Comments (5)
Ah, sorry, I didn't update the README for version 0.8.3.
Try that version, it should be able to read from Hadoop because of this: #5
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Hi,
When i am trying to use 0.8.3 api as suggested by you for any column x i am getting an additional column x_color. Can you please help me, how can i remove these unnecessary columns.
sample schema generated by your API:
root
|-- name: string (nullable = true)
|-- age: double (nullable = true)
|-- location: string (nullable = true)
|-- salary: double (nullable = true)
|-- name_color: string (nullable = true)
|-- age_color: string (nullable = true)
|-- location_color: string (nullable = true)
|-- salary_color: string (nullable = true)
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See the addColorColumns
option in the README.
from spark-excel.
Getting this exception when trying to fetch the first row out of data frame
xyz.xlsx
PFA the excel file.
root
|-- name: string (nullable = true)
|-- age: double (nullable = true)
|-- location: string (nullable = true)
|-- salary: double (nullable = true)
Exception in thread "main" java.lang.RuntimeException: Unknown cell type 2 for TRUE()
at com.crealytics.spark.excel.ExcelRelation$$anonfun$1$$anonfun$3.apply(ExcelRelation.scala:66)
at com.crealytics.spark.excel.ExcelRelation$$anonfun$1$$anonfun$3.apply(ExcelRelation.scala:60)
at com.crealytics.spark.excel.ExcelRelation$$anonfun$1$$anonfun$apply$2.apply(ExcelRelation.scala:82)
at com.crealytics.spark.excel.ExcelRelation$$anonfun$1$$anonfun$apply$2.apply(ExcelRelation.scala:77)
at com.crealytics.spark.excel.ExcelRelation$$anonfun$5$$anonfun$apply$3.apply(ExcelRelation.scala:86)
at com.crealytics.spark.excel.ExcelRelation$$anonfun$5$$anonfun$apply$3.apply(ExcelRelation.scala:86)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
Code:
DataFrame df = sqlContext.read().format("com.crealytics.spark.excel").option("location", "hdfs://localhost:54310/home/impadmin/xyz.xlsx")
.option("sheetName", "Sheet1").option("useHeader", "true").option("treatEmptyValuesAsNulls", "true").option("inferSchema", "true")
.option("addColorColumns", "false").load();
System.out.println("************ " + df.first());
from spark-excel.
Hey @raviuiit, can you create a new issue if it's a different problem?
from spark-excel.
Related Issues (20)
- [BUG] Old excel files are not supported. HOT 1
- [BUG] <title>Spark Excel reads all Excel files under the file HOT 3
- [BUG] spark-excel library not working as a workspace library HOT 2
- New Case on Large Number Being Captured As Scientific Notation
- [BUG] last Columns with first line value empty not being read from .xlsx HOT 3
- support spark 3.5 HOT 3
- Incorrect Data Frame creation HOT 1
- [BUG] ClassNotFoundException for 'excel.DefaultSource' while using API V2 HOT 13
- Mentioned jar for scala 2.12 does not exist HOT 2
- [BUG] <infer schema should not include the auto generated columns>
- [BUG] Spark Excel is Incompatible with AWS EMR v6.13 and higher HOT 2
- [BUG] ClassCastException: scala.Some cannot be cast to [Lorg.apache.spark.sql.catalyst.InternalRow HOT 6
- [BUG] Incorrect date formatting if I indicate sheet Spark Read Excel HOT 1
- [BUG] Excel File with Macros Detected as "Potentially" Malicious. Unable to read Excel as a result. HOT 1
- [BUG] When Read Excel Files, Several Errors Using Java HOT 2
- Error Handling for Corrupt Files in Chunk Processing HOT 1
- [BUG] No thrown exception if schema is provieded, but there is no workbook/sheet (PDF with XLSX Extension)
- [FEATURE] Optimize JAR size HOT 2
- [BUG] Cannot read files into dataframe in Databricks 13.3 LTS Runtime 3.3.0 Spark HOT 3
- Extract sheet names using pyspark HOT 3
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