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https://issues.apache.org/jira/browse/HIVE-27898?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17819167#comment-17819167
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yongzhi.shao edited comment on HIVE-27898 at 2/21/24 10:07 AM:
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Did HIVE start a TEZ task when you executed this SQL?
select * from (select * from testdb.test_data_02 limit 10) s1;
Also, can you share the implementation plan?
here is mine:
Explain Vertex dependency in root stage
Explain Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE)
Explain
Explain Stage-0
Explain Fetch Operator
Explain limit:-1
Explain Stage-1
Explain Reducer 2 vectorized
Explain File Output Operator [FS_13]
Explain Select Operator [SEL_12] (rows=2 width=4430)
Explain Output:["_col0","_col1"]
Explain Limit [LIM_11] (rows=2 width=4430)
Explain Number of rows:10
Explain <-Map 1 [CUSTOM_SIMPLE_EDGE] vectorized
Explain PARTITION_ONLY_SHUFFLE [RS_10]
Explain Select Operator [SEL_9] (rows=2 width=4430)
Explain Output:["_col0","_col1"]
Explain Limit [LIM_8] (rows=2 width=4430)
Explain Number of rows:10
Explain TableScan [TS_0] (rows=2 width=4430)
Explain
iceberg_dwd@test_data_02,test_data_02,Tbl:COMPLETE,Col:NONE,Output:["id","name"]
Explain
22 rows selected (0.979 seconds)
0: jdbc:hive2://smaster01:10000> explain select * from (select * from
iceberg_dwd.test_data_02 limit 10) s1;
was (Author: lisoda):
Did HIVE start a TEZ task when you executed this SQL?
select * from (select * from testdb.test_data_02 limit 10) s1;
Also, can you share the implementation plan?
here is mine:
Explain Vertex dependency in root stage
Explain Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE)
Explain
Explain Stage-0
Explain Fetch Operator
Explain limit:-1
Explain Stage-1
Explain Reducer 2 vectorized
Explain File Output Operator [FS_13]
Explain Select Operator [SEL_12] (rows=2 width=4430)
Explain Output:["_col0","_col1"]
Explain Limit [LIM_11] (rows=2 width=4430)
Explain Number of rows:10
Explain <-Map 1 [CUSTOM_SIMPLE_EDGE] vectorized
Explain PARTITION_ONLY_SHUFFLE [RS_10]
Explain Select Operator [SEL_9] (rows=2 width=4430)
Explain Output:["_col0","_col1"]
Explain Limit [LIM_8] (rows=2 width=4430)
Explain Number of rows:10
Explain TableScan [TS_0] (rows=2 width=4430)
Explain
iceberg_dwd@test_data_02,test_data_02,Tbl:COMPLETE,Col:NONE,Output:["id","name"]
Explain
22 rows selected (0.979 seconds)
0: jdbc:hive2://smaster01:10000> explain select * from (select * from
iceberg_dwd.test_data_02 limit 10) s1;
{code:java}
{code}
> HIVE4 can't use ICEBERG table in subqueries
> -------------------------------------------
>
> Key: HIVE-27898
> URL: https://issues.apache.org/jira/browse/HIVE-27898
> Project: Hive
> Issue Type: Improvement
> Components: Iceberg integration
> Affects Versions: 4.0.0-beta-1
> Reporter: yongzhi.shao
> Priority: Critical
>
> Currently, we found that when using HIVE4-BETA1 version, if we use ICEBERG
> table in the subquery, we can't get any data in the end.
> I have used HIVE3-TEZ for cross validation and HIVE3 does not have this
> problem when querying ICEBERG.
> {code:java}
> --spark3.4.1+iceberg 1.4.2
> CREATE TABLE datacenter.dwd.b_std_trade (
> uni_order_id STRING,
> data_from BIGINT,
> partner STRING,
> plat_code STRING,
> order_id STRING,
> uni_shop_id STRING,
> uni_id STRING,
> guide_id STRING,
> shop_id STRING,
> plat_account STRING,
> total_fee DOUBLE,
> item_discount_fee DOUBLE,
> trade_discount_fee DOUBLE,
> adjust_fee DOUBLE,
> post_fee DOUBLE,
> discount_rate DOUBLE,
> payment_no_postfee DOUBLE,
> payment DOUBLE,
> pay_time STRING,
> product_num BIGINT,
> order_status STRING,
> is_refund STRING,
> refund_fee DOUBLE,
> insert_time STRING,
> created STRING,
> endtime STRING,
> modified STRING,
> trade_type STRING,
> receiver_name STRING,
> receiver_country STRING,
> receiver_state STRING,
> receiver_city STRING,
> receiver_district STRING,
> receiver_town STRING,
> receiver_address STRING,
> receiver_mobile STRING,
> trade_source STRING,
> delivery_type STRING,
> consign_time STRING,
> orders_num BIGINT,
> is_presale BIGINT,
> presale_status STRING,
> first_fee_paytime STRING,
> last_fee_paytime STRING,
> first_paid_fee DOUBLE,
> tenant STRING,
> tidb_modified STRING,
> step_paid_fee DOUBLE,
> seller_flag STRING,
> is_used_store_card BIGINT,
> store_card_used DOUBLE,
> store_card_basic_used DOUBLE,
> store_card_expand_used DOUBLE,
> order_promotion_num BIGINT,
> item_promotion_num BIGINT,
> buyer_remark STRING,
> seller_remark STRING,
> trade_business_type STRING)
> USING iceberg
> PARTITIONED BY (uni_shop_id, truncate(4, created))
> LOCATION '/iceberg-catalog/warehouse/dwd/b_std_trade'
> TBLPROPERTIES (
> 'current-snapshot-id' = '7217819472703702905',
> 'format' = 'iceberg/orc',
> 'format-version' = '1',
> 'hive.stored-as' = 'iceberg',
> 'read.orc.vectorization.enabled' = 'true',
> 'sort-order' = 'uni_shop_id ASC NULLS FIRST, created ASC NULLS FIRST',
> 'write.distribution-mode' = 'hash',
> 'write.format.default' = 'orc',
> 'write.metadata.delete-after-commit.enabled' = 'true',
> 'write.metadata.previous-versions-max' = '3',
> 'write.orc.bloom.filter.columns' = 'order_id',
> 'write.orc.compression-codec' = 'zstd')
> --hive-iceberg
> CREATE EXTERNAL TABLE iceberg_dwd.b_std_trade
> STORED BY 'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler'
> LOCATION 'hdfs://xxxx/iceberg-catalog/warehouse/dwd/b_std_trade'
> TBLPROPERTIES
> ('iceberg.catalog'='location_based_table','engine.hive.enabled'='true');
> select * from iceberg_dwd.b_std_trade
> where uni_shop_id = 'TEST|11111' limit 10 --10 rows
> select *
> from (
> select * from iceberg_dwd.b_std_trade
> where uni_shop_id = 'TEST|11111' limit 10
> ) t1; --10 rows
> select uni_shop_id
> from (
> select * from iceberg_dwd.b_std_trade
> where uni_shop_id = 'TEST|11111' limit 10
> ) t1; --0 rows
> select uni_shop_id
> from (
> select uni_shop_id as uni_shop_id from iceberg_dwd.b_std_trade
> where uni_shop_id = 'TEST|11111' limit 10
> ) t1; --0 rows
> --hive-orc
> select uni_shop_id
> from (
> select * from iceberg_dwd.trade_test
> where uni_shop_id = 'TEST|11111' limit 10
> ) t1; --10 ROWS{code}
>
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