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https://issues.apache.org/jira/browse/CALCITE-4994?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17482665#comment-17482665
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Julian Hyde commented on CALCITE-4994:
--------------------------------------

If you need to build and cache a map from name to integer, the best way might 
be sub-class of {{SqlNameMatcher}} that contains a Guava cache:
{code}
  static final int THRESHOLD = 20;
  final LoadingCache<RelDataType, Map<String, Integer>> cache = ...;

  @Override @Nullable RelDataTypeField field(RelDataType rowType, String 
fieldName) {
    if (rowType.getFieldCount() < THRESHOLD) {
      return super.field(rowType, fieldName);
    }
    Integer i = cache.get(rowType).get(fieldName);
    return i == null ? null : rowType.getFields().get(i);
  }
{code}

Or maybe override {{SqlNameMatcher.indexOf}} rather than {{field}}.

This {{SqlNameMatcher}} instance would be stateful so we need to be careful. It 
would be allocated and stored inside a {{CalciteCatalogReader}}, so its 
lifetime would not be longer than a single query or type factory. Other places 
in the preparation process that need to access fields by name would also 
benefit.

> SqlToRelConverter creates FieldMap for every Identifier Instead of Memoizing 
> it
> -------------------------------------------------------------------------------
>
>                 Key: CALCITE-4994
>                 URL: https://issues.apache.org/jira/browse/CALCITE-4994
>             Project: Calcite
>          Issue Type: Improvement
>          Components: core
>            Reporter: Jay Narale
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> When converting from Sql To Rel, In SqlToRelConverter for every single 
> instance of an identifier we create a new map in 
> *_org.apache.calcite.sql2rel.SqlToRelConverter.Blackboard#lookupExp_*
>  
> {code:java}
> final Map<String, Integer> fieldOffsets = new HashMap<>();
> for (RelDataTypeField f : resolve.rowType().getFieldList()) {
> if (!fieldOffsets.containsKey(f.getName())) {
> fieldOffsets.put(f.getName(), f.getIndex());
> }
> }
> final Map<String, Integer> map = ImmutableMap.copyOf(fieldOffsets);{code}
>  
> So for a Sql Query
> {code:java}
> SELECT name, nation FROM customer{code}
> We would do the above operation twice.
> Memoization of this information will improve performance.
> In my database, I had observed that for a large table involving 1200 columns 
> and a huge select having multiple expressions and operators, this part was a 
> bottleneck.



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