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Posted to issues@spark.apache.org by "Mostafa Shahdadi (JIRA)" <ji...@apache.org> on 2017/01/26 21:16:24 UTC
[jira] [Created] (SPARK-19376) CLONE - CheckAnalysis rejects TPCDS
query 32
Mostafa Shahdadi created SPARK-19376:
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Summary: CLONE - CheckAnalysis rejects TPCDS query 32
Key: SPARK-19376
URL: https://issues.apache.org/jira/browse/SPARK-19376
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.1.0
Reporter: Mostafa Shahdadi
Assignee: Nattavut Sutyanyong
Priority: Blocker
Fix For: 2.1.0
It seems the CheckAnalysis rule introduced by SPARK-18504 is incorrect rejecting this TPCDS query, which ran fine in Spark 2.0. There doesn't seem to be any obvious error in the query or the check rule though: in the plan below, the scalar subquery's condition field is "scalar-subquery#24 [(cs_item_sk#39#111 = i_item_sk#59)] ", which should reference cs_item_sk#39. Nonetheless CheckAnalysis complains that cs_item_sk#39 is not referenced by the scalar subquery predicates.
analysis error:
{code}
== Query: q32-v1.4 ==
Can't be analyzed: org.apache.spark.sql.AnalysisException: a GROUP BY clause in a scalar correlated subquery cannot contain non-correlated columns: cs_item_sk#39;;
GlobalLimit 100
+- LocalLimit 100
+- Aggregate [sum(cs_ext_discount_amt#46) AS excess discount amount#23]
+- Filter ((((i_manufact_id#72 = 977) && (i_item_sk#59 = cs_item_sk#39)) && ((d_date#83 >= 2000-01-27) && (d_date#83 <= cast(cast(cast(cast(2000-01-27 as date) as timestamp) + interval 12 weeks 6 days as date) as string)))) && ((d_date_sk#81 = cs_sold_date_sk#58) && (cast(cs_ext_discount_amt#46 as decimal(14,7)) > cast(scalar-subquery#24 [(cs_item_sk#39#111 = i_item_sk#59)] as decimal(14,7)))))
: +- Project [(CAST(1.3 AS DECIMAL(11,6)) * CAST(avg(cs_ext_discount_amt) AS DECIMAL(11,6)))#110, cs_item_sk#39 AS cs_item_sk#39#111]
: +- Aggregate [cs_item_sk#39], [CheckOverflow((promote_precision(cast(1.3 as decimal(11,6))) * promote_precision(cast(avg(cs_ext_discount_amt#46) as decimal(11,6)))), DecimalType(14,7)) AS (CAST(1.3 AS DECIMAL(11,6)) * CAST(avg(cs_ext_discount_amt) AS DECIMAL(11,6)))#110, cs_item_sk#39]
: +- Filter (((d_date#83 >= 2000-01-27]) && (d_date#83 <= cast(cast(cast(cast(2000-01-27 as date) as timestamp) + interval 12 weeks 6 days as date) as string))) && (d_date_sk#81 = cs_sold_date_sk#58))
: +- Join Inner
: :- SubqueryAlias catalog_sales
: : +- Relation[cs_sold_time_sk#25,cs_ship_date_sk#26,cs_bill_customer_sk#27,cs_bill_cdemo_sk#28,cs_bill_hdemo_sk#29,cs_bill_addr_sk#30,cs_ship_customer_sk#31,cs_ship_cdemo_sk#32,cs_ship_hdemo_sk#33,cs_ship_addr_sk#34,cs_call_center_sk#35,cs_catalog_page_sk#36,cs_ship_mode_sk#37,cs_warehouse_sk#38,cs_item_sk#39,cs_promo_sk#40,cs_order_number#41,cs_quantity#42,cs_wholesale_cost#43,cs_list_price#44,cs_sales_price#45,cs_ext_discount_amt#46,cs_ext_sales_price#47,cs_ext_wholesale_cost#48,... 10 more fields] parquet
: +- SubqueryAlias date_dim
: +- Relation[d_date_sk#81,d_date_id#82,d_date#83,d_month_seq#84,d_week_seq#85,d_quarter_seq#86,d_year#87,d_dow#88,d_moy#89,d_dom#90,d_qoy#91,d_fy_year#92,d_fy_quarter_seq#93,d_fy_week_seq#94,d_day_name#95,d_quarter_name#96,d_holiday#97,d_weekend#98,d_following_holiday#99,d_first_dom#100,d_last_dom#101,d_same_day_ly#102,d_same_day_lq#103,d_current_day#104,... 4 more fields] parquet
+- Join Inner
:- Join Inner
: :- SubqueryAlias catalog_sales
: : +- Relation[cs_sold_time_sk#25,cs_ship_date_sk#26,cs_bill_customer_sk#27,cs_bill_cdemo_sk#28,cs_bill_hdemo_sk#29,cs_bill_addr_sk#30,cs_ship_customer_sk#31,cs_ship_cdemo_sk#32,cs_ship_hdemo_sk#33,cs_ship_addr_sk#34,cs_call_center_sk#35,cs_catalog_page_sk#36,cs_ship_mode_sk#37,cs_warehouse_sk#38,cs_item_sk#39,cs_promo_sk#40,cs_order_number#41,cs_quantity#42,cs_wholesale_cost#43,cs_list_price#44,cs_sales_price#45,cs_ext_discount_amt#46,cs_ext_sales_price#47,cs_ext_wholesale_cost#48,... 10 more fields] parquet
: +- SubqueryAlias item
: +- Relation[i_item_sk#59,i_item_id#60,i_rec_start_date#61,i_rec_end_date#62,i_item_desc#63,i_current_price#64,i_wholesale_cost#65,i_brand_id#66,i_brand#67,i_class_id#68,i_class#69,i_category_id#70,i_category#71,i_manufact_id#72,i_manufact#73,i_size#74,i_formulation#75,i_color#76,i_units#77,i_container#78,i_manager_id#79,i_product_name#80] parquet
+- SubqueryAlias date_dim
+- Relation[d_date_sk#81,d_date_id#82,d_date#83,d_month_seq#84,d_week_seq#85,d_quarter_seq#86,d_year#87,d_dow#88,d_moy#89,d_dom#90,d_qoy#91,d_fy_year#92,d_fy_quarter_seq#93,d_fy_week_seq#94,d_day_name#95,d_quarter_name#96,d_holiday#97,d_weekend#98,d_following_holiday#99,d_first_dom#100,d_last_dom#101,d_same_day_ly#102,d_same_day_lq#103,d_current_day#104,... 4 more fields] parquet
{code}
query text:
{code}
select sum(cs_ext_discount_amt) as `excess discount amount`
from
catalog_sales, item, date_dim
where
i_manufact_id = 977
and i_item_sk = cs_item_sk
and d_date between '2000-01-27' and (cast('2000-01-27' as date) + interval 90 days)
and d_date_sk = cs_sold_date_sk
and cs_ext_discount_amt > (
select 1.3 * avg(cs_ext_discount_amt)
from catalog_sales, date_dim
where cs_item_sk = i_item_sk
and d_date between '2000-01-27]' and (cast('2000-01-27' as date) + interval 90 days)
and d_date_sk = cs_sold_date_sk)
limit 100
{code}
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