Re: Spark Scala reading from Google Cloud BigQuery table throws error

[Mich Talebzadeh]

Thanks Sam. Looks interesting. I will have a look in details and let you
know.

Best,


Dr Mich Talebzadeh



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On Wed, 19 Dec 2018 at 08:36, Sam Elamin  wrote:

> Hi Mich
>
> I wrote a connector to make it easier to connect Bigquery and Spark
>
> Have a look here https://github.com/samelamin/spark-bigquery/
>
> Your feedback is always welcome
>
> Kind Regards
> Sam
>
> On Tue, Dec 18, 2018 at 7:46 PM Mich Talebzadeh 
> wrote:
>
>> Thanks Jorn. I will try that. Requires installing sbt etc on ephemeral
>> compute server in Google Cloud to built an uber jar file.
>>
>>
>>
>> Dr Mich Talebzadeh
>>
>>
>>
>> LinkedIn * 
>> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>> *
>>
>>
>>
>> http://talebzadehmich.wordpress.com
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Tue, 18 Dec 2018 at 11:16, Jörn Franke  wrote:
>>
>>> Maybe the guava version in your spark lib folder is not compatible (if
>>> your Spark version has a guava library)? In this case i propose to create a
>>> fat/uber jar potentially with a shaded guava dependency.
>>>
>>> Am 18.12.2018 um 11:26 schrieb Mich Talebzadeh <
>>> mich.talebza...@gmail.com>:
>>>
>>> Hi,
>>>
>>> I am writing a small test code in spark-shell with attached jar
>>> dependencies
>>>
>>> spark-shell --jars
>>> /home/hduser/jars/bigquery-connector-0.13.4-hadoop3.jar,/home/hduser/jars/gcs-connector-1.9.4-hadoop3.jar,/home/hduser/jars/other/guava-19.0.jar,/home/hduser/jars/google-api-client-1.4.1-beta.jar,/home/hduser/jars/google-api-client-json-1.2.3-alpha.jar,/home/hduser/jars/google-api-services-bigquery-v2-rev20181202-1.27.0.jar
>>>
>>>  to read an already existing table in Google BigQuery as follows:
>>>
>>> import com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration
>>> import com.google.cloud.hadoop.io.bigquery.BigQueryFileFormat
>>> import com.google.cloud.hadoop.io.bigquery.GsonBigQueryInputFormat
>>> import
>>> com.google.cloud.hadoop.io.bigquery.output.BigQueryOutputConfiguration
>>> import
>>> com.google.cloud.hadoop.io.bigquery.output.IndirectBigQueryOutputFormat
>>> import com.google.gson.JsonObject
>>> import org.apache.hadoop.io.LongWritable
>>> import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
>>> // Assumes you have a spark context (sc) -- running from spark-shell
>>> REPL.
>>> // Marked as transient since configuration is not Serializable. This
>>> should
>>> // only be necessary in spark-shell REPL.
>>> @transient
>>> val conf = sc.hadoopConfiguration
>>> // Input parameters.
>>> val fullyQualifiedInputTableId = "axial-glow-224522.accounts.ll_18740868"
>>> val projectId = conf.get("fs.gs.project.id")
>>> val bucket = conf.get("fs.gs.system.bucket")
>>> // Input configuration.
>>> conf.set(BigQueryConfiguration.PROJECT_ID_KEY, projectId)
>>> conf.set(BigQueryConfiguration.GCS_BUCKET_KEY, bucket)
>>> BigQueryConfiguration.configureBigQueryInput(conf,
>>> fullyQualifiedInputTableId)
>>>
>>> The problem I have is that even after loading jars with spark-shell
>>> --jar
>>>
>>> I am getting the following error at the last line
>>>
>>> scala> BigQueryConfiguration.configureBigQueryInput(conf,
>>> fullyQualifiedInputTableId)
>>>
>>> java.lang.NoSuchMethodError:
>>> com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)V
>>>   at
>>> com.google.cloud.hadoop.io.bigquery.BigQueryStrings.parseTableReference(BigQueryStrings.java:68)
>>>   at
>>> com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration.configureBigQueryInput(BigQueryConfiguration.java:260)
>>>   ... 49 elided
>>>
>>> It says it cannot find method
>>>
>>> java.lang.NoSuchMethodError:
>>> com.google.common.base.Preconditions.checkArgument
>>>
>>> but I checked it and it is in the following jar file
>>>
>>> jar tvf guava-19.0.jar| grep common.base.Preconditions
>>>   5249 Wed Dec 09 15:58:14 UTC 2015
>>> com/google/common/base/Preconditions.class
>>>
>>> I have used different version of guava jar files but none works!
>>>
>>> The code is based on the following:
>>>
>>>

Re: Spark Scala reading from Google Cloud BigQuery table throws error

[Sam Elamin]

Hi Mich

I wrote a connector to make it easier to connect Bigquery and Spark

Have a look here https://github.com/samelamin/spark-bigquery/

Your feedback is always welcome

Kind Regards
Sam

On Tue, Dec 18, 2018 at 7:46 PM Mich Talebzadeh 
wrote:

> Thanks Jorn. I will try that. Requires installing sbt etc on ephemeral
> compute server in Google Cloud to built an uber jar file.
>
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> *
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Tue, 18 Dec 2018 at 11:16, Jörn Franke  wrote:
>
>> Maybe the guava version in your spark lib folder is not compatible (if
>> your Spark version has a guava library)? In this case i propose to create a
>> fat/uber jar potentially with a shaded guava dependency.
>>
>> Am 18.12.2018 um 11:26 schrieb Mich Talebzadeh > >:
>>
>> Hi,
>>
>> I am writing a small test code in spark-shell with attached jar
>> dependencies
>>
>> spark-shell --jars
>> /home/hduser/jars/bigquery-connector-0.13.4-hadoop3.jar,/home/hduser/jars/gcs-connector-1.9.4-hadoop3.jar,/home/hduser/jars/other/guava-19.0.jar,/home/hduser/jars/google-api-client-1.4.1-beta.jar,/home/hduser/jars/google-api-client-json-1.2.3-alpha.jar,/home/hduser/jars/google-api-services-bigquery-v2-rev20181202-1.27.0.jar
>>
>>  to read an already existing table in Google BigQuery as follows:
>>
>> import com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration
>> import com.google.cloud.hadoop.io.bigquery.BigQueryFileFormat
>> import com.google.cloud.hadoop.io.bigquery.GsonBigQueryInputFormat
>> import
>> com.google.cloud.hadoop.io.bigquery.output.BigQueryOutputConfiguration
>> import
>> com.google.cloud.hadoop.io.bigquery.output.IndirectBigQueryOutputFormat
>> import com.google.gson.JsonObject
>> import org.apache.hadoop.io.LongWritable
>> import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
>> // Assumes you have a spark context (sc) -- running from spark-shell REPL.
>> // Marked as transient since configuration is not Serializable. This
>> should
>> // only be necessary in spark-shell REPL.
>> @transient
>> val conf = sc.hadoopConfiguration
>> // Input parameters.
>> val fullyQualifiedInputTableId = "axial-glow-224522.accounts.ll_18740868"
>> val projectId = conf.get("fs.gs.project.id")
>> val bucket = conf.get("fs.gs.system.bucket")
>> // Input configuration.
>> conf.set(BigQueryConfiguration.PROJECT_ID_KEY, projectId)
>> conf.set(BigQueryConfiguration.GCS_BUCKET_KEY, bucket)
>> BigQueryConfiguration.configureBigQueryInput(conf,
>> fullyQualifiedInputTableId)
>>
>> The problem I have is that even after loading jars with spark-shell --jar
>>
>> I am getting the following error at the last line
>>
>> scala> BigQueryConfiguration.configureBigQueryInput(conf,
>> fullyQualifiedInputTableId)
>>
>> java.lang.NoSuchMethodError:
>> com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)V
>>   at
>> com.google.cloud.hadoop.io.bigquery.BigQueryStrings.parseTableReference(BigQueryStrings.java:68)
>>   at
>> com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration.configureBigQueryInput(BigQueryConfiguration.java:260)
>>   ... 49 elided
>>
>> It says it cannot find method
>>
>> java.lang.NoSuchMethodError:
>> com.google.common.base.Preconditions.checkArgument
>>
>> but I checked it and it is in the following jar file
>>
>> jar tvf guava-19.0.jar| grep common.base.Preconditions
>>   5249 Wed Dec 09 15:58:14 UTC 2015
>> com/google/common/base/Preconditions.class
>>
>> I have used different version of guava jar files but none works!
>>
>> The code is based on the following:
>>
>>
>> https://cloud.google.com/dataproc/docs/tutorials/bigquery-connector-spark-example
>>
>> Thanks
>>
>> Dr Mich Talebzadeh
>>
>>
>>
>> LinkedIn * 
>> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>> *
>>
>>
>>
>> http://talebzadehmich.wordpress.com
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>

Re: Spark Scala reading from Google Cloud BigQuery table throws error

[Mich Talebzadeh]

Thanks Jorn. I will try that. Requires installing sbt etc on ephemeral
compute server in Google Cloud to built an uber jar file.



Dr Mich Talebzadeh



LinkedIn * 
https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
*



http://talebzadehmich.wordpress.com


*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.




On Tue, 18 Dec 2018 at 11:16, Jörn Franke  wrote:

> Maybe the guava version in your spark lib folder is not compatible (if
> your Spark version has a guava library)? In this case i propose to create a
> fat/uber jar potentially with a shaded guava dependency.
>
> Am 18.12.2018 um 11:26 schrieb Mich Talebzadeh  >:
>
> Hi,
>
> I am writing a small test code in spark-shell with attached jar
> dependencies
>
> spark-shell --jars
> /home/hduser/jars/bigquery-connector-0.13.4-hadoop3.jar,/home/hduser/jars/gcs-connector-1.9.4-hadoop3.jar,/home/hduser/jars/other/guava-19.0.jar,/home/hduser/jars/google-api-client-1.4.1-beta.jar,/home/hduser/jars/google-api-client-json-1.2.3-alpha.jar,/home/hduser/jars/google-api-services-bigquery-v2-rev20181202-1.27.0.jar
>
>  to read an already existing table in Google BigQuery as follows:
>
> import com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration
> import com.google.cloud.hadoop.io.bigquery.BigQueryFileFormat
> import com.google.cloud.hadoop.io.bigquery.GsonBigQueryInputFormat
> import
> com.google.cloud.hadoop.io.bigquery.output.BigQueryOutputConfiguration
> import
> com.google.cloud.hadoop.io.bigquery.output.IndirectBigQueryOutputFormat
> import com.google.gson.JsonObject
> import org.apache.hadoop.io.LongWritable
> import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
> // Assumes you have a spark context (sc) -- running from spark-shell REPL.
> // Marked as transient since configuration is not Serializable. This should
> // only be necessary in spark-shell REPL.
> @transient
> val conf = sc.hadoopConfiguration
> // Input parameters.
> val fullyQualifiedInputTableId = "axial-glow-224522.accounts.ll_18740868"
> val projectId = conf.get("fs.gs.project.id")
> val bucket = conf.get("fs.gs.system.bucket")
> // Input configuration.
> conf.set(BigQueryConfiguration.PROJECT_ID_KEY, projectId)
> conf.set(BigQueryConfiguration.GCS_BUCKET_KEY, bucket)
> BigQueryConfiguration.configureBigQueryInput(conf,
> fullyQualifiedInputTableId)
>
> The problem I have is that even after loading jars with spark-shell --jar
>
> I am getting the following error at the last line
>
> scala> BigQueryConfiguration.configureBigQueryInput(conf,
> fullyQualifiedInputTableId)
>
> java.lang.NoSuchMethodError:
> com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)V
>   at
> com.google.cloud.hadoop.io.bigquery.BigQueryStrings.parseTableReference(BigQueryStrings.java:68)
>   at
> com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration.configureBigQueryInput(BigQueryConfiguration.java:260)
>   ... 49 elided
>
> It says it cannot find method
>
> java.lang.NoSuchMethodError:
> com.google.common.base.Preconditions.checkArgument
>
> but I checked it and it is in the following jar file
>
> jar tvf guava-19.0.jar| grep common.base.Preconditions
>   5249 Wed Dec 09 15:58:14 UTC 2015
> com/google/common/base/Preconditions.class
>
> I have used different version of guava jar files but none works!
>
> The code is based on the following:
>
>
> https://cloud.google.com/dataproc/docs/tutorials/bigquery-connector-spark-example
>
> Thanks
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> *
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>

Re: Spark Scala reading from Google Cloud BigQuery table throws error

[Jörn Franke]

Maybe the guava version in your spark lib folder is not compatible (if your 
Spark version has a guava library)? In this case i propose to create a fat/uber 
jar potentially with a shaded guava dependency.

> Am 18.12.2018 um 11:26 schrieb Mich Talebzadeh :
> 
> Hi,
> 
> I am writing a small test code in spark-shell with attached jar dependencies
> 
> spark-shell --jars 
> /home/hduser/jars/bigquery-connector-0.13.4-hadoop3.jar,/home/hduser/jars/gcs-connector-1.9.4-hadoop3.jar,/home/hduser/jars/other/guava-19.0.jar,/home/hduser/jars/google-api-client-1.4.1-beta.jar,/home/hduser/jars/google-api-client-json-1.2.3-alpha.jar,/home/hduser/jars/google-api-services-bigquery-v2-rev20181202-1.27.0.jar
> 
>  to read an already existing table in Google BigQuery as follows:
> 
> import com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration
> import com.google.cloud.hadoop.io.bigquery.BigQueryFileFormat
> import com.google.cloud.hadoop.io.bigquery.GsonBigQueryInputFormat
> import com.google.cloud.hadoop.io.bigquery.output.BigQueryOutputConfiguration
> import com.google.cloud.hadoop.io.bigquery.output.IndirectBigQueryOutputFormat
> import com.google.gson.JsonObject
> import org.apache.hadoop.io.LongWritable
> import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
> // Assumes you have a spark context (sc) -- running from spark-shell REPL.
> // Marked as transient since configuration is not Serializable. This should
> // only be necessary in spark-shell REPL.
> @transient
> val conf = sc.hadoopConfiguration
> // Input parameters.
> val fullyQualifiedInputTableId = "axial-glow-224522.accounts.ll_18740868"
> val projectId = conf.get("fs.gs.project.id")
> val bucket = conf.get("fs.gs.system.bucket")
> // Input configuration.
> conf.set(BigQueryConfiguration.PROJECT_ID_KEY, projectId)
> conf.set(BigQueryConfiguration.GCS_BUCKET_KEY, bucket)
> BigQueryConfiguration.configureBigQueryInput(conf, fullyQualifiedInputTableId)
> 
> The problem I have is that even after loading jars with spark-shell --jar 
> 
> I am getting the following error at the last line
> 
> scala> BigQueryConfiguration.configureBigQueryInput(conf, 
> fullyQualifiedInputTableId)
> 
> java.lang.NoSuchMethodError: 
> com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)V
>   at 
> com.google.cloud.hadoop.io.bigquery.BigQueryStrings.parseTableReference(BigQueryStrings.java:68)
>   at 
> com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration.configureBigQueryInput(BigQueryConfiguration.java:260)
>   ... 49 elided
> 
> It says it cannot find method
> 
> java.lang.NoSuchMethodError: 
> com.google.common.base.Preconditions.checkArgument
> 
> but I checked it and it is in the following jar file
> 
> jar tvf guava-19.0.jar| grep common.base.Preconditions
>   5249 Wed Dec 09 15:58:14 UTC 2015 com/google/common/base/Preconditions.class
> 
> I have used different version of guava jar files but none works!
> 
> The code is based on the following:
> 
> https://cloud.google.com/dataproc/docs/tutorials/bigquery-connector-spark-example
> 
> Thanks
> Dr Mich Talebzadeh
>  
> LinkedIn  
> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>  
> http://talebzadehmich.wordpress.com
> 
> Disclaimer: Use it at your own risk. Any and all responsibility for any loss, 
> damage or destruction of data or any other property which may arise from 
> relying on this email's technical content is explicitly disclaimed. The 
> author will in no case be liable for any monetary damages arising from such 
> loss, damage or destruction.
>  

Spark Scala reading from Google Cloud BigQuery table throws error

[Mich Talebzadeh]

Hi,

I am writing a small test code in spark-shell with attached jar dependencies

spark-shell --jars
/home/hduser/jars/bigquery-connector-0.13.4-hadoop3.jar,/home/hduser/jars/gcs-connector-1.9.4-hadoop3.jar,/home/hduser/jars/other/guava-19.0.jar,/home/hduser/jars/google-api-client-1.4.1-beta.jar,/home/hduser/jars/google-api-client-json-1.2.3-alpha.jar,/home/hduser/jars/google-api-services-bigquery-v2-rev20181202-1.27.0.jar

 to read an already existing table in Google BigQuery as follows:

import com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration
import com.google.cloud.hadoop.io.bigquery.BigQueryFileFormat
import com.google.cloud.hadoop.io.bigquery.GsonBigQueryInputFormat
import
com.google.cloud.hadoop.io.bigquery.output.BigQueryOutputConfiguration
import
com.google.cloud.hadoop.io.bigquery.output.IndirectBigQueryOutputFormat
import com.google.gson.JsonObject
import org.apache.hadoop.io.LongWritable
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
// Assumes you have a spark context (sc) -- running from spark-shell REPL.
// Marked as transient since configuration is not Serializable. This should
// only be necessary in spark-shell REPL.
@transient
val conf = sc.hadoopConfiguration
// Input parameters.
val fullyQualifiedInputTableId = "axial-glow-224522.accounts.ll_18740868"
val projectId = conf.get("fs.gs.project.id")
val bucket = conf.get("fs.gs.system.bucket")
// Input configuration.
conf.set(BigQueryConfiguration.PROJECT_ID_KEY, projectId)
conf.set(BigQueryConfiguration.GCS_BUCKET_KEY, bucket)
BigQueryConfiguration.configureBigQueryInput(conf,
fullyQualifiedInputTableId)

The problem I have is that even after loading jars with spark-shell --jar

I am getting the following error at the last line

scala> BigQueryConfiguration.configureBigQueryInput(conf,
fullyQualifiedInputTableId)

java.lang.NoSuchMethodError:
com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)V
  at
com.google.cloud.hadoop.io.bigquery.BigQueryStrings.parseTableReference(BigQueryStrings.java:68)
  at
com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration.configureBigQueryInput(BigQueryConfiguration.java:260)
  ... 49 elided

It says it cannot find method

java.lang.NoSuchMethodError:
com.google.common.base.Preconditions.checkArgument

but I checked it and it is in the following jar file

jar tvf guava-19.0.jar| grep common.base.Preconditions
  5249 Wed Dec 09 15:58:14 UTC 2015
com/google/common/base/Preconditions.class

I have used different version of guava jar files but none works!

The code is based on the following:

https://cloud.google.com/dataproc/docs/tutorials/bigquery-connector-spark-example

Thanks

Dr Mich Talebzadeh



LinkedIn * 
https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
*



http://talebzadehmich.wordpress.com


*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.