Re: Spark DF does not rename the column

2021-01-05 Thread Mich Talebzadeh 
Yes many thanks German. Jayesh kindly reminded me about it.

It is amazing how one at times one overlooks these typos and assumes more
sophisticated investigation to the code not working.

Mich



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





*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 Mon, 4 Jan 2021 at 19:49, German Schiavon 
wrote:

> Hi,
>
> I think you have a typo :
>
> root
>
>  |-- ceated: string (nullable = true)
>
>
> and then:
>
> withColumnRenamed("created","Date Calculated").
>
>
> On Mon, 4 Jan 2021 at 19:12, Lalwani, Jayesh 
> wrote:
>
>> You don’t have a column named “created”. The column name is “ceated”,
>> without the “r”
>>
>>
>>
>> *From: *Mich Talebzadeh 
>> *Date: *Monday, January 4, 2021 at 1:06 PM
>> *To: *"user @spark" 
>> *Subject: *[EXTERNAL] Spark DF does not rename the column
>>
>>
>>
>> *CAUTION*: This email originated from outside of the organization. Do
>> not click links or open attachments unless you can confirm the sender and
>> know the content is safe.
>>
>>
>>
>> Hi,
>>
>>
>>
>>  version 2.4.3
>>
>>
>>
>> I don't know the cause of this.
>>
>>
>>
>> This renaming of DF columns used to work fine. I did couple of changes to
>> spark/Scala code not relevant to this table and it refuses to rename the
>> columns for a table!.
>>
>>
>>
>> val summaryACC = HiveContext.table("summaryACC")
>>
>>
>>
>> summaryACC.printSchema()
>>
>>
>>
>> root
>>
>>  |-- ceated: string (nullable = true)
>>
>>  |-- hashtag: string (nullable = true)
>>
>>  |-- paid: float (nullable = true)
>>
>>  |-- received: float (nullable = true)
>>
>>
>>
>> summaryACC.
>>
>> orderBy(desc("paid"),desc("received")).
>>
>> withColumnRenamed("created","Date Calculated").
>>
>> withColumnRenamed("hashtag","Who").
>>
>> withColumn(("received"),format_number(col("received"),2)).
>>
>> withColumn(("paid"),format_number(col("paid"),2)).
>>
>> withColumnRenamed("paid","paid out/GBP").
>>
>> withColumnRenamed("received","paid in/GBP").
>>
>> withColumn("paid in/GBP",when(col("paid in/GBP") ===
>> "0.00","--").otherwise(col("paid in/GBP"))).
>>
>> withColumn("paid out/GBP",when(col("paid out/GBP") ===
>> "0.00","--").otherwise(col("paid out/GBP"))).
>>
>> select("Date Calculated","Who","paid in/GBP","paid
>> out/GBP").show(1000,false)
>>
>>
>>
>> and this is the error
>>
>>
>>
>> org.apache.spark.sql.AnalysisException: cannot resolve '`Date
>> Calculated`' given input columns: [alayer.summaryacc.ceated, Who, paid
>> out/GBP, paid in/GBP];;
>>
>>
>>
>> This used to work before!
>>
>>
>>
>> ++--+---++
>>
>> |Date Calculated |Who   |paid in/GBP|paid out/GBP|
>>
>> ++--+---++
>>
>> |Mon Jan 04 14:22:17 GMT 2021|paypal|579.98 |1,526.86|
>>
>>
>>
>> Appreciate any ideas.
>>
>>
>>
>> Thanks, Mich
>>
>>
>>
>

Re: Spark DF does not rename the column

2021-01-04 Thread German Schiavon 
Hi,

I think you have a typo :

root

 |-- ceated: string (nullable = true)


and then:

withColumnRenamed("created","Date Calculated").


On Mon, 4 Jan 2021 at 19:12, Lalwani, Jayesh 
wrote:

> You don’t have a column named “created”. The column name is “ceated”,
> without the “r”
>
>
>
> *From: *Mich Talebzadeh 
> *Date: *Monday, January 4, 2021 at 1:06 PM
> *To: *"user @spark" 
> *Subject: *[EXTERNAL] Spark DF does not rename the column
>
>
>
> *CAUTION*: This email originated from outside of the organization. Do not
> click links or open attachments unless you can confirm the sender and know
> the content is safe.
>
>
>
> Hi,
>
>
>
>  version 2.4.3
>
>
>
> I don't know the cause of this.
>
>
>
> This renaming of DF columns used to work fine. I did couple of changes to
> spark/Scala code not relevant to this table and it refuses to rename the
> columns for a table!.
>
>
>
> val summaryACC = HiveContext.table("summaryACC")
>
>
>
> summaryACC.printSchema()
>
>
>
> root
>
>  |-- ceated: string (nullable = true)
>
>  |-- hashtag: string (nullable = true)
>
>  |-- paid: float (nullable = true)
>
>  |-- received: float (nullable = true)
>
>
>
> summaryACC.
>
> orderBy(desc("paid"),desc("received")).
>
> withColumnRenamed("created","Date Calculated").
>
> withColumnRenamed("hashtag","Who").
>
> withColumn(("received"),format_number(col("received"),2)).
>
> withColumn(("paid"),format_number(col("paid"),2)).
>
> withColumnRenamed("paid","paid out/GBP").
>
> withColumnRenamed("received","paid in/GBP").
>
> withColumn("paid in/GBP",when(col("paid in/GBP") ===
> "0.00","--").otherwise(col("paid in/GBP"))).
>
> withColumn("paid out/GBP",when(col("paid out/GBP") ===
> "0.00","--").otherwise(col("paid out/GBP"))).
>
> select("Date Calculated","Who","paid in/GBP","paid
> out/GBP").show(1000,false)
>
>
>
> and this is the error
>
>
>
> org.apache.spark.sql.AnalysisException: cannot resolve '`Date Calculated`'
> given input columns: [alayer.summaryacc.ceated, Who, paid out/GBP, paid
> in/GBP];;
>
>
>
> This used to work before!
>
>
>
> ++--+---++
>
> |Date Calculated |Who   |paid in/GBP|paid out/GBP|
>
> ++--+---++
>
> |Mon Jan 04 14:22:17 GMT 2021|paypal|579.98 |1,526.86|
>
>
>
> Appreciate any ideas.
>
>
>
> Thanks, Mich
>
>
>

Re: Spark DF does not rename the column

2021-01-04 Thread Mich Talebzadeh 
Thanks Jayesh for spotting that typo.


Cheers


Mich


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





*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 Mon, 4 Jan 2021 at 18:09, Lalwani, Jayesh  wrote:

> You don’t have a column named “created”. The column name is “ceated”,
> without the “r”
>
>
>
> *From: *Mich Talebzadeh 
> *Date: *Monday, January 4, 2021 at 1:06 PM
> *To: *"user @spark" 
> *Subject: *[EXTERNAL] Spark DF does not rename the column
>
>
>
> *CAUTION*: This email originated from outside of the organization. Do not
> click links or open attachments unless you can confirm the sender and know
> the content is safe.
>
>
>
> Hi,
>
>
>
>  version 2.4.3
>
>
>
> I don't know the cause of this.
>
>
>
> This renaming of DF columns used to work fine. I did couple of changes to
> spark/Scala code not relevant to this table and it refuses to rename the
> columns for a table!.
>
>
>
> val summaryACC = HiveContext.table("summaryACC")
>
>
>
> summaryACC.printSchema()
>
>
>
> root
>
>  |-- ceated: string (nullable = true)
>
>  |-- hashtag: string (nullable = true)
>
>  |-- paid: float (nullable = true)
>
>  |-- received: float (nullable = true)
>
>
>
> summaryACC.
>
> orderBy(desc("paid"),desc("received")).
>
> withColumnRenamed("created","Date Calculated").
>
> withColumnRenamed("hashtag","Who").
>
> withColumn(("received"),format_number(col("received"),2)).
>
> withColumn(("paid"),format_number(col("paid"),2)).
>
> withColumnRenamed("paid","paid out/GBP").
>
> withColumnRenamed("received","paid in/GBP").
>
> withColumn("paid in/GBP",when(col("paid in/GBP") ===
> "0.00","--").otherwise(col("paid in/GBP"))).
>
> withColumn("paid out/GBP",when(col("paid out/GBP") ===
> "0.00","--").otherwise(col("paid out/GBP"))).
>
> select("Date Calculated","Who","paid in/GBP","paid
> out/GBP").show(1000,false)
>
>
>
> and this is the error
>
>
>
> org.apache.spark.sql.AnalysisException: cannot resolve '`Date Calculated`'
> given input columns: [alayer.summaryacc.ceated, Who, paid out/GBP, paid
> in/GBP];;
>
>
>
> This used to work before!
>
>
>
> ++--+---++
>
> |Date Calculated |Who   |paid in/GBP|paid out/GBP|
>
> ++--+---++
>
> |Mon Jan 04 14:22:17 GMT 2021|paypal|579.98 |1,526.86|
>
>
>
> Appreciate any ideas.
>
>
>
> Thanks, Mich
>
>
>

Re: Spark DF does not rename the column

2021-01-04 Thread Lalwani, Jayesh 
You don’t have a column named “created”. The column name is “ceated”, without 
the “r”

From: Mich Talebzadeh 
Date: Monday, January 4, 2021 at 1:06 PM
To: "user @spark" 
Subject: [EXTERNAL] Spark DF does not rename the column


CAUTION: This email originated from outside of the organization. Do not click 
links or open attachments unless you can confirm the sender and know the 
content is safe.


Hi,

 version 2.4.3

I don't know the cause of this.

This renaming of DF columns used to work fine. I did couple of changes to 
spark/Scala code not relevant to this table and it refuses to rename the 
columns for a table!.

val summaryACC = HiveContext.table("summaryACC")

summaryACC.printSchema()

root
 |-- ceated: string (nullable = true)
 |-- hashtag: string (nullable = true)
 |-- paid: float (nullable = true)
 |-- received: float (nullable = true)

summaryACC.
orderBy(desc("paid"),desc("received")).
withColumnRenamed("created","Date Calculated").
withColumnRenamed("hashtag","Who").
withColumn(("received"),format_number(col("received"),2)).
withColumn(("paid"),format_number(col("paid"),2)).
withColumnRenamed("paid","paid out/GBP").
withColumnRenamed("received","paid in/GBP").
withColumn("paid in/GBP",when(col("paid in/GBP") === 
"0.00","--").otherwise(col("paid in/GBP"))).
withColumn("paid out/GBP",when(col("paid out/GBP") === 
"0.00","--").otherwise(col("paid out/GBP"))).
select("Date Calculated","Who","paid in/GBP","paid 
out/GBP").show(1000,false)

and this is the error

org.apache.spark.sql.AnalysisException: cannot resolve '`Date Calculated`' 
given input columns: [alayer.summaryacc.ceated, Who, paid out/GBP, paid 
in/GBP];;



This used to work before!



++--+---++

|Date Calculated |Who   |paid in/GBP|paid out/GBP|

++--+---++

|Mon Jan 04 14:22:17 GMT 2021|paypal|579.98 |1,526.86|



Appreciate any ideas.



Thanks, Mich