impala/docs/topics/impala_parquet_array_resolution.xml

<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE concept PUBLIC "-//OASIS//DTD DITA Concept//EN" "concept.dtd">
<concept id="parquet_array_resolution" rev="2.9.0 IMPALA-4725">

  <title>
    PARQUET_ARRAY_RESOLUTION Query Option (<keyword keyref="impala29"/> or higher only)
  </title>

  <titlealts audience="PDF">

    <navtitle>PARQUET_ARRAY_RESOLUTION</navtitle>

  </titlealts>

  <prolog>
    <metadata>
      <data name="Category" value="Impala"/>
      <data name="Category" value="Impala Query Options"/>
      <data name="Category" value="Parquet"/>
      <data name="Category" value="Developers"/>
      <data name="Category" value="Data Analysts"/>
    </metadata>
  </prolog>

  <conbody>

    <p rev="parquet_array_resolution">
      The <codeph>PARQUET_ARRAY_RESOLUTION</codeph> query option controls the
      behavior of the indexed-based resolution for nested arrays in Parquet.
    </p>

    <p>
      In Parquet, you can represent an array using a 2-level or 3-level
      representation. The modern, standard representation is 3-level. The legacy
      2-level scheme is supported for compatibility with older Parquet files.
      However, there is no reliable metadata within Parquet files to indicate
      which encoding was used. It is even possible to have mixed encodings within
      the same file if there are multiple arrays. The
      <codeph>PARQUET_ARRAY_RESOLTUTION</codeph> option controls the process of
      resolution that is to match every column/field reference from a query to a
      column in the Parquet file.</p>

    <p>
      The supported values for the query option are:
    </p>

    <ul>
      <li>
        <codeph>THREE_LEVEL</codeph>: Assumes arrays are encoded with the 3-level
        representation, and does not attempt the 2-level resolution.
      </li>

      <li>
        <codeph>TWO_LEVEL</codeph>: Assumes arrays are encoded with the 2-level
        representation, and does not attempt the 3-level resolution.
      </li>

      <li>
        <codeph>TWO_LEVEL_THEN_THREE_LEVEL</codeph>: First tries to resolve
        assuming a 2-level representation, and if unsuccessful, tries a 3-level
        representation.
      </li>
    </ul>

    <p>
      All of the above options resolve arrays encoded with a single level.
    </p>

    <p>
      A failure to resolve a column/field reference in a query with a given array
      resolution policy does not necessarily result in a warning or error returned
      by the query. A mismatch might be treated like a missing column (returns
      NULL values), and it is not possible to reliably distinguish the 'bad
      resolution' and 'legitimately missing column' cases.
    </p>

    <p>
      The name-based policy generally does not have the problem of ambiguous
      array representations. You specify to use the name-based policy by setting
      the <codeph>PARQUET_FALLBACK_SCHEMA_RESOLUTION</codeph> query option to
      <codeph>NAME</codeph>.
    </p>

    <p>
      <b>Type:</b> Enum of <codeph>TWO_LEVEL</codeph>,
        <codeph>TWO_LEVEL_THEN_THREE_LEVEL</codeph>, and
        <codeph>THREE_LEVEL</codeph>
    </p>

    <p>
      <b>Default:</b> <codeph>THREE_LEVEL</codeph>
    </p>

    <p conref="../shared/impala_common.xml#common/added_in_290"/>

    <p conref="../shared/impala_common.xml#common/example_blurb"/>

    <p>
      EXAMPLE A: The following Parquet schema of a file can be interpreted as a
      2-level or 3-level:
    </p>

<codeblock>
ParquetSchemaExampleA {
  optional group single_element_groups (LIST) {
    repeated group single_element_group {
      required int64 count;
    }
  }
}
</codeblock>

    <p>
      The following table schema corresponds to a 2-level interpretation:
    </p>

<codeblock>
CREATE TABLE t (col1 array&lt;struct&lt;f1: bigint>>) STORED AS PARQUET;
</codeblock>

    <p>
      Successful query with a 2-level interpretation:
    </p>

<codeblock>
SET PARQUET_ARRAY_RESOLUTION=TWO_LEVEL;
SELECT ITEM.f1 FROM t.col1;
</codeblock>

    <p>
      The following table schema corresponds to a 3-level interpretation:
    </p>

<codeblock>
CREATE TABLE t (col1 array&lt;bigint>) STORED AS PARQUET;
</codeblock>

    <p>
      Successful query with a 3-level interpretation:
    </p>

<codeblock>
SET PARQUET_ARRAY_RESOLUTION=THREE_LEVEL;
SELECT ITEM FROM t.col1
</codeblock>

    <p>
      EXAMPLE B: The following Parquet schema of a file can be only be successfully
      interpreted as a 2-level:
    </p>

<codeblock>
ParquetSchemaExampleB {
  required group list_of_ints (LIST) {
    repeated int32 list_of_ints_tuple;
  }
}
</codeblock>

    <p>
      The following table schema corresponds to a 2-level interpretation:
    </p>

<codeblock>
CREATE TABLE t (col1 array&lt;int>) STORED AS PARQUET;
</codeblock>

    <p>
      Successful query with a 2-level interpretation:
    </p>

<codeblock>
SET PARQUET_ARRAY_RESOLUTION=TWO_LEVEL;
SELECT ITEM FROM t.col1
</codeblock>

    <p>
      Unsuccessful query with a 3-level interpretation. The query returns
      <codeph>NULL</codeph>s as if the column was missing in the file:
    </p>

<codeblock>
SET PARQUET_ARRAY_RESOLUTION=THREE_LEVEL;
SELECT ITEM FROM t.col1
</codeblock>

  </conbody>

</concept>