Re: [PROPOSAL] Doublewrite Buffer as an alternative torn page protection to Full Page Write

From: wenhui qiu <qiuwenhuifx(at)gmail(dot)com>
To: 陈宗志 <baotiao(at)gmail(dot)com>
Cc: Robert Treat <rob(at)xzilla(dot)net>, Jakub Wartak <jakub(dot)wartak(at)enterprisedb(dot)com>, pgsql-hackers(at)postgresql(dot)org
Subject: Re: [PROPOSAL] Doublewrite Buffer as an alternative torn page protection to Full Page Write
Date: 2026-02-27 12:38:41
Message-ID: CAGjGUAKd70W3YZ9Dg_DTVAQW4NpH7b6q3-h+0=c6bhW6O+S=4Q@mail.gmail.com
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Hi
This test is completely meaningless. Just as you wouldn't set
innodb_redo_log_capacity=Minimum Value, innodb_max_dirty_pages_pct=Minimum
Value
You used an extreme example to prove the double write.Why didn't you
compare using best practices?

Thank

On Fri, Feb 27, 2026 at 7:43 PM 陈宗志 <baotiao(at)gmail(dot)com> wrote:

> Hi wenhui,
>
> Here are the latest benchmark results for the Double Write Buffer (DWB)
> proposal. In this round of testing, I have included the two-phase
> checkpoint batch fsync optimization and evaluated the impact of
> wal_compression (lz4) on both FPW and DWB.
>
> Test Environment:
> - PostgreSQL: 19devel (with DWB patch applied)
> - Hardware: Linux 5.10, x86_64
> - Configuration:
> * shared_buffers = 1GB
> * max_wal_size = 32MB (to stress checkpoint frequency)
> * wal_compression = lz4
> * double_write_buffer_size = 128MB (for DWB mode)
> - Workload: sysbench 1.1.0, 10 tables x 1,000,000 rows (~2.3GB dataset)
> - Method: 16 threads, 60 seconds per run, each mode tested
> independently (only one instance running at a time to eliminate
> I/O contention).
>
> Three modes compared:
> - FPW: io_torn_pages_protection = full_pages (current default)
> - DWB: io_torn_pages_protection = double_writes
> - OFF: io_torn_pages_protection = off (no protection, baseline)
>
> Results with wal_compression = lz4
> ----------------------------------
> 1. oltp_write_only (pure write transactions: UPDATE + DELETE + INSERT)
>
> Mode TPS vs FPW vs OFF
> ---- ------ ------ ------
> FPW 13,772 - -64.3%
> DWB 20,660 +50.0% -46.5%
> OFF 38,588 +180.2% -
>
> 2. oltp_update_non_index (single UPDATE per transaction)
>
> Mode TPS vs FPW vs OFF
> ---- ------ ------ ------
> FPW 59,427 - -57.5%
> DWB 104,328 +75.6% -25.4%
> OFF 139,870 +135.4% -
>
> 3. oltp_read_write (mixed: 70% reads + 30% writes)
>
> Mode TPS vs FPW vs OFF
> ---- ------ ------ ------
> FPW 6,232 - -9.0%
> DWB 4,408 -29.3% -35.6%
> OFF 6,845 +9.8% -
>
>
> Results without wal_compression (for comparison)
> ------------------------------------------------
> Workload FPW DWB DWB vs FPW
> -------- ------ ------ ----------
> oltp_write_only 9,651 22,111 +129.1%
> oltp_update_non_index 48,624 98,356 +102.3%
> oltp_read_write 5,414 5,275 -2.6%
>
>
> Key Observations:
>
> 1. Write-heavy workloads: DWB outperforms FPW by +50% to +76% even
> with lz4 compression enabled. Without lz4, the advantage grows
> to +102% to +129% because uncompressed full-page images cause
> severe WAL bloat.
>
> 2. lz4 compression significantly helps FPW: For oltp_write_only, lz4
> boosts FPW from 9,651 to 13,772 TPS (+43%), while DWB sees minimal
> change (22,111 -> 20,660). This is expected -- lz4 compresses the
> 8KB full-page images that FPW writes to WAL, but DWB doesn't
> generate FPIs at all, so lz4 has little effect on DWB's WAL volume.
>
> 3. Read-heavy mixed workloads: DWB shows a regression (-29%) in
> oltp_read_write with lz4. This workload is 70% reads with only 4
> write operations per transaction, so FPW overhead is minimal.
> Meanwhile, DWB incurs additional I/O overhead from writing pages
> to the double write buffer file, which outweighs the WAL savings
> in this scenario.
>
> 4. Batch fsync optimization is critical for DWB: The two-phase
> checkpoint approach (batch all DWB writes in Phase 1 -> single
> fsync -> data file writes in Phase 2) reduces checkpoint DWB
> fsyncs from millions to ~hundreds. For example, in
> oltp_write_only: 1,157,729 DWB page writes -> only 148 fsyncs.
>
> Summary:
>
> DWB provides substantial performance benefits for write-intensive
> workloads with frequent checkpoints, which is the scenario where FPW
> overhead is most pronounced. The advantage is most significant without
> WAL compression (+100~130%), and remains strong (+50~76%) even with
> lz4 enabled. For read-dominated mixed workloads, DWB currently shows
> overhead that needs further optimization (reducing non-checkpoint
> DWB fsync costs).
>
> Regards,
> Baotiao
>

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