Packaging scala class on databricks (error: not found: value dbutils)
Packaging scala class on databricks (error: not found: value dbutils)
尝试用 class
制作一个包裹
package x.y.Log
import scala.collection.mutable.ListBuffer
import org.apache.spark.sql.{DataFrame}
import org.apache.spark.sql.functions.{lit, explode, collect_list, struct}
import org.apache.spark.sql.types.{StructField, StructType}
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql.functions._
import spark.implicits._
class Log{
...
}
在同一个笔记本上一切正常,但是当我尝试创建可以在其他笔记本上使用的包时,我遇到了错误:
<notebook>:11: error: not found: object spark
import spark.implicits._
^
<notebook>:21: error: not found: value dbutils
val notebookPath = dbutils.notebook.getContext().notebookPath.get
^
<notebook>:22: error: not found: value dbutils
val userName = dbutils.notebook.getContext.tags("user")
^
<notebook>:23: error: not found: value dbutils
val userId = dbutils.notebook.getContext.tags("userId")
^
<notebook>:41: error: not found: value spark
var rawMeta = spark.read.format("json").option("multiLine", true).load("/FileStore/tables/xxx.json")
^
<notebook>:42: error: value $ is not a member of StringContext
.filter($"Name".isin(readSources))
有人知道如何用这些库打包这个 class 吗?
假设您是 运行 Spark 2.x,语句 import spark.implicits._
仅在范围内有 SparkSession 对象时才有效。对象 Implicits 在 SparkSession 对象中定义。该对象扩展了以前版本的 spark Link to SparkSession code on Github 的 SQLImplicits。您可以检查 link 以验证
package x.y.Log
import scala.collection.mutable.ListBuffer
import org.apache.spark.sql.DataFrame
import org.apache.spark.sql.functions.{lit, explode, collect_list, struct}
import org.apache.spark.sql.types.{StructField, StructType}
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql.functions._
import org.apache.spark.sql.SparkSession
class Log{
val spark: SparkSession = SparkSession.builder.enableHiveSupport().getOrCreate()
import spark.implicits._
...[rest of the code below]
}
尝试用 class
制作一个包裹package x.y.Log
import scala.collection.mutable.ListBuffer
import org.apache.spark.sql.{DataFrame}
import org.apache.spark.sql.functions.{lit, explode, collect_list, struct}
import org.apache.spark.sql.types.{StructField, StructType}
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql.functions._
import spark.implicits._
class Log{
...
}
在同一个笔记本上一切正常,但是当我尝试创建可以在其他笔记本上使用的包时,我遇到了错误:
<notebook>:11: error: not found: object spark
import spark.implicits._
^
<notebook>:21: error: not found: value dbutils
val notebookPath = dbutils.notebook.getContext().notebookPath.get
^
<notebook>:22: error: not found: value dbutils
val userName = dbutils.notebook.getContext.tags("user")
^
<notebook>:23: error: not found: value dbutils
val userId = dbutils.notebook.getContext.tags("userId")
^
<notebook>:41: error: not found: value spark
var rawMeta = spark.read.format("json").option("multiLine", true).load("/FileStore/tables/xxx.json")
^
<notebook>:42: error: value $ is not a member of StringContext
.filter($"Name".isin(readSources))
有人知道如何用这些库打包这个 class 吗?
假设您是 运行 Spark 2.x,语句 import spark.implicits._
仅在范围内有 SparkSession 对象时才有效。对象 Implicits 在 SparkSession 对象中定义。该对象扩展了以前版本的 spark Link to SparkSession code on Github 的 SQLImplicits。您可以检查 link 以验证
package x.y.Log
import scala.collection.mutable.ListBuffer
import org.apache.spark.sql.DataFrame
import org.apache.spark.sql.functions.{lit, explode, collect_list, struct}
import org.apache.spark.sql.types.{StructField, StructType}
import java.util.Calendar
import java.text.SimpleDateFormat
import org.apache.spark.sql.functions._
import org.apache.spark.sql.SparkSession
class Log{
val spark: SparkSession = SparkSession.builder.enableHiveSupport().getOrCreate()
import spark.implicits._
...[rest of the code below]
}