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Posted to user@spark.apache.org by Chetan Khatri <ch...@gmail.com> on 2020/05/09 21:50:43 UTC
AnalysisException - Infer schema for the Parquet path
Hi Spark Users,
I've a spark job where I am reading the parquet path, and that parquet path
data is generated by other systems, some of the parquet paths doesn't
contains any data which is possible. is there a any way to read the parquet
if no data found I can create a dummy dataframe and go ahead.
One way is to check path exists like
val conf = spark.sparkContext.hadoopConfiguration
val fs = org.apache.hadoop.fs.FileSystem.get(conf)
val currentAreaExists = fs.exists(new
org.apache.hadoop.fs.Path(consumableCurrentArea))
But I don't want to check this for 300 parquets, just if data doesn't exist
in the parquet path go with the dummy parquet / custom DataFrame
AnalysisException: u'Unable to infer schema for Parquet. It must be
specified manually.;'
Thanks
Re: AnalysisException - Infer schema for the Parquet path
Posted by Chetan Khatri <ch...@gmail.com>.
Thanks Mich, Nilesh.
What is also working is create schema object and provide at .schema(X) in
spark.read. statement.
Thanks a lot.
On Sun, May 10, 2020 at 2:37 AM Nilesh Kuchekar <ku...@gmail.com>
wrote:
> Hi Chetan,
>
> You can have a static parquet file created, and when you
> create a data frame you can pass the location of both the files, with
> option mergeSchema true. This will always fetch you a dataframe even if the
> original file is not present.
>
> Kuchekar, Nilesh
>
>
> On Sat, May 9, 2020 at 10:46 PM Mich Talebzadeh <mi...@gmail.com>
> wrote:
>
>> Have you tried catching error when you are creating a dataframe?
>>
>> import scala.util.{Try, Success, Failure}
>> val df = Try(spark.read.
>> format("com.databricks.spark.xml").
>> option("rootTag", "hierarchy").
>> option("rowTag", "sms_request").
>> load("/tmp/broadcast.xml")) match {
>> case Success(df) => df
>> case Failure(exception) => throw new Exception("foo")
>> }
>> HTH
>>
>> Dr Mich Talebzadeh
>>
>>
>>
>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>
>>
>>
>> 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 Sat, 9 May 2020 at 22:51, Chetan Khatri <ch...@gmail.com>
>> wrote:
>>
>>> Hi Spark Users,
>>>
>>> I've a spark job where I am reading the parquet path, and that parquet
>>> path data is generated by other systems, some of the parquet paths doesn't
>>> contains any data which is possible. is there a any way to read the parquet
>>> if no data found I can create a dummy dataframe and go ahead.
>>>
>>> One way is to check path exists like
>>>
>>> val conf = spark.sparkContext.hadoopConfiguration
>>> val fs = org.apache.hadoop.fs.FileSystem.get(conf)
>>> val currentAreaExists = fs.exists(new
>>> org.apache.hadoop.fs.Path(consumableCurrentArea))
>>>
>>> But I don't want to check this for 300 parquets, just if data doesn't
>>> exist in the parquet path go with the dummy parquet / custom DataFrame
>>>
>>> AnalysisException: u'Unable to infer schema for Parquet. It must be
>>> specified manually.;'
>>>
>>> Thanks
>>>
>>
Re: AnalysisException - Infer schema for the Parquet path
Posted by Nilesh Kuchekar <ku...@gmail.com>.
Hi Chetan,
You can have a static parquet file created, and when you
create a data frame you can pass the location of both the files, with
option mergeSchema true. This will always fetch you a dataframe even if the
original file is not present.
Kuchekar, Nilesh
On Sat, May 9, 2020 at 10:46 PM Mich Talebzadeh <mi...@gmail.com>
wrote:
> Have you tried catching error when you are creating a dataframe?
>
> import scala.util.{Try, Success, Failure}
> val df = Try(spark.read.
> format("com.databricks.spark.xml").
> option("rootTag", "hierarchy").
> option("rowTag", "sms_request").
> load("/tmp/broadcast.xml")) match {
> case Success(df) => df
> case Failure(exception) => throw new Exception("foo")
> }
> HTH
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> 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 Sat, 9 May 2020 at 22:51, Chetan Khatri <ch...@gmail.com>
> wrote:
>
>> Hi Spark Users,
>>
>> I've a spark job where I am reading the parquet path, and that parquet
>> path data is generated by other systems, some of the parquet paths doesn't
>> contains any data which is possible. is there a any way to read the parquet
>> if no data found I can create a dummy dataframe and go ahead.
>>
>> One way is to check path exists like
>>
>> val conf = spark.sparkContext.hadoopConfiguration
>> val fs = org.apache.hadoop.fs.FileSystem.get(conf)
>> val currentAreaExists = fs.exists(new
>> org.apache.hadoop.fs.Path(consumableCurrentArea))
>>
>> But I don't want to check this for 300 parquets, just if data doesn't
>> exist in the parquet path go with the dummy parquet / custom DataFrame
>>
>> AnalysisException: u'Unable to infer schema for Parquet. It must be
>> specified manually.;'
>>
>> Thanks
>>
>
Re: AnalysisException - Infer schema for the Parquet path
Posted by Mich Talebzadeh <mi...@gmail.com>.
Have you tried catching error when you are creating a dataframe?
import scala.util.{Try, Success, Failure}
val df = Try(spark.read.
format("com.databricks.spark.xml").
option("rootTag", "hierarchy").
option("rowTag", "sms_request").
load("/tmp/broadcast.xml")) match {
case Success(df) => df
case Failure(exception) => throw new Exception("foo")
}
HTH
Dr Mich Talebzadeh
LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
<https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
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 Sat, 9 May 2020 at 22:51, Chetan Khatri <ch...@gmail.com>
wrote:
> Hi Spark Users,
>
> I've a spark job where I am reading the parquet path, and that parquet
> path data is generated by other systems, some of the parquet paths doesn't
> contains any data which is possible. is there a any way to read the parquet
> if no data found I can create a dummy dataframe and go ahead.
>
> One way is to check path exists like
>
> val conf = spark.sparkContext.hadoopConfiguration
> val fs = org.apache.hadoop.fs.FileSystem.get(conf)
> val currentAreaExists = fs.exists(new
> org.apache.hadoop.fs.Path(consumableCurrentArea))
>
> But I don't want to check this for 300 parquets, just if data doesn't
> exist in the parquet path go with the dummy parquet / custom DataFrame
>
> AnalysisException: u'Unable to infer schema for Parquet. It must be
> specified manually.;'
>
> Thanks
>