How to solve Error in Databricks Academy course DE 4.2 & 4.3, run classroom-setup-4.2 error, "[SQLITE_ERROR] SQL error or missing database (no such table: users)"

[Will_Sullivan]

Any one know how to solve this error?

Course: Data Engineering with Databricks,

Notebook: DE 4.2 - Providing Options for External Sources

Attempts to fix: Detached and reattached my cluster and started it again.

%run ../Includes/Classroom-Setup-4.2

results in following error statement and code:

"Dropping the database "dbacademy_will_e_sullivan_pwc_com_dewd_4_2"

Removing the working directory "dbfs:/user/will.e.sullivan@pwc.com/dbacademy/dewd/4.2"

Creating the database "dbacademy_will_e_sullivan_pwc_com_dewd_4_2"

Skipping install to "dbfs:/user/will.e.sullivan@pwc.com/dbacademy/dewd/source/eltwss", dataset already exists

Creating the sales-csv dataset...(10 seconds / 10,514 records)

Creating the users table...

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 11.0 failed 4 times, most recent failure: Lost task 0.3 in stage 11.0 (TID 24) (10.197.236.140 executor 1): java.sql.SQLException: [SQLITE_ERROR] SQL error or missing database (no such table: users)"

/databricks/spark/python/lib/py4j-0.10.9.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
    324             value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
    325             if answer[1] == REFERENCE_TYPE:
--> 326                 raise Py4JJavaError(
    327                     "An error occurred while calling {0}{1}{2}.\n".
    328                     format(target_id, ".", name), value)
 
Py4JJavaError: An error occurred while calling o713.save.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 11.0 failed 4 times, most recent failure: Lost task 0.3 in stage 11.0 (TID 24) (10.197.236.140 executor 1): java.sql.SQLException: [SQLITE_ERROR] SQL error or missing database (no such table: users)
	at org.sqlite.core.DB.newSQLException(DB.java:890)
	at org.sqlite.core.DB.newSQLException(DB.java:901)
	at org.sqlite.core.DB.throwex(DB.java:868)
	at org.sqlite.core.NativeDB.prepare(Native Method)
	at org.sqlite.core.DB.prepare(DB.java:211)
	at org.sqlite.core.CorePreparedStatement.<init>(CorePreparedStatement.java:40)
	at org.sqlite.jdbc3.JDBC3PreparedStatement.<init>(JDBC3PreparedStatement.java:29)
	at org.sqlite.jdbc4.JDBC4PreparedStatement.<init>(JDBC4PreparedStatement.java:18)
	at org.sqlite.jdbc4.JDBC4Connection.prepareStatement(JDBC4Connection.java:47)
	at org.sqlite.jdbc3.JDBC3Connection.prepareStatement(JDBC3Connection.java:254)
	at org.sqlite.jdbc3.JDBC3Connection.prepareStatement(JDBC3Connection.java:226)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:703)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:890)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:888)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1025)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1025)
	at org.apache.spark.SparkContext.$anonfun$runJob$2(SparkContext.scala:2677)
	at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$3(ResultTask.scala:75)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$1(ResultTask.scala:75)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:55)
	at org.apache.spark.scheduler.Task.doRunTask(Task.scala:156)
	at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:125)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.Task.run(Task.scala:95)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$13(Executor.scala:826)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1681)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:829)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:684)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)