wanted to modify the JDBC river so that I can give parent DB location,
where all tenant db connection information is available. And then inside
the river, modify it such that a feader thread is created for each river.

Do you see any issue with this or do you have any other recommendation?

Thanks,
Nitin

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(Nitin Maheshwari) #5

Thanks for the reference, its helpful.

On Thu, Aug 28, 2014 at 12:33 PM, joergprante@gmail.com <
joergprante@gmail.com> wrote:

I work on such a component which can handle jobs and delegate them to
other nodes but no working implementation available yet.

For a service component that is able to maintain state in the cluster
state, see RiverState class in JDBC plugin.

Jörg

On Thu, Aug 28, 2014 at 8:08 AM, Nitin Maheshwari ask4nitin@gmail.com
wrote:

Thanks Jörg for your quick and timely response.

I am new to ES, can you point me to any reference implementation for the
ES service component?

Once again thanks for the help.

Nitin

On Tuesday, 26 August 2014 15:07:05 UTC+5:30, Jörg Prante wrote:

For multi tenant, the river concept is awkward. River is a singleton and
is bound to single user execution, and you are right, creating river
instances per DB and per index does not scale.

There are several options:

  • write a more sophisticated plugin which acts as a service and not as a
    singleton. The ES service component, which would maintain state in the
    cluster state, could accept job requests where each job request is
    equivalent to a JDBC pull. The job requests are delegated to a node which
    is not very busy with jobs (load balancing). The code of the JDBC river can
    be reused for that.

  • write a separate middleware for your tenants where they can have
    separate access to the DB and prepare ES JSON bulk files from (maybe be by
    REST API calls similar in style to ES). This would be a domain specific
    solution but offers most flexibility to the tenants, they are free to
    decide how and when to create and index the data from DB.

Jörg

On Tue, Aug 26, 2014 at 11:21 AM, Nitin Maheshwari ask4...@gmail.com
wrote:

Hi Jörg,

I am working on a multi tenant application where each tenant has its
own database. I am planning to use ES for indexing the data, and JDBC river
for doing periodic bulk indexing. I do not want to create one river per DB
per object type. This will lead to too many rivers.

I wanted to modify the JDBC river so that I can give parent DB
location, where all tenant db connection information is available. And then
inside the river, modify it such that a feader thread is created for each
river.

Do you see any issue with this or do you have any other recommendation?

Thanks,
Nitin

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(Lukáš Vlček) #6

Nitin,

If I am not mistaken rivers in ES will be deprecated. So in any case river
is not a good way to go for design of future application. We are using
rivers quite a lot in our project and we will be moving the functionality
to middleware layer.

Regards,
Lukáš
Dne 31.8.2014 3:58 "Nitin Maheshwari" ask4nitin@gmail.com napsal(a):

Thanks for the reference, its helpful.

On Thu, Aug 28, 2014 at 12:33 PM, joergprante@gmail.com <
joergprante@gmail.com> wrote:

I work on such a component which can handle jobs and delegate them to
other nodes but no working implementation available yet.

For a service component that is able to maintain state in the cluster
state, see RiverState class in JDBC plugin.

Jörg

On Thu, Aug 28, 2014 at 8:08 AM, Nitin Maheshwari ask4nitin@gmail.com
wrote:

Thanks Jörg for your quick and timely response.

I am new to ES, can you point me to any reference implementation for the
ES service component?

Once again thanks for the help.

Nitin

On Tuesday, 26 August 2014 15:07:05 UTC+5:30, Jörg Prante wrote:

For multi tenant, the river concept is awkward. River is a singleton
and is bound to single user execution, and you are right, creating river
instances per DB and per index does not scale.

There are several options:

  • write a more sophisticated plugin which acts as a service and not as
    a singleton. The ES service component, which would maintain state in the
    cluster state, could accept job requests where each job request is
    equivalent to a JDBC pull. The job requests are delegated to a node which
    is not very busy with jobs (load balancing). The code of the JDBC river can
    be reused for that.

  • write a separate middleware for your tenants where they can have
    separate access to the DB and prepare ES JSON bulk files from (maybe be by
    REST API calls similar in style to ES). This would be a domain specific
    solution but offers most flexibility to the tenants, they are free to
    decide how and when to create and index the data from DB.

Jörg

On Tue, Aug 26, 2014 at 11:21 AM, Nitin Maheshwari ask4...@gmail.com
wrote:

Hi Jörg,

I am working on a multi tenant application where each tenant has its
own database. I am planning to use ES for indexing the data, and JDBC river
for doing periodic bulk indexing. I do not want to create one river per DB
per object type. This will lead to too many rivers.

I wanted to modify the JDBC river so that I can give parent DB
location, where all tenant db connection information is available. And then
inside the river, modify it such that a feader thread is created for each
river.

Do you see any issue with this or do you have any other recommendation?

Thanks,
Nitin

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(Jörg Prante) #7

Since rivers are just a style of execution of ES plugins, I am sure there
will be replacements at the plugin level, after rivers are officially
deprecated.

Logstash or custom middleware, or the JDBC feed mode, are push-style
applications, which can ingest data into ES, without the requirement of a
plugin. I do not think that push-style is always feasible to replace river
style execution. An example is the multi tenancy scenario, where a provider
wants a single piece of SaaS code to maintain for all tenants. Or stateful
indexing, where the last known state of the indexing should be available at
the ES side. You could implement a pull-style framework within the ES JVM,
with provisioning, job processing, drivers, dispatchers, multi tenancy etc.
(prominent example would be a web harvester). In this scenario, no change
at middleware would be required, or adding extra machinery to the indexing
chain, like Logstash, or JDBC feed mode, because all is hosted within ES
JVM. So in the end it is all a matter of style how to index docs. Both push
or pull approaches do not interfere.

Jörg

On Sun, Aug 31, 2014 at 6:10 AM, Lukáš Vlček lukas.vlcek@gmail.com wrote:

Nitin,

If I am not mistaken rivers in ES will be deprecated. So in any case river
is not a good way to go for design of future application. We are using
rivers quite a lot in our project and we will be moving the functionality
to middleware layer.

Regards,
Lukáš
Dne 31.8.2014 3:58 "Nitin Maheshwari" ask4nitin@gmail.com napsal(a):

Thanks for the reference, its helpful.

On Thu, Aug 28, 2014 at 12:33 PM, joergprante@gmail.com <
joergprante@gmail.com> wrote:

I work on such a component which can handle jobs and delegate them to
other nodes but no working implementation available yet.

For a service component that is able to maintain state in the cluster
state, see RiverState class in JDBC plugin.

Jörg

On Thu, Aug 28, 2014 at 8:08 AM, Nitin Maheshwari ask4nitin@gmail.com
wrote:

Thanks Jörg for your quick and timely response.

I am new to ES, can you point me to any reference implementation for
the ES service component?

Once again thanks for the help.

Nitin

On Tuesday, 26 August 2014 15:07:05 UTC+5:30, Jörg Prante wrote:

For multi tenant, the river concept is awkward. River is a singleton
and is bound to single user execution, and you are right, creating river
instances per DB and per index does not scale.

There are several options:

  • write a more sophisticated plugin which acts as a service and not as
    a singleton. The ES service component, which would maintain state in the
    cluster state, could accept job requests where each job request is
    equivalent to a JDBC pull. The job requests are delegated to a node which
    is not very busy with jobs (load balancing). The code of the JDBC river can
    be reused for that.

  • write a separate middleware for your tenants where they can have
    separate access to the DB and prepare ES JSON bulk files from (maybe be by
    REST API calls similar in style to ES). This would be a domain specific
    solution but offers most flexibility to the tenants, they are free to
    decide how and when to create and index the data from DB.

Jörg

On Tue, Aug 26, 2014 at 11:21 AM, Nitin Maheshwari ask4...@gmail.com
wrote:

Hi Jörg,

I am working on a multi tenant application where each tenant has its
own database. I am planning to use ES for indexing the data, and JDBC river
for doing periodic bulk indexing. I do not want to create one river per DB
per object type. This will lead to too many rivers.

I wanted to modify the JDBC river so that I can give parent DB
location, where all tenant db connection information is available. And then
inside the river, modify it such that a feader thread is created for each
river.

Do you see any issue with this or do you have any other
recommendation?

Thanks,
Nitin

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Nitin (Nits)
http://nitinmaheshwari.in

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(system) #8