Konversi rentang tanggal ke deskripsi interval

11

Suatu persyaratan dalam proyek baru-baru ini adalah untuk melaporkan kapan sumber daya akan dikonsumsi sepenuhnya. Serta tanggal kalender yang melelahkan saya diminta untuk menunjukkan waktu yang tersisa dalam format seperti bahasa Inggris, sesuatu seperti "1 tahun, 3 bulan lagi."

Built-in DATEDIFFfungsi

Mengembalikan hitungan ... dari batas datepart yang ditentukan melintasi antara tanggal mulai dan akhir yang ditentukan.

Jika digunakan apa adanya, ini bisa menghasilkan hasil yang menyesatkan atau membingungkan. Misalnya, menggunakan interval YEAR akan menunjukkan 1999-12-31 (YYYY-MM-DD) dan 2000-01-01 menjadi satu tahun terpisah sedangkan akal sehat akan mengatakan bahwa tanggal-tanggal ini dipisahkan oleh hanya 1 hari. Sebaliknya menggunakan interval DAY 1999-12-31 dan 2010-12-31 dipisahkan oleh 4.018 hari sementara kebanyakan orang akan melihat "11 tahun" sebagai deskripsi yang lebih baik.

Mulai dari jumlah hari dan perhitungan bulan dan tahun dari sana akan cenderung untuk melewati tahun dan ukuran bulan.

Saya bertanya-tanya bagaimana ini dapat diimplementasikan dalam berbagai dialek SQL? Contoh output meliputi:

create table TestData(
    FromDate date not null,
    ToDate date not null,
    ExpectedResult varchar(100) not null); -- exact formatting is unimportant

insert TestData (FromDate, ToDate, ExpectedResult)
values ('1999-12-31', '1999-12-31', '0 days'),
       ('1999-12-31', '2000-01-01', '1 day'),
       ('2000-01-01', '2000-02-01', '1 month'),
       ('2000-02-01', '2000-03-01', '1 month'),              -- month length not important
       ('2000-01-28', '2000-02-29', '1 month, 1 day'),       -- leap years to be accounted for
       ('2000-01-01', '2000-12-31', '11 months, 30 days'),
       ('2000-02-28', '2000-03-01', '2 days'),
       ('2001-02-28', '2001-03-01', '1 day'),                -- not a leap year
       ('2000-01-01', '2001-01-01', '1 year'),
       ('2000-01-01', '2011-01-01', '11 years'),
       ('9999-12-30', '9999-12-31', '1 day'),                -- catch overflow in date calculations
       ('1900-01-01', '9999-12-31', '8099 years 11 months 30 days');  -- min(date) to max(date)

Saya kebetulan menggunakan SQL Server 2008R2 tetapi saya tertarik untuk mempelajari bagaimana dialek lain akan menangani ini.

Michael Green
sumber

Jawaban:

9

Solusi berikut adalah untuk SQL Server. Pendekatannya mirip dengan Serg dalam hal kueri hanya menggunakan fungsi DATEADD dan DATEDIFF. Namun, itu tidak memperhitungkan interval negatif ( FromDate > ToDate ), dan itu diperoleh bertahun-tahun dari perbedaan total bulan:

WITH
  MonthDiff AS
  (
    SELECT
      t.FromDate,
      t.ToDate,
      t.ExpectedResult,
      Months = x.Months - CASE WHEN DAY(t.FromDate) > DAY(t.ToDate) THEN 1 ELSE 0 END
    FROM
      dbo.TestData AS t
      CROSS APPLY (SELECT DATEDIFF(MONTH, t.FromDate, t.ToDate)) AS x (Months)
  )
SELECT
  t.FromDate,
  t.ToDate,
  t.ExpectedResult,
  Result = ISNULL(NULLIF(ISNULL(x.Years  + CASE x.Years  WHEN '1' THEN ' year '  ELSE ' years '  END, '')
                       + ISNULL(x.Months + CASE x.Months WHEN '1' THEN ' month ' ELSE ' months ' END, '')
                       + ISNULL(x.Days   + CASE x.Days   WHEN '1' THEN ' day '   ELSE ' days '   END, ''), ''), '0 days')
FROM
  MonthDiff AS t
  CROSS APPLY
  (
    SELECT
      CAST(NULLIF(t.Months / 12, 0) AS varchar(10)),
      CAST(NULLIF(t.Months % 12, 0) AS varchar(10)),
      CAST(NULLIF(DATEDIFF(DAY, DATEADD(MONTH, t.Months, t.FromDate), t.ToDate), 0) AS varchar(10))
  ) AS x (Years, Months, Days)
;

Keluaran:

FromDate    ToDate      ExpectedResult                 Result
----------  ----------  -----------------------------  -----------------------------
1999-12-31  1999-12-31  0 days                         0 days
1999-12-31  2000-01-01  1 day                          1 day 
2000-01-01  2000-02-01  1 month                        1 month 
2000-02-01  2000-03-01  1 month                        1 month 
2000-01-28  2000-02-29  1 month, 1 day                 1 month 1 day 
2000-01-01  2000-12-31  11 months, 30 days             11 months 30 days 
2000-02-28  2000-03-01  2 days                         2 days 
2001-02-28  2001-03-01  1 day                          1 day 
2000-01-01  2001-01-01  1 year                         1 year 
2000-01-01  2011-01-01  11 years                       11 years 
9999-12-30  9999-12-31  1 day                          1 day 
1900-01-01  9999-12-31  8099 years 11 months 30 days   8099 years 11 months 30 days 
Andriy M
sumber
10

Jawaban ini menunjukkan implementasi menggunakan fungsi SQL Server (2005+) CLR.

-- Enable CLR (if necessary)
EXECUTE sys.sp_configure 
    @configname = 'clr enabled',
    @configvalue = 1;

RECONFIGURE;

Perakitan dan fungsi

CREATE ASSEMBLY DBA
AUTHORIZATION dbo
FROM 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
WITH PERMISSION_SET = SAFE;
GO
CREATE FUNCTION dbo.IntervalDescription
(
    @From date, 
    @To date
)
RETURNS nvarchar(100)
AS EXTERNAL NAME 
    DBA.UserDefinedFunctions.IntervalDescription;

Pemakaian

SELECT 
    TD.FromDate,
    TD.ToDate,
    TD.ExpectedResult, 
    IntervalDescription = dbo.IntervalDescription(TD.FromDate, TD.ToDate) 
FROM dbo.TestData AS TD;

Hasil

Rencana

Keluaran

Sumber

Saya bukan programmer C #!

using Microsoft.SqlServer.Server;
using System;
using System.Text;

public partial class UserDefinedFunctions
{
    [SqlFunction
        (
        DataAccess = DataAccessKind.None,
        SystemDataAccess = SystemDataAccessKind.None,
        IsDeterministic = true,
        IsPrecise = true,
        Name = "IntervalDescription"
        )
    ]
    [return: SqlFacet(IsFixedLength = false, IsNullable = false, MaxSize = 100)]
    public static string IntervalDescription(DateTime From, DateTime To)
    {
        var workDate = From;
        int years = To.Year - From.Year;
        int months = 0;
        int days = 0;

        if (years != 0)
        {
            if (From.Month > To.Month || (From.Month == To.Month && From.Day > To.Day))
            {
                years--;
            }
            workDate = workDate.AddYears(years);
        }

        while (workDate < To && (workDate.Year != DateTime.MaxValue.Year || workDate.Month != DateTime.MaxValue.Month))
        {
            if (workDate.AddMonths(1) <= To)
            {
                months++;
                workDate = workDate.AddMonths(1);
            }
            else
            {
                break;
            }
        }

        while (workDate < To)
        {
            days++;
            workDate = workDate.AddDays(1);
        }

        StringBuilder sb = new StringBuilder(100);

        if (years > 0)
        {
            sb.Append(years);
            sb.Append(years == 1 ? " year" : " years");
            sb.Append((months > 0 || days > 0) ? ", " : string.Empty);
        }

        if (months > 0)
        {
            sb.Append(months);
            sb.Append(months == 1 ? " month" : " months");
            sb.Append(days > 0 ? ", " : string.Empty);
        }

        if (days > 0 || (years == 0 && months == 0))
        {
            sb.Append(days);
            sb.Append(days == 1 ? " day" : " days");
        }

        return
            sb.ToString();

    }
}
Paul White 9
sumber
8

Versi saya, diimplementasikan dalam SQL Server 2008R2 SP2.

CREATE FUNCTION dbo.ReadableInterval(
    @FromDate AS date,
    @ToDate AS date
)
RETURNS TABLE AS RETURN 
(
with YearStep as
(
    select
        max(n1.Number) as YearNumber
    from dbo.Numbers as n1
    where n1.Number <= DATEDIFF(YEAR, @FromDate, @ToDate)  -- see comment (A)
    and DATEADD(YEAR, n1.Number, @FromDate) <= @ToDate     -- see comment (B)
)
, MonthStep as
(
    select
        max(n2.Number) as MonthNumber
    from dbo.Numbers as n2
    cross apply YearStep as y1
    where n2.Number <= DATEDIFF(MONTH, DATEADD(YEAR, y1.YearNumber, @FromDate), @ToDate)
    and DATEADD(MONTH, n2.Number, DATEADD(YEAR, y1.YearNumber, @FromDate)) <= @ToDate
)
, DayStep as
(
    select
        DATEDIFF(day, DATEADD(MONTH, m1.MonthNumber, DATEADD(YEAR, y2.YearNumber, @FromDate)), @ToDate) as DayNumber
    from MonthStep as m1
    cross apply YearStep as y2
)
select
    y.YearNumber,
    m.MonthNumber,
    d.DayNumber
from YearStep as y
cross apply MonthStep as m
cross apply DayStep as d
)

Dengan data uji yang diberikan hasilnya adalah

select
    td.FromDate,
    td.ToDate,
    td.ExpectedResult,
    ri.YearNumber as Years,
    ri.MonthNumber as Months,
    ri.DayNumber as [Days]
from dbo.TestData as td
cross apply dbo.ReadableInterval(td.FromDate, td.ToDate) as ri;
FromDate   ToDate     ExpectedResult               Years Months Days
---------- ---------- ---------------------------- ----- ------ ----
1999-12-31 1999-12-31 0 days                           0      0    0
1999-12-31 2000-01-01 1 day                            0      0    1
2000-01-01 2000-02-01 1 month                          0      1    0
2000-02-01 2000-03-01 1 month                          0      1    0
2000-01-28 2000-02-29 1 month, 1 day                   0      1    1
2000-01-01 2000-12-31 11 months, 30 days               0     11   30
2000-02-28 2000-03-01 2 days                           0      0    2
2001-02-28 2001-03-01 1 day                            0      0    1
2000-01-01 2001-01-01 1 year                           1      0    0
2000-01-01 2011-01-01 11 years                        11      0    0
9999-12-30 9999-12-31 1 day                            0      0    1
1900-01-01 9999-12-31 8099 years 11 months 30 days  8099     11   30

Penjelasan

Pendekatan umum saya adalah melangkah maju dari tanggal sebelumnya, pertama tahun, lalu bulan, lalu hari. Pada setiap tingkat granularitas, tujuannya adalah untuk mendekati tanggal akhir tanpa melewatinya, kemudian melanjutkan ke tingkat yang lebih rendah berikutnya.

Saya menggunakan tabel angka untuk memfasilitasi perhitungan close-to-but-not-over. Dari tabel ini dan DATEADDsaya dapat menemukan jumlah tahun / bulan / hari terbesar yang mendahului ToDate- komentar (B) dalam kode.

Karena saya mencari nomor MAX dan tabel Nomor saya mengelompok di atasnya, pengoptimal melakukan pemindaian menurun, memasukkan nilai ke DATEADD. Ini menyebabkan kesalahan luapan tanggal karena Numbers berisi lebih dari 100.000 baris. DATEADD(YEAR, 100000, @FromDate)lebih besar dari 9999-12-31 dan kesalahan muncul. Predicate (A) memberikan batas atas pada nilai Number dari mana pemindaian mundur dimulai, menghindari tanggal overflow. Akibatnya, rencana kueri melewati sangat sedikit baris untuk rentang tanggal yang sangat besar.

Pendekatan ini digunakan untuk menemukan tahun dan bulan, kecuali titik awal selama berbulan-bulan dimunculkan oleh namun bertahun-tahun saya temukan di CTE pertama. DAYS adalah tingkat granularitas terendah saya sehingga DATEIFF sederhana sudah cukup.

Ini dapat diperluas ke granularity yang lebih halus, mengembalikan interval dalam jam, menit dan detik jika diperlukan.

Michael Green
sumber
7

PostgreSQL mendukung agefungsi out-of-the-box:

select
  FromDate,
  ToDate,
  ExpectedResult,
  age(ToDate, FromDate)
from TestData;

Ini memberikan hasil yang diinginkan, memberi atau menerima beberapa nilai waktu tambahan.

FromDate      ToDate        ExpectedResult                  age
----------    ----------    ----------------------------    --------------------------
1999-12-31    1999-12-31    0 days                          00:00:00
1999-12-31    2000-01-01    1 day                           1 day
2000-01-01    2000-02-01    1 month                         1 mon
2000-02-01    2000-03-01    1 month                         1 mon
2000-01-28    2000-02-29    1 month, 1 day                  1 mon 1 day
2000-01-01    2000-12-31    11 months, 30 days              11 mons 30 days
2000-02-28    2000-03-01    2 days                          2 days
2001-02-28    2001-03-01    1 day                           1 day
2000-01-01    2001-01-01    1 year                          1 year
2000-01-01    2011-01-01    11 years                        11 years
9999-12-30    9999-12-31    1 day                           1 day
1900-01-01    9999-12-31    8099 years 11 months 30 days    8099 years 11 mons 30 days
Michael Green
sumber
5

Versi tanpa numbertabel atau penghitungan diperlukan. Memberikan hasil yang sama pada data uji Michael Green. Mereka berbeda pada data di mana @FromDate > @ToDate. ReadableInterval2mengembalikan nilai negatif yang bertentangan dengan nol.

CREATE FUNCTION dbo.ReadableInterval2(
    @FromDate AS date,
    @ToDate AS date
)
RETURNS TABLE AS RETURN 
(with checkData as (
    select 
       fromDate = case when @FromDate > @ToDate then @ToDate else @FromDate end,
       toDate = case when @FromDate <= @ToDate then @ToDate else @FromDate end,
       k = case when @FromDate > @ToDate then -1 else 1 end
), MonthStep as (
    select k, FromDate, ToDate,
        YearNumber = x.months / 12,
        MonthNumber = x.months % 12
    from checkdata
    cross apply(
        select months = DATEDIFF(MONTH, FromDate, ToDate)
            - case when DAY(FromDate) > DAY(ToDate) then 1 else 0 end
        ) x
)
select YearNumber = k*YearNumber, 
      MonthNumber = k*MonthNumber,
      DayNumber = k*DATEDIFF(day, DATEADD(MONTH, MonthNumber, DATEADD(YEAR, YearNumber, FromDate)), ToDate) 
    from MonthStep 
)
Serg
sumber
1
Apa yang salah dengan memiliki tabel angka? Mereka cukup berguna untuk berbagai masalah, memiliki jejak yang agak kecil, dan sering berkinerja lebih baik daripada alternatif (CTE rekursif, XML, dll.).
Aaron Bertrand
3
@ AaronBertrand Saya setuju mereka cukup berguna. Tapi di sini saya tidak bisa melihat tabel nomor masalah mana yang membantu untuk dipecahkan. Tidak ada rekursi, tidak ada fungsi DATEADD, DATEIFF XML, skalar murni. Sedikit verbose, mungkin.
Serg
Yang bagus! Saya telah mengambil pemesanan FromDate / ToDate seperti yang diberikan karena sudah divalidasi di tempat lain, tetapi poin yang bagus dibuat dengan baik. Memiliki nilai negatif dalam hasilnya adalah tambahan yang bermanfaat.
Michael Green