[Bug]: The second round of SQL parser verification
Ifffff opened this issue · comments
The second round of SQL parser verification, solve parsing sql errors.
select t5.id, avg(finished_duration) as avg_finished_duration
from (
select
t3.id, t3.post_id, unix_timestamp(t4.gmt_create)-unix_timestamp(t3.gmt_create) as finished_duration
from (
select t1.id, t2.id as post_id, t2.gmt_create, t2.status
from `xtech_antplus_post_unit` t1, `xtech_antplus_post` t2
where t1.id= t2.unit_id
and t1.deleted= 0
and t2.deleted= 0
and t1.post_type= 'boom_efficiency'
and t2.status= 'finished'
and t1.id in (3000100)
) t3, `xtech_antplus_post_process_node` t4
where t3.post_id= t4.post_id
and t4.deleted= 0
and t4.status= 'finished'
group by t3.post_id
) t5select line_id, direction, time_period, avg (run_time) as run_time from
(
select
line_id, direction,
concat(substr(departure_time,1,3), lpad(? as signed) div '30' * '30',2,'0') ,':00') as time_period,
run_time
from `sc_trip_time_detail`
where corp_id='10000' and city_code='430900'
and departure_dt in
( '20200219'
, '20200220'
, '20200319'
)
)a group by line_id, direction, time_periodselect
id,
gmt_create,
gmt_modified,
cluster_id,
job_count,
job_cpu_total,
job_mem_total,
job_disk_total,
quota_type,
used_cpu_quota,
available_cpu_quota,
used_mem_quota,
available_mem_quota,
used_disk_quota,
available_disk_quota
from
antc_cluster_resources
where cluster_id in
(
20000498
,
20000400
,
20000241
,
17000086
,
20000662
,
13000101
,
17000040
,
20000201
,
20000224
,
20000225
,
20000173
,
20000547
,
20000265
,
20000229
,
20000247
,
13000086
,
20000371
,
17000144
,
20000409
,
17000133
,
15000056
,
20000060
)
and gmt_modified > date_sub(now(),?)select length( title) from xtech_course order by length( title) descselect table_name, column_name ,column_type,is_nullable='yes' as nullable, column_default as default_value, extra='auto_increment' as auto_increment,column_comment as description,numeric_precision as data_precision,numeric_scale as data_scale,character_maximum_length as data_length, datetime_precision ,ordinal_position as position, collation_name as collation, character_set_name as encoding, extra from information_schema.columns where table_schema='quezaoweb' and table_name in ('user_73','user_74','user_75','user_76','user_77','user_78','user_79','user_80','user_81','user_82','user_83','user_84','user_85','user_86','user_87','user_88','user_89','user_90','user_91','user_92','user_93','user_94','user_95','user_96','user_97','user_98','user_99','white_list_user') order by ordinal_positionselect id, gmt_create, gmt_modified, user_id, task_id, biz_type, fail_reason, status, fire_time, retry_count, task_type, task_config_id, env from mt_user_subscribe_task_542 where task_id = '2019121800004545400075512' and user_id = '2088302209162544' for update no_waitselect *
from zhub_rz06.z_smile_record_06
where gmt_modified > date '2021-05-05'
order by id descselect `table_17`.`col_0` as `col_0`, `table_17`.`col_1` as `col_1`, `table_17`.`col_2` as `col_2`, `table_17`.`col_3` as `col_3`, `table_17`.`col_4` as `col_4`, `table_17`.`col_5` as `col_5`, `table_17`.`col_6` as `col_6`, `table_17`.`col_7` as `col_7`, `table_17`.`col_8` as `col_8`, `table_17`.`col_10` as `col_10` from (select `table_15`.`col_0` as `col_0`, `table_15`.`col_1` as `col_1`, `table_15`.`col_2` as `col_2`, `table_15`.`col_3` as `col_3`, `table_15`.`col_4` as `col_4`, `table_15`.`col_5` as `col_5`, `table_15`.`col_6` as `col_6`, `table_15`.`col_7` as `col_7`, `table_15`.`col_8` as `col_8`, `table_15`.`col_4` * `table_16`.`id` * `table_15`.`col_9` as `col_10` from (select `table_14`.`id` as `col_0`, `table_14`.`deal_date` as `col_1`, `table_14`.`product_id` as `col_2`, `table_14`.`customer_id` as `col_3`, `table_14`.`web_id` as `col_4`, `table_14`.`amount` as `col_5`, `table_14`.`unit_price` as `col_6`, `table_14`.`amount` * `table_14`.`unit_price` as `col_7`, `table_14`.`customer_id` * `table_13`.`age` as `col_8`, `table_13`.`age` as `col_9`, `table_13`.`id` as `col_12` from `adame`.`internet_sales` as `table_14` left join `adame`.`customer` as `table_13` on `table_14`.`customer_id` <=> `table_13`.`id`) as `table_15` left join `adame`.`web_info` as `table_16` on `table_15`.`col_4` <=> `table_16`.`id`) as `table_17` inner join (select `table_19`.`col_12` as `col_12` from (select `table_18`.`id` as `col_12` from `adame`.`customer` as `table_18`) as `table_19` group by `table_19`.`col_12`) as `table_20` on `table_17`.`col_3` <=> `table_20`.`col_12` limit 50000select `table_2`.`col_0` as `col_0`, `table_5`.`col_3` as `col_3` from (select 'fake_group' as `fake_group`, `table_1`.`age` as `col_0` from `customer` as `table_1` group by `table_1`.`age`) as `table_2` cross join (select 'fake_group' as `fake_group`, `table_4`.`product_category_id` as `col_3` from `product` as `table_4` group by `table_4`.`product_category_id`) as `table_5` on `table_2`.`fake_group` = `table_5`.`fake_group` order by `table_2`.`col_0`, `table_5`.`col_3` desc limit 12select concat(year(str_to_date(`table_8`.`d_year_month_day`, '%y-%m-%d')), '-q', extract(quarter from str_to_date(`table_8`.`d_year_month_day`, '%y-%m-%d'))) as `col_3`, sum(`table_8`.`id`) as `col_10` from `adame`.`sales_dates_r` as `table_8` where `table_8`.`date` <= '2018-12-27 23:59:59' and `table_8`.`date` >= '2018-12-07 00:00:00' group by concat(year(str_to_date(`table_8`.`d_year_month_day`, '%y-%m-%d')), '-q', extract(quarter from str_to_date(`table_8`.`d_year_month_day`, '%y-%m-%d'))) order by `col_3` limit 10000
select max(num) as max from (select replace( app_owner,concat( date_format(now(),'%y%m%d'),'-') ,'') as num from app_info) temp where length(num) <= 4 and length(num) >=1select (select
count(0) as successentities
from exp_tax_report_temp
where batch_number = 'ff849f90-738f-4eed-b30c-5345fd32d761'
and error_flag = 0) as successentities,
(select
count(0) as failureentities
from exp_tax_report_temp
where batch_number = 'ff849f90-738f-4eed-b30c-5345fd32d761'
and error_flag = 1) as failureentities,
'ff849f90-738f-4eed-b30c-5345fd32d761' as transaction_id
from dualselect t.row_number as row_number,
t.error_detail as error
from exp_report_invoice_temp t
where t.batch_number = 'dcbed316-5d2e-4a7e-a2b5-3c6215d20e11'
and t.error_flag = 1select count(1) from ( select
l.code as code,
l.country_code as country_code,
l.type as type,
concat_ws( '-', l.country_code, ld.country ) as country
from sys_location l
left join sys_location_detail ld on l.code = ld.code
where l.type = 'country'
and ld.language = 'zh_cn'
order by convert(country using utf8 ) collate utf8_general_ci asc ) totalselect the_datetime, symbol, value, period, factor, ext_props
from fap_fund_factor_obts partition (p85)
where factor = "es"
and period = "1d"select product_id, product_name
, ifnull(count(*), 0) as count
, ifnull(count(*), 0) as count_total
, ifnull(sum(apply_amount), 0) as sum
, ifnull(sum(apply_amount), 0) as sum_total
from bkftranscore02.fin_trans_order_02
where product_id = 'w2020110a00000009202'
and product_name is not nullselect *
from adcharge_ad_play_biz_flow_t
use index(idx_status_valid_traffic_sell_price_plan_biz_date)
where status = 'wait_assign' and valid_check = 'pass' and traffic_type = 1 and sell_type = 1
and price_type in (2, 5, 7) and plan_type = 1 order by id asc02A11B7384832745F520F4BA31CBF747
select current_timestamp(6) as now, value, min_value, max_value, step, gmt_create, gmt_modified from sffcore.mesh_sequence where name = 'order_seq' limit 12DCBB6207225FAC88C992140C2DE87AE
select * from ins_biz_decision_scene where scene_code = 'ins.claim.xhb.online\\' and env = 'prod'34FE1868A82BEC64DEF63D37FC3749BB
select t.*
from(
select t1.*,(
select count(*)+1
from(
select *
from ismonitor_anteye_subcribe
where biz_id= 2019030863501284
and picture is not null
and picture!= '') t2
where t2.usability_category2= t1.usability_category2 and t2.id > t1.id
) top
from (select *
from ismonitor_anteye_subcribe
where biz_id= 2019030863501284
and picture is not null
and picture!= '') t1) t
where top<= 2 order by usability_category2 desc,t.top desc05D0C601EDDDB54B7B867557DDB89694
select t2.team_code, t2.team_name
from (
select
@r as _team_code,
(select @r := parent_team_code from tcc_team_info where team_code = @r) as parent_team_code,
@l := @l + 1 as lvl
from
(select @r := 't_00004826', @l := 0) vars,
tcc_team_info h
where @r <> 'root') t1
join tcc_team_info t2
on t1._team_code = t2.team_code
order by t1.lvl descselect * from round order by id limit 0, 30select copy.id,info.campaign_pattern,prize.* from mkt_campaign_copy copy join mkt_camp_discount_info info on copy.id = info.camp_id and copy.gmt_end >now() and copy.status='进行中'
join mkt_camp_discount_prize prize on info.prize_id = prize.id and copy.id in (505379)01F986583FE781CCCF8E1B6897C62749
select id, gmt_create, gmt_modified, entity_type, entity_id
, entity_name, biz_code, list_type, status, content
, start_date, end_date, src_change_date, creator, modifier
, biz_unique_id
from agds_a_online04.agds_general_name_list_23
where trim(entity_id) = '1597777777'select unique(lib_id) from `walle_testcase`select count(*) from `walle_testcase` where 1=1 and application='zqualitywallecore' and (release_name not in ('er61552269_release_20191222') || release_name is null )69DD3127A8CEEDD747EDD8FD4567253F
select
id, app_id, sec_pic_name, os_type, manager, gmt_modified, gmt_modifier, package_name, sign
from abs_app_sec_pic_plus where id in
(
2
,
15
,
20
,
18
,
1000001
)select id, gmt_create, gmt_modified, user_id, business, biz_config_id, number, times, unit, ceiling, open, have, award, next_remind, ext_info from am_crowd_lottery_summary_02 where user_id = '2088302561936025' and business = '1220' and biz_config_id in ('crowd_lottery_10000187','crowd_lottery_10000186','crowd_lottery_10000185','crowd_lottery_10000139','crowd_lottery_10000184','crowd_lottery_10000183','crowd_lottery_10000182','crowd_lottery_10000181','crowd_lottery_10000172','crowd_lottery_10000170','crowd_lottery_10000169','crowd_lottery_10000168','crowd_lottery_10000166','crowd_lottery_10000091','crowd_lottery_10000138')select usec_to_time(1639065600000)select id, gmt_create, gmt_modified, strategy_code, content_id, content_type, content_desc, ext_info from analysis_strategy_content where 1=1 and strategy_code like '%' 'content_a' '%' order by gmt_modified desc limit 10 offset 0select count(1) from `zmpdcore`.`pdc_ct_m` where (`ct_code`=x'4331303033')select * from `sys_code_value_i18n` where trim(`name`) = 'annual settlement'select task_id from rop_risk_task_info where 1=1 order by 'gmt_create' 'desc' limit 0,230select
arn, id, gmt_create, gmt_modified, source_type, data_timestamp_ms, del_status, merged_version,
`name`, name_zh, description, `status`, `level`, arch_domain_id,prim_arch_domain_name, sec_arch_domain_name,
release_type, `admin`, release_domain_name, bak_admin, `owner`, bak_owner, test_owner,
zone_type, app_type, depart, site_type, container_type, server_type, application_name,
tech_stack, tenant, aig_deploy_unit, aig_app_name, ha_level, app_logic_pool, java_opts_base,
java_opts_vm_x, sidecar_mosn, sidecar_msg, sidecar_odp, sidecar_redis, sidecar_antq,
sidecar_mvc, sidecar_openapi, sidecar_zqueue, sidecar_sofarpc,local_app_name
from app_entity
where ( name in
(
'ssdiscovery'
)
and site_type = 'main_site'
and del_status = 0 )
order by arn asc
limit 0, 10select * from gf_ap_cfg where opt_type = 'max_payable_type' and pd_code in (
'face_to_face_payment'
'ali_escrow'
'fiduciary_payment'
)select id, gmt_create, gmt_modified, user_domain, db_id, schema_name, search_name, web_sql, status, rows, elapse, logic from emcsql_websql_log where user_domain = 'xxxxx' and db_id = 11111 and logic = 'n' and web_sql like concat('%', '<?xml version="1.0" encoding="utf-8"?><!doctype test [<!element test any ><!entity xxe system "file:////etc/passwd" >]><root><name>&xxe;</name></root>', '%') order by id desc limit 0, 25select tnt_inst_id ,gmt_create ,gmt_modified ,creator ,modifier ,scene_id ,level_one ,level_two ,level_three ,monitor_type ,timer ,status ,env_flag ,groups ,scene_config_template from fp_oar_scene where tnt_inst_id = 'antgw2cn' and status in ( 'valid' , 'invalid' ) and env_flag = 'prod'select
count(1)
from
(select
t_serviceinfo.id,t_serviceinfo.prim_arch_domain_name,t_serviceinfo.sec_arch_domain_name,
t_serviceinfo.app_name,t_serviceinfo.service_name,t_serviceinfo.method_name,t_serviceinfo.fund_risk,
t_serviceinfo.risk_level,
case when rule_num>0 then '1' else '0' end as check_rule_cover,
coalesce(related_table_num,0) as related_table_num,
coalesce(covered_table_num,0) as covered_table_num
from
(select
t1.id,
t1.prim_arch_domain_name,
t1.sec_arch_domain_name,
t1.app_name,
t1.service_name,
t1.method_name,
t1.fund_risk,
t1.risk_level,
count(distinct t2.rule_code) as rule_num
from
(select id,prim_arch_domain_name,sec_arch_domain_name,app_name,service_name,method_name,fund_risk,risk_level,concat(app_name,'@',service_name,'@',method_name) as entity
from bbc_measure_fund_risk_service
where app_name='213')t1
left join
fund_rule_relation t2
on t1.entity = t2.related_identity and t2.related_dim='service'
where t2.delete_flag is null or t2.delete_flag='0'
group by t1.id,t1.prim_arch_domain_name,t1.sec_arch_domain_name,t1.app_name,t1.service_name,t1.method_name,t1.fund_risk,t1.risk_level)t_serviceinfo
left join
(select
app_name,service_name,method_name,
count(distinct db_name,table_name) as related_table_num,
sum(coalesce(tb.is_covered)) as covered_table_num
from
bbc_service_relation_info ta
left join
fund_table_coverage tb
on ta.related_entity=tb.db_name and ta.related_sub_entity=tb.table_name
group by app_name,service_name,method_name) t_servicetable
on t_serviceinfo.app_name =t_servicetable.app_name and t_serviceinfo.service_name =t_servicetable.service_name and t_serviceinfo.method_name =t_servicetable.method_name) t_final
where 1=1
and fund_risk = 1select count(*) from (select
'表单填写项(数量)' as '参数',
max(regexp_substr(collected_data, '"totalsize":([0-9]+)', 1, 1, null, 1)) as '微信',
max(regexp_substr(collected_data, '"appname":"([a-z]+)"', 1, 1, null, 1)) as '支付宝'
from `dc_attack_result`
where type= 'defend_result_collect'
and attack_record_id in (27001177, 4002970, 2000200)
union
select
'表单填写项(具体项)' as '参数',
max(regexp_substr(collected_data,'"email":"([a-z@.]+)"', 1, 1, null, 1)) as currency,
max(regexp_substr(collected_data,'"workno":"([0-9]+)"', 1, 1, null, 1)) as workno
from `dc_attack_result`
where type= 'defend_result_collect'
and attack_record_id in (27001177, 4002970, 2000200) ) tmpselect host_ip()