I'm trying to execute hive sql on spark sql (Also on spark thriftserver), For
optimizing data skew, we use "case when" to handle null.
Simple sql as following:
SELECT a.col1
FROM tbl1 a
LEFT OUTER JOIN tbl2 b
ON
* CASE
WHEN a.col2 IS NULL
TNEN cast(rand(9)*1000 - 9999999999 as string)
ELSE
a.col2 END *
= b.col3;
But I get the error:
== Physical Plan ==
*org.apache.spark.sql.AnalysisException: nondeterministic expressions are
only allowed in
Project, Filter, Aggregate or Window, found:*
(((CASE WHEN (a.`nav_tcdt` IS NULL) THEN CAST(((rand(9) * CAST(1000 AS
DOUBLE)) - CAST(9999999999L AS DOUBLE)) AS STRING) ELSE a.`nav_tcdt` END =
c.`site_categ_id`) AND (CAST(a.`nav_tcd` AS INT) = 9)) AND (c.`cur_flag` =
1))
in operator Join LeftOuter, (((CASE WHEN isnull(nav_tcdt#25) THEN
cast(((rand(9) * cast(1000 as double)) - cast(9999999999 as double)) as
string) ELSE nav_tcdt#25 END = site_categ_id#80) && (cast(nav_tcd#26 as int)
= 9)) && (cur_flag#77 = 1))
;;
GlobalLimit 10
+- LocalLimit 10
+- Aggregate [date_id#7, CASE WHEN (cast(city_id#10 as string) IN
(cast(19596 as string),cast(20134 as string),cast(10997 as string)) &&
nav_tcdt#25 RLIKE ^[0-9]+$) THEN city_id#10 ELSE nav_tpa_id#21 END],
[date_id#7]
+- Filter (date_id#7 = 2017-07-12)
+- Join LeftOuter, (((CASE WHEN isnull(nav_tcdt#25) THEN
cast(((rand(9) * cast(1000 as double)) - cast(9999999999 as double)) as
string) ELSE nav_tcdt#25 END = site_categ_id#80) && (cast(nav_tcd#26 as int)
= 9)) && (cur_flag#77 = 1))
:- SubqueryAlias a
: +- SubqueryAlias tmp_lifan_trfc_tpa_hive
: +- CatalogRelation `tmp`.`tmp_lifan_trfc_tpa_hive`,
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [date_id#7, chanl_id#8L,
pltfm_id#9, city_id#10, sessn_id#11, gu_id#12, nav_refer_page_type_id#13,
nav_refer_page_value#14, nav_refer_tpa#15, nav_refer_tpa_id#16,
nav_refer_tpc#17, nav_refer_tpi#18, nav_page_type_id#19, nav_page_value#20,
nav_tpa_id#21, nav_tpa#22, nav_tpc#23, nav_tpi#24, nav_tcdt#25, nav_tcd#26,
nav_tci#27, nav_tce#28, detl_refer_page_type_id#29,
detl_refer_page_value#30, ... 33 more fields]
+- SubqueryAlias c
+- SubqueryAlias dim_site_categ_ext
+- CatalogRelation `dw`.`dim_site_categ_ext`,
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [site_categ_skid#64L,
site_categ_type#65, site_categ_code#66, site_categ_name#67,
site_categ_parnt_skid#68L, site_categ_kywrd#69, leaf_flg#70L, sort_seq#71L,
site_categ_srch_name#72, vsbl_flg#73, delet_flag#74, etl_batch_id#75L,
updt_time#76, cur_flag#77, bkgrnd_categ_skid#78L, bkgrnd_categ_id#79L,
site_categ_id#80, site_categ_parnt_id#81]
Does spark sql not support syntax "case when" in JOIN? Additional, my spark
version is 2.2.0.
Any help would be greatly appreciated.
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