Hive Error: FAILED: SemanticException [Error 10017]: Line 4:28 Both left and right aliases encountered in JOIN 'status_cd'

both left and right aliases encountered in join hive
hive inequality join

I have the following query in HIVE which throwing "FAILED: SemanticException [Error 10017]: Line 4:28 Both left and right aliases encountered in JOIN 'status_cd'" Error.

Whole query seems to be correct, I executed similar query in MYSQL also which is working fine. Only in Hive it throwing error.

Is there any limitation in HIVE which causing the problem.

Please look into below query, Any help will be appreciated.

INSERT INTO TABLE stg_dim_gate_package SELECT
    `16_1693_418`.`package_id` AS `6896_package_id`,
    `16_1723_432`.`status_cd` AS `7075_status_cd`,
    `16_1723_432`.`load_dt` AS `7076_load_dt`,
    `16_1723_432`.`mod_dt` AS `7077_mod_dt`,
    (
        COUNT(`16_1693_418`.`package_id`)
    ) AS `7078_package_count`
FROM
    `16_1693_418`
LEFT JOIN `16_1723_432` ON `16_1693_418`.`candidateid` > `16_1723_432`.`status_cd`
GROUP BY
    `16_1693_418`.`package_id`,
    `16_1723_432`.`status_cd`,
    `16_1723_432`.`load_dt`,
    `16_1723_432`.`mod_dt`;

Hive currently support only EQUIJOIN. Thus you can't use ON tableA.col1 > tableB.col2, but you can only do ON tableA.col1 = tableB.col2.

Then, to achive your goal, you have to rewrite the query, using a case statement to handle the SEMIJOIN...

Both left and right aliases encountered in Hive JOIN; without any , Try to move the inequality condition from on clause to the where condition . Select S.MDSE_ITEM_I,S.CO_LOC_I, MAX(S.SLS_D) as  Problem Note 64343: A PROC SQL query that joins multiple Hive tables results in "Execute error: Error while compiling statement: FAILED: SemanticException[Error 10017]"

Hive supports only equi join . Any condition other than the equi join can be put in the where clause.

64343, An SQL procedure query that accesses Hive might result in an error while compiling statement: FAILED: SemanticException[Error 10017]" [Error 10017]: Line 1:157 Both left and right aliases encountered in JOIN 'xxxx'. @Simran Kaur. Seems like TotalRecords is a keyword. Try using TotalRecords_1 and see if it helps. Thanks and Regards, Sindhu

Only JOIN supports:

> and <

Only LEFT JOIN and RIGHT JOIN do support: EQUIJOIN

Re: Both Left and Right Aliases Encountered in Join, Subject, Re: Both Left and Right Aliases Encountered in Join wrote: > ** > Hi > > AFAIK hive supports only equi joins. Can you check whether changing that > <= to = , removes the semantic error? > error like this- > > *FAILED: Error in semantic analysis: Both Left and Right Aliases > Encountered in Join  Only equality joins, outer joins, and left semi joins are supported in Hive. Hive does not support join conditions that are not equality conditions as it is very difficult to express such conditions as a map/reduce job.

hive query with between in join working in llap bu, Subject, Re: Both Left and Right Aliases Encountered in Join. Date, Fri, 20 Jul 2012 22:49:49 GMT. Hi AFAIK hive supports only equi joins. Can you check whether changing that <= to = , removes the semantic error? getting error like this- *FAILED: Error in semantic analysis: Both Left and Right Aliases Encountered in Join  Hive; HIVE-8805; CBO skipped due to SemanticException: Line 0:-1 Both left and right aliases encountered in JOIN 'avg_cs_ext_discount_amt'

Hive Basics · GitHub, Error: Error while compiling statement: FAILED: SemanticException Line 0:-1 Both left and right aliases encountered in JOIN 'obsv_stop_ts'  @sagi..Query1 : I can do that using union in hive as hive not supported union all. But I want to do that not using union in Hive. Query2: Hive not supported Case. 2nd query is not working in Hive – Avijit Sep 5 '16 at 13:39

Hive SQL: слева и справа псевдонимы встреченных в , FAILED: SemanticException [Error 10017]: Line 1:51 Both left and right aliases encountered in JOIN 'id'. hive> select * from cust_credit cc join  Similarly, there is little to nothing to do to start using Hive immediately. Just make sure that on the filesystem used by Hadoop, the directory /user/hive/warehouse exists. So in local mode for example, just run: $ sudo mkdir -p /user/hive/warehouse $ sudo chmod a+rwx /user/hive/warehouse And then again, to use Hive from anywhere:

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  • LEFT JOIN columnA > columnB seems to be incorrect