小编San*_*San的帖子

假设有一个csv文件名为ta_sample.csv：

"BILL_DT","AMOUNT"
"2015-07-27T18:30:00Z",16000
"2015-07-07T18:30:00Z",6110
"2015-07-26T18:30:00Z",250
"2015-07-22T18:30:00Z",1000
"2015-07-06T18:30:00Z",2640000

read_csv_arrow使用并自定义实际生产数据中始终需要的列类型来阅读上述内容：

library(arrow)
read_csv_arrow(
  "ta_sample.csv",
  col_names = c("BILL_DT", "AMOUNT"),
  col_types = "td",
  skip = 1,
  timestamp_parsers = c("%Y-%m-%dT%H:%M:%SZ"))

结果如下：

# A tibble: 5 x 2
  BILL_DT              AMOUNT
  <dttm>                <dbl>
1 2015-07-28 00:00:00   16000
2 2015-07-08 00:00:00    6110
3 2015-07-27 00:00:00     250
4 2015-07-23 00:00:00    1000
5 2015-07-07 00:00:00 2640000

这里的问题是日期增加一天并且时间消失。这里值得一提的是，data.table::fread()以及readr::read_csv()正确阅读它，例如，

library(readr)
read_csv("ta_sample.csv")
# A tibble: 5 x 2
  BILL_DT              AMOUNT
  <dttm>                <dbl>
1 2015-07-27 18:30:00 …