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https://issues.apache.org/jira/browse/DRILL-5375?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15941724#comment-15941724
 ] 

ASF GitHub Bot commented on DRILL-5375:
---------------------------------------

Github user arina-ielchiieva commented on a diff in the pull request:

    https://github.com/apache/drill/pull/794#discussion_r108036357
  
    --- Diff: 
exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/join/NestedLoopJoinBatch.java
 ---
    @@ -214,26 +226,62 @@ private boolean hasMore(IterOutcome outcome) {
     
       /**
        * Method generates the runtime code needed for NLJ. Other than the 
setup method to set the input and output value
    -   * vector references we implement two more methods
    -   * 1. emitLeft()  -> Project record from the left side
    -   * 2. emitRight() -> Project record from the right side (which is a 
hyper container)
    +   * vector references we implement three more methods
    +   * 1. doEval() -> Evaluates if record from left side matches record from 
the right side
    +   * 2. emitLeft() -> Project record from the left side
    +   * 3. emitRight() -> Project record from the right side (which is a 
hyper container)
        * @return the runtime generated class that implements the 
NestedLoopJoin interface
    -   * @throws IOException
    -   * @throws ClassTransformationException
        */
    -  private NestedLoopJoin setupWorker() throws IOException, 
ClassTransformationException {
    -    final CodeGenerator<NestedLoopJoin> nLJCodeGenerator = 
CodeGenerator.get(NestedLoopJoin.TEMPLATE_DEFINITION, 
context.getFunctionRegistry(), context.getOptions());
    +  private NestedLoopJoin setupWorker() throws IOException, 
ClassTransformationException, SchemaChangeException {
    +    final CodeGenerator<NestedLoopJoin> nLJCodeGenerator = 
CodeGenerator.get(
    +        NestedLoopJoin.TEMPLATE_DEFINITION, context.getFunctionRegistry(), 
context.getOptions());
         nLJCodeGenerator.plainJavaCapable(true);
         // Uncomment out this line to debug the generated code.
     //    nLJCodeGenerator.saveCodeForDebugging(true);
         final ClassGenerator<NestedLoopJoin> nLJClassGenerator = 
nLJCodeGenerator.getRoot();
     
    +    // generate doEval
    +    final ErrorCollector collector = new ErrorCollectorImpl();
    +
    +
    +    /*
    +        Logical expression may contain fields from left and right batches. 
During code generation (materialization)
    +        we need to indicate from which input field should be taken. 
Mapping sets can work with only one input at a time.
    +        But non-equality expressions can be complex:
    +          select t1.c1, t2.c1, t2.c2 from t1 inner join t2 on t1.c1 
between t2.c1 and t2.c2
    +        or even contain self join which can not be transformed into filter 
since OR clause is present
    +          select *from t1 inner join t2 on t1.c1 >= t2.c1 or t1.c3 <> t1.c4
    +
    +        In this case logical expression can not be split according to 
input presence (like during equality joins
    --- End diff --
    
    The thing is that inequality join is not only join that has `t1.c3 <> 
t1.c4` but also the one that has `OR`.
    For example, currently the following query `select * from t1 inner join t2 
on t1.c1 = t2.c1 or t1.c2 = t2.c2` will fail which the following error: 
`UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to 
either a cartesian join or an inequality join`.
    
    The main idea of my comment is that I don't bother if it's equality or 
inequality join, I just materialize the whole expression with fields from two 
inputs and to find out which input field is I add batch indication. If you want 
I can remove the comment, if it's confusing.


> Nested loop join: return correct result for left join
> -----------------------------------------------------
>
>                 Key: DRILL-5375
>                 URL: https://issues.apache.org/jira/browse/DRILL-5375
>             Project: Apache Drill
>          Issue Type: Bug
>    Affects Versions: 1.8.0
>            Reporter: Arina Ielchiieva
>            Assignee: Arina Ielchiieva
>              Labels: doc-impacting
>
> Mini repro:
> 1. Create 2 Hive tables with data
> {code}
> CREATE TABLE t1 (
>   FYQ varchar(999),
>   dts varchar(999),
>   dte varchar(999)
> )
> ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';
> 2016-Q1,2016-06-01,2016-09-30
> 2016-Q2,2016-09-01,2016-12-31
> 2016-Q3,2017-01-01,2017-03-31
> 2016-Q4,2017-04-01,2017-06-30
> CREATE TABLE t2 (
>   who varchar(999),
>   event varchar(999),
>   dt varchar(999)
> )
> ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';
> aperson,did somthing,2017-01-06
> aperson,did somthing else,2017-01-12
> aperson,had chrsitmas,2016-12-26
> aperson,went wild,2016-01-01
> {code}
> 2. Impala Query shows correct result
> {code}
> select t2.dt, t1.fyq, t2.who, t2.event
> from t2
> left join t1 on t2.dt between t1.dts and t1.dte
> order by t2.dt;
> +------------+---------+---------+-------------------+
> | dt         | fyq     | who     | event             |
> +------------+---------+---------+-------------------+
> | 2016-01-01 | NULL    | aperson | went wild         |
> | 2016-12-26 | 2016-Q2 | aperson | had chrsitmas     |
> | 2017-01-06 | 2016-Q3 | aperson | did somthing      |
> | 2017-01-12 | 2016-Q3 | aperson | did somthing else |
> +------------+---------+---------+-------------------+
> {code}
> 3. Drill query shows wrong results:
> {code}
> alter session set planner.enable_nljoin_for_scalar_only=false;
> use hive;
> select t2.dt, t1.fyq, t2.who, t2.event
> from t2
> left join t1 on t2.dt between t1.dts and t1.dte
> order by t2.dt;
> +-------------+----------+----------+--------------------+
> |     dt      |   fyq    |   who    |       event        |
> +-------------+----------+----------+--------------------+
> | 2016-12-26  | 2016-Q2  | aperson  | had chrsitmas      |
> | 2017-01-06  | 2016-Q3  | aperson  | did somthing       |
> | 2017-01-12  | 2016-Q3  | aperson  | did somthing else  |
> +-------------+----------+----------+--------------------+
> 3 rows selected (2.523 seconds)
> {code}



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