deemoliu opened a new issue, #8579:
URL: https://github.com/apache/pinot/issues/8579
We lose some data after migrating table to another tenant and rebalancing
with downtime (no server restart). Is server restart a required step after
migrating table to another tenant?
We did the following operation to move a table to another tenant
1. update tenant server in table config.
2. rebalance table with downtime.
After rebalanced, the below queries doesn't return result as expected.
`select count(0), datestr from
rta.rta.panorama_city_minute_metrics
where datestr>=‘2022-03-28’
group by 2 order by 2`
the result is as follows
`
count(*) | datestr
1761336 | 2022-03-28
1438965 | 2022-03-30
1751511 | 2022-03-31
1789216 | 2022-04-01
1796171 | 2022-04-02
1772584 | 2022-04-03
1756764 | 2022-04-04
1756555 | 2022-04-05
`
We have rerun the hive to pinot pipelines multiple times (without restarting
server), the data on 03-29 is still not queryable.
Queries will return different number of records. sometime 03-30 data is also
missing. In external view each servers has three servers.
i looked into the servers holding segments that match the date 2022-03-29,
and it shows the following
`
qiaochu@pinotHost:~$ sudo cat
/var/upinot/stream-pinot-server/dataDir/rta_panorama_city_minute_metrics_OFFLINE/rta_panorama_city_minute_metrics_1648598399_1648598399_00000/v3/metadata.properties
|grep date
segment.dimension.column.names =
city,completed_avg_surge,completed_avg_surge_sub_0,completed_avg_surge_sub_1,completed_trips,datestr,demand_jobs_accepted_rate_sub_0,demand_jobs_count_driver_canceled,demand_jobs_requested,driver_acceptance_rate,driver_accepts,driver_cancellation_rate,driver_offered_dispatches,eyeball_eta_sum,geodriver_accepted,geodriver_arrived,geodriver_dispatched,geodriver_driving_client,geodriver_open,gross_bookings_usd,helix_sessions,helix_sessions_surged,mean_demand_jobs_ata,mean_demand_jobs_ata_sub_0,mean_demand_jobs_ata_sub_1,mean_eta_post_request,mean_eta_post_request_sub_0,mean_eta_post_request_sub_1,mean_zero_adjusted_eyeball_eta_per_shopping_state,mean_zero_adjusted_eyeball_eta_per_shopping_state_sub_0,mean_zero_adjusted_eyeball_eta_per_shopping_state_sub_1,mean_zero_adjusted_eyeball_eta_per_shopping_state_sub_2,minute,non_requesting_non_zeroed_ss,nonzero,pct_surged_demand_jobs,requesting_sessions,shopping_sessions_v1,summary_completed_sessions,summary_
driver_cancel,summary_non_stressed_nrs,summary_requesting_sessions,summary_rider_cancel,summary_stressed_nrs,summary_unfulfilled,supply_minutes,surged_demand_jobs_completed_avg_surge,surged_demand_jobs_completed_avg_surge_sub_0,surged_demand_jobs_completed_avg_surge_sub_1,surged_demand_jobs_count,surged_session_avg_surge_bb8,surged_session_avg_surge_bb8_sub_0,surged_session_avg_surge_bb8_sub_1,surged_unique_session_count_bb8_hp,time_bucket,unique_session_count_bb8_hp,zeroed_sessions,zeroed_shopping_sessions_in_sessions_stats,zeros
segment.datetime.column.names =
column.datestr.cardinality = 1
column.datestr.totalDocs = 1438965
column.datestr.dataType = STRING
column.datestr.bitsPerElement = 1
column.datestr.lengthOfEachEntry = 10
column.datestr.columnType = DIMENSION
column.datestr.isSorted = true
column.datestr.hasNullValue = false
column.datestr.hasDictionary = true
column.datestr.textIndexType = NONE
column.datestr.hasInvertedIndex = true
column.datestr.isSingleValues = true
column.datestr.maxNumberOfMultiValues = 0
column.datestr.totalNumberOfEntries = 1438965
column.datestr.isAutoGenerated = false
column.datestr.defaultNullValue = null
column.datestr.minValue = 2022-03-30
column.datestr.maxValue = 2022-03-30
`
the segment
rta_panorama_city_minute_metrics_OFFLINE/rta_panorama_city_minute_metrics_1648598399_1648598399_00000
should show datestr.minValue 03-29 but it shows as 03-30.
We rerun the hive to Pinot jobs. then we restart the host, and we get the
following
`
qiaochu@streampinot-prod12-dca1:~$ sudo ls -l
/var/upinot/stream-pinot-server/dataDir/rta_panorama_city_minute_metrics_OFFLINE/rta_panorama_city_minute_metrics_1648598399_1648598399_00000/v3/
total 143184
-rwx------ 1 upinot upinot 146537680 Apr 4 20:34 columns.psf
-rwx------ 1 upinot upinot 16 Apr 4 20:34 creation.meta
-rwx------ 1 upinot upinot 13571 Apr 4 20:34 index_map
-rwx------ 1 upinot upinot 60446 Apr 4 20:34 metadata.properties
qiaochu@streampinot-prod12-dca1:~$ sudo cat
/var/upinot/stream-pinot-server/dataDir/rta_panorama_city_minute_metrics_OFFLINE/rta_panorama_city_minute_metrics_1648598399_1648598399_00000/v3/metadata.properties
|grep date
segment.dimension.column.names =
city,completed_avg_surge,completed_avg_surge_sub_0,completed_avg_surge_sub_1,completed_trips,datestr,demand_jobs_accepted_rate_sub_0,demand_jobs_count_driver_canceled,demand_jobs_requested,driver_acceptance_rate,driver_accepts,driver_cancellation_rate,driver_offered_dispatches,eyeball_eta_sum,geodriver_accepted,geodriver_arrived,geodriver_dispatched,geodriver_driving_client,geodriver_open,gross_bookings_usd,helix_sessions,helix_sessions_surged,mean_demand_jobs_ata,mean_demand_jobs_ata_sub_0,mean_demand_jobs_ata_sub_1,mean_eta_post_request,mean_eta_post_request_sub_0,mean_eta_post_request_sub_1,mean_zero_adjusted_eyeball_eta_per_shopping_state,mean_zero_adjusted_eyeball_eta_per_shopping_state_sub_0,mean_zero_adjusted_eyeball_eta_per_shopping_state_sub_1,mean_zero_adjusted_eyeball_eta_per_shopping_state_sub_2,minute,non_requesting_non_zeroed_ss,nonzero,pct_surged_demand_jobs,requesting_sessions,shopping_sessions_v1,summary_completed_sessions,summary_
driver_cancel,summary_non_stressed_nrs,summary_requesting_sessions,summary_rider_cancel,summary_stressed_nrs,summary_unfulfilled,supply_minutes,surged_demand_jobs_completed_avg_surge,surged_demand_jobs_completed_avg_surge_sub_0,surged_demand_jobs_completed_avg_surge_sub_1,surged_demand_jobs_count,surged_session_avg_surge_bb8,surged_session_avg_surge_bb8_sub_0,surged_session_avg_surge_bb8_sub_1,surged_unique_session_count_bb8_hp,time_bucket,unique_session_count_bb8_hp,zeroed_sessions,zeroed_shopping_sessions_in_sessions_stats,zeros
segment.datetime.column.names =
column.datestr.cardinality = 1
column.datestr.totalDocs = 1744810
column.datestr.dataType = STRING
column.datestr.bitsPerElement = 1
column.datestr.lengthOfEachEntry = 10
column.datestr.columnType = DIMENSION
column.datestr.isSorted = true
column.datestr.hasNullValue = false
column.datestr.hasDictionary = true
column.datestr.textIndexType = NONE
column.datestr.hasInvertedIndex = true
column.datestr.isSingleValues = true
column.datestr.maxNumberOfMultiValues = 0
column.datestr.totalNumberOfEntries = 1744810
column.datestr.isAutoGenerated = false
column.datestr.defaultNullValue = null
column.datestr.minValue = 2022-03-29
column.datestr.maxValue = 2022-03-29
`
the query result correct result after restarting the host.
We have two questions
1. what's the root cause that 03-29 data are missing in the table.
2. Why segment with the 1648598399_1648598399 timestamp in the name, holding
the 03-30 day's data before we restart server?
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