The PostgreSQL Write-Ahead Log (WAL) is a recording location within the Postgres cluster, capturing all modifications made to the cluster’s data files before being written to the heap. During crash recovery, the WAL contains sufficient data for Postgres to restore its state to the point of the last committed transaction.

Use cases

There may arise circumstances where it becomes necessary to determine the numerical difference between the WAL files. For instance, when recovering from a significant delay or while configuring replication on a sizable database, the recovery process can be time-consuming as new WAL files are replayed. Initially, when setting up replication, the server may not permit login access. In such cases, calculating the disparity in the number of WAL files can provide an estimation of the recovery time, allowing for an assessment of the lag.

Another practical application for calculating the difference between WAL files is in the context of the archiver process. Determining the variance between WAL files makes it possible to estimate the number of remaining files that are yet to be archived.

To calculate the difference between two WAL files, let’s understand the WAL file name format.
The name format for PostgreSQL Write-Ahead Logs (WAL) files is TTTTTTTTXXXXXXXXYYYYYYYY, a 24-character hexadecimal representation of the LSN (Log Sequence Number) associated with the WAL record. The LSN is a unique identifier for each WAL record.

In format TTTTTTTTXXXXXXXXYYYYYYYY, ‘T’ is the timeline, ‘X’ is the high 32-bits from the LSN(Segment number), and ‘Y’ is the low 32-bits of the LSN.

For example, a WAL file name might look like this: “0000000100001234000000AB”.
Here’s a breakdown of the components in the example:

– “00000001”: This represents the timeline ID. It is usually 1 for the default timeline.
– “00012340”: This represents the WAL file number, indicating the sequential order of the WAL file within the timeline.
– “000000AB”: This is the hexadecimal representation of the segment file number.

We can determine the numerical difference between two WAL files with the below sql:

Let’s create a PostgreSQL function that facilitates the calculation of the numerical difference between two WAL files, making it more convenient to use to determine the variance between them.

Examples

Overall, being able to calculate the numerical difference between WAL files contributes to effective management and understanding of Postgres database recovery/archiver processes.

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jaikrn

for wal files 0000000100000002000000B6 and 000000010000000200000086 it gave answer 32 but actual wal generated was 52. any suggestion

Sagar Jadhav

The diff is actually 48,

postgres=# select get_walfile_diff(‘0000000100000002000000B6′,’000000010000000200000086’);
 get_walfile_diff
——————
        48
(1 row)

All the 49 WAL filenames between these 2 files are as below,
 000000010000000200000086
 000000010000000200000087
 000000010000000200000088
 000000010000000200000089
 00000001000000020000008A
 00000001000000020000008B
 00000001000000020000008C
 00000001000000020000008D
 00000001000000020000008E
 00000001000000020000008F
 000000010000000200000090
 000000010000000200000091
 000000010000000200000092
 000000010000000200000093
 000000010000000200000094
 000000010000000200000095
 000000010000000200000096
 000000010000000200000097
 000000010000000200000098
 000000010000000200000099
 00000001000000020000009A
 00000001000000020000009B
 00000001000000020000009C
 00000001000000020000009D
 00000001000000020000009E
 00000001000000020000009F
 0000000100000002000000A0
 0000000100000002000000A1
 0000000100000002000000A2
 0000000100000002000000A3
 0000000100000002000000A4
 0000000100000002000000A5
 0000000100000002000000A6
 0000000100000002000000A7
 0000000100000002000000A8
 0000000100000002000000A9
 0000000100000002000000AA
 0000000100000002000000AB
 0000000100000002000000AC
 0000000100000002000000AD
 0000000100000002000000AE
 0000000100000002000000AF
 0000000100000002000000B0
 0000000100000002000000B1
 0000000100000002000000B2
 0000000100000002000000B3
 0000000100000002000000B4
 0000000100000002000000B5
 0000000100000002000000B6