RJDBC错误地从数据库表中读取bigintegers | RJDBC错误地从数据库表中读取bigintegers

本文介绍了RJDBC错误地从数据库表中读取bigintegers的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我正在从数据库中检索包含大整数的列到R中(使用RJDBC dbGetQuery方法).对于一个测试用例，可以考虑以下数字

I am retrieving a column containing big integers from a data base into R (using RJDBCs dbGetQuery method). For a test case, one can consider the following numbers

1000522010609612
1000522010609613
1000522010609614
1000522010609615
1000522010609616
1000522010609617
**971000522010609612
1501000522010819466
971000522010943717
1501000522010733490**

R似乎错误地读取了内容.在R中对我可用的方式(在我使用RJDBC从数据库中读取之后)是:

R seems to be reading the contents wrongly. The way in which it is available to me in R (after I read from the database using RJDBC) is:

1000522010609612
1000522010609613
1000522010609614
1000522010609615
1000522010609616
1000522010609617
**971000522010609664
1501000522010819584
971000522010943744
1501000522010733568**

查看最后4个数字.他们错了！似乎是自动将数据转换为具有损坏的数字(对于bigints)的数据框(很好-但是).关于如何解决上述问题，特别是在使用RJDBC包使用dbGetQuery时，有什么建议吗?

See the last 4 numbers. They are wrong! It seems to be automatically converting the data into a dataframe (which is fine - but) with the corrupted numbers (for bigints). Any suggestion on how we can solve the above problem particularly when we are using dbGetQuery using RJDBC package?

推荐答案

您的数据将作为浮点数读取:

Your data is read in as floating point numbers:

DF <- read.table(text="1000522010609612
1000522010609613
1000522010609614
1000522010609615
1000522010609616
1000522010609617
971000522010609612
1501000522010819466
971000522010943717
1501000522010733490")

class(DF[,1])
#[1] "numeric"
sprintf("%20f", DF[10, 1])
#[1] "1501000522010733568.000000"

您可以将其读取为字符串并转换为大整数，也可以直接读取为大整数:

You could read it as strings and convert to big integers or read in as big integers directly:

library(bit64)

DF <- read.table(text="1000522010609612
1000522010609613
1000522010609614
1000522010609615
1000522010609616
1000522010609617
971000522010609612
1501000522010819466
971000522010943717
1501000522010733490", colClasses = "integer64")

#                    V1
#1     1000522010609612
#2     1000522010609613
#3     1000522010609614
#4     1000522010609615
#5     1000522010609616
#6     1000522010609617
#7   971000522010609612
#8  1501000522010819466
#9   971000522010943717
#10 1501000522010733490

对于您的数据库应用程序我无能为力，但这应该为解决您的问题提供一个起点.

I can't help you with your database application, but this should provide a starting point for solving your problem.

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