EXPLAIN_LEVEL Query Option
      Controls the amount of detail provided in the output of the EXPLAIN statement. The basic
      output can help you identify high-level performance issues such as scanning a higher volume of data or more
      partitions than you expect. The higher levels of detail show how intermediate results flow between nodes and
      how different SQL operations such as ORDER BY, GROUP BY, joins, and
      WHERE clauses are implemented within a distributed query.
    
      Type: STRING or INT
    
      Default: 1
    
Arguments:
The allowed range of numeric values for this option is 0 to 3:
- 
        0orMINIMAL: A barebones list, one line per operation. Primarily useful for checking the join order in very long queries where the regularEXPLAINoutput is too long to read easily.
- 
        1orSTANDARD: The default level of detail, showing the logical way that work is split up for the distributed query.
- 
        2orEXTENDED: Includes additional detail about how the query planner uses statistics in its decision-making process, to understand how a query could be tuned by gathering statistics, using query hints, adding or removing predicates, and so on.
- 
        3orVERBOSE: The maximum level of detail, showing how work is split up within each node into "query fragments" that are connected in a pipeline. This extra detail is primarily useful for low-level performance testing and tuning within Impala itself, rather than for rewriting the SQL code at the user level.
EXPLAIN_LEVEL was 0 to 1: level 0 had
      the mnemonic NORMAL, and level 1 was VERBOSE. In Impala 1.3 and higher,
      NORMAL is not a valid mnemonic value, and VERBOSE still applies to the
      highest level of detail but now corresponds to level 3. You might need to adjust the values if you have any
      older impala-shell script files that set the EXPLAIN_LEVEL query option.
    
      Changing the value of this option controls the amount of detail in the output of the EXPLAIN
      statement. The extended information from level 2 or 3 is especially useful during performance tuning, when
      you need to confirm whether the work for the query is distributed the way you expect, particularly for the
      most resource-intensive operations such as join queries against large tables, queries against tables with
      large numbers of partitions, and insert operations for Parquet tables. The extended information also helps to
      check estimated resource usage when you use the admission control or resource management features explained
      in Resource Management for Impala. See
      EXPLAIN Statement for the syntax of the EXPLAIN statement, and
      Using the EXPLAIN Plan for Performance Tuning for details about how to use the extended information.
    
Usage notes:
      As always, read the EXPLAIN output from bottom to top. The lowest lines represent the
      initial work of the query (scanning data files), the lines in the middle represent calculations done on each
      node and how intermediate results are transmitted from one node to another, and the topmost lines represent
      the final results being sent back to the coordinator node.
    
      The numbers in the left column are generated internally during the initial planning phase and do not
      represent the actual order of operations, so it is not significant if they appear out of order in the
      EXPLAIN output.
    
      At all EXPLAIN levels, the plan contains a warning if any tables in the query are missing
      statistics. Use the COMPUTE STATS statement to gather statistics for each table and suppress
      this warning. See Table and Column Statistics for details about how the statistics help
      query performance.
    
      The PROFILE command in impala-shell always starts with an explain plan
      showing full detail, the same as with EXPLAIN_LEVEL=3. After the explain
      plan comes the executive summary, the same output as produced by the SUMMARY command in
      impala-shell.
    
Examples:
      These examples use a trivial, empty table to illustrate how the essential aspects of query planning are shown
      in EXPLAIN output:
    
[localhost:21000] > create table t1 (x int, s string);
[localhost:21000] > set explain_level=1;
[localhost:21000] > explain select count(*) from t1;
+------------------------------------------------------------------------+
| Explain String                                                         |
+------------------------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=10.00MB VCores=1               |
| WARNING: The following tables are missing relevant table and/or column |
|   statistics.                                                          |
| explain_plan.t1                                                        |
|                                                                        |
| 03:AGGREGATE [MERGE FINALIZE]                                          |
| |  output: sum(count(*))                                               |
| |                                                                      |
| 02:EXCHANGE [PARTITION=UNPARTITIONED]                                  |
| |                                                                      |
| 01:AGGREGATE                                                           |
| |  output: count(*)                                                    |
| |                                                                      |
| 00:SCAN HDFS [explain_plan.t1]                                         |
|    partitions=1/1 size=0B                                              |
+------------------------------------------------------------------------+
[localhost:21000] > explain select * from t1;
+------------------------------------------------------------------------+
| Explain String                                                         |
+------------------------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=-9223372036854775808B VCores=0 |
| WARNING: The following tables are missing relevant table and/or column |
|   statistics.                                                          |
| explain_plan.t1                                                        |
|                                                                        |
| 01:EXCHANGE [PARTITION=UNPARTITIONED]                                  |
| |                                                                      |
| 00:SCAN HDFS [explain_plan.t1]                                         |
|    partitions=1/1 size=0B                                              |
+------------------------------------------------------------------------+
[localhost:21000] > set explain_level=2;
[localhost:21000] > explain select * from t1;
+------------------------------------------------------------------------+
| Explain String                                                         |
+------------------------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=-9223372036854775808B VCores=0 |
| WARNING: The following tables are missing relevant table and/or column |
|   statistics.                                                          |
| explain_plan.t1                                                        |
|                                                                        |
| 01:EXCHANGE [PARTITION=UNPARTITIONED]                                  |
| |  hosts=0 per-host-mem=unavailable                                    |
| |  tuple-ids=0 row-size=19B cardinality=unavailable                    |
| |                                                                      |
| 00:SCAN HDFS [explain_plan.t1, PARTITION=RANDOM]                       |
|    partitions=1/1 size=0B                                              |
|    table stats: unavailable                                            |
|    column stats: unavailable                                           |
|    hosts=0 per-host-mem=0B                                             |
|    tuple-ids=0 row-size=19B cardinality=unavailable                    |
+------------------------------------------------------------------------+
[localhost:21000] > set explain_level=3;
[localhost:21000] > explain select * from t1;
+------------------------------------------------------------------------+
| Explain String                                                         |
+------------------------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=-9223372036854775808B VCores=0 |
| WARNING: The following tables are missing relevant table and/or column |
|   statistics.                                                          |
| explain_plan.t1                                                        |
|                                                                        |
| F01:PLAN FRAGMENT [PARTITION=UNPARTITIONED]                            |
|   01:EXCHANGE [PARTITION=UNPARTITIONED]                                |
|      hosts=0 per-host-mem=unavailable                                  |
|      tuple-ids=0 row-size=19B cardinality=unavailable                  |
|                                                                        |
| F00:PLAN FRAGMENT [PARTITION=RANDOM]                                   |
|   DATASTREAM SINK [FRAGMENT=F01, EXCHANGE=01, PARTITION=UNPARTITIONED] |
|   00:SCAN HDFS [explain_plan.t1, PARTITION=RANDOM]                     |
|      partitions=1/1 size=0B                                            |
|      table stats: unavailable                                          |
|      column stats: unavailable                                         |
|      hosts=0 per-host-mem=0B                                           |
|      tuple-ids=0 row-size=19B cardinality=unavailable                  |
+------------------------------------------------------------------------+
      As the warning message demonstrates, most of the information needed for Impala to do efficient query
      planning, and for you to understand the performance characteristics of the query, requires running the
      COMPUTE STATS statement for the table:
    
[localhost:21000] > compute stats t1;
+-----------------------------------------+
| summary                                 |
+-----------------------------------------+
| Updated 1 partition(s) and 2 column(s). |
+-----------------------------------------+
[localhost:21000] > explain select * from t1;
+------------------------------------------------------------------------+
| Explain String                                                         |
+------------------------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=-9223372036854775808B VCores=0 |
|                                                                        |
| F01:PLAN FRAGMENT [PARTITION=UNPARTITIONED]                            |
|   01:EXCHANGE [PARTITION=UNPARTITIONED]                                |
|      hosts=0 per-host-mem=unavailable                                  |
|      tuple-ids=0 row-size=20B cardinality=0                            |
|                                                                        |
| F00:PLAN FRAGMENT [PARTITION=RANDOM]                                   |
|   DATASTREAM SINK [FRAGMENT=F01, EXCHANGE=01, PARTITION=UNPARTITIONED] |
|   00:SCAN HDFS [explain_plan.t1, PARTITION=RANDOM]                     |
|      partitions=1/1 size=0B                                            |
|      table stats: 0 rows total                                         |
|      column stats: all                                                 |
|      hosts=0 per-host-mem=0B                                           |
|      tuple-ids=0 row-size=20B cardinality=0                            |
+------------------------------------------------------------------------+
      Joins and other complicated, multi-part queries are the ones where you most commonly need to examine the
      EXPLAIN output and customize the amount of detail in the output. This example shows the
      default EXPLAIN output for a three-way join query, then the equivalent output with a
      [SHUFFLE] hint to change the join mechanism between the first two tables from a broadcast
      join to a shuffle join.
    
[localhost:21000] > set explain_level=1;
[localhost:21000] > explain select one.*, two.*, three.* from t1 one, t1 two, t1 three where one.x = two.x and two.x = three.x;
+---------------------------------------------------------+
| Explain String                                          |
+---------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=4.00GB VCores=3 |
|                                                         |
| 07:EXCHANGE [PARTITION=UNPARTITIONED]                   |
| |                                                       |
| 04:HASH JOIN [INNER JOIN, BROADCAST]                    |
| |  hash predicates: two.x = three.x                     |
| |                                                       |
| |--06:EXCHANGE [BROADCAST]                              |
| |  |                                                    |
| |  02:SCAN HDFS [explain_plan.t1 three]                 |
| |     partitions=1/1 size=0B                            |
| |                                                       |
| 03:HASH JOIN [INNER JOIN, BROADCAST]                    |
| |  hash predicates: one.x = two.x                       |
| |                                                       |
| |--05:EXCHANGE [BROADCAST]                              |
| |  |                                                    |
| |  01:SCAN HDFS [explain_plan.t1 two]                   |
| |     partitions=1/1 size=0B                            |
| |                                                       |
| 00:SCAN HDFS [explain_plan.t1 one]                      |
|    partitions=1/1 size=0B                               |
+---------------------------------------------------------+
[localhost:21000] > explain select one.*, two.*, three.*
                  > from t1 one join [shuffle] t1 two join t1 three
                  > where one.x = two.x and two.x = three.x;
+---------------------------------------------------------+
| Explain String                                          |
+---------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=4.00GB VCores=3 |
|                                                         |
| 08:EXCHANGE [PARTITION=UNPARTITIONED]                   |
| |                                                       |
| 04:HASH JOIN [INNER JOIN, BROADCAST]                    |
| |  hash predicates: two.x = three.x                     |
| |                                                       |
| |--07:EXCHANGE [BROADCAST]                              |
| |  |                                                    |
| |  02:SCAN HDFS [explain_plan.t1 three]                 |
| |     partitions=1/1 size=0B                            |
| |                                                       |
| 03:HASH JOIN [INNER JOIN, PARTITIONED]                  |
| |  hash predicates: one.x = two.x                       |
| |                                                       |
| |--06:EXCHANGE [PARTITION=HASH(two.x)]                  |
| |  |                                                    |
| |  01:SCAN HDFS [explain_plan.t1 two]                   |
| |     partitions=1/1 size=0B                            |
| |                                                       |
| 05:EXCHANGE [PARTITION=HASH(one.x)]                     |
| |                                                       |
| 00:SCAN HDFS [explain_plan.t1 one]                      |
|    partitions=1/1 size=0B                               |
+---------------------------------------------------------+
      For a join involving many different tables, the default EXPLAIN output might stretch over
      several pages, and the only details you care about might be the join order and the mechanism (broadcast or
      shuffle) for joining each pair of tables. In that case, you might set EXPLAIN_LEVEL to its
      lowest value of 0, to focus on just the join order and join mechanism for each stage. The following example
      shows how the rows from the first and second joined tables are hashed and divided among the nodes of the
      cluster for further filtering; then the entire contents of the third table are broadcast to all nodes for the
      final stage of join processing.
    
[localhost:21000] > set explain_level=0;
[localhost:21000] > explain select one.*, two.*, three.*
                  > from t1 one join [shuffle] t1 two join t1 three
                  > where one.x = two.x and two.x = three.x;
+---------------------------------------------------------+
| Explain String                                          |
+---------------------------------------------------------+
| Estimated Per-Host Requirements: Memory=4.00GB VCores=3 |
|                                                         |
| 08:EXCHANGE [PARTITION=UNPARTITIONED]                   |
| 04:HASH JOIN [INNER JOIN, BROADCAST]                    |
| |--07:EXCHANGE [BROADCAST]                              |
| |  02:SCAN HDFS [explain_plan.t1 three]                 |
| 03:HASH JOIN [INNER JOIN, PARTITIONED]                  |
| |--06:EXCHANGE [PARTITION=HASH(two.x)]                  |
| |  01:SCAN HDFS [explain_plan.t1 two]                   |
| 05:EXCHANGE [PARTITION=HASH(one.x)]                     |
| 00:SCAN HDFS [explain_plan.t1 one]                      |
+---------------------------------------------------------+