“数据清洗,抽取”的版本间的差异

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（创建页面，内容为“ == 建表语句 == create database 库名; create table test3( ListingKey string , ListingNumber int, ListingCreationDate TIMESTAMP, CreditGrade string, Term int, L…”）
 
 
（未显示2个用户的9个中间版本）
第1行： 第1行：
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1.爬取商城数据，并进行分析
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'''具体步骤如下'''
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'''上传数据'''
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hadoop fs -mkdir -p /college
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hadoop fs -put /root/college/loan.csv /college
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'''创建数据库'''
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== 建表语句 ==
 
 
create database 库名;
 
create database 库名;
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create table test3(
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create table 表名1(
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ListingKey string ,
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id int,
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ListingNumber int,
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name string,
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ListingCreationDate TIMESTAMP,
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price int,
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CreditGrade string,
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views int,
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Term int,
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sales int,
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LoanStatus string,
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stock int
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ClosedDate TIMESTAMP,
 
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BorrowerAPR float,
 
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BorrowerRate float,
 
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LenderYield float,
 
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EstimatedEffectiveYield float,
 
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EstimatedLoss float,
 
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EstimatedReturn float,
 
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ProsperRating(numeric) int,
 
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ProsperRating (Alpha) string,
 
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ProsperScore int,
 
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ListingCategory (numeric) int,
 
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BorrowerState string,
 
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Occupation string,
 
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EmploymentStatus string,
 
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EmploymentStatusDuration int,
 
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IsBorrowerHomeowner string,
 
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CurrentlyInGroup string,
 
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GroupKey string,
 
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DateCreditPulled TIMESTAMP,
 
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CreditScoreRangeLower int,
 
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CreditScoreRangeUpper int,
 
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FirstRecordedCreditLine TIMESTAMP,
 
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CurrentCreditLines int,
 
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OpenCreditLines int,
 
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TotalCreditLinespast7years int,
 
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OpenRevolvingAccounts int,
 
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OpenRevolvingMonthlyPayment int,
 
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InquiriesLast6Months int,
 
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TotalInquiries int,
 
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CurrentDelinquencies int,
 
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AmountDelinquent int,
 
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DelinquenciesLast7Years int,
 
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PublicRecordsLast10Years int,
 
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PublicRecordsLast12Months int,
 
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RevolvingCreditBalance int,
 
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BankcardUtilization float,
 
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AvailableBankcardCredit int,
 
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TotalTrades int,
 
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TradesNeverDelinquent (percentage) float,
 
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TradesOpenedLast6Months int,
 
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DebtToIncomeRatio float,
 
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IncomeRange string,
 
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IncomeVerifiable string,
 
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StatedMonthlyIncome double,
 
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LoanKey string,
 
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TotalProsperLoans int,
 
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TotalProsperPaymentsBilled int,
 
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OnTimeProsperPayments int,
 
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ProsperPaymentsLessThanOneMonthLate int,
 
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ProsperPaymentsOneMonthPlusLate int,
 
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ProsperPrincipalBorrowed int,
 
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ProsperPrincipalOutstanding double,
 
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ScorexChangeAtTimeOfListing int,
 
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LoanCurrentDaysDelinquent int,
 
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LoanFirstDefaultedCycleNumber int,
 
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LoanMonthsSinceOrigination int,
 
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LoanNumber int,
 
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LoanOriginalAmount int,
 
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LoanOriginationDate TIMESTAMP,
 
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LoanOriginationQuarter string,
 
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MemberKey string,
 
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MonthlyLoanPayment float,
 
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LP_CustomerPayments double,
 
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LP_CustomerPrincipalPayments double,
 
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LP_InterestandFees double,
 
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LP_ServiceFees double,
 
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LP_CollectionFees double,
 
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LP_GrossPrincipalLoss double,
 
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LP_NetPrincipalLoss double,
 
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LP_NonPrincipalRecoverypayments double,
 
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PercentFunded double,
 
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Recommendations int,
 
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InvestmentFromFriendsCount int,
 
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InvestmentFromFriendsAmount double,
 
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Investors int
 
 
)row format delimited
 
)row format delimited
 
fields terminated by ',';
 
fields terminated by ',';
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'''导入数据-》hive'''
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load data inpath '/college/loan.csv' into table 表名;
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load data [local] inpath ‘/root/data’ into table psn; 表示本地而不是Hadoop
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'''创建新表存储'''
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create table 表名2 like 表名2;
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'''数据过滤'''
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insert into 表名2
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select * from 表名1
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where not id is null and name is null and price is null and views is null and sales is null and stock is null
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and name not like '%包包%' and name not like'%衣%' and name not like'%女士%'
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group by id,name,price,views,sales,stock;
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'''数据分析并下载'''
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INSERT OVERWRITE LOCAL DIRECTORY '/root/college022/’
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ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t’
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SELECT count(distinct author) FROM data;
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insert into table test partition(age='xx') select id,name,tel form perop;
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'''数据切分'''
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select split(name, '\ ') from data
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where split(name, '\ ')[0]='Huawei/华为';

2020年11月18日 (三) 14:16的最新版本

1.爬取商城数据，并进行分析

具体步骤如下




上传数据

hadoop fs -mkdir -p /college hadoop fs -put /root/college/loan.csv /college


创建数据库


create database 库名; create table 表名1( id int, name string, price int, views int, sales int, stock int )row format delimited fields terminated by ',';

导入数据-》hive


load data inpath '/college/loan.csv' into table 表名;


load data [local] inpath ‘/root/data’ into table psn; 表示本地而不是Hadoop

创建新表存储

create table 表名2 like 表名2;

数据过滤


insert into 表名2 select * from 表名1 where not id is null and name is null and price is null and views is null and sales is null and stock is null and name not like '%包包%' and name not like'%衣%' and name not like'%女士%' group by id,name,price,views,sales,stock;


数据分析并下载


INSERT OVERWRITE LOCAL DIRECTORY '/root/college022/’ ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t’ SELECT count(distinct author) FROM data;

insert into table test partition(age='xx') select id,name,tel form perop;

数据切分

select split(name, '\ ') from data where split(name, '\ ')[0]='Huawei/华为';

取自“http://www.openbrains.net/mediawiki/index.php?title=数据清洗,抽取&oldid=23759”