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795c1a98dc
* Fix_kql_issue_found_by_wingfuzz This commit fix the issues: https://github.com/ClickHouse/ClickHouse/issues/59036 https://github.com/ClickHouse/ClickHouse/issues/59037 both issues are same reason, the input query exceed the max_query_size, so the condition isEnd() of token is not meet and cause the assertion failure * fix_kql_issue_found_by_wingfuzz: use isValid instead of TokenType::EndOfStream * fix_kql_issue_found_by_wingfuzz: make functional test result consist * fix_kql_issue_found_by_wingfuzz: update test case for makeseries * fix_kql_issue_found_by_wingfuzz: disable makeseries * fix_kql_issue_found_by_wingfuzz: use isvalid() function to replace isEnd() function of TokenIterator to check the end of stream * fix_kql_issue_found_by_wingfuzz: add test case for max_query_size * fix_kql_issue_found_by_wingfuzz: fix AST structure * fix_kql_issue_found_by_wingfuzz: make sure the max query size test is in the dialect of kusto * fix_kql_issue_found_by_wingfuzz : restore max query size after test * fix_kql_issue_found_by_wingfuzz : fix typo --------- Co-authored-by: János Benjamin Antal <benjamin.antal@clickhouse.com>
103 lines
5.8 KiB
SQL
103 lines
5.8 KiB
SQL
-- datatable(FirstName:string, LastName:string, Occupation:string, Education:string, Age:int) [
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-- 'Theodore', 'Diaz', 'Skilled Manual', 'Bachelors', 28,
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-- 'Stephanie', 'Cox', 'Management abcd defg', 'Bachelors', 33,
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-- 'Peter', 'Nara', 'Skilled Manual', 'Graduate Degree', 26,
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-- 'Latoya', 'Shen', 'Professional', 'Graduate Degree', 25,
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-- 'Joshua', 'Lee', 'Professional', 'Partial College', 26,
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-- 'Edward', 'Hernandez', 'Skilled Manual', 'High School', 36,
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-- 'Dalton', 'Wood', 'Professional', 'Partial College', 42,
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-- 'Christine', 'Nara', 'Skilled Manual', 'Partial College', 33,
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-- 'Cameron', 'Rodriguez', 'Professional', 'Partial College', 28,
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-- 'Angel', 'Stewart', 'Professional', 'Partial College', 46,
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-- 'Apple', '', 'Skilled Manual', 'Bachelors', 28,
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-- dynamic(null), 'why', 'Professional', 'Partial College', 38
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-- ]
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DROP TABLE IF EXISTS Customers;
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CREATE TABLE Customers
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(
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FirstName Nullable(String),
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LastName String,
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Occupation String,
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Education String,
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Age Nullable(UInt8)
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) ENGINE = Memory;
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INSERT INTO Customers VALUES ('Theodore','Diaz','Skilled Manual','Bachelors',28),('Stephanie','Cox','Management abcd defg','Bachelors',33),('Peter','Nara','Skilled Manual','Graduate Degree',26),('Latoya','Shen','Professional','Graduate Degree',25),('Joshua','Lee','Professional','Partial College',26),('Edward','Hernandez','Skilled Manual','High School',36),('Dalton','Wood','Professional','Partial College',42),('Christine','Nara','Skilled Manual','Partial College',33),('Cameron','Rodriguez','Professional','Partial College',28),('Angel','Stewart','Professional','Partial College',46),('Apple','','Skilled Manual','Bachelors',28),(NULL,'why','Professional','Partial College',38);
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drop table if exists EventLog;
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create table EventLog
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(
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LogEntry String,
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Created Int64
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) ENGINE = Memory;
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insert into EventLog values ('Darth Vader has entered the room.', 546), ('Rambo is suspciously looking at Darth Vader.', 245234), ('Darth Sidious electrocutes both using Force Lightning.', 245554);
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drop table if exists Dates;
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create table Dates
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(
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EventTime DateTime,
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) ENGINE = Memory;
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Insert into Dates VALUES ('2015-10-12') , ('2016-10-12')
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Select '-- test summarize --' ;
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set dialect='kusto';
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Customers | summarize count(), min(Age), max(Age), avg(Age), sum(Age);
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Customers | summarize count(), min(Age), max(Age), avg(Age), sum(Age) by Occupation | order by Occupation;
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Customers | summarize countif(Age>40) by Occupation | order by Occupation;
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Customers | summarize MyMax = maxif(Age, Age<40) by Occupation | order by Occupation;
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Customers | summarize MyMin = minif(Age, Age<40) by Occupation | order by Occupation;
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Customers | summarize MyAvg = avgif(Age, Age<40) by Occupation | order by Occupation;
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Customers | summarize MySum = sumif(Age, Age<40) by Occupation | order by Occupation;
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Customers | summarize dcount(Education);
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Customers | summarize dcountif(Education, Occupation=='Professional');
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Customers | summarize count_ = count() by bin(Age, 10) | order by count_ asc;
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Customers | summarize job_count = count() by Occupation | where job_count > 0 | order by Occupation;
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Customers | summarize 'Edu Count'=count() by Education | sort by 'Edu Count' desc; -- { clientError 62 }
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print '-- make_list() --';
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Customers | summarize f_list = make_list(Education) by Occupation | sort by Occupation;
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Customers | summarize f_list = make_list(Education, 2) by Occupation | sort by Occupation;
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print '-- make_list_if() --';
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Customers | summarize f_list = make_list_if(FirstName, Age>30) by Occupation | sort by Occupation;
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Customers | summarize f_list = make_list_if(FirstName, Age>30, 1) by Occupation | sort by Occupation;
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print '-- make_set() --';
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Customers | summarize f_list = make_set(Education) by Occupation | sort by Occupation;
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Customers | summarize f_list = make_set(Education, 2) by Occupation | sort by Occupation;
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print '-- make_set_if() --';
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Customers | summarize f_list = make_set_if(Education, Age>30) by Occupation | sort by Occupation;
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Customers | summarize f_list = make_set_if(Education, Age>30, 1) by Occupation | sort by Occupation;
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print '-- stdev() --';
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Customers | project Age | summarize stdev(Age);
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print '-- stdevif() --';
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Customers | project Age | summarize stdevif(Age, Age%2==0);
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print '-- binary_all_and --';
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Customers | project Age | where Age > 40 | summarize binary_all_and(Age);
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print '-- binary_all_or --';
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Customers | project Age | where Age > 40 | summarize binary_all_or(Age);
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print '-- binary_all_xor --';
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Customers | project Age | where Age > 40 | summarize binary_all_xor(Age);
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Customers | project Age | summarize percentile(Age, 95);
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Customers | project Age | summarize percentiles(Age, 5, 50, 95)|project round(percentiles_Age[0],2),round(percentiles_Age[1],2),round(percentiles_Age[2],2);
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Customers | project Age | summarize percentiles(Age, 5, 50, 95)[1];
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Customers | summarize w=count() by AgeBucket=bin(Age, 5) | summarize percentilew(AgeBucket, w, 75);
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Customers | summarize w=count() by AgeBucket=bin(Age, 5) | summarize percentilesw(AgeBucket, w, 50, 75, 99.9);
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print '-- Summarize following sort --';
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Customers | sort by FirstName | summarize count() by Occupation | sort by Occupation;
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print '-- summarize with bin --';
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EventLog | summarize count=count() by bin(Created, 1000);
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EventLog | summarize count=count() by bin(unixtime_seconds_todatetime(Created/1000), 1s);
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EventLog | summarize count=count() by time_label=bin(Created/1000, 1s);
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Dates | project bin(datetime(EventTime), 1m);
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print '-- make_list_with_nulls --';
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Customers | summarize t = make_list_with_nulls(FirstName);
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Customers | summarize f_list = make_list_with_nulls(FirstName) by Occupation | sort by Occupation;
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Customers | summarize f_list = make_list_with_nulls(FirstName), a_list = make_list_with_nulls(Age) by Occupation | sort by Occupation;
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-- TODO:
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-- arg_max()
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-- arg_min()
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