[jira] [Updated] (SPARK-6189) Pandas to DataFrame conversion should check field names for periods
[
https://issues.apache.org/jira/browse/SPARK-6189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-6189:
Target Version/s: 1.6.0 (was: 1.5.0)
> Pandas to DataFrame conversion should check field names for periods
> ---
>
> Key: SPARK-6189
> URL: https://issues.apache.org/jira/browse/SPARK-6189
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.3.0
>Reporter: Joseph K. Bradley
>Priority: Minor
>
> Issue I ran into: I imported an R dataset in CSV format into a Pandas
> DataFrame and then use toDF() to convert that into a Spark DataFrame. The R
> dataset had a column with a period in it (column "GNP.deflator" in the
> "longley" dataset). When I tried to select it using the Spark DataFrame DSL,
> I could not because the DSL thought the period was selecting a field within
> GNP.
> Also, since "GNP" is another field's name, it gives an error which could be
> obscure to users, complaining:
> {code}
> org.apache.spark.sql.AnalysisException: GetField is not valid on fields of
> type DoubleType;
> {code}
> We should either handle periods in column names or check during loading and
> warn/fail gracefully.
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[jira] [Updated] (SPARK-6189) Pandas to DataFrame conversion should check field names for periods
[
https://issues.apache.org/jira/browse/SPARK-6189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-6189:
Target Version/s: 1.5.0 (was: 1.4.0)
> Pandas to DataFrame conversion should check field names for periods
> ---
>
> Key: SPARK-6189
> URL: https://issues.apache.org/jira/browse/SPARK-6189
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.3.0
>Reporter: Joseph K. Bradley
>Priority: Minor
>
> Issue I ran into: I imported an R dataset in CSV format into a Pandas
> DataFrame and then use toDF() to convert that into a Spark DataFrame. The R
> dataset had a column with a period in it (column "GNP.deflator" in the
> "longley" dataset). When I tried to select it using the Spark DataFrame DSL,
> I could not because the DSL thought the period was selecting a field within
> GNP.
> Also, since "GNP" is another field's name, it gives an error which could be
> obscure to users, complaining:
> {code}
> org.apache.spark.sql.AnalysisException: GetField is not valid on fields of
> type DoubleType;
> {code}
> We should either handle periods in column names or check during loading and
> warn/fail gracefully.
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[jira] [Updated] (SPARK-6189) Pandas to DataFrame conversion should check field names for periods
[
https://issues.apache.org/jira/browse/SPARK-6189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-6189:
Component/s: (was: DataFrame)
> Pandas to DataFrame conversion should check field names for periods
> ---
>
> Key: SPARK-6189
> URL: https://issues.apache.org/jira/browse/SPARK-6189
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.3.0
>Reporter: Joseph K. Bradley
>Priority: Minor
>
> Issue I ran into: I imported an R dataset in CSV format into a Pandas
> DataFrame and then use toDF() to convert that into a Spark DataFrame. The R
> dataset had a column with a period in it (column "GNP.deflator" in the
> "longley" dataset). When I tried to select it using the Spark DataFrame DSL,
> I could not because the DSL thought the period was selecting a field within
> GNP.
> Also, since "GNP" is another field's name, it gives an error which could be
> obscure to users, complaining:
> {code}
> org.apache.spark.sql.AnalysisException: GetField is not valid on fields of
> type DoubleType;
> {code}
> We should either handle periods in column names or check during loading and
> warn/fail gracefully.
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[jira] [Updated] (SPARK-6189) Pandas to DataFrame conversion should check field names for periods
[
https://issues.apache.org/jira/browse/SPARK-6189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Patrick Wendell updated SPARK-6189:
---
Component/s: DataFrame
> Pandas to DataFrame conversion should check field names for periods
> ---
>
> Key: SPARK-6189
> URL: https://issues.apache.org/jira/browse/SPARK-6189
> Project: Spark
> Issue Type: Improvement
> Components: DataFrame, SQL
>Affects Versions: 1.3.0
>Reporter: Joseph K. Bradley
>Priority: Minor
>
> Issue I ran into: I imported an R dataset in CSV format into a Pandas
> DataFrame and then use toDF() to convert that into a Spark DataFrame. The R
> dataset had a column with a period in it (column "GNP.deflator" in the
> "longley" dataset). When I tried to select it using the Spark DataFrame DSL,
> I could not because the DSL thought the period was selecting a field within
> GNP.
> Also, since "GNP" is another field's name, it gives an error which could be
> obscure to users, complaining:
> {code}
> org.apache.spark.sql.AnalysisException: GetField is not valid on fields of
> type DoubleType;
> {code}
> We should either handle periods in column names or check during loading and
> warn/fail gracefully.
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