[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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org