Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17680#discussion_r112347873
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 ---
    @@ -536,4 +537,43 @@ class ParquetFilterSuite extends QueryTest with 
ParquetTest with SharedSQLContex
           // scalastyle:on nonascii
         }
       }
    +
    +  test("SPARK-20364: Predicate pushdown for columns with a '.' in them") {
    +    import testImplicits._
    +
    +    Seq(true, false).foreach { vectorized =>
    +      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> 
vectorized.toString) {
    +        withTempPath { path =>
    +          Seq(Some(1), 
None).toDF("col.dots").write.parquet(path.getAbsolutePath)
    +          
assert(spark.read.parquet(path.getAbsolutePath).where("`col.dots` > 0").count() 
== 1)
    +        }
    +
    +        withTempPath { path =>
    +          Seq(Some(1L), 
None).toDF("col.dots").write.parquet(path.getAbsolutePath)
    +          
assert(spark.read.parquet(path.getAbsolutePath).where("`col.dots` >= 
1L").count() == 1)
    +        }
    +
    +        withTempPath { path =>
    +          Seq(Some(1.0F), 
None).toDF("col.dots").write.parquet(path.getAbsolutePath)
    +          
assert(spark.read.parquet(path.getAbsolutePath).where("`col.dots` < 
2.0").count() == 1)
    +        }
    +
    +        withTempPath { path =>
    +          Seq(Some(1.0D), 
None).toDF("col.dots").write.parquet(path.getAbsolutePath)
    +          
assert(spark.read.parquet(path.getAbsolutePath).where("`col.dots` <= 
1.0D").count() == 1)
    +        }
    +
    +        withTempPath { path =>
    +          Seq(true, 
false).toDF("col.dots").write.parquet(path.getAbsolutePath)
    +          
assert(spark.read.parquet(path.getAbsolutePath).where("`col.dots` == 
true").count() == 1)
    +        }
    +
    +        withTempPath { path =>
    +          Seq("apple", 
null).toDF("col.dots").write.parquet(path.getAbsolutePath)
    +          assert(
    +            spark.read.parquet(path.getAbsolutePath).where("`col.dots` IS 
NOT NULL").count() == 1)
    --- End diff --
    
    Actually, `IS NULL` is not the problem here.
    
    ```scala
    val path = "/tmp/abcde"
    spark.read.parquet(path).where("`col.dots` IS NULL").show()
    ```
    
    ```
    +--------+
    |col.dots|
    +--------+
    |    null|
    +--------+
    ```
    
    The reason is Parquet produces `null` permissively if the column does not 
exist after we upgrade it to 1.8.2 AFAIK. If this reason should be verified, I 
will look further. But in terms of the output, the issue is not reproduced.


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