[jira] [Created] (HIVE-15657) publish information to the vertex description field

2017-01-17 Thread Siddharth Seth (JIRA)
Siddharth Seth created HIVE-15657:
-

 Summary: publish information to the vertex description field
 Key: HIVE-15657
 URL: https://issues.apache.org/jira/browse/HIVE-15657
 Project: Hive
  Issue Type: Improvement
Reporter: Siddharth Seth


This can include information like the tables being processed, specific 
operations, etc. Maybe a sub-part of the explain plan?




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[GitHub] hive pull request #134: HIVE-15656: Place powermock in correct dependency ma...

2017-01-17 Thread anishek
GitHub user anishek opened a pull request:

https://github.com/apache/hive/pull/134

HIVE-15656: Place powermock in correct dependency management section root 
pom.xml

Also correcting the dependency for shims/common/pom.xml which was 
originally getting it from the root pom.xml  -->   
section. 

You can merge this pull request into a Git repository by running:

$ git pull https://github.com/anishek/hive HIVE-15656

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/hive/pull/134.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

This closes #134


commit ff3f05b4c2baa5f7daa4531f828d863a9b2a5365
Author: Anishek Agarwal 
Date:   2017-01-18T05:50:29Z

HIVE-15656: Place powermock in correct dependency management section root 
pom.xml




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[jira] [Created] (HIVE-15656) Remove Powermock from root pom.xml

2017-01-17 Thread anishek (JIRA)
anishek created HIVE-15656:
--

 Summary: Remove Powermock from root pom.xml
 Key: HIVE-15656
 URL: https://issues.apache.org/jira/browse/HIVE-15656
 Project: Hive
  Issue Type: Bug
  Components: Build Infrastructure
Reporter: anishek
Assignee: anishek
Priority: Minor


As part of committing  HIVE-15550 to master,  powermock was included in the 
root pom.xml. This should not be the case. This lead to build failures fixed in 
HIVE-15648.
This jira is to remove the powermock from the root pom.xml



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[jira] [Created] (HIVE-15655) Optimizer: Allow config option to disable n-way JOIN merging

2017-01-17 Thread Gopal V (JIRA)
Gopal V created HIVE-15655:
--

 Summary: Optimizer: Allow config option to disable n-way JOIN 
merging 
 Key: HIVE-15655
 URL: https://issues.apache.org/jira/browse/HIVE-15655
 Project: Hive
  Issue Type: Bug
  Components: Physical Optimizer
Affects Versions: 2.2.0
Reporter: Gopal V


N-way Joins in Tez produce bad runtime plans whenever they are left-outer joins 
with map-joins.

This is something which should have a safety setting.



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Review Request 55661: HIVE-15546: Optimize Utilities.getInputPaths() so each listStatus of a partition is done in parallel

2017-01-17 Thread Sahil Takiar

---
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/55661/
---

Review request for hive and Sergio Pena.


Bugs: HIVE-15546
https://issues.apache.org/jira/browse/HIVE-15546


Repository: hive-git


Description
---

HIVE-15546: Optimize Utilities.getInputPaths() so each listStatus of a 
partition is done in parallel


Diffs
-

  ql/src/java/org/apache/hadoop/hive/ql/exec/Utilities.java 0161c20 
  ql/src/test/org/apache/hadoop/hive/ql/exec/TestUtilities.java bd067aa 

Diff: https://reviews.apache.org/r/55661/diff/


Testing
---

Unit tests added


Thanks,

Sahil Takiar



[jira] [Created] (HIVE-15654) TezJobMonitor is not some headers to log file

2017-01-17 Thread Prasanth Jayachandran (JIRA)
Prasanth Jayachandran created HIVE-15654:


 Summary: TezJobMonitor is not some headers to log file
 Key: HIVE-15654
 URL: https://issues.apache.org/jira/browse/HIVE-15654
 Project: Hive
  Issue Type: Bug
Affects Versions: 2.2.0
Reporter: Sergey Shelukhin
Assignee: Prasanth Jayachandran


Some headers printed by TezJobMonitor goes only to console and not to log 
files. This results in empty headers when HS2 operation logging is enabled. 
Something like
{code}
INFO  : LLAP IO Summary
INFO  : 
--
INFO  : 
--
INFO  :  Map 13010  0  131.78KB 0B  
0B   0B 0.06s
INFO  : 
--
INFO  : 
INFO  : FileSystem Counters Summary
INFO  : 
INFO  : 
--
INFO  : 
--
INFO  :  Map 1320B 0  0 
1.84KB 0
INFO  :  Reducer 2  0B 0  0 
0B 0
INFO  : 
--
{code}



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Review Request 55660: Hive can not use "," in quoted column name

2017-01-17 Thread pengcheng xiong

---
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/55660/
---

Review request for hive and Ashutosh Chauhan.


Repository: hive-git


Description
---

HIVE-15591


Diffs
-

  contrib/src/java/org/apache/hadoop/hive/contrib/serde2/RegexSerDe.java 
8defe34 
  contrib/src/java/org/apache/hadoop/hive/contrib/serde2/TypedBytesSerDe.java 
5a018ae 
  
hcatalog/core/src/main/java/org/apache/hive/hcatalog/data/HCatRecordSerDe.java 
235d186 
  hcatalog/core/src/main/java/org/apache/hive/hcatalog/data/JsonSerDe.java 
ef17079 
  
hcatalog/core/src/main/java/org/apache/hive/hcatalog/mapreduce/InternalUtil.java
 1230795 
  
itests/custom-serde/src/main/java/org/apache/hadoop/hive/serde2/CustomSerDe1.java
 c28f096 
  
itests/custom-serde/src/main/java/org/apache/hadoop/hive/serde2/CustomSerDe2.java
 05d0590 
  
itests/custom-serde/src/main/java/org/apache/hadoop/hive/serde2/CustomSerDe3.java
 311718e 
  
itests/custom-serde/src/main/java/org/apache/hadoop/hive/serde2/CustomSerDe4.java
 3504f5b 
  
itests/custom-serde/src/main/java/org/apache/hadoop/hive/serde2/CustomSerDe5.java
 670e5f2 
  metastore/src/java/org/apache/hadoop/hive/metastore/MetaStoreUtils.java 
4aea152 
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/OrcOutputFormat.java b0f8c8b 
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/OrcSerde.java 3ec9105 
  
ql/src/java/org/apache/hadoop/hive/ql/io/parquet/MapredParquetOutputFormat.java 
bfb48a9 
  ql/src/java/org/apache/hadoop/hive/ql/io/parquet/serde/ParquetHiveSerDe.java 
5870a50 
  ql/src/java/org/apache/hadoop/hive/ql/plan/PlanUtils.java d3a1528 
  ql/src/test/queries/clientpositive/comma_in_column_name.q PRE-CREATION 
  ql/src/test/results/clientpositive/comma_in_column_name.q.out PRE-CREATION 
  serde/if/serde.thrift 6caad36 
  serde/src/gen/thrift/gen-cpp/serde_constants.h a5f33fb 
  serde/src/gen/thrift/gen-cpp/serde_constants.cpp 3a675bf 
  
serde/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/serde/serdeConstants.java
 04ed8f5 
  serde/src/gen/thrift/gen-php/org/apache/hadoop/hive/serde/Types.php 18c3991 
  serde/src/gen/thrift/gen-py/org_apache_hadoop_hive_serde/constants.py fafdc24 
  serde/src/gen/thrift/gen-rb/serde_constants.rb 0ce9f27 
  serde/src/java/org/apache/hadoop/hive/serde2/MetadataTypedColumnsetSerDe.java 
551a9da 
  serde/src/java/org/apache/hadoop/hive/serde2/RegexSerDe.java 752b907 
  serde/src/java/org/apache/hadoop/hive/serde2/SerDeUtils.java 7ffc964 
  serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerDe.java 0be54e0 
  serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java b6b23c2 
  
serde/src/java/org/apache/hadoop/hive/serde2/binarysortable/BinarySortableSerDe.java
 0a035c6 
  serde/src/java/org/apache/hadoop/hive/serde2/lazy/LazySerDeParameters.java 
7232d0b 
  serde/src/java/org/apache/hadoop/hive/serde2/lazybinary/LazyBinarySerDe.java 
99abb5d 
  
serde/src/java/org/apache/hadoop/hive/serde2/thrift/ThriftJDBCBinarySerDe.java 
5c31974 

Diff: https://reviews.apache.org/r/55660/diff/


Testing
---


Thanks,

pengcheng xiong



[jira] [Created] (HIVE-15653) Some ALTER TABLE commands drop table stats

2017-01-17 Thread Alexander Behm (JIRA)
Alexander Behm created HIVE-15653:
-

 Summary: Some ALTER TABLE commands drop table stats
 Key: HIVE-15653
 URL: https://issues.apache.org/jira/browse/HIVE-15653
 Project: Hive
  Issue Type: Bug
  Components: Metastore
Affects Versions: 1.1.0
Reporter: Alexander Behm
Priority: Critical


Some ALTER TABLE commands drop the table stats. That may make sense for some 
ALTER TABLE operations, but certainly not for others. Personally, I I think 
ALTER TABLE should only change what was requested by the user without any side 
effects that may be unclear to users. In particular, collecting stats can be an 
expensive operation so it's rather inconvenient for users if they get wiped 
accidentally.

Repro:
{code}
create table t (i int);
insert into t values(1);
analyze table t compute statistics;
alter table t set tblproperties('test'='test');
hive> describe formatted t;
OK
# col_name  data_type   comment 
 
i   int 
 
# Detailed Table Information 
Database:   default  
Owner:  abehm
CreateTime: Tue Jan 17 18:13:34 PST 2017 
LastAccessTime: UNKNOWN  
Protect Mode:   None 
Retention:  0
Location:   hdfs://localhost:20500/test-warehouse/t  
Table Type: MANAGED_TABLE
Table Parameters:
COLUMN_STATS_ACCURATE   false   
last_modified_byabehm   
last_modified_time  1484705748  
numFiles1   
numRows -1  
rawDataSize -1  
testtest
totalSize   2   
transient_lastDdlTime   1484705748  
 
# Storage Information
SerDe Library:  org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe  
 
InputFormat:org.apache.hadoop.mapred.TextInputFormat 
OutputFormat:   
org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat   
Compressed: No   
Num Buckets:-1   
Bucket Columns: []   
Sort Columns:   []   
Storage Desc Params: 
serialization.format1   
Time taken: 0.169 seconds, Fetched: 34 row(s)
{code}

The same behavior can be observed with several other ALTER TABLE commands.




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[jira] [Created] (HIVE-15652) Optimize(reduce) the number of alter calls made to fix repl.last.id

2017-01-17 Thread Sushanth Sowmyan (JIRA)
Sushanth Sowmyan created HIVE-15652:
---

 Summary: Optimize(reduce) the number of alter calls made to fix 
repl.last.id
 Key: HIVE-15652
 URL: https://issues.apache.org/jira/browse/HIVE-15652
 Project: Hive
  Issue Type: Bug
Reporter: Sushanth Sowmyan
Assignee: Sushanth Sowmyan


Per code review from HIVE-15534, we might be doing alters to parent objects to 
set repl.last.id when it is not necessary, since some future event might make 
this alter redundant.

There are 3 cases where this might happen:

a) After a CREATE_TABLE event - any prior reference to that table does not need 
an ALTER, since CREATE_TABLE will have a repl.last.id come with it.
b) After a DROP_TABLE event - any prior reference to that table is irrelevant, 
and thus, no alter is needed.
c) After an ALTER_TABLE event, since that dump will itself do a metadata update 
that will get the latest repl.last.id along with this event.

In each of these cases, we can remove the alter call needed.



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[jira] [Created] (HIVE-15651) LLAP: llap status tool enhancements

2017-01-17 Thread Prasanth Jayachandran (JIRA)
Prasanth Jayachandran created HIVE-15651:


 Summary: LLAP: llap status tool enhancements
 Key: HIVE-15651
 URL: https://issues.apache.org/jira/browse/HIVE-15651
 Project: Hive
  Issue Type: Bug
  Components: llap
Affects Versions: 2.2.0
Reporter: Prasanth Jayachandran
Assignee: Prasanth Jayachandran


Per [~sseth] following enhancements can be made to llap status tool
1) If state changes from an ACTIVE state to STOPPED - terminate the script 
immediately (fail fast)
2) Add a threshold of what is acceptable in terms of the running state - 
RUNNING_PARTIAL may be ok if 80% nodes are up for example.



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[jira] [Created] (HIVE-15650) LLAP: Set perflogger to DEBUG level for llap daemons

2017-01-17 Thread Prasanth Jayachandran (JIRA)
Prasanth Jayachandran created HIVE-15650:


 Summary: LLAP: Set perflogger to DEBUG level for llap daemons
 Key: HIVE-15650
 URL: https://issues.apache.org/jira/browse/HIVE-15650
 Project: Hive
  Issue Type: Bug
  Components: llap, Logging
Affects Versions: 2.2.0
Reporter: Gopal V
Assignee: Prasanth Jayachandran


During Hive2 dev, the PerfLogger was moved to DEBUG levels only making it 
impossible to debug timings from LLAP logs without manually editing 
log4j2.properties and redeploying LLAP.
Enable PerfLogger by default on LLAP.



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[jira] [Created] (HIVE-15649) LLAP IO may NPE on all-column read

2017-01-17 Thread Sergey Shelukhin (JIRA)
Sergey Shelukhin created HIVE-15649:
---

 Summary: LLAP IO may NPE on all-column read
 Key: HIVE-15649
 URL: https://issues.apache.org/jira/browse/HIVE-15649
 Project: Hive
  Issue Type: Bug
Reporter: Sergey Shelukhin
Assignee: Sergey Shelukhin


It seems like very few paths use READ_ALL_COLUMNS config, but some do. LLAP IO 
doesn't account for that.



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Re: Review Request 55623: HIVE-15617: Improve the avg performance for Range based window

2017-01-17 Thread Aihua Xu


> On Jan. 17, 2017, 3:46 p.m., Yongzhi Chen wrote:
> > ql/src/java/org/apache/hadoop/hive/ql/udf/ptf/BasePartitionEvaluator.java, 
> > line 132
> > 
> >
> > Is that possible sum is not null, numRows == 0 ?

I was also thinking about that. :) I checked the logic. Seems if numRows == 0, 
then sum should be null. We shouldn't run into sum / 0 situation.


- Aihua


---
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/55623/#review161875
---


On Jan. 17, 2017, 3:02 p.m., Aihua Xu wrote:
> 
> ---
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/55623/
> ---
> 
> (Updated Jan. 17, 2017, 3:02 p.m.)
> 
> 
> Review request for hive.
> 
> 
> Repository: hive-git
> 
> 
> Description
> ---
> 
> HIVE-15617: Improve the avg performance for Range based window
> 
> 
> Diffs
> -
> 
>   ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFAverage.java 
> 5ad5c0628f19dabf17191c08e0b14f8e2b1391e8 
>   ql/src/java/org/apache/hadoop/hive/ql/udf/ptf/BasePartitionEvaluator.java 
> f5f9f7bb8980636fa364001c5508c215b304b9eb 
> 
> Diff: https://reviews.apache.org/r/55623/diff/
> 
> 
> Testing
> ---
> 
> 
> Thanks,
> 
> Aihua Xu
> 
>



Re: Review Request 55623: HIVE-15617: Improve the avg performance for Range based window

2017-01-17 Thread Yongzhi Chen

---
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/55623/#review161875
---




ql/src/java/org/apache/hadoop/hive/ql/udf/ptf/BasePartitionEvaluator.java (line 
132)


Is that possible sum is not null, numRows == 0 ?


- Yongzhi Chen


On Jan. 17, 2017, 3:02 p.m., Aihua Xu wrote:
> 
> ---
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/55623/
> ---
> 
> (Updated Jan. 17, 2017, 3:02 p.m.)
> 
> 
> Review request for hive.
> 
> 
> Repository: hive-git
> 
> 
> Description
> ---
> 
> HIVE-15617: Improve the avg performance for Range based window
> 
> 
> Diffs
> -
> 
>   ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFAverage.java 
> 5ad5c0628f19dabf17191c08e0b14f8e2b1391e8 
>   ql/src/java/org/apache/hadoop/hive/ql/udf/ptf/BasePartitionEvaluator.java 
> f5f9f7bb8980636fa364001c5508c215b304b9eb 
> 
> Diff: https://reviews.apache.org/r/55623/diff/
> 
> 
> Testing
> ---
> 
> 
> Thanks,
> 
> Aihua Xu
> 
>



Review Request 55623: HIVE-15617: Improve the avg performance for Range based window

2017-01-17 Thread Aihua Xu

---
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/55623/
---

Review request for hive.


Repository: hive-git


Description
---

HIVE-15617: Improve the avg performance for Range based window


Diffs
-

  ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFAverage.java 
5ad5c0628f19dabf17191c08e0b14f8e2b1391e8 
  ql/src/java/org/apache/hadoop/hive/ql/udf/ptf/BasePartitionEvaluator.java 
f5f9f7bb8980636fa364001c5508c215b304b9eb 

Diff: https://reviews.apache.org/r/55623/diff/


Testing
---


Thanks,

Aihua Xu



Re: Review Request 55605: HIVE-15166 - Provide beeline option to set the jline history max size

2017-01-17 Thread Aihua Xu

---
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/55605/#review161864
---




beeline/src/java/org/apache/hive/beeline/BeeLine.java (line 1185)


FileHistory implementation will load 500 (default) lines during this 
constructor (it's the limitation of FileHistory) and then will resize to the 
specified size.

Potentially there is a problem to see OOM, but I guess that's the best we 
can do right now to limit the output. The user in general wouldn't edit the 
history file.


- Aihua Xu


On Jan. 17, 2017, 7:22 a.m., Eric Lin wrote:
> 
> ---
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/55605/
> ---
> 
> (Updated Jan. 17, 2017, 7:22 a.m.)
> 
> 
> Review request for hive and Aihua Xu.
> 
> 
> Bugs: HIVE-15166
> https://issues.apache.org/jira/browse/HIVE-15166
> 
> 
> Repository: hive-git
> 
> 
> Description
> ---
> 
> Currently Beeline does not provide an option to limit the max size for 
> beeline history file, in the case that each query is very big, it will flood 
> the history file and slow down beeline on start up and shutdown.
> 
> 
> Diffs
> -
> 
>   beeline/src/java/org/apache/hive/beeline/BeeLine.java 65818dd 
>   beeline/src/java/org/apache/hive/beeline/BeeLineOpts.java 9f330e3 
>   beeline/src/main/resources/BeeLine.properties 141f0c6 
>   beeline/src/test/org/apache/hive/beeline/TestBeelineArgParsing.java d73d374 
> 
> Diff: https://reviews.apache.org/r/55605/diff/
> 
> 
> Testing
> ---
> 
> Manual testing + a simple test case.
> 
> 
> Thanks,
> 
> Eric Lin
> 
>



Re: Review Request 55605: HIVE-15166 - Provide beeline option to set the jline history max size

2017-01-17 Thread Aihua Xu

---
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/55605/#review161865
---


Ship it!




Ship It!

- Aihua Xu


On Jan. 17, 2017, 7:22 a.m., Eric Lin wrote:
> 
> ---
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/55605/
> ---
> 
> (Updated Jan. 17, 2017, 7:22 a.m.)
> 
> 
> Review request for hive and Aihua Xu.
> 
> 
> Bugs: HIVE-15166
> https://issues.apache.org/jira/browse/HIVE-15166
> 
> 
> Repository: hive-git
> 
> 
> Description
> ---
> 
> Currently Beeline does not provide an option to limit the max size for 
> beeline history file, in the case that each query is very big, it will flood 
> the history file and slow down beeline on start up and shutdown.
> 
> 
> Diffs
> -
> 
>   beeline/src/java/org/apache/hive/beeline/BeeLine.java 65818dd 
>   beeline/src/java/org/apache/hive/beeline/BeeLineOpts.java 9f330e3 
>   beeline/src/main/resources/BeeLine.properties 141f0c6 
>   beeline/src/test/org/apache/hive/beeline/TestBeelineArgParsing.java d73d374 
> 
> Diff: https://reviews.apache.org/r/55605/diff/
> 
> 
> Testing
> ---
> 
> Manual testing + a simple test case.
> 
> 
> Thanks,
> 
> Eric Lin
> 
>



[jira] [Created] (HIVE-15648) Hive throws compilation error due to $powermock.version not being present in root pom

2017-01-17 Thread Vaibhav Gumashta (JIRA)
Vaibhav Gumashta created HIVE-15648:
---

 Summary: Hive throws compilation error due to $powermock.version 
not being present in root pom
 Key: HIVE-15648
 URL: https://issues.apache.org/jira/browse/HIVE-15648
 Project: Hive
  Issue Type: Bug
Affects Versions: 2.2.0
Reporter: Vaibhav Gumashta
Assignee: Vaibhav Gumashta






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[jira] [Created] (HIVE-15647) Combination of a boolean condition and null-safe comparison leads to NPE

2017-01-17 Thread Remus Rusanu (JIRA)
Remus Rusanu created HIVE-15647:
---

 Summary: Combination of a boolean condition and null-safe 
comparison leads to NPE
 Key: HIVE-15647
 URL: https://issues.apache.org/jira/browse/HIVE-15647
 Project: Hive
  Issue Type: Bug
  Components: Query Processor
Reporter: Remus Rusanu
Assignee: Remus Rusanu


Here's a simple example with the foodmart database:

{code}
hive> explain select count(*) from
> sales_fact_1997 join store on sales_fact_1997.store_id = store.store_id
> where ((store.salad_bar)) and ((store_number) <=> (customer_id));
FAILED: NullPointerException null
{code}

This happens on trunk and on HDP 2.5.3 / Hive 2. If you use = the NPE doesn't 
happen. If you remove the boolean condition the NPE doesn't happen.

{code}
FAILED: NullPointerException null
2016-12-13T18:23:33,604 ERROR [c4b7242e-1252-4709-8adf-22f631af75e8 main] 
ql.Driver: FAILED: NullPointerException null
java.lang.NullPointerException
at 
org.apache.hadoop.hive.ql.optimizer.ConstantPropagateProcFactory$ConstantPropagateFilterProc.process(ConstantPropagateProcFactory.java:1047)
at 
org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher.dispatch(DefaultRuleDispatcher.java:90)
at 
org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatchAndReturn(DefaultGraphWalker.java:105)
at 
org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatch(DefaultGraphWalker.java:89)
at 
org.apache.hadoop.hive.ql.optimizer.ConstantPropagate$ConstantPropagateWalker.walk(ConstantPropagate.java:151)
at 
org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.startWalking(DefaultGraphWalker.java:120)
at 
org.apache.hadoop.hive.ql.optimizer.ConstantPropagate.transform(ConstantPropagate.java:120)
at 
org.apache.hadoop.hive.ql.optimizer.Optimizer.optimize(Optimizer.java:242)
at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.analyzeInternal(SemanticAnalyzer.java:10913)
at 
org.apache.hadoop.hive.ql.parse.CalcitePlanner.analyzeInternal(CalcitePlanner.java:246)
at 
org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:250)
at 
org.apache.hadoop.hive.ql.parse.ExplainSemanticAnalyzer.analyzeInternal(ExplainSemanticAnalyzer.java:75)
at 
org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:250)
at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:435)
at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:326)
at org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1169)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1262)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1095)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1083)
at 
org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:232)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:183)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:399)
at 
org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:776)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:714)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:641)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.RunJar.run(RunJar.java:233)
at org.apache.hadoop.util.RunJar.main(RunJar.java:148)
{code}



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