I finally got through the runtimefilter in 1.10, the reason why it didn't
call commit method is in OperatorCodeGenerator. It should call endInput()
method correctly in generateOneInputStreamOperator. A complete process of
runtimefilter is: 1.Add insert and remove rule in batch rules. 2.Build side
constructs bloomfilter and commit. 3. Jobmanager merge bloomfilter as a
global one. 4. Probe side get global bloomfilter and filter data. Although
runtimefilter is already achieved in blink, it doesn't have a independent
commit. So it's a little hard to merge whole code once. I hope it helps if
anyone try to do same thing.

faaron zheng <faaronzh...@gmail.com> 于 2020年3月2日周一 下午7:52写道:

> I set sql.exec.runtime-filter.wait to true. HiveTableSource take much
> longer time but get same result. I think the reason is not commit
> preAggregateAccumulator. But I dont know why it happens?
>
> JingsongLee <lzljs3620...@aliyun.com> 于 2020年3月2日周一 下午3:22写道:
>
>> Hi,
>>
>> Does runtime filter probe side wait for building runtime filter?
>> Can you check the start time of build side and probe side?
>>
>> Best,
>> Jingsong Lee
>>
>> ------------------------------------------------------------------
>> From:faaron zheng <faaronzh...@gmail.com>
>> Send Time:2020年3月2日(星期一) 14:55
>> To:user <user@flink.apache.org>
>> Subject:Question about runtime filter
>>
>> Hi, everyone
>>
>> These days, I am trying to implement runtime filter in flink1.10 with
>> flink-sql-benchmark  according to blink. I mainly change three part of
>> flink code: add runtime filter rule; modify the code gen and bloomfilter;
>> add some aggregatedaccumulator  methods according to accumulator. Now, It
>> seems runtime filter works in execution graph as follows:
>> Source: HiveTableSource(i_item_sk, i_item_id, i_rec_start_date,
>> i_rec_end_date, i_item_desc, i_current_price, i_wholesale_cost, i_brand_id,
>> i_brand, i_class_id, i_class, i_category_id, i_category, i_manufact_id,
>> i_manufact, i_size, i_formulation, i_color, i_units, i_container,
>> i_manager_id, i_product_name) TablePath: tpcds_bin_orc_2.item,
>> PartitionPruned: false, PartitionNums: null, ProjectedFields: [0, 10, 12]
>> -> Calc(select=[i_item_sk], where=[((i_category =
>> _UTF-16LE'Jewelry':VARCHAR(2147483647) CHARACTER SET "UTF-16LE") AND
>> (i_class = _UTF-16LE'consignment':VARCHAR(2147483647) CHARACTER SET
>> "UTF-16LE") AND RUNTIME_FILTER_BUILDER_0(i_item_sk))])
>>
>> and
>>
>> Source: HiveTableSource(d_date_sk, d_date_id, d_date, d_month_seq,
>> d_week_seq, d_quarter_seq, d_year, d_dow, d_moy, d_dom, d_qoy, d_fy_year,
>> d_fy_quarter_seq, d_fy_week_seq, d_day_name, d_quarter_name, d_holiday,
>> d_weekend, d_following_holiday, d_first_dom, d_last_dom, d_same_day_ly,
>> d_same_day_lq, d_current_day, d_current_week, d_current_month,
>> d_current_quarter, d_current_year) TablePath: tpcds_bin_orc_2.date_dim,
>> PartitionPruned: false, PartitionNums: null, ProjectedFields: [0, 3] ->
>> Calc(select=[d_date_sk, d_month_seq], where=[RUNTIME_FILTER_2(d_date_sk)])
>>
>>
>> However,the number of records sent is the same as normal.  Anyone who can
>> give me some advices?
>>
>>
>>
>> Thanks
>>
>>

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