Comments (15)
You're mixing up things.
Delete the .option("location",...)
part and specify the full URL in load
from spark-excel.
Then I get this
java.lang.IllegalArgumentException: Parameter "location" is missing in options.
from spark-excel.
Seems you're using an outdated version.
from spark-excel.
Thanks a lot for your quick response.
I am using spark-excel_2.11-0.9.17
My Spark version is spark 2.3.1
My Scala Version 2.11
from spark-excel.
I think something is messed up with your classpath. This is definitely not version 0.9.17 because that option is now called path (see the checkParameter("path")
):
https://github.com/crealytics/spark-excel/blob/master/src/main/scala/com/crealytics/spark/excel/DefaultSource.scala
from spark-excel.
Thanks a lot. I cleaned up the classpath and now I am getting location exception but I am still getting other exception. This is the excel sheet I am getting from business so I can't even modify it manually.
org.apache.spark.sql.AnalysisException: Attribute name "Contract Identification Number" contains invalid character(s) among " ,;{}()\n\t=".
from spark-excel.
Thanks a lot. I cleaned up the classpath and now I am not getting location exception but I am still getting other exception. This is the excel sheet I am getting from business so I can't even modify it manually.
org.apache.spark.sql.AnalysisException: Attribute name "Contract Identification Number" contains invalid character(s) among " ,;{}()\n\t=".
from spark-excel.
Does this help? http://mail-archives.apache.org/mod_mbox/spark-user/201507.mbox/%3CCAAswR-6D7CGv1varyA0cYWnoH3nSr17gb+hypHORi3APGrhB7A@mail.gmail.com%3E
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Something is weird. I am creating a generic framework to extract any csv and excel. I am using spark-csv library , I extract the schema and save it and if schema is already there I will apply that schema in future.
However in case of Spark-excel library , when I extract schema I get all the column names, datatypes and nullable but I also get column names like this
"StructField(ReportingPeriodEndingDate,StringType,true)_color".
from spark-excel.
One more question: What should be the format of custom schema?
from spark-excel.
When I convert excel to CSV, it generates a lot of empty columns.
from spark-excel.
That strange-looking column should actually be called "ReportingPeriodEndingDate_color"
and is a generated column that contains the cell color of the "ReportingPeriodEndingDate"
column.
You can turn that of by leaving out the .option("addColorColumns", "true")
.
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If I turn it off then it doesn't generate schema. I need to capture the schema.
from spark-excel.
Wdym, "it doesn't generate schema"?
After reading from an Excel file to a df: DataFrame
, you always have an associated schema with df.schema
.
from spark-excel.
Thanks a lot for your quick response and your help. I am able to solve the 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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