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https://issues.apache.org/jira/browse/DRILL-7504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17031662#comment-17031662
 ] 

ASF GitHub Bot commented on DRILL-7504:
---------------------------------------

vvysotskyi commented on pull request #1970: DRILL-7504: Upgrade Parquet library 
to 1.11.0
URL: https://github.com/apache/drill/pull/1970#discussion_r375879637
 
 

 ##########
 File path: 
exec/java-exec/src/test/java/org/apache/drill/exec/store/parquet/TestPushDownAndPruningForDecimal.java
 ##########
 @@ -692,13 +687,19 @@ public void testDecimalPruningWithNullPartition() throws 
Exception {
 
         long actualRowCount = 
client.queryBuilder().sql(query).run().recordCount();
         assertEquals("Row count does not match the expected value", 
expectedRowCount, actualRowCount);
-        PlanTestBase.testPlanMatchingPatterns(query, new 
String[]{"usedMetadataFile=false"}, new String[]{"Filter"});
+
+        String plan = client.queryBuilder().sql(query).explainText();
 
 Review comment:
   Could you please replace it with `planMatcher()`:
   ```
           queryBuilder()
               .sql(query)
               .planMatcher()
               .include("usedMetadataFile=false")
               .exclude("Filter")
               .match();
   ```
   Here and in the code below.
 
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> Upgrade Parquet library to 1.11.0
> ---------------------------------
>
>                 Key: DRILL-7504
>                 URL: https://issues.apache.org/jira/browse/DRILL-7504
>             Project: Apache Drill
>          Issue Type: Task
>    Affects Versions: 1.17.0
>            Reporter: Arina Ielchiieva
>            Assignee: Bohdan Kazydub
>            Priority: Major
>             Fix For: 1.18.0
>
>
> Upgrade Parquet library to 1.11.0
> Apache Parquet Format to 2.8.0
> Check ignored tests in:
> org.apache.drill.exec.store.parquet.TestParquetMetadataCache
> org.apache.drill.exec.store.parquet.TestPushDownAndPruningForDecimal
> org.apache.drill.exec.store.parquet.TestPushDownAndPruningForVarchar



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