96b54ede4ec89ae51556e1545e0b1ff200fe80b0
4
Commits
| Author | SHA1 | Message | Date | |
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 jcoffey-dev
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08f29926d4 |
SQL queries time out; readiness follows the data store
Cluster rehearsal 3: with PostgreSQL paused (docker pause, so its kernel still answered TCP keepalives), requests on connections already checked out hung until it came back, and /healthz/ready stayed 200 through the outage. #41 bounded getting a connection, not using one. Client-side query limits (store::backend::query_timeout). Every operation on a PostgreSQL or MySQL connection now runs under a time limit. A server-side statement_timeout (or MySQL's MAX_EXECUTION_TIME, which covers SELECTs only) can't do this: the server that would enforce it is the one not answering. When an operation runs out, its connection is closed instead of pooled, since a query may still be in flight on it or a transaction open: deadpool's Object::take on PostgreSQL; Conn::disconnect on MySQL, which marks the connection closed before it sends anything, so the pool discards it even when the server never answers. - query, 2 minutes: reads, writes (the whole transaction with its retries), blobs, SQL lookups, search queries and indexing. These take milliseconds; two minutes leaves room for a large blob over a slow link and still ends a hang. - maintenance, 30 minutes: range deletes (account removal, purges), unindexing, purge_store, and creating tables and indexes at startup, which can legitimately run long in one statement. Their existing chunked fallback for server-side statement timeouts is unchanged. - iterate (exports, reindexing, maintenance scans) can run for hours, so the query limit bounds each wait for the database (preparing, the query starting, the next row) rather than the whole scan. The limits are fixed, like the pool timeouts; the DataStore schema has no field for them. Tests set them with Store::with_query_timeouts (test_mode only). Readiness. /healthz/ready answered 200 whenever a data store was configured. It now reads one key from the data store with a 2 s limit and reuses the answer for 2 s, so probes can't load the database; while one probe runs, others get the last answer. The first failed probe of an outage is logged. /healthz/live stays 200: restarting a node doesn't bring its database back, and an orchestrator restarting on failed liveness would restart every node at once. The container HEALTHCHECK already uses /healthz/live. Tests, store::pool_timeout (a proxy that stops forwarding while keeping connections open plays the paused database): - postgres_query_timeout, mysql_query_timeout (new): with four pooled connections open, a read, a scan and a write each fail with "Query timed out" 2.0 s after the pause (2 s test limit); once the proxy forwards again the store answers. With the limits set to an hour (upstream's behavior), the read was still waiting at the test's 20 s limit. - postgres_readiness (new, STORE=PostgreSql): a node's data store goes through the proxy; /healthz/ready is 200, 503 about 4 s after the pause while /healthz/live stays 200, and 200 again about 2 s after it ends. - postgres_pool_timeout, mysql_pool_timeout: pass as before. store::store_tests (PostgreSql, MySql, including the MariaDB statement timeout step) and store::task_locks (PostgreSql) pass; store::search_tests (PostgreSql) fails at the same ordering assertion (query.rs:684) as on main. |
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jcoffey-dev
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6e50ba25a9 |
SQL pools time out; task locks are a renewed five-minute lease
A 3-node rehearsal (PostgreSQL + NATS + Garage) found two ways a crash leaves work stuck: Pool hangs. The PostgreSQL pool (deadpool) was built with no timeouts, so a request waited for a free connection, and for one to be opened or recycled, for as long as it took: forever when the server stopped answering. MySQL's pool (mysql_async) has no wait timeout at all. - PostgreSQL: wait 30 s (or the store's timeout if longer), create the store's timeout or 15 s (it bounds the whole handshake, where tokio-postgres's connect_timeout covers only the TCP connect), recycle 10 s. The pool config is now always set, not only with poolMaxConnections. - MySQL: every connection is taken through MysqlStore::conn(), which gives up after 30 s. - Both: TCP keepalive after 60 s idle, so a server that vanished without closing the connection is noticed in minutes rather than the two-hour system default. The DataStore schema has no pool timeout settings, so these are fixed defaults; the store's own timeout bounds connecting on PostgreSQL. Task locks. A task lock lasted an hour, so after a hard crash the dead node's tasks waited up to an hour and five minutes. The lock is now a five-minute lease: while this node runs a task, the task manager renews its lock every third of the lifetime (InMemoryStore::renew_lock, a compare-and-set on the store backends and SET XX EX on Redis, which leaves a lock that already expired alone). A killed node's tasks run elsewhere within about five minutes plus the claim recheck. A task this node holds isn't handed to a worker again by the scan. store::pool_timeout (new): a local listener that accepts connections and never answers plays a hung server; a PostgreSQL store with a 2 s timeout returns an error in about 4 s, and a MySQL store in 30 s. Without the timeouts both wait for good. store::task_locks gains a task held for 1.5 lock lifetimes: its lease is still held, and released when the task ends. |
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jcoffey-dev
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639a415a4f |
Search: find addresses by local part, domain or name on PostgreSQL and MySQL
A 3-node PostgreSQL rehearsal found IMAP SEARCH FROM "noreply" matched 0-2 messages where RocksDB matched 23 of 930. The message indexer hands each address and display name of From/To/Cc/Bcc to the search store as keyword text (Language::None). The built-in index splits keyword text into lowercase runs of alphanumerics, so an address is found by its full form, its local part, its domain or a display-name word. The SQL backends didn't: - PostgreSQL's text parser keeps "[email protected]" as one email token (host names and URLs likewise), so neither "noreply" nor "amazon.com" ever matched it. Keyword text is now split the same way as the built-in index (SpaceTokenizer) before to_tsvector on insert and before plainto_tsquery/phraseto_tsquery on search, still under the 'simple' configuration, so the GIN index keeps serving the query. The sort columns keep the raw text. - MySQL's FULLTEXT parser already splits on punctuation, but InnoDB never indexes its stopwords ("com", "de", "www", ...) or words under innodb_ft_min_token_size (3), and a required +word it hasn't indexed matches no row. So "amazon.com", "[email protected]" or "jane doe" found nothing. Those words are now matched with a word-boundary REGEXP on the rows the indexed words select. In language text (bodies, subjects) they are dropped when other words remain, and only checked when nothing else is left, so "the invoice" no longer finds nothing either. Existing PostgreSQL search indexes hold the old single-token vectors and need a reindex (the reindexAccounts task) before address searches find old messages. MySQL needs none: only the query changed. store::search_tests gains test_address_search: five messages, 28 FROM/TO/CC/BCC searches by full address, local part, domain, domain labels, display name and hyphenated local part, plus a TEXT-style OR, with the same expected ids on every backend. It passes on RocksDB, SQLite, PostgreSQL and MySQL; on main it fails on PostgreSQL (From "noreply") and MySQL (From "[email protected]"). |
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jcoffey-dev
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7dae9b29fd |
Import upstream v0.16.22, stripped
Upstream commit: 474dd0229cb20cf513036619781ed97bd8073c3f Enterprise-only files removed or emptied: 63 Enterprise-only snippets removed: 117 in 50 files Dangling module declarations removed: 5 Cargo edits turning enterprise off: 14 Verification: clean Enterprise feature gates left for rebuilt features: 19 in 18 files Produced by tools/fork/strip.py. The full report is in docs/fork/strip-reports/ on main. |