dennis zhuang
5c4d9eb4f8
* fix: align fulltext bloom tokens with matches_term and use them for LIKE The bloom fulltext index stored tokens that did not follow matches_term's word boundaries (`_`, ASCII next to Han, Han substrings), so pruning dropped rows matches_term accepts. Tokens and query probes now share the character classes of matches_term, Han runs are indexed as bigrams, and LIKE patterns use the same probes. The bloom blob is written under a new key; blobs from older versions are no longer probed. Tantivy no longer serves matches_term. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * chore: drop unused lazy_static from index and avoid typo-flagged test tokens Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * docs: link like_probes to tokenize instead of the downstream ScriptTokenizer Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * refactor: name probe extraction with verbs and document CharClass Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * feat: rebuild legacy fulltext bloom indexes and probe lower(col) The manifest records the fulltext bloom version per column, so ADMIN BUILD_INDEX now rebuilds SSTs whose bloom index predates the current tokens, and ssts_index_meta shows the version. Case-insensitive bloom indexes also store the tokens of the whole lowercased text for rows where it can differ (U+0130, U+212A, sigma), so matches_term(lower(col), ..) and lower(col) LIKE .. use the index. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * test: cover legacy bloom index rewrite by compaction in the compat case Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * chore: log outdated fulltext bloom indexes in the consistency check Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * docs: explain the unrecorded fulltext bloom version Signed-off-by: Dennis Zhuang <killme2008@gmail.com> --------- Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
Sqlness Test
Sqlness manual
Case file
Sqlness has two types of file:
.sql: test input, SQL only.result: expected test output, SQL and its results
.result is the output (execution result) file. If you see .result files is changed,
it means this test gets a different result and indicates it fails. You should
check change logs to solve the problem.
You only need to write test SQL in .sql file, and run the test.
Case organization
The root dir of input cases is tests/cases. It contains several subdirectories stand for different test
modes. E.g., standalone/ contains all the tests to run under greptimedb standalone start mode.
Under the first level of subdirectory (e.g. the cases/standalone), you can organize your cases as you like.
Sqlness walks through every file recursively and runs them.
Kafka WAL
Sqlness supports Kafka WAL. You can either provide a Kafka cluster or let sqlness to start one for you.
To run test with kafka, you need to pass the option -w kafka. If no other options are provided, sqlness will use conf/kafka-cluster.yml to start a Kafka cluster. This requires docker and docker-compose commands in your environment.
Otherwise, you can additionally pass the your existing kafka environment to sqlness with -k option. E.g.:
cargo sqlness bare -w kafka -k localhost:9092
In this case, sqlness will not start its own kafka cluster and the one you provided instead.
Run the test
Unlike other tests, this harness is in a binary target form. You can run it with:
cargo sqlness bare
It automatically finishes the following procedures: compile GreptimeDB, start it, grab tests and feed it to
the server, then collect and compare the results. You only need to check if the .result files are changed.
If not, congratulations, the test is passed 🥳!