Details
Description
1. Create a table
create table if not exists lineitem2(L_SHIPDATE string,L_SHIPMODE string,L_SHIPINSTRUCT string,L_RETURNFLAG string,L_RECEIPTDATE string,L_ORDERKEY string,L_PARTKEY string,L_SUPPKEY string,L_LINENUMBER int,L_QUANTITY double,L_EXTENDEDPRICE double,L_DISCOUNT double,L_TAX double,L_LINESTATUS string,L_COMMITDATE string,L_COMMENT string) STORED BY 'org.apache.carbondata.format' TBLPROPERTIES ('table_blocksize'='128','NO_INVERTED_INDEX'='L_SHIPDATE,L_SHIPMODE,L_SHIPINSTRUCT,L_RETURNFLAG,L_RECEIPTDATE,L_ORDERKEY,L_PARTKEY,L_SUPPKEY','sort_columns'='');
2. Load 2 times to create 2 segments
load data inpath "hdfs://hacluster/user/test/lineitem.tbl.5" into table lineitem2 options('DELIMITER'='|','FILEHEADER'='L_ORDERKEY,L_PARTKEY,L_SUPPKEY,L_LINENUMBER,L_QUANTITY,L_EXTENDEDPRICE,L_DISCOUNT,L_TAX,L_RETURNFLAG,L_LINESTATUS,L_SHIPDATE,L_COMMITDATE,L_RECEIPTDATE,L_SHIPINSTRUCT,L_SHIPMODE,L_COMMENT');
3. Check the table content without setting any filter:
select l_returnflag,l_linestatus,sum(l_quantity),sum(l_extendedprice) from lineitem2 group by l_returnflag, l_linestatus;
------------------------------------------------------------------
l_returnflag | l_linestatus | sum(l_quantity) | sum(l_extendedprice) |
------------------------------------------------------------------
N | F | 327800.0 | 4.913876776200004E8 |
A | F | 1.263625E7 | 1.893851542524009E10 |
N | O | 2.5398626E7 | 3.810981608977967E10 |
R | F | 1.2643878E7 | 1.8948524305619976E10 |
------------------------------------------------------------------
4. Set segment filter on the main table:
set carbon.input.segments.test_db1.lineitem2=1;
-------------------------------------------------
key | value |
-------------------------------------------------
carbon.input.segments.test_db1.lineitem2 | 1 |
-------------------------------------------------
5. Create pre-aggregate table
create datamap agr_lineitem2 ON TABLE lineitem2 USING "org.apache.carbondata.datamap.AggregateDataMapHandler" as select L_RETURNFLAG,L_LINESTATUS,sum(L_QUANTITY),sum(L_EXTENDEDPRICE) from lineitem2 group by L_RETURNFLAG, L_LINESTATUS;
6. Check table content:
select l_returnflag,l_linestatus,sum(l_quantity),sum(l_extendedprice) from lineitem2 group by l_returnflag, l_linestatus;
------------------------------------------------------------------
l_returnflag | l_linestatus | sum(l_quantity) | sum(l_extendedprice) |
------------------------------------------------------------------
N | F | 163900.0 | 2.4569383881000024E8 |
A | F | 6318125.0 | 9.469257712620043E9 |
N | O | 1.2699313E7 | 1.9054908044889835E10 |
R | F | 6321939.0 | 9.474262152809986E9 |
------------------------------------------------------------------
7. remove the filter on segment
0: jdbc:hive2://10.18.98.48:23040> reset;
8. Check the table conent:
select l_returnflag,l_linestatus,sum(l_quantity),sum(l_extendedprice) from lineitem2 group by l_returnflag, l_linestatus;
------------------------------------------------------------------
l_returnflag | l_linestatus | sum(l_quantity) | sum(l_extendedprice) |
------------------------------------------------------------------
N | F | 163900.0 | 2.4569383881000024E8 |
A | F | 6318125.0 | 9.469257712620043E9 |
N | O | 1.2699313E7 | 1.9054908044889835E10 |
R | F | 6321939.0 | 9.474262152809986E9 |
------------------------------------------------------------------
4 rows selected (2.341 seconds)
9. Load one more time:
10. Check table content
select l_returnflag,l_linestatus,sum(l_quantity),sum(l_extendedprice) from lineitem2 group by l_returnflag, l_linestatus;
------------------------------------------------------------------
l_returnflag | l_linestatus | sum(l_quantity) | sum(l_extendedprice) |
------------------------------------------------------------------
N | F | 327800.0 | 4.913876776200005E8 |
A | F | 1.263625E7 | 1.8938515425240086E10 |
N | O | 2.5398626E7 | 3.810981608977967E10 |
R | F | 1.2643878E7 | 1.8948524305619972E10 |
------------------------------------------------------------------
4 rows selected (0.936 seconds)
Expected:: one of these should have been the behavour:
1.Ignore segment filter and use all segments for pre-aggregate load. At the time of query run, if segment filter is set then ignore the pre-aggr table and fetch data from main table. (Preferred)
Or
2. Reject pre-aggregate creation when segment filter is set or vis-a-versa.
Actual: Partial data returned
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