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Sql filter document (#228)
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6
Cargo.lock
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6
Cargo.lock
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@@ -3364,13 +3364,13 @@ checksum = "accd4ea62f7bb7a82fe23066fb0957d48ef677f6eeb8215f372f52e48bb32426"
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[[package]]
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name = "vectordb"
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version = "0.1.8"
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version = "0.1.9"
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dependencies = [
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"arrow-array",
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"arrow-data",
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"arrow-schema",
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"lance",
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"object_store 0.5.6",
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"object_store 0.6.1",
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"rand",
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"snafu",
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"tempfile",
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@@ -3379,7 +3379,7 @@ dependencies = [
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[[package]]
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name = "vectordb-node"
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version = "0.1.8"
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version = "0.1.9"
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dependencies = [
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"arrow-array",
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"arrow-ipc",
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@@ -38,6 +38,7 @@ plugins:
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markdown_extensions:
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- admonition
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- footnotes
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- pymdownx.superfences
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- pymdownx.details
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- pymdownx.highlight:
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@@ -66,6 +67,7 @@ nav:
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- YouTube Transcript Search: examples/youtube_transcript_bot_with_nodejs.md
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- References:
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- Vector Search: search.md
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- SQL filters: sql.md
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- Indexing: ann_indexes.md
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- API references:
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- Python API: python/python.md
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@@ -1,4 +1,5 @@
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mkdocs==1.4.2
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mkdocs-jupyter==0.24.1
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mkdocs-material==9.1.3
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mkdocs-footnotes
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mkdocstrings[python]==0.20.0
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96
docs/src/sql.md
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docs/src/sql.md
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@@ -0,0 +1,96 @@
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# SQL filters
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LanceDB embraces the utilization of standard SQL expressions as predicates for hybrid
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filters. It can be used during hybrid vector search and deletion operations.
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Currently, Lance supports a growing list of expressions.
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* ``>``, ``>=``, ``<``, ``<=``, ``=``
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* ``AND``, ``OR``, ``NOT``
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* ``IS NULL``, ``IS NOT NULL``
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* ``IS TRUE``, ``IS NOT TRUE``, ``IS FALSE``, ``IS NOT FALSE``
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* ``IN``
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* ``LIKE``, ``NOT LIKE``
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* ``CAST``
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* ``regexp_match(column, pattern)``
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For example, the following filter string is acceptable:
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=== "Python"
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```python
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tbl.search([100, 102])
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.where("""(
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(label IN [10, 20])
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AND
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(note.email IS NOT NULL)
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) OR NOT note.created
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""")
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```
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=== "Javascript"
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```javascript
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tbl.search([100, 102])
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.where(`(
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(label IN [10, 20])
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AND
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(note.email IS NOT NULL)
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) OR NOT note.created
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`)
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```
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If your column name contains special characters or is a [SQL Keyword](https://docs.rs/sqlparser/latest/sqlparser/keywords/index.html),
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you can use backtick (`` ` ``) to escape it. For nested fields, each segment of the
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path must be wrapped in backticks.
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=== "SQL"
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```sql
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`CUBE` = 10 AND `column name with space` IS NOT NULL
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AND `nested with space`.`inner with space` < 2
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```
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!!! warning
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Field names containing periods (``.``) are not supported.
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Literals for dates, timestamps, and decimals can be written by writing the string
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value after the type name. For example
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=== "SQL"
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```sql
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date_col = date '2021-01-01'
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and timestamp_col = timestamp '2021-01-01 00:00:00'
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and decimal_col = decimal(8,3) '1.000'
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```
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For timestamp columns, the precision can be specified as a number in the type
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parameter. Microsecond precision (6) is the default.
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| SQL | Time unit |
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|------------------|--------------|
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| ``timestamp(0)`` | Seconds |
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| ``timestamp(3)`` | Milliseconds |
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| ``timestamp(6)`` | Microseconds |
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| ``timestamp(9)`` | Nanoseconds |
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LanceDB internally stores data in [Apache Arrow](https://arrow.apache.org/) format.
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The mapping from SQL types to Arrow types is:
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| SQL type | Arrow type |
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|----------|------------|
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| ``boolean`` | ``Boolean`` |
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| ``tinyint`` / ``tinyint unsigned`` | ``Int8`` / ``UInt8`` |
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| ``smallint`` / ``smallint unsigned`` | ``Int16`` / ``UInt16`` |
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| ``int`` or ``integer`` / ``int unsigned`` or ``integer unsigned`` | ``Int32`` / ``UInt32`` |
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| ``bigint`` / ``bigint unsigned`` | ``Int64`` / ``UInt64`` |
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| ``float`` | ``Float32`` |
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| ``double`` | ``Float64`` |
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| ``decimal(precision, scale)`` | ``Decimal128`` |
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| ``date`` | ``Date32`` |
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| ``timestamp`` | ``Timestamp`` [^1] |
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| ``string`` | ``Utf8`` |
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| ``binary`` | ``Binary`` |
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[^1]: See precision mapping in previous table.
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