[ https://issues.apache.org/jira/browse/IMPALA-5136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Henry Robinson resolved IMPALA-5136. ------------------------------------ Resolution: Duplicate Fix Version/s: Impala 2.10.0 Seems to be same root cause as IMPALA-5093. > Running 48 concurrent Q17 queries against TPC-DS 1TB queries fail with Cannot > process row that is bigger than the IO size (row_size=1.55 GB, > null_indicators_size=0) > -------------------------------------------------------------------------------------------------------------------------------------------------------------------- > > Key: IMPALA-5136 > URL: https://issues.apache.org/jira/browse/IMPALA-5136 > Project: IMPALA > Issue Type: Sub-task > Components: Distributed Exec > Affects Versions: Impala 2.9.0 > Reporter: Mostafa Mokhtar > Assignee: Henry Robinson > Fix For: Impala 2.10.0 > > > Running 48 concurrent queries from TPC-DS Q17 against a 16 node cluster > queries failed with > Cannot process row that is bigger than the IO size (row_size=1.02 GB, > null_indicators_size=0). To run this query, increase the IO size (--read_size > option). > Cannot process row that is bigger than the IO size (row_size=1.55 GB, > null_indicators_size=0). To run this query, increase the IO size (--read_size > option). > Other iterations of the query failed with > {code} > Remote error: Service unavailable: ReportExecStatus request on > impala.ExecControlService from 10.17.193.20:55530 dropped due to > backpressure. The service queue is full; it has 1024 items. > Timed out: ReportExecStatus RPC to 10.17.193.10:22000 timed out after 10.000s > (SENT) > {code} > {code} > select i_item_id ,i_item_desc ,s_state ,count(ss_quantity) as > store_sales_quantitycount ,avg(ss_quantity) as store_sales_quantityave > ,stddev_samp(ss_quantity) as store_sales_quantitystdev > ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov > ,count(sr_return_quantity) as store_returns_quantitycount > ,avg(sr_return_quantity) as store_returns_quantityave > ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev > ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as > store_returns_quantitycov ,count(cs_quantity) as catalog_sales_quantitycount > ,avg(cs_quantity) as catalog_sales_quantityave ,stddev_samp(cs_quantity) as > catalog_sales_quantitystdev ,stddev_samp(cs_quantity)/avg(cs_quantity) as > catalog_sales_quantitycov from store_sales ,store_returns ,catalog_sales > ,date_dim d1 ,date_dim d2 ,date_dim d3 ,store ,item where d1.d_quarter_name = > '2000Q1' and d1.d_date_sk = ss_sold_date_sk and i_item_sk = ss_item_sk and > s_store_sk = ss_store_sk and ss_customer_sk = sr_customer_sk and ss_item_sk = > sr_item_sk and ss_ticket_number = sr_ticket_number and sr_returned_date_sk = > d2.d_date_sk and d2.d_quarter_name in ('2000Q1','2000Q2','2000Q3') and > sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk and > cs_sold_date_sk = d3.d_date_sk and d3.d_quarter_name in > ('2000Q1','2000Q2','2000Q3') group by i_item_id ,i_item_desc ,s_state order > by i_item_id ,i_item_desc ,s_state limit 100 > {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346)