Files
impala/docs/topics/impala_parquet_array_resolution.xml
Tamas Mate eadd35f6d5 IMPALA-11853: Fix formatted docs query options CSS
The recent documentation formatting changes introduced the navigation
panel on the left. However, due to the length of the query options
navigation title these could overlap with the documentation paragraphs.

This commit removes the underscores from the navigation titles of the
query options, so browsers can break them into multiple lines.
Additionally, the "SET" and "Query Options for the SET Statement" pages
are merged to save some more space for the query option navigation
titles.

Testing:
 - Built the documentation and tested manually

Change-Id: Icec787d7a2af848aaaff65be2ecf311a5ce8fe7f
Reviewed-on: http://gerrit.cloudera.org:8080/20556
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Jason Fehr <jfehr@cloudera.com>
Reviewed-by: Peter Rozsa <prozsa@cloudera.com>
Reviewed-by: Tamas Mate <tmater@apache.org>
2023-10-18 10:22:05 +00:00

208 lines
5.9 KiB
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_RESOLUTION</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>