title: Write Spark dataframe into delta lake
body: <p>I am trying to convert Spark data frame into delta format using the example code provided by documentation but always getting this strange error. Can you please help or guide?</p>
  
  <pre class="lang-py prettyprint-override"><code>df_sdf.write.format("delta").save("/mnt/.../delta/")
  </code></pre>
  
  <p>Error looks like:</p>
  
  <pre class="lang-py prettyprint-override"><code>org.apache.spark.SparkException: Job aborted.
  
  --------------------------------------------------------------------------- Py4JJavaError Traceback (most recent call last) &lt;command-3011941952225495&gt; in &lt;module&gt; ----&gt; 1 df_sdf.write.format("delta").save("/mnt/.../delta/") /databricks/spark/python/pyspark/sql/readwriter.py in save(self, path, format, mode, partitionBy, **options) 737 self._jwrite.save() 738 else: --&gt; 739 self._jwrite.save(path) 740 741 @since(1.4)
  /databricks/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py in call(self, *args) 1255 answer = self.gateway_client.send_command(command) 1256 return_value = get_return_value( -&gt; 1257 answer, self.gateway_client, self.target_id, self.name) 1258 1259 for temp_arg in temp_args:
  
  /databricks/spark/python/pyspark/sql/utils.py in deco(a, *kw)
  </code></pre>