How to filter based on array value in PySpark?
<p>My Schema:</p>

<pre class="lang-none prettyprint-override"><code>|-- Canonical_URL: string (nullable = true)
 |-- Certifications: array (nullable = true)
 |    |-- element: struct (containsNull = true)
 |    |    |-- Certification_Authority: string (nullable = true)
 |    |    |-- End: string (nullable = true)
 |    |    |-- License: string (nullable = true)
 |    |    |-- Start: string (nullable = true)
 |    |    |-- Title: string (nullable = true)
 |-- CompanyId: string (nullable = true)
 |-- Country: string (nullable = true)
|-- vendorTags: array (nullable = true)
 |    |-- element: struct (containsNull = true)
 |    |    |-- score: double (nullable = true)
 |    |    |-- vendor: string (nullable = true)
</code></pre>

<p>I tried the below query to select nested fields from <code>vendorTags</code></p>

<pre><code>df3 = sqlContext.sql("select vendorTags.vendor from globalcontacts")
</code></pre>

<p>How can I query the nested fields in <code>where</code> clause like below in PySpark</p>

<pre><code>df3 = sqlContext.sql("select vendorTags.vendor from globalcontacts where vendorTags.vendor = 'alpha'")
</code></pre>

<p>or</p>

<pre><code>df3 = sqlContext.sql("select vendorTags.vendor from globalcontacts where vendorTags.score &gt; 123.123456")
</code></pre>

<p>something like this..</p>

<p>I tried the above queries only to get the below error</p>

<pre><code>df3 = sqlContext.sql("select vendorTags.vendor from globalcontacts where vendorTags.vendor = 'alpha'")
</code></pre>

<pre class="lang-none prettyprint-override"><code>16/03/15 13:16:02 INFO ParseDriver: Parsing command: select vendorTags.vendor from globalcontacts where vendorTags.vendor = 'alpha'
16/03/15 13:16:03 INFO ParseDriver: Parse Completed
Traceback (most recent call last):
  File "&lt;stdin&gt;", line 1, in &lt;module&gt;
  File "/usr/lib/spark/python/pyspark/sql/context.py", line 583, in sql
    return DataFrame(self._ssql_ctx.sql(sqlQuery), self)
  File "/usr/lib/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__
  File "/usr/lib/spark/python/pyspark/sql/utils.py", line 51, in deco
    raise AnalysisException(s.split(': ', 1)[1], stackTrace)
pyspark.sql.utils.AnalysisException: u"cannot resolve '(vendorTags.vendor = cast(alpha as double))' due to data type mismatch: differing types in '(vendorTags.vendor = cast(alpha as double))' (array&lt;string&gt; and double).; line 1 pos 71"
</code></pre>