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Posted to user@flink.apache.org by Wouter Zorgdrager <zo...@gmail.com> on 2018/05/01 14:30:56 UTC
Re: KafkaProducer with generic (Avro) serialization schema
So, I'm still struggling with this issue. I dived a bit more into the
problem and I'm pretty sure that the problem is that I have to (implicitly)
pass the SchemaFor and RecordTo classes to my serialization schema
(otherwise I can't make it generic). However those class aren't
serializable, but of course I can't annotate them transient nor make it a
lazy val which gives me the current issue.
I hope someone has some leads for me.
Thanks!
Op do 26 apr. 2018 om 23:03 schreef Wouter Zorgdrager <zorgdragerw@gmail.com
>:
> Hi Bill,
>
> Thanks for your answer. However this proposal isn't going to solve my
> issue, since the problem here is that the context bounds I need to give in
> order to serialize it to Avro (SchemaFor, ToRecord and FromRecord) aren't
> serializable classes. This results in Flink not being able to serialize the
> KafkaProducer failing the whole job.
>
> Thanks,
> Wouter
>
> Op do 26 apr. 2018 om 00:42 schreef Nortman, Bill <
> William.Nortman@pimco.com>:
>
>> The things I would try would first in you are you class Person and
>> Address have getters and setters and a no argument constructor.
>>
>>
>>
>> *From:* Wouter Zorgdrager [mailto:zorgdragerw@gmail.com]
>> *Sent:* Wednesday, April 25, 2018 7:17 AM
>> *To:* user@flink.apache.org
>> *Subject:* KafkaProducer with generic (Avro) serialization schema
>>
>>
>>
>> Dear reader,
>>
>>
>>
>> I'm currently working on writing a KafkaProducer which is able to
>> serialize a generic type using avro4s.
>>
>> However this serialization schema is not serializable itself. Here is my
>> code for this:
>>
>>
>>
>> The serialization schema:
>>
>> class AvroSerializationSchema[IN : SchemaFor : FromRecord: ToRecord]
>> extends SerializationSchema[IN] {
>>
>>
>>
>> override def serialize(element: IN): Array[Byte] = {
>>
>> val byteArray = new ByteArrayOutputStream()
>>
>> val avroSer = AvroOutputStream.binary[IN](byteArray)
>>
>> avroSer.write(element)
>>
>> avroSer.flush()
>>
>> avroSer.close()
>>
>>
>>
>> return byteArray.toByteArray
>>
>> }
>>
>> }
>>
>>
>>
>> The job code:
>>
>> case class Person(name : String, age : Int, address : Address)
>>
>> case class Address(city : String, street : String)
>>
>>
>>
>> class SimpleJob {
>>
>>
>>
>> @transient
>>
>> private lazy val serSchema : AvroSerializationSchema[Person] = new
>> AvroSerializationSchema[Person]()
>>
>>
>>
>> def start() = {
>>
>> val testPerson = Person("Test", 100, Address("Test", "Test"))
>>
>>
>>
>> val env = StreamExecutionEnvironment.getExecutionEnvironment
>>
>>
>>
>> env.
>>
>> fromCollection(Seq(testPerson)).
>>
>> addSink(createKafkaSink())
>>
>>
>>
>> env.execute("Flink sample job")
>>
>> }
>>
>>
>>
>>
>>
>> def createKafkaSink() : RichSinkFunction[Person] = {
>>
>> //set some properties
>>
>> val properties = new Properties()
>>
>> properties.put("bootstrap.servers", "127.0.0.01:9092
>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.01-3A9092&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=GR3YuCSPimKhPq1hcics55VX6yef8lIsMEyTmEGFRSc&e=>
>> ")
>>
>> properties.put("zookeeper.connect", "127.0.0.1:2181
>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.1-3A2181&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=zkbyqz0oyZOwyBZ9Hy7PpuGlTyPPB639vVkkFc6FlpQ&e=>
>> ")
>>
>>
>>
>> new FlinkKafkaProducer011[Person]("persons", serSchema, properties)
>>
>> }
>>
>>
>>
>> }
>>
>>
>>
>> The code does compile, however it gives the following error on
>> runtime: InvalidProgramException: Object
>> org.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper@639c2c1d
>> is not serializable.
>>
>>
>>
>> I assume this means that my custom SerializationSchema is not
>> serializable due to the use of SchemaFor, FromRecord and ToRecord.
>>
>> Anyone knows a solution or workaround?
>>
>>
>>
>> Thanks in advance!
>>
>> Wouter
>>
>> This message contains confidential information and is intended only for
>> the individual named. If you are not the named addressee, you should not
>> disseminate, distribute, alter or copy this e-mail. Please notify the
>> sender immediately by e-mail if you have received this e-mail by mistake
>> and delete this e-mail from your system. E-mail transmissions cannot be
>> guaranteed to be secure or without error as information could be
>> intercepted, corrupted, lost, destroyed, arrive late or incomplete, or
>> contain viruses. The sender, therefore, does not accept liability for any
>> errors or omissions in the contents of this message which arise during or
>> as a result of e-mail transmission. If verification is required, please
>> request a hard-copy version. This message is provided for information
>> purposes and should not be construed as a solicitation or offer to buy or
>> sell any securities or related financial instruments in any jurisdiction.
>> Securities are offered in the U.S. through PIMCO Investments LLC,
>> distributor and a company of PIMCO LLC.
>>
>> The individual providing the information herein is an employee of Pacific
>> Investment Management Company LLC ("PIMCO"), an SEC-registered investment
>> adviser. To the extent such individual advises you regarding a PIMCO
>> investment strategy, he or she does so as an associated person of PIMCO.
>> To the extent that any information is provided to you related to a
>> PIMCO-sponsored investment fund ("PIMCO Fund"), it is being provided to you
>> in the individual's capacity as a registered representative of PIMCO
>> Investments LLC ("PI"), an SEC-registered broker-dealer. PI is not
>> registered, and does not intend to register, as a municipal advisor and
>> therefore does not provide advice with respect to the investment of the
>> proceeds of municipal securities or municipal escrow investments. In
>> addition, unless otherwise agreed by PIMCO, this communication and any
>> related attachments are being provided on the express basis that they will
>> not cause PIMCO LLC, or its affiliates, to become an investment advice
>> fiduciary under ERISA or the Internal Revenue Code.
>>
>
Re: KafkaProducer with generic (Avro) serialization schema
Posted by Wouter Zorgdrager <zo...@gmail.com>.
Hi,
Thanks for the suggestions.
Unfortunately I cannot make FromRecord/ForRecord/SchemaFor serializable,
since those classes are out of my control. I use those from the avro4s
library (https://github.com/sksamuel/avro4s). The problem here, especially
with the deserializer is that I need to convert an Avro 'GenericRecord' to
a Scala case class. Avro is written in Java, so thats a bit problematic and
therefore I need to Avro4s library. Avro4s tries to verify on compile-time
if the generic is actually convertible from/to a generic record, that is
why I need those context bounds.
As for @Aljoscha's workaround, I don't understand how this would solve it?
Because doesn't that just move the problem? If I create a factory, I still
need the generic (with context bounds) I specify at my
KafkaConsumer/Deserialization schema.
@Fabian I'm not sure if I understand your proposal. I still need the
context bounds for those compile-time macro's of Avro4s.
Once again, thanks for your help so far!
Regards,
Wouter
Op wo 2 mei 2018 om 16:48 schreef Fabian Hueske <fh...@gmail.com>:
> Hi Wouter,
>
> you can try to make the SerializationSchema serializable by overriding
> Java's serialization methods writeObject() and readObject() similar as
> Flink's AvroRowSerializationSchema [1] does.
>
> Best, Fabian
>
> [1]
> https://github.com/apache/flink/blob/master/flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/AvroRowSerializationSchema.java
>
> 2018-05-02 16:34 GMT+02:00 Piotr Nowojski <pi...@data-artisans.com>:
>
>> Hi,
>>
>> My Scala knowledge is very limited (and my Scala's serialization
>> knowledge is non existent), but one way or another you have to make your
>> SerializationSchema serialisable. If indeed this is the problem, maybe a
>> better place to ask this question is on Stack Overflow or some scala
>> specific mailing list/board (unless someone else from the Flink's community
>> can provide an answer to this problem)?
>>
>> Piotrek
>>
>> On 1 May 2018, at 16:30, Wouter Zorgdrager <zo...@gmail.com> wrote:
>>
>> So, I'm still struggling with this issue. I dived a bit more into the
>> problem and I'm pretty sure that the problem is that I have to (implicitly)
>> pass the SchemaFor and RecordTo classes to my serialization schema
>> (otherwise I can't make it generic). However those class aren't
>> serializable, but of course I can't annotate them transient nor make it a
>> lazy val which gives me the current issue.
>>
>> I hope someone has some leads for me.
>>
>> Thanks!
>>
>> Op do 26 apr. 2018 om 23:03 schreef Wouter Zorgdrager <
>> zorgdragerw@gmail.com>:
>>
>>> Hi Bill,
>>>
>>> Thanks for your answer. However this proposal isn't going to solve my
>>> issue, since the problem here is that the context bounds I need to give in
>>> order to serialize it to Avro (SchemaFor, ToRecord and FromRecord) aren't
>>> serializable classes. This results in Flink not being able to serialize the
>>> KafkaProducer failing the whole job.
>>>
>>> Thanks,
>>> Wouter
>>>
>>> Op do 26 apr. 2018 om 00:42 schreef Nortman, Bill <
>>> William.Nortman@pimco.com>:
>>>
>>>> The things I would try would first in you are you class Person and
>>>> Address have getters and setters and a no argument constructor.
>>>>
>>>>
>>>>
>>>> *From:* Wouter Zorgdrager [mailto:zorgdragerw@gmail.com]
>>>> *Sent:* Wednesday, April 25, 2018 7:17 AM
>>>> *To:* user@flink.apache.org
>>>> *Subject:* KafkaProducer with generic (Avro) serialization schema
>>>>
>>>>
>>>>
>>>> Dear reader,
>>>>
>>>>
>>>>
>>>> I'm currently working on writing a KafkaProducer which is able to
>>>> serialize a generic type using avro4s.
>>>>
>>>> However this serialization schema is not serializable itself. Here is
>>>> my code for this:
>>>>
>>>>
>>>>
>>>> The serialization schema:
>>>>
>>>> class AvroSerializationSchema[IN : SchemaFor : FromRecord: ToRecord]
>>>> extends SerializationSchema[IN] {
>>>>
>>>>
>>>>
>>>> override def serialize(element: IN): Array[Byte] = {
>>>>
>>>> val byteArray = new ByteArrayOutputStream()
>>>>
>>>> val avroSer = AvroOutputStream.binary[IN](byteArray)
>>>>
>>>> avroSer.write(element)
>>>>
>>>> avroSer.flush()
>>>>
>>>> avroSer.close()
>>>>
>>>>
>>>>
>>>> return byteArray.toByteArray
>>>>
>>>> }
>>>>
>>>> }
>>>>
>>>>
>>>>
>>>> The job code:
>>>>
>>>> case class Person(name : String, age : Int, address : Address)
>>>>
>>>> case class Address(city : String, street : String)
>>>>
>>>>
>>>>
>>>> class SimpleJob {
>>>>
>>>>
>>>>
>>>> @transient
>>>>
>>>> private lazy val serSchema : AvroSerializationSchema[Person] = new
>>>> AvroSerializationSchema[Person]()
>>>>
>>>>
>>>>
>>>> def start() = {
>>>>
>>>> val testPerson = Person("Test", 100, Address("Test", "Test"))
>>>>
>>>>
>>>>
>>>> val env = StreamExecutionEnvironment.getExecutionEnvironment
>>>>
>>>>
>>>>
>>>> env.
>>>>
>>>> fromCollection(Seq(testPerson)).
>>>>
>>>> addSink(createKafkaSink())
>>>>
>>>>
>>>>
>>>> env.execute("Flink sample job")
>>>>
>>>> }
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> def createKafkaSink() : RichSinkFunction[Person] = {
>>>>
>>>> //set some properties
>>>>
>>>> val properties = new Properties()
>>>>
>>>> properties.put("bootstrap.servers", "127.0.0.01:9092
>>>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.01-3A9092&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=GR3YuCSPimKhPq1hcics55VX6yef8lIsMEyTmEGFRSc&e=>
>>>> ")
>>>>
>>>> properties.put("zookeeper.connect", "127.0.0.1:2181
>>>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.1-3A2181&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=zkbyqz0oyZOwyBZ9Hy7PpuGlTyPPB639vVkkFc6FlpQ&e=>
>>>> ")
>>>>
>>>>
>>>>
>>>> new FlinkKafkaProducer011[Person]("persons", serSchema, properties)
>>>>
>>>> }
>>>>
>>>>
>>>>
>>>> }
>>>>
>>>>
>>>>
>>>> The code does compile, however it gives the following error on
>>>> runtime: InvalidProgramException: Object
>>>> org.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper@639c2c1d
>>>> is not serializable.
>>>>
>>>>
>>>>
>>>> I assume this means that my custom SerializationSchema is not
>>>> serializable due to the use of SchemaFor, FromRecord and ToRecord.
>>>>
>>>> Anyone knows a solution or workaround?
>>>>
>>>>
>>>>
>>>> Thanks in advance!
>>>>
>>>> Wouter
>>>>
>>>> This message contains confidential information and is intended only for
>>>> the individual named. If you are not the named addressee, you should not
>>>> disseminate, distribute, alter or copy this e-mail. Please notify the
>>>> sender immediately by e-mail if you have received this e-mail by mistake
>>>> and delete this e-mail from your system. E-mail transmissions cannot be
>>>> guaranteed to be secure or without error as information could be
>>>> intercepted, corrupted, lost, destroyed, arrive late or incomplete, or
>>>> contain viruses. The sender, therefore, does not accept liability for any
>>>> errors or omissions in the contents of this message which arise during or
>>>> as a result of e-mail transmission. If verification is required, please
>>>> request a hard-copy version. This message is provided for information
>>>> purposes and should not be construed as a solicitation or offer to buy or
>>>> sell any securities or related financial instruments in any jurisdiction.
>>>> Securities are offered in the U.S. through PIMCO Investments LLC,
>>>> distributor and a company of PIMCO LLC.
>>>>
>>>> The individual providing the information herein is an employee of
>>>> Pacific Investment Management Company LLC ("PIMCO"), an SEC-registered
>>>> investment adviser. To the extent such individual advises you regarding a
>>>> PIMCO investment strategy, he or she does so as an associated person of
>>>> PIMCO. To the extent that any information is provided to you related to a
>>>> PIMCO-sponsored investment fund ("PIMCO Fund"), it is being provided to you
>>>> in the individual's capacity as a registered representative of PIMCO
>>>> Investments LLC ("PI"), an SEC-registered broker-dealer. PI is not
>>>> registered, and does not intend to register, as a municipal advisor and
>>>> therefore does not provide advice with respect to the investment of the
>>>> proceeds of municipal securities or municipal escrow investments. In
>>>> addition, unless otherwise agreed by PIMCO, this communication and any
>>>> related attachments are being provided on the express basis that they will
>>>> not cause PIMCO LLC, or its affiliates, to become an investment advice
>>>> fiduciary under ERISA or the Internal Revenue Code.
>>>>
>>>
>>
>
Re: KafkaProducer with generic (Avro) serialization schema
Posted by Fabian Hueske <fh...@gmail.com>.
Hi Wouter,
you can try to make the SerializationSchema serializable by overriding
Java's serialization methods writeObject() and readObject() similar as
Flink's AvroRowSerializationSchema [1] does.
Best, Fabian
[1]
https://github.com/apache/flink/blob/master/flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/AvroRowSerializationSchema.java
2018-05-02 16:34 GMT+02:00 Piotr Nowojski <pi...@data-artisans.com>:
> Hi,
>
> My Scala knowledge is very limited (and my Scala's serialization knowledge
> is non existent), but one way or another you have to make your
> SerializationSchema serialisable. If indeed this is the problem, maybe a
> better place to ask this question is on Stack Overflow or some scala
> specific mailing list/board (unless someone else from the Flink's community
> can provide an answer to this problem)?
>
> Piotrek
>
> On 1 May 2018, at 16:30, Wouter Zorgdrager <zo...@gmail.com> wrote:
>
> So, I'm still struggling with this issue. I dived a bit more into the
> problem and I'm pretty sure that the problem is that I have to (implicitly)
> pass the SchemaFor and RecordTo classes to my serialization schema
> (otherwise I can't make it generic). However those class aren't
> serializable, but of course I can't annotate them transient nor make it a
> lazy val which gives me the current issue.
>
> I hope someone has some leads for me.
>
> Thanks!
>
> Op do 26 apr. 2018 om 23:03 schreef Wouter Zorgdrager <
> zorgdragerw@gmail.com>:
>
>> Hi Bill,
>>
>> Thanks for your answer. However this proposal isn't going to solve my
>> issue, since the problem here is that the context bounds I need to give in
>> order to serialize it to Avro (SchemaFor, ToRecord and FromRecord) aren't
>> serializable classes. This results in Flink not being able to serialize the
>> KafkaProducer failing the whole job.
>>
>> Thanks,
>> Wouter
>>
>> Op do 26 apr. 2018 om 00:42 schreef Nortman, Bill <
>> William.Nortman@pimco.com>:
>>
>>> The things I would try would first in you are you class Person and
>>> Address have getters and setters and a no argument constructor.
>>>
>>>
>>>
>>> *From:* Wouter Zorgdrager [mailto:zorgdragerw@gmail.com]
>>> *Sent:* Wednesday, April 25, 2018 7:17 AM
>>> *To:* user@flink.apache.org
>>> *Subject:* KafkaProducer with generic (Avro) serialization schema
>>>
>>>
>>>
>>> Dear reader,
>>>
>>>
>>>
>>> I'm currently working on writing a KafkaProducer which is able to
>>> serialize a generic type using avro4s.
>>>
>>> However this serialization schema is not serializable itself. Here is my
>>> code for this:
>>>
>>>
>>>
>>> The serialization schema:
>>>
>>> class AvroSerializationSchema[IN : SchemaFor : FromRecord: ToRecord]
>>> extends SerializationSchema[IN] {
>>>
>>>
>>>
>>> override def serialize(element: IN): Array[Byte] = {
>>>
>>> val byteArray = new ByteArrayOutputStream()
>>>
>>> val avroSer = AvroOutputStream.binary[IN](byteArray)
>>>
>>> avroSer.write(element)
>>>
>>> avroSer.flush()
>>>
>>> avroSer.close()
>>>
>>>
>>>
>>> return byteArray.toByteArray
>>>
>>> }
>>>
>>> }
>>>
>>>
>>>
>>> The job code:
>>>
>>> case class Person(name : String, age : Int, address : Address)
>>>
>>> case class Address(city : String, street : String)
>>>
>>>
>>>
>>> class SimpleJob {
>>>
>>>
>>>
>>> @transient
>>>
>>> private lazy val serSchema : AvroSerializationSchema[Person] = new
>>> AvroSerializationSchema[Person]()
>>>
>>>
>>>
>>> def start() = {
>>>
>>> val testPerson = Person("Test", 100, Address("Test", "Test"))
>>>
>>>
>>>
>>> val env = StreamExecutionEnvironment.getExecutionEnvironment
>>>
>>>
>>>
>>> env.
>>>
>>> fromCollection(Seq(testPerson)).
>>>
>>> addSink(createKafkaSink())
>>>
>>>
>>>
>>> env.execute("Flink sample job")
>>>
>>> }
>>>
>>>
>>>
>>>
>>>
>>> def createKafkaSink() : RichSinkFunction[Person] = {
>>>
>>> //set some properties
>>>
>>> val properties = new Properties()
>>>
>>> properties.put("bootstrap.servers", "127.0.0.01:9092
>>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.01-3A9092&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=GR3YuCSPimKhPq1hcics55VX6yef8lIsMEyTmEGFRSc&e=>
>>> ")
>>>
>>> properties.put("zookeeper.connect", "127.0.0.1:2181
>>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.1-3A2181&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=zkbyqz0oyZOwyBZ9Hy7PpuGlTyPPB639vVkkFc6FlpQ&e=>
>>> ")
>>>
>>>
>>>
>>> new FlinkKafkaProducer011[Person]("persons", serSchema, properties)
>>>
>>> }
>>>
>>>
>>>
>>> }
>>>
>>>
>>>
>>> The code does compile, however it gives the following error on runtime: InvalidProgramException:
>>> Object org.apache.flink.streaming.util.serialization.
>>> KeyedSerializationSchemaWrapper@639c2c1d is not serializable.
>>>
>>>
>>>
>>> I assume this means that my custom SerializationSchema is not
>>> serializable due to the use of SchemaFor, FromRecord and ToRecord.
>>>
>>> Anyone knows a solution or workaround?
>>>
>>>
>>>
>>> Thanks in advance!
>>>
>>> Wouter
>>>
>>> This message contains confidential information and is intended only for
>>> the individual named. If you are not the named addressee, you should not
>>> disseminate, distribute, alter or copy this e-mail. Please notify the
>>> sender immediately by e-mail if you have received this e-mail by mistake
>>> and delete this e-mail from your system. E-mail transmissions cannot be
>>> guaranteed to be secure or without error as information could be
>>> intercepted, corrupted, lost, destroyed, arrive late or incomplete, or
>>> contain viruses. The sender, therefore, does not accept liability for any
>>> errors or omissions in the contents of this message which arise during or
>>> as a result of e-mail transmission. If verification is required, please
>>> request a hard-copy version. This message is provided for information
>>> purposes and should not be construed as a solicitation or offer to buy or
>>> sell any securities or related financial instruments in any jurisdiction.
>>> Securities are offered in the U.S. through PIMCO Investments LLC,
>>> distributor and a company of PIMCO LLC.
>>>
>>> The individual providing the information herein is an employee of
>>> Pacific Investment Management Company LLC ("PIMCO"), an SEC-registered
>>> investment adviser. To the extent such individual advises you regarding a
>>> PIMCO investment strategy, he or she does so as an associated person of
>>> PIMCO. To the extent that any information is provided to you related to a
>>> PIMCO-sponsored investment fund ("PIMCO Fund"), it is being provided to you
>>> in the individual's capacity as a registered representative of PIMCO
>>> Investments LLC ("PI"), an SEC-registered broker-dealer. PI is not
>>> registered, and does not intend to register, as a municipal advisor and
>>> therefore does not provide advice with respect to the investment of the
>>> proceeds of municipal securities or municipal escrow investments. In
>>> addition, unless otherwise agreed by PIMCO, this communication and any
>>> related attachments are being provided on the express basis that they will
>>> not cause PIMCO LLC, or its affiliates, to become an investment advice
>>> fiduciary under ERISA or the Internal Revenue Code.
>>>
>>
>
Re: KafkaProducer with generic (Avro) serialization schema
Posted by Aljoscha Krettek <al...@apache.org>.
Hi,
Piotr is right, the SerializationSchema has to be serializable, which means that the implicit values passed on for SchemaFor[IN], FromRecord[IN], and ToRecord[IN] need to be serializable. Is there no way of making those serializable? As a workaround you could think about having a factory for those types that is serializable and have the factory as the context bound and then lazily create the SchemaFor, FromRecord, and ToRecord from that.
What do you think?
Aljoscha
> On 2. May 2018, at 16:34, Piotr Nowojski <pi...@data-artisans.com> wrote:
>
> Hi,
>
> My Scala knowledge is very limited (and my Scala's serialization knowledge is non existent), but one way or another you have to make your SerializationSchema serialisable. If indeed this is the problem, maybe a better place to ask this question is on Stack Overflow or some scala specific mailing list/board (unless someone else from the Flink's community can provide an answer to this problem)?
>
> Piotrek
>
>> On 1 May 2018, at 16:30, Wouter Zorgdrager <zorgdragerw@gmail.com <ma...@gmail.com>> wrote:
>>
>> So, I'm still struggling with this issue. I dived a bit more into the problem and I'm pretty sure that the problem is that I have to (implicitly) pass the SchemaFor and RecordTo classes to my serialization schema (otherwise I can't make it generic). However those class aren't serializable, but of course I can't annotate them transient nor make it a lazy val which gives me the current issue.
>>
>> I hope someone has some leads for me.
>>
>> Thanks!
>>
>> Op do 26 apr. 2018 om 23:03 schreef Wouter Zorgdrager <zorgdragerw@gmail.com <ma...@gmail.com>>:
>> Hi Bill,
>>
>> Thanks for your answer. However this proposal isn't going to solve my issue, since the problem here is that the context bounds I need to give in order to serialize it to Avro (SchemaFor, ToRecord and FromRecord) aren't serializable classes. This results in Flink not being able to serialize the KafkaProducer failing the whole job.
>>
>> Thanks,
>> Wouter
>>
>> Op do 26 apr. 2018 om 00:42 schreef Nortman, Bill <William.Nortman@pimco.com <ma...@pimco.com>>:
>> The things I would try would first in you are you class Person and Address have getters and setters and a no argument constructor.
>>
>>
>>
>> From: Wouter Zorgdrager [mailto:zorgdragerw@gmail.com <ma...@gmail.com>]
>> Sent: Wednesday, April 25, 2018 7:17 AM
>> To: user@flink.apache.org <ma...@flink.apache.org>
>> Subject: KafkaProducer with generic (Avro) serialization schema
>>
>>
>>
>> Dear reader,
>>
>>
>>
>> I'm currently working on writing a KafkaProducer which is able to serialize a generic type using avro4s.
>>
>> However this serialization schema is not serializable itself. Here is my code for this:
>>
>>
>>
>> The serialization schema:
>>
>> class AvroSerializationSchema[IN : SchemaFor : FromRecord: ToRecord] extends SerializationSchema[IN] {
>>
>>
>>
>> override def serialize(element: IN): Array[Byte] = {
>>
>> val byteArray = new ByteArrayOutputStream()
>>
>> val avroSer = AvroOutputStream.binary[IN](byteArray)
>>
>> avroSer.write(element)
>>
>> avroSer.flush()
>>
>> avroSer.close()
>>
>>
>>
>> return byteArray.toByteArray
>>
>> }
>>
>> }
>>
>>
>>
>> The job code:
>>
>> case class Person(name : String, age : Int, address : Address)
>>
>> case class Address(city : String, street : String)
>>
>>
>>
>> class SimpleJob {
>>
>>
>>
>> @transient
>>
>> private lazy val serSchema : AvroSerializationSchema[Person] = new AvroSerializationSchema[Person]()
>>
>>
>>
>> def start() = {
>>
>> val testPerson = Person("Test", 100, Address("Test", "Test"))
>>
>>
>>
>> val env = StreamExecutionEnvironment.getExecutionEnvironment
>>
>>
>>
>> env.
>>
>> fromCollection(Seq(testPerson)).
>>
>> addSink(createKafkaSink())
>>
>>
>>
>> env.execute("Flink sample job")
>>
>> }
>>
>>
>>
>>
>>
>> def createKafkaSink() : RichSinkFunction[Person] = {
>>
>> //set some properties
>>
>> val properties = new Properties()
>>
>> properties.put("bootstrap.servers", "127.0.0.01:9092 <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.01-3A9092&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=GR3YuCSPimKhPq1hcics55VX6yef8lIsMEyTmEGFRSc&e=>")
>>
>> properties.put("zookeeper.connect", "127.0.0.1:2181 <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.1-3A2181&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=zkbyqz0oyZOwyBZ9Hy7PpuGlTyPPB639vVkkFc6FlpQ&e=>")
>>
>>
>>
>> new FlinkKafkaProducer011[Person]("persons", serSchema, properties)
>>
>> }
>>
>>
>>
>> }
>>
>>
>>
>> The code does compile, however it gives the following error on runtime: InvalidProgramException: Objectorg.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper@639c2c1d <ma...@639c2c1d> is not serializable.
>>
>>
>>
>> I assume this means that my custom SerializationSchema is not serializable due to the use of SchemaFor, FromRecord and ToRecord.
>>
>> Anyone knows a solution or workaround?
>>
>>
>>
>> Thanks in advance!
>>
>> Wouter
>>
>> This message contains confidential information and is intended only for the individual named. If you are not the named addressee, you should not disseminate, distribute, alter or copy this e-mail. Please notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system. E-mail transmissions cannot be guaranteed to be secure or without error as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender, therefore, does not accept liability for any errors or omissions in the contents of this message which arise during or as a result of e-mail transmission. If verification is required, please request a hard-copy version. This message is provided for information purposes and should not be construed as a solicitation or offer to buy or sell any securities or related financial instruments in any jurisdiction. Securities are offered in the U.S. through PIMCO Investments LLC, distributor and a company of PIMCO LLC.
>>
>> The individual providing the information herein is an employee of Pacific Investment Management Company LLC ("PIMCO"), an SEC-registered investment adviser. To the extent such individual advises you regarding a PIMCO investment strategy, he or she does so as an associated person of PIMCO. To the extent that any information is provided to you related to a PIMCO-sponsored investment fund ("PIMCO Fund"), it is being provided to you in the individual's capacity as a registered representative of PIMCO Investments LLC ("PI"), an SEC-registered broker-dealer. PI is not registered, and does not intend to register, as a municipal advisor and therefore does not provide advice with respect to the investment of the proceeds of municipal securities or municipal escrow investments. In addition, unless otherwise agreed by PIMCO, this communication and any related attachments are being provided on the express basis that they will not cause PIMCO LLC, or its affiliates, to become an investment advice fiduciary under ERISA or the Internal Revenue Code.
>>
>
Re: KafkaProducer with generic (Avro) serialization schema
Posted by Piotr Nowojski <pi...@data-artisans.com>.
Hi,
My Scala knowledge is very limited (and my Scala's serialization knowledge is non existent), but one way or another you have to make your SerializationSchema serialisable. If indeed this is the problem, maybe a better place to ask this question is on Stack Overflow or some scala specific mailing list/board (unless someone else from the Flink's community can provide an answer to this problem)?
Piotrek
> On 1 May 2018, at 16:30, Wouter Zorgdrager <zo...@gmail.com> wrote:
>
> So, I'm still struggling with this issue. I dived a bit more into the problem and I'm pretty sure that the problem is that I have to (implicitly) pass the SchemaFor and RecordTo classes to my serialization schema (otherwise I can't make it generic). However those class aren't serializable, but of course I can't annotate them transient nor make it a lazy val which gives me the current issue.
>
> I hope someone has some leads for me.
>
> Thanks!
>
> Op do 26 apr. 2018 om 23:03 schreef Wouter Zorgdrager <zorgdragerw@gmail.com <ma...@gmail.com>>:
> Hi Bill,
>
> Thanks for your answer. However this proposal isn't going to solve my issue, since the problem here is that the context bounds I need to give in order to serialize it to Avro (SchemaFor, ToRecord and FromRecord) aren't serializable classes. This results in Flink not being able to serialize the KafkaProducer failing the whole job.
>
> Thanks,
> Wouter
>
> Op do 26 apr. 2018 om 00:42 schreef Nortman, Bill <William.Nortman@pimco.com <ma...@pimco.com>>:
> The things I would try would first in you are you class Person and Address have getters and setters and a no argument constructor.
>
>
>
> From: Wouter Zorgdrager [mailto:zorgdragerw@gmail.com <ma...@gmail.com>]
> Sent: Wednesday, April 25, 2018 7:17 AM
> To: user@flink.apache.org <ma...@flink.apache.org>
> Subject: KafkaProducer with generic (Avro) serialization schema
>
>
>
> Dear reader,
>
>
>
> I'm currently working on writing a KafkaProducer which is able to serialize a generic type using avro4s.
>
> However this serialization schema is not serializable itself. Here is my code for this:
>
>
>
> The serialization schema:
>
> class AvroSerializationSchema[IN : SchemaFor : FromRecord: ToRecord] extends SerializationSchema[IN] {
>
>
>
> override def serialize(element: IN): Array[Byte] = {
>
> val byteArray = new ByteArrayOutputStream()
>
> val avroSer = AvroOutputStream.binary[IN](byteArray)
>
> avroSer.write(element)
>
> avroSer.flush()
>
> avroSer.close()
>
>
>
> return byteArray.toByteArray
>
> }
>
> }
>
>
>
> The job code:
>
> case class Person(name : String, age : Int, address : Address)
>
> case class Address(city : String, street : String)
>
>
>
> class SimpleJob {
>
>
>
> @transient
>
> private lazy val serSchema : AvroSerializationSchema[Person] = new AvroSerializationSchema[Person]()
>
>
>
> def start() = {
>
> val testPerson = Person("Test", 100, Address("Test", "Test"))
>
>
>
> val env = StreamExecutionEnvironment.getExecutionEnvironment
>
>
>
> env.
>
> fromCollection(Seq(testPerson)).
>
> addSink(createKafkaSink())
>
>
>
> env.execute("Flink sample job")
>
> }
>
>
>
>
>
> def createKafkaSink() : RichSinkFunction[Person] = {
>
> //set some properties
>
> val properties = new Properties()
>
> properties.put("bootstrap.servers", "127.0.0.01:9092 <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.01-3A9092&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=GR3YuCSPimKhPq1hcics55VX6yef8lIsMEyTmEGFRSc&e=>")
>
> properties.put("zookeeper.connect", "127.0.0.1:2181 <https://urldefense.proofpoint.com/v2/url?u=http-3A__127.0.0.1-3A2181&d=DwMFaQ&c=91HTncUBNS9Yv-Uuv2IlCA&r=uIPe81JDQPedACYiDVt5c_onxyyylzQ6P_yssgrLiLA&m=r7xfZoirhywTOErLvFFTTOxHs8dZeMd6-JtIaFdDtb0&s=zkbyqz0oyZOwyBZ9Hy7PpuGlTyPPB639vVkkFc6FlpQ&e=>")
>
>
>
> new FlinkKafkaProducer011[Person]("persons", serSchema, properties)
>
> }
>
>
>
> }
>
>
>
> The code does compile, however it gives the following error on runtime: InvalidProgramException: Objectorg.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper@639c2c1d <ma...@639c2c1d> is not serializable.
>
>
>
> I assume this means that my custom SerializationSchema is not serializable due to the use of SchemaFor, FromRecord and ToRecord.
>
> Anyone knows a solution or workaround?
>
>
>
> Thanks in advance!
>
> Wouter
>
> This message contains confidential information and is intended only for the individual named. If you are not the named addressee, you should not disseminate, distribute, alter or copy this e-mail. Please notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system. E-mail transmissions cannot be guaranteed to be secure or without error as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender, therefore, does not accept liability for any errors or omissions in the contents of this message which arise during or as a result of e-mail transmission. If verification is required, please request a hard-copy version. This message is provided for information purposes and should not be construed as a solicitation or offer to buy or sell any securities or related financial instruments in any jurisdiction. Securities are offered in the U.S. through PIMCO Investments LLC, distributor and a company of PIMCO LLC.
>
> The individual providing the information herein is an employee of Pacific Investment Management Company LLC ("PIMCO"), an SEC-registered investment adviser. To the extent such individual advises you regarding a PIMCO investment strategy, he or she does so as an associated person of PIMCO. To the extent that any information is provided to you related to a PIMCO-sponsored investment fund ("PIMCO Fund"), it is being provided to you in the individual's capacity as a registered representative of PIMCO Investments LLC ("PI"), an SEC-registered broker-dealer. PI is not registered, and does not intend to register, as a municipal advisor and therefore does not provide advice with respect to the investment of the proceeds of municipal securities or municipal escrow investments. In addition, unless otherwise agreed by PIMCO, this communication and any related attachments are being provided on the express basis that they will not cause PIMCO LLC, or its affiliates, to become an investment advice fiduciary under ERISA or the Internal Revenue Code.
>