Spark Excel Library

A library for querying Excel files with Apache Spark, for Spark SQL and DataFrames.

Requirements

This library requires Spark 2.0+

Linking

You can link against this library in your program at the following coordinates:

Scala 2.11

groupId: com.crealytics
artifactId: spark-excel_2.11
version: 0.9.12

Using with Spark shell

This package can be added to Spark using the --packages command line option. For example, to include it when starting the spark shell:

Spark compiled with Scala 2.11

$SPARK_HOME/bin/spark-shell --packages com.crealytics:spark-excel_2.11:0.9.12

Features

This package allows querying Excel spreadsheets as Spark DataFrames.

Scala API

Spark 2.0+:

Create a DataFrame from an Excel file

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val df = sqlContext.read
    .format("com.crealytics.spark.excel")
    .option("sheetName", "Daily") // Required
    .option("useHeader", "true") // Required
    .option("treatEmptyValuesAsNulls", "false") // Optional, default: true
    .option("inferSchema", "false") // Optional, default: false
    .option("addColorColumns", "true") // Optional, default: false
    .option("startColumn", 0) // Optional, default: 0
    .option("endColumn", 99) // Optional, default: Int.MaxValue
    .option("timestampFormat", "MM-dd-yyyy HH:mm:ss") // Optional, default: yyyy-mm-dd hh:mm:ss[.fffffffff]
    .option("maxRowsInMemory", 20) // Optional, default None. If set, uses a streaming reader which can help with big files
    .option("excerptSize", 10) // Optional, default: 10. If set and if schema inferred, number of rows to infer schema from
    .schema(myCustomSchema) // Optional, default: Either inferred schema, or all columns are Strings
    .load("Worktime.xlsx")

Write a DataFrame to an Excel file

df.write
  .format("com.crealytics.spark.excel")
  .option("sheetName", "Daily")
  .option("useHeader", "true")
  .option("dateFormat", "yy-mmm-d") // Optional, default: yy-m-d h:mm
  .option("timestampFormat", "mm-dd-yyyy hh:mm:ss") // Optional, default: yyyy-mm-dd hh:mm:ss.000
  .mode("overwrite")
  .save("Worktime2.xlsx")

Building From Source

This library is built with SBT. To build a JAR file simply run sbt assembly from the project root. The build configuration includes support for Scala 2.11.

Tellius / spark-excel