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perf(db): UNLOGGED permission_reference and LZ4 compression on variable-length columns (#35187)
## Summary Closes #35186 Two PostgreSQL storage optimizations implemented as startup tasks with corresponding `postgres.sql` updates for fresh installs. ### Hot-rodding the DB - UNLOGGED `permission_reference` table is a cache. It gets flushed and rebuilt when dotCMS caches get flushed. Perfect candidate for unlogged. We are already running this in one of our largest customers environments. - LZ4 : - Write Performance (INSERT): LZ4 is approximately 80% faster than PGLZ during data insertion. It takes only about 20% of the time PGLZ requires for the same data. - Read Performance (SELECT): Query execution times can improve by up to 72% for text-heavy workloads. On average, SELECT statements are about 20% faster with LZ4 compared to PGLZ. - Compression Ratio: PGLZ is slightly more efficient at saving space, typically providing a 7% better compression ratio than LZ4. ### What was done - Convert `permission_reference` to UNLOGGED — eliminates WAL overhead on a regenerable permission cache (~2–3× faster permission rebuilds) - Set LZ4 compression on all 102 text/bytea/jsonb columns — ~3–5× faster TOAST decompression vs pglz default, reduces read latency on content delivery, page rendering, and workflow evaluation ## Test plan - [ ] Start dotCMS against an existing database — verify `Task260403SetPermissionReferenceUnlogged` runs and `pg_class.relpersistence = 'u'` for `permission_reference` - [ ] Verify `Task260403SetLz4CompressionOnTextColumns` runs and spot-check `pg_attribute.attcompression = 'l'` on `contentlet.contentlet_as_json` and `template.body` - [ ] Re-restart — verify both tasks do not re-run (idempotency via `forceRun()`) - [ ] Fresh install from `postgres.sql` — verify `permission_reference` is UNLOGGED and columns show LZ4 compression - [ ] Verify permission rebuilds still function correctly after UNLOGGED conversion 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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package com.dotmarketing.startup.runonce;
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import com.dotmarketing.common.db.DotConnect;
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import com.dotmarketing.exception.DotDataException;
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import com.dotmarketing.startup.StartupTask;
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import com.dotmarketing.util.Logger;
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import java.sql.SQLException;
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import java.util.List;
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import java.util.Map;
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/**
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* Sets LZ4 compression on every {@code text}, {@code bytea}, {@code jsonb}, and {@code json}
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* column in the {@code public} schema that uses TOAST storage.
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*
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* <h3>Why LZ4?</h3>
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* PostgreSQL defaults to pglz for TOAST compression. LZ4 decompresses roughly 3–5× faster
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* than pglz while achieving comparable (often slightly better) ratios on typical dotCMS data
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* (HTML, JSON, workflow payloads). Read-heavy workloads — content delivery, page rendering,
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* workflow evaluation — pay the decompression cost on every fetch of a TOASTed column, so
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* faster decompression directly reduces latency.
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*
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* <h3>Scope</h3>
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* Only columns with TOAST-eligible storage are targeted (extended / external / main).
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* Plain-storage columns (e.g. short {@code varchar}) are excluded automatically via
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* the {@code pg_attribute.attstorage} filter. Columns already using LZ4
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* ({@code attcompression = 'l'}) are skipped — the task is fully idempotent.
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*
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* <h3>Effect on existing data</h3>
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* {@code SET COMPRESSION lz4} changes the compression method for <em>future</em> writes only.
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* Existing TOASTed values are not rewritten immediately — they retain their original encoding
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* until the row is next updated. This makes the migration instant and lock-free.
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*
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* @since Apr 3rd, 2026
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*/
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public class Task260403SetLz4CompressionOnTextColumns implements StartupTask {
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/**
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* Finds all TOAST-eligible text/bytea/jsonb/json columns in the public schema that do not
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* yet use LZ4 compression.
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*
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* <p>Storage codes: 'x' = extended (TOAST, compressed), 'e' = external (TOAST,
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* uncompressed), 'm' = main (inline compressed). Compression code 'l' = lz4.
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*/
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private static final String FIND_COLUMNS_SQL =
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"SELECT c.relname AS tbl, a.attname AS col " +
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" FROM pg_attribute a " +
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" JOIN pg_class c ON c.oid = a.attrelid " +
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" JOIN pg_namespace n ON n.oid = c.relnamespace " +
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" JOIN pg_type t ON t.oid = a.atttypid " +
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" WHERE n.nspname = 'public' " +
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" AND c.relkind = 'r' " +
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" AND a.attnum > 0 " +
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" AND NOT a.attisdropped " +
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" AND t.typname IN ('text', 'bytea', 'jsonb', 'json') " +
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" AND a.attstorage IN ('x', 'e', 'm') " +
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" AND a.attcompression != 'l' " +
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" ORDER BY c.relname, a.attname";
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@Override
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public boolean forceRun() {
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return true;
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}
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@Override
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public void executeUpgrade() throws DotDataException {
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final List<Map<String, Object>> columns = new DotConnect()
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.setSQL(FIND_COLUMNS_SQL)
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.loadObjectResults();
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if (columns.isEmpty()) {
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Logger.info(this, "All eligible columns already use LZ4 compression — nothing to do");
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return;
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}
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Logger.info(this, "Setting LZ4 compression on " + columns.size() + " column(s)");
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int updated = 0;
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int failed = 0;
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for (final Map<String, Object> row : columns) {
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final String table = (String) row.get("tbl");
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final String column = (String) row.get("col");
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try {
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new DotConnect().executeStatement(
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"ALTER TABLE " + table + " ALTER COLUMN " + column + " SET COMPRESSION lz4");
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updated++;
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} catch (final SQLException e) {
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Logger.warn(this, "Failed to set LZ4 on " + table + "." + column
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+ ": " + e.getMessage());
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failed++;
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}
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}
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Logger.info(this, "LZ4 compression migration complete — "
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+ updated + " column(s) updated, " + failed + " skipped due to errors");
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}
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}
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package com.dotmarketing.startup.runonce;
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import com.dotmarketing.common.db.DotConnect;
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import com.dotmarketing.exception.DotDataException;
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import com.dotmarketing.startup.StartupTask;
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import com.dotmarketing.util.Logger;
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import java.sql.SQLException;
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/**
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* Converts the {@code permission_reference} table to UNLOGGED.
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*
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* <p>UNLOGGED tables bypass WAL (Write-Ahead Logging), which eliminates the
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* per-row WAL write cost on every INSERT/UPDATE/DELETE. This table is a pure
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* denormalized cache — rows are rebuilt automatically by the permission system
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* whenever they are invalidated. Losing this data on an unexpected crash is
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* completely safe because the permission system rebuilds it on demand.
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*
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* <p>Expected benefits:
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* <ul>
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* <li>~2–3× faster INSERT/DELETE throughput on permission rebuilds</li>
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* <li>Reduced WAL volume, lowering I/O pressure and replication lag</li>
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* <li>Smaller checkpoints during mass permission recalculation</li>
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* </ul>
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*
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* <p>{@code ALTER TABLE ... SET UNLOGGED} rewrites the table (brief exclusive
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* lock) and truncates the unlogged table on replica nodes — expected behaviour
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* since permission_reference is never read-from replicas directly.
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*
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* @since Apr 3rd, 2026
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*/
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public class Task260403SetPermissionReferenceUnlogged implements StartupTask {
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private static final String TABLE_NAME = "permission_reference";
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@Override
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public boolean forceRun() {
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return true;
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}
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@Override
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public void executeUpgrade() throws DotDataException {
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try {
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Logger.info(this, "Converting " + TABLE_NAME + " to UNLOGGED");
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new DotConnect().executeStatement(
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"ALTER TABLE " + TABLE_NAME + " SET UNLOGGED");
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Logger.info(this, "Successfully converted " + TABLE_NAME + " to UNLOGGED");
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} catch (final SQLException e) {
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throw new DotDataException(
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"Failed to set " + TABLE_NAME + " UNLOGGED: " + e.getMessage(), e);
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}
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}
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}

dotCMS/src/main/java/com/dotmarketing/util/TaskLocatorUtil.java

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import com.dotmarketing.startup.runonce.Task260206AddUsagePortletToMenu;
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import com.dotmarketing.startup.runonce.Task260320AddPluginsPortletToMenu;
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import com.dotmarketing.startup.runonce.Task260324AddIdentifierPathTriggerIndex;
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import com.dotmarketing.startup.runonce.Task260403SetLz4CompressionOnTextColumns;
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import com.dotmarketing.startup.runonce.Task260403SetPermissionReferenceUnlogged;
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import com.google.common.collect.ImmutableList;
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import java.util.ArrayList;
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.add(Task260206AddUsagePortletToMenu.class)
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.add(Task260320AddPluginsPortletToMenu.class)
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.add(Task260324AddIdentifierPathTriggerIndex.class)
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.add(Task260403SetLz4CompressionOnTextColumns.class)
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.add(Task260403SetPermissionReferenceUnlogged.class)
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.build();
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return ret.stream().sorted(classNameComparator).collect(Collectors.toList());

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