This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch asf-staging
in repository https://gitbox.apache.org/repos/asf/datafusion-python.git
The following commit(s) were added to refs/heads/asf-staging by this push:
new 8e68bc72 Publish built docs triggered by
9b6acec075f49d551a2b90608b0c7114de84d718
8e68bc72 is described below
commit 8e68bc723fcc63ad2809055d7b37246709706656
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Thu Jun 19 18:03:13 2025 +0000
Publish built docs triggered by 9b6acec075f49d551a2b90608b0c7114de84d718
---
_sources/autoapi/datafusion/context/index.rst.txt | 21 ++++++----
_sources/autoapi/datafusion/index.rst.txt | 8 ++--
_sources/autoapi/datafusion/io/index.rst.txt | 8 ++--
autoapi/datafusion/context/index.html | 30 ++++++++++----
autoapi/datafusion/index.html | 8 ++--
autoapi/datafusion/io/index.html | 8 ++--
genindex.html | 2 +
objects.inv | Bin 7868 -> 7881 bytes
searchindex.js | 2 +-
user-guide/common-operations/aggregations.html | 34 ++++++++--------
user-guide/common-operations/basic-info.html | 46 +++++++++++-----------
user-guide/common-operations/functions.html | 20 +++++-----
12 files changed, 104 insertions(+), 83 deletions(-)
diff --git a/_sources/autoapi/datafusion/context/index.rst.txt
b/_sources/autoapi/datafusion/context/index.rst.txt
index c086b8e0..0a653655 100644
--- a/_sources/autoapi/datafusion/context/index.rst.txt
+++ b/_sources/autoapi/datafusion/context/index.rst.txt
@@ -417,6 +417,11 @@ Module Contents
+ .. py:method:: _convert_table_partition_cols(table_partition_cols:
list[tuple[str, str | pyarrow.DataType]]) -> list[tuple[str, pyarrow.DataType]]
+ :staticmethod:
+
+
+
.. py:method:: catalog(name: str = 'datafusion') ->
datafusion.catalog.Catalog
Retrieve a catalog by name.
@@ -550,7 +555,7 @@ Module Contents
- .. py:method:: read_avro(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, file_partition_cols: list[tuple[str, str]] | None = None,
file_extension: str = '.avro') -> datafusion.dataframe.DataFrame
+ .. py:method:: read_avro(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, file_partition_cols: list[tuple[str, str | pyarrow.DataType]] |
None = None, file_extension: str = '.avro') -> datafusion.dataframe.DataFrame
Create a :py:class:`DataFrame` for reading Avro data source.
@@ -563,7 +568,7 @@ Module Contents
- .. py:method:: read_csv(path: str | pathlib.Path | list[str] |
list[pathlib.Path], schema: pyarrow.Schema | None = None, has_header: bool =
True, delimiter: str = ',', schema_infer_max_records: int = 1000,
file_extension: str = '.csv', table_partition_cols: list[tuple[str, str]] |
None = None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
+ .. py:method:: read_csv(path: str | pathlib.Path | list[str] |
list[pathlib.Path], schema: pyarrow.Schema | None = None, has_header: bool =
True, delimiter: str = ',', schema_infer_max_records: int = 1000,
file_extension: str = '.csv', table_partition_cols: list[tuple[str, str |
pyarrow.DataType]] | None = None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
Read a CSV data source.
@@ -585,7 +590,7 @@ Module Contents
- .. py:method:: read_json(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, schema_infer_max_records: int = 1000, file_extension: str =
'.json', table_partition_cols: list[tuple[str, str]] | None = None,
file_compression_type: str | None = None) -> datafusion.dataframe.DataFrame
+ .. py:method:: read_json(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, schema_infer_max_records: int = 1000, file_extension: str =
'.json', table_partition_cols: list[tuple[str, str | pyarrow.DataType]] | None
= None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
Read a line-delimited JSON data source.
@@ -602,7 +607,7 @@ Module Contents
- .. py:method:: read_parquet(path: str | pathlib.Path, table_partition_cols:
list[tuple[str, str]] | None = None, parquet_pruning: bool = True,
file_extension: str = '.parquet', skip_metadata: bool = True, schema:
pyarrow.Schema | None = None, file_sort_order: list[list[datafusion.expr.Expr |
datafusion.expr.SortExpr]] | None = None) -> datafusion.dataframe.DataFrame
+ .. py:method:: read_parquet(path: str | pathlib.Path, table_partition_cols:
list[tuple[str, str | pyarrow.DataType]] | None = None, parquet_pruning: bool =
True, file_extension: str = '.parquet', skip_metadata: bool = True, schema:
pyarrow.Schema | None = None, file_sort_order: list[list[datafusion.expr.Expr |
datafusion.expr.SortExpr]] | None = None) -> datafusion.dataframe.DataFrame
Read a Parquet source into a :py:class:`~datafusion.dataframe.Dataframe`.
@@ -634,7 +639,7 @@ Module Contents
- .. py:method:: register_avro(name: str, path: str | pathlib.Path, schema:
pyarrow.Schema | None = None, file_extension: str = '.avro',
table_partition_cols: list[tuple[str, str]] | None = None) -> None
+ .. py:method:: register_avro(name: str, path: str | pathlib.Path, schema:
pyarrow.Schema | None = None, file_extension: str = '.avro',
table_partition_cols: list[tuple[str, str | pyarrow.DataType]] | None = None)
-> None
Register an Avro file as a table.
@@ -680,7 +685,7 @@ Module Contents
- .. py:method:: register_json(name: str, path: str | pathlib.Path, schema:
pyarrow.Schema | None = None, schema_infer_max_records: int = 1000,
file_extension: str = '.json', table_partition_cols: list[tuple[str, str]] |
None = None, file_compression_type: str | None = None) -> None
+ .. py:method:: register_json(name: str, path: str | pathlib.Path, schema:
pyarrow.Schema | None = None, schema_infer_max_records: int = 1000,
file_extension: str = '.json', table_partition_cols: list[tuple[str, str |
pyarrow.DataType]] | None = None, file_compression_type: str | None = None) ->
None
Register a JSON file as a table.
@@ -699,7 +704,7 @@ Module Contents
- .. py:method:: register_listing_table(name: str, path: str | pathlib.Path,
table_partition_cols: list[tuple[str, str]] | None = None, file_extension: str
= '.parquet', schema: pyarrow.Schema | None = None, file_sort_order:
list[list[datafusion.expr.Expr | datafusion.expr.SortExpr]] | None = None) ->
None
+ .. py:method:: register_listing_table(name: str, path: str | pathlib.Path,
table_partition_cols: list[tuple[str, str | pyarrow.DataType]] | None = None,
file_extension: str = '.parquet', schema: pyarrow.Schema | None = None,
file_sort_order: list[list[datafusion.expr.Expr | datafusion.expr.SortExpr]] |
None = None) -> None
Register multiple files as a single table.
@@ -726,7 +731,7 @@ Module Contents
- .. py:method:: register_parquet(name: str, path: str | pathlib.Path,
table_partition_cols: list[tuple[str, str]] | None = None, parquet_pruning:
bool = True, file_extension: str = '.parquet', skip_metadata: bool = True,
schema: pyarrow.Schema | None = None, file_sort_order:
list[list[datafusion.expr.SortExpr]] | None = None) -> None
+ .. py:method:: register_parquet(name: str, path: str | pathlib.Path,
table_partition_cols: list[tuple[str, str | pyarrow.DataType]] | None = None,
parquet_pruning: bool = True, file_extension: str = '.parquet', skip_metadata:
bool = True, schema: pyarrow.Schema | None = None, file_sort_order:
list[list[datafusion.expr.SortExpr]] | None = None) -> None
Register a Parquet file as a table.
diff --git a/_sources/autoapi/datafusion/index.rst.txt
b/_sources/autoapi/datafusion/index.rst.txt
index 5873d575..10c93ace 100644
--- a/_sources/autoapi/datafusion/index.rst.txt
+++ b/_sources/autoapi/datafusion/index.rst.txt
@@ -2004,7 +2004,7 @@ Package Contents
Create a literal expression.
-.. py:function:: read_avro(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, file_partition_cols: list[tuple[str, str]] | None = None,
file_extension: str = '.avro') -> datafusion.dataframe.DataFrame
+.. py:function:: read_avro(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, file_partition_cols: list[tuple[str, str | pyarrow.DataType]] |
None = None, file_extension: str = '.avro') -> datafusion.dataframe.DataFrame
Create a :py:class:`DataFrame` for reading Avro data source.
@@ -2020,7 +2020,7 @@ Package Contents
:returns: DataFrame representation of the read Avro file
-.. py:function:: read_csv(path: str | pathlib.Path | list[str] |
list[pathlib.Path], schema: pyarrow.Schema | None = None, has_header: bool =
True, delimiter: str = ',', schema_infer_max_records: int = 1000,
file_extension: str = '.csv', table_partition_cols: list[tuple[str, str]] |
None = None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
+.. py:function:: read_csv(path: str | pathlib.Path | list[str] |
list[pathlib.Path], schema: pyarrow.Schema | None = None, has_header: bool =
True, delimiter: str = ',', schema_infer_max_records: int = 1000,
file_extension: str = '.csv', table_partition_cols: list[tuple[str, str |
pyarrow.DataType]] | None = None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
Read a CSV data source.
@@ -2045,7 +2045,7 @@ Package Contents
:returns: DataFrame representation of the read CSV files
-.. py:function:: read_json(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, schema_infer_max_records: int = 1000, file_extension: str =
'.json', table_partition_cols: list[tuple[str, str]] | None = None,
file_compression_type: str | None = None) -> datafusion.dataframe.DataFrame
+.. py:function:: read_json(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, schema_infer_max_records: int = 1000, file_extension: str =
'.json', table_partition_cols: list[tuple[str, str | pyarrow.DataType]] | None
= None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
Read a line-delimited JSON data source.
@@ -2065,7 +2065,7 @@ Package Contents
:returns: DataFrame representation of the read JSON files.
-.. py:function:: read_parquet(path: str | pathlib.Path, table_partition_cols:
list[tuple[str, str]] | None = None, parquet_pruning: bool = True,
file_extension: str = '.parquet', skip_metadata: bool = True, schema:
pyarrow.Schema | None = None, file_sort_order: list[list[datafusion.expr.Expr]]
| None = None) -> datafusion.dataframe.DataFrame
+.. py:function:: read_parquet(path: str | pathlib.Path, table_partition_cols:
list[tuple[str, str | pyarrow.DataType]] | None = None, parquet_pruning: bool =
True, file_extension: str = '.parquet', skip_metadata: bool = True, schema:
pyarrow.Schema | None = None, file_sort_order: list[list[datafusion.expr.Expr]]
| None = None) -> datafusion.dataframe.DataFrame
Read a Parquet source into a :py:class:`~datafusion.dataframe.Dataframe`.
diff --git a/_sources/autoapi/datafusion/io/index.rst.txt
b/_sources/autoapi/datafusion/io/index.rst.txt
index 79ef20e5..bb80c1cd 100644
--- a/_sources/autoapi/datafusion/io/index.rst.txt
+++ b/_sources/autoapi/datafusion/io/index.rst.txt
@@ -23,7 +23,7 @@ Functions
Module Contents
---------------
-.. py:function:: read_avro(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, file_partition_cols: list[tuple[str, str]] | None = None,
file_extension: str = '.avro') -> datafusion.dataframe.DataFrame
+.. py:function:: read_avro(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, file_partition_cols: list[tuple[str, str | pyarrow.DataType]] |
None = None, file_extension: str = '.avro') -> datafusion.dataframe.DataFrame
Create a :py:class:`DataFrame` for reading Avro data source.
@@ -39,7 +39,7 @@ Module Contents
:returns: DataFrame representation of the read Avro file
-.. py:function:: read_csv(path: str | pathlib.Path | list[str] |
list[pathlib.Path], schema: pyarrow.Schema | None = None, has_header: bool =
True, delimiter: str = ',', schema_infer_max_records: int = 1000,
file_extension: str = '.csv', table_partition_cols: list[tuple[str, str]] |
None = None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
+.. py:function:: read_csv(path: str | pathlib.Path | list[str] |
list[pathlib.Path], schema: pyarrow.Schema | None = None, has_header: bool =
True, delimiter: str = ',', schema_infer_max_records: int = 1000,
file_extension: str = '.csv', table_partition_cols: list[tuple[str, str |
pyarrow.DataType]] | None = None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
Read a CSV data source.
@@ -64,7 +64,7 @@ Module Contents
:returns: DataFrame representation of the read CSV files
-.. py:function:: read_json(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, schema_infer_max_records: int = 1000, file_extension: str =
'.json', table_partition_cols: list[tuple[str, str]] | None = None,
file_compression_type: str | None = None) -> datafusion.dataframe.DataFrame
+.. py:function:: read_json(path: str | pathlib.Path, schema: pyarrow.Schema |
None = None, schema_infer_max_records: int = 1000, file_extension: str =
'.json', table_partition_cols: list[tuple[str, str | pyarrow.DataType]] | None
= None, file_compression_type: str | None = None) ->
datafusion.dataframe.DataFrame
Read a line-delimited JSON data source.
@@ -84,7 +84,7 @@ Module Contents
:returns: DataFrame representation of the read JSON files.
-.. py:function:: read_parquet(path: str | pathlib.Path, table_partition_cols:
list[tuple[str, str]] | None = None, parquet_pruning: bool = True,
file_extension: str = '.parquet', skip_metadata: bool = True, schema:
pyarrow.Schema | None = None, file_sort_order: list[list[datafusion.expr.Expr]]
| None = None) -> datafusion.dataframe.DataFrame
+.. py:function:: read_parquet(path: str | pathlib.Path, table_partition_cols:
list[tuple[str, str | pyarrow.DataType]] | None = None, parquet_pruning: bool =
True, file_extension: str = '.parquet', skip_metadata: bool = True, schema:
pyarrow.Schema | None = None, file_sort_order: list[list[datafusion.expr.Expr]]
| None = None) -> datafusion.dataframe.DataFrame
Read a Parquet source into a :py:class:`~datafusion.dataframe.Dataframe`.
diff --git a/autoapi/datafusion/context/index.html
b/autoapi/datafusion/context/index.html
index 82f1575a..c5754088 100644
--- a/autoapi/datafusion/context/index.html
+++ b/autoapi/datafusion/context/index.html
@@ -751,6 +751,15 @@
</code>
</a>
</li>
+ <li class="toc-h4 nav-item toc-entry">
+ <a class="reference internal nav-link"
href="#datafusion.context.SessionContext._convert_table_partition_cols">
+ <code class="docutils literal notranslate">
+ <span class="pre">
+ SessionContext._convert_table_partition_cols()
+ </span>
+ </code>
+ </a>
+ </li>
<li class="toc-h4 nav-item toc-entry">
<a class="reference internal nav-link"
href="#datafusion.context.SessionContext.catalog">
<code class="docutils literal notranslate">
@@ -1671,6 +1680,11 @@ a query against a CSV data source using the <code
class="xref py py-class docuti
<dd><p>Print a string representation of the Session Context.</p>
</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py"
id="datafusion.context.SessionContext._convert_table_partition_cols">
+<em class="property"><span class="pre">static</span><span class="w">
</span></em><span class="sig-name descname"><span
class="pre">_convert_table_partition_cols</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">table_partition_cols</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">list</span><span class="p"><span class="pre">[</span></span><span
class="pre">tuple</span [...]
+<dd></dd></dl>
+
<dl class="py method">
<dt class="sig sig-object py" id="datafusion.context.SessionContext.catalog">
<span class="sig-name descname"><span class="pre">catalog</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">name</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span></span><span class="w"> </span><span class="o"><span
class="pre">=</span></span><span class="w"> </span><span
class="default_value"><span class="pre">'datafusion'</span></span></em><span
class="sig- [...]
@@ -1847,7 +1861,7 @@ a struct array.</p>
<dl class="py method">
<dt class="sig sig-object py" id="datafusion.context.SessionContext.read_avro">
-<span class="sig-name descname"><span class="pre">read_avro</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span><span class="w"> </span><span class="p"><span
class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span
class="n"><span clas [...]
+<span class="sig-name descname"><span class="pre">read_avro</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span><span class="w"> </span><span class="p"><span
class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span
class="n"><span clas [...]
<dd><p>Create a <code class="xref py py-class docutils literal
notranslate"><span class="pre">DataFrame</span></code> for reading Avro data
source.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1866,7 +1880,7 @@ a struct array.</p>
<dl class="py method">
<dt class="sig sig-object py" id="datafusion.context.SessionContext.read_csv">
-<span class="sig-name descname"><span class="pre">read_csv</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span><span class="w"> </span><span class="p"><span
class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span
class="pre">|</sp [...]
+<span class="sig-name descname"><span class="pre">read_csv</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span><span class="w"> </span><span class="p"><span
class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span><span class="w"> </span><span class="p"><span
class="pre">|</sp [...]
<dd><p>Read a CSV data source.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1894,7 +1908,7 @@ selected for data input.</p></li>
<dl class="py method">
<dt class="sig sig-object py" id="datafusion.context.SessionContext.read_json">
-<span class="sig-name descname"><span class="pre">read_json</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span><span class="w"> </span><span class="p"><span
class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span
class="n"><span clas [...]
+<span class="sig-name descname"><span class="pre">read_json</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span><span class="w"> </span><span class="p"><span
class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span
class="n"><span clas [...]
<dd><p>Read a line-delimited JSON data source.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1917,7 +1931,7 @@ selected for data input.</p></li>
<dl class="py method">
<dt class="sig sig-object py"
id="datafusion.context.SessionContext.read_parquet">
-<span class="sig-name descname"><span
class="pre">read_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span
class="n"><span c [...]
+<span class="sig-name descname"><span
class="pre">read_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span
class="n"><span c [...]
<dd><p>Read a Parquet source into a <code class="xref py py-class docutils
literal notranslate"><span class="pre">Dataframe</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -1954,7 +1968,7 @@ file.</p></li>
<dl class="py method">
<dt class="sig sig-object py"
id="datafusion.context.SessionContext.register_avro">
-<span class="sig-name descname"><span
class="pre">register_avro</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">name</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span
class="n"><span class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pr [...]
+<span class="sig-name descname"><span
class="pre">register_avro</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">name</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span
class="n"><span class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pr [...]
<dd><p>Register an Avro file as a table.</p>
<p>The registered table can be referenced from SQL statement executed against
this context.</p>
@@ -2013,7 +2027,7 @@ selected for data input.</p></li>
<dl class="py method">
<dt class="sig sig-object py"
id="datafusion.context.SessionContext.register_json">
-<span class="sig-name descname"><span
class="pre">register_json</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">name</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span
class="n"><span class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pr [...]
+<span class="sig-name descname"><span
class="pre">register_json</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">name</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span
class="n"><span class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pr [...]
<dd><p>Register a JSON file as a table.</p>
<p>The registered table can be referenced from SQL statement executed
against this context.</p>
@@ -2036,7 +2050,7 @@ selected for data input.</p></li>
<dl class="py method">
<dt class="sig sig-object py"
id="datafusion.context.SessionContext.register_listing_table">
-<span class="sig-name descname"><span
class="pre">register_listing_table</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">name</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span [...]
+<span class="sig-name descname"><span
class="pre">register_listing_table</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">name</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span
class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span
class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span [...]
<dd><p>Register multiple files as a single table.</p>
<p>Registers a <a class="reference internal"
href="../catalog/index.html#datafusion.catalog.Table"
title="datafusion.catalog.Table"><code class="xref py py-class docutils literal
notranslate"><span class="pre">Table</span></code></a> that can assemble
multiple
files from locations in an <code class="xref py py-class docutils literal
notranslate"><span class="pre">ObjectStore</span></code>
@@ -2072,7 +2086,7 @@ instance.</p>
<dl class="py method">
<dt class="sig sig-object py"
id="datafusion.context.SessionContext.register_parquet">
-<span class="sig-name descname"><span
class="pre">register_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">name</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span
class="n"><span class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span class=
[...]
+<span class="sig-name descname"><span
class="pre">register_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">name</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span
class="n"><span class="pre">path</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><span class=
[...]
<dd><p>Register a Parquet file as a table.</p>
<p>The registered table can be referenced from SQL statement executed
against this context.</p>
diff --git a/autoapi/datafusion/index.html b/autoapi/datafusion/index.html
index 192b98a4..8c980466 100644
--- a/autoapi/datafusion/index.html
+++ b/autoapi/datafusion/index.html
@@ -4869,7 +4869,7 @@ max_width, max_height, enable_cell_expansion, etc.</p>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.read_avro">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_avro</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre [...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_avro</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre [...]
<dd><p>Create a <code class="xref py py-class docutils literal
notranslate"><span class="pre">DataFrame</span></code> for reading Avro data
source.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
@@ -4891,7 +4891,7 @@ using this function.</p>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.read_csv">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_csv</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre" [...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_csv</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre" [...]
<dd><p>Read a CSV data source.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
@@ -4922,7 +4922,7 @@ selected for data input.</p></li>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.read_json">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_json</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre [...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_json</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="pre [...]
<dd><p>Read a line-delimited JSON data source.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
@@ -4948,7 +4948,7 @@ selected for data input.</p></li>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.read_parquet">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class=" [...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.</span></span><span class="sig-name descname"><span
class="pre">read_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class=" [...]
<dd><p>Read a Parquet source into a <code class="xref py py-class docutils
literal notranslate"><span class="pre">Dataframe</span></code>.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
diff --git a/autoapi/datafusion/io/index.html b/autoapi/datafusion/io/index.html
index 6ed86dd6..04c00425 100644
--- a/autoapi/datafusion/io/index.html
+++ b/autoapi/datafusion/io/index.html
@@ -502,7 +502,7 @@
<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link
to this heading">ΒΆ</a></h2>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.io.read_avro">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_avro</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class=" [...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_avro</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class=" [...]
<dd><p>Create a <code class="xref py py-class docutils literal
notranslate"><span class="pre">DataFrame</span></code> for reading Avro data
source.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
@@ -524,7 +524,7 @@ using this function.</p>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.io.read_csv">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_csv</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="p [...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_csv</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class="p [...]
<dd><p>Read a CSV data source.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
@@ -555,7 +555,7 @@ selected for data input.</p></li>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.io.read_json">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_json</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class=" [...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_json</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span
class=" [...]
<dd><p>Read a line-delimited JSON data source.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
@@ -581,7 +581,7 @@ selected for data input.</p></li>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.io.read_parquet">
-<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span clas
[...]
+<span class="sig-prename descclassname"><span
class="pre">datafusion.io.</span></span><span class="sig-name descname"><span
class="pre">read_parquet</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">path</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><span class="pre">str</span><span class="w"> </span><span
class="p"><span class="pre">|</span></span><span class="w"> </span><span clas
[...]
<dd><p>Read a Parquet source into a <code class="xref py py-class docutils
literal notranslate"><span class="pre">Dataframe</span></code>.</p>
<p>This function will use the global context. Any functions or tables
registered
with another context may not be accessible when used with a DataFrame created
diff --git a/genindex.html b/genindex.html
index f7d2cf0b..86d186ef 100644
--- a/genindex.html
+++ b/genindex.html
@@ -702,6 +702,8 @@
<li><a
href="autoapi/datafusion/html_formatter/index.html#datafusion.html_formatter.DataFrameHtmlFormatter._build_table_container_start">_build_table_container_start()
(datafusion.html_formatter.DataFrameHtmlFormatter method)</a>
</li>
<li><a
href="autoapi/datafusion/html_formatter/index.html#datafusion.html_formatter.DataFrameHtmlFormatter._build_table_header">_build_table_header()
(datafusion.html_formatter.DataFrameHtmlFormatter method)</a>
+</li>
+ <li><a
href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext._convert_table_partition_cols">_convert_table_partition_cols()
(datafusion.context.SessionContext static method)</a>
</li>
<li><a
href="autoapi/datafusion/index.html#datafusion.TableFunction._create_table_udf">_create_table_udf()
(datafusion.TableFunction static method)</a>
diff --git a/objects.inv b/objects.inv
index 49c14d42..96312f0f 100644
Binary files a/objects.inv and b/objects.inv differ
diff --git a/searchindex.js b/searchindex.js
index 9547f1cd..cc3b6453 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"API Reference": [[1, null], [19, null]],
"Additional Resources": [[0, "additional-resources"]], "Aggregate Functions":
[[24, "aggregate-functions"], [31, "aggregate-functions"], [33,
"aggregate-functions"]], "Aggregation": [[24, null]], "Alternative Approach":
[[20, "alternative-approach"]], "Arrays": [[26, "arrays"]], "Arrow": [[38,
null]], "Attributes": [[5, "attributes"], [8, "attributes"], [13,
"attributes"], [18, "attributes"]], "Available Functions": [...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"API Reference": [[1, null], [19, null]],
"Additional Resources": [[0, "additional-resources"]], "Aggregate Functions":
[[24, "aggregate-functions"], [31, "aggregate-functions"], [33,
"aggregate-functions"]], "Aggregation": [[24, null]], "Alternative Approach":
[[20, "alternative-approach"]], "Arrays": [[26, "arrays"]], "Arrow": [[38,
null]], "Attributes": [[5, "attributes"], [8, "attributes"], [13,
"attributes"], [18, "attributes"]], "Available Functions": [...]
\ No newline at end of file
diff --git a/user-guide/common-operations/aggregations.html
b/user-guide/common-operations/aggregations.html
index d3931090..f82847d9 100644
--- a/user-guide/common-operations/aggregations.html
+++ b/user-guide/common-operations/aggregations.html
@@ -610,15 +610,15 @@ Pokemon set. Since there will be many entries of <code
class="docutils literal n
<span
class="o">+----------+--------------------------------------------------+</span>
<span class="o">|</span> <span class="n">Type</span> <span class="mi">1</span>
<span class="o">|</span> <span class="n">Type</span> <span
class="mi">2</span> <span class="n">List</span>
<span class="o">|</span>
<span
class="o">+----------+--------------------------------------------------+</span>
-<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Grass</span><span class="p">,</span> <span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Poison</span> <span
class="o">|</span> <span class="p">[,</span> <span class="n">Ground</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Steel</span><span class="p">,</span> <span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Grass</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">,</span> <span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Poison</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Ground</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Steel</span><span
class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Fairy</span> <span
class="o">|</span> <span class="p">[]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[,</span> <span class="n">Fairy</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Poison</span><span
class="p">]</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Dragon</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Flying</span><span
class="p">]</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="n">Fighting</span><span class="p">,</span>
<span class="n">Dark</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">,</span> <span class="p">,</span> <span
class="n">Ice</span><span class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Fairy</span><span class="p">,</span> <span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Psychic</span><span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Dragon</span><span class="p">,</span> <span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Ice</span><span class="p">,</span> <span
class="n">Fighting</span><span class="p">,</span> <span
class="n">Dark</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span class="p">,</span> <span
class="n">Psychic</span><span class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Ground</span> <span
class="o">|</span> <span class="p">[,</span> <span class="n">Rock</span><span
class="p">]</span> <span
class="o">|</span>
<span
class="o">+----------+--------------------------------------------------+</span>
<span class="n">Data</span> <span class="n">truncated</span><span
class="o">.</span>
@@ -634,14 +634,14 @@ entries entirely removed. The second is we can use the
<code class="docutils lit
<span
class="o">+----------+------------------------------------------------+</span>
<span class="o">|</span> <span class="n">Type</span> <span class="mi">1</span>
<span class="o">|</span> <span class="n">Type</span> <span
class="mi">2</span> <span class="n">List</span>
<span class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
-<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Poison</span><span class="p">,</span> <span
class="n">Grass</span><span class="p">]</span> <span
class="o">|</span>
+<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Grass</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">]</span> <span
class="o">|</span>
<span class="o">|</span> <span class="n">Poison</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Ground</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Steel</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Fairy</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="n">Poison</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Dragon</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Ice</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">,</span> <span
class="n">Dark</span><span class="p">,</span> <span
class="n">Fighting</span><span class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Dragon</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span
class="n">Dark</span><span class="p">,</span> <span
class="n">Fighting</span><span class="p">,</span> <span
class="n">Ice</span><span class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Rock</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Ground</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Water</span><span class="p">]</span> <span
class="o">|</span>
<span class="o">|</span> <span class="n">Ghost</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">]</span> <span
class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
@@ -653,15 +653,15 @@ entries entirely removed. The second is we can use the
<code class="docutils lit
<span
class="o">+----------+------------------------------------------------+</span>
<span class="o">|</span> <span class="n">Type</span> <span class="mi">1</span>
<span class="o">|</span> <span class="n">Type</span> <span
class="mi">2</span> <span class="n">List</span>
<span class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
-<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Grass</span><span class="p">]</span> <span
class="o">|</span>
+<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Grass</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">]</span> <span
class="o">|</span>
<span class="o">|</span> <span class="n">Poison</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Ground</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Steel</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Steel</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Fairy</span> <span
class="o">|</span> <span
class="o">|</span>
-<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fairy</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Fairy</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Dragon</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fighting</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span class="n">Ice</span><span
class="p">,</span> <span class="n">Dark</span><span class="p">]</span> <span
class="o">|</span>
+<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Dragon</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Ice</span><span
class="p">,</span> <span class="n">Poison</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">,</span> <span
class="n">Dark</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">,</span> <span
class="n">Fighting</span><span class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Ground</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Rock</span><span
class="p">]</span> <span
class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
<span class="n">Data</span> <span class="n">truncated</span><span
class="o">.</span>
diff --git a/user-guide/common-operations/basic-info.html
b/user-guide/common-operations/basic-info.html
index d4e4280b..fba489df 100644
--- a/user-guide/common-operations/basic-info.html
+++ b/user-guide/common-operations/basic-info.html
@@ -446,11 +446,11 @@
<span class="o">+-----+---------+--------+--------+</span>
<span class="o">|</span> <span class="n">nrs</span> <span class="o">|</span>
<span class="n">names</span> <span class="o">|</span> <span
class="n">random</span> <span class="o">|</span> <span class="n">groups</span>
<span class="o">|</span>
<span class="o">+-----+---------+--------+--------+</span>
-<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">648</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">554</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">3</span> <span class="o">|</span>
<span class="n">java</span> <span class="o">|</span> <span
class="mi">301</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">4</span> <span class="o">|</span>
<span class="n">haskell</span> <span class="o">|</span> <span
class="mi">875</span> <span class="o">|</span> <span class="n">C</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">5</span> <span class="o">|</span>
<span class="n">go</span> <span class="o">|</span> <span
class="mi">856</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">770</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">331</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">3</span> <span class="o">|</span>
<span class="n">java</span> <span class="o">|</span> <span
class="mi">16</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">4</span> <span class="o">|</span>
<span class="n">haskell</span> <span class="o">|</span> <span
class="mi">87</span> <span class="o">|</span> <span class="n">C</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">5</span> <span class="o">|</span>
<span class="n">go</span> <span class="o">|</span> <span
class="mi">264</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
<span class="o">+-----+---------+--------+--------+</span>
</pre></div>
</div>
@@ -461,8 +461,8 @@
<span class="o">+-----+--------+--------+--------+</span>
<span class="o">|</span> <span class="n">nrs</span> <span class="o">|</span>
<span class="n">names</span> <span class="o">|</span> <span
class="n">random</span> <span class="o">|</span> <span class="n">groups</span>
<span class="o">|</span>
<span class="o">+-----+--------+--------+--------+</span>
-<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">648</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">554</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">770</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">331</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
<span class="o">+-----+--------+--------+--------+</span>
</pre></div>
</div>
@@ -480,28 +480,28 @@ passing them to an Arrow table, and then converting them
to a pandas DataFrame.<
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="n">In</span> <span
class="p">[</span><span class="mi">8</span><span class="p">]:</span> <span
class="n">df</span><span class="o">.</span><span
class="n">to_pandas</span><span class="p">()</span>
<span class="n">Out</span><span class="p">[</span><span
class="mi">8</span><span class="p">]:</span>
<span class="n">nrs</span> <span class="n">names</span> <span
class="n">random</span> <span class="n">groups</span>
-<span class="mi">0</span> <span class="mi">1</span> <span
class="n">python</span> <span class="mi">648</span> <span
class="n">A</span>
-<span class="mi">1</span> <span class="mi">2</span> <span
class="n">ruby</span> <span class="mi">554</span> <span
class="n">A</span>
-<span class="mi">2</span> <span class="mi">3</span> <span
class="n">java</span> <span class="mi">301</span> <span
class="n">B</span>
-<span class="mi">3</span> <span class="mi">4</span> <span
class="n">haskell</span> <span class="mi">875</span> <span
class="n">C</span>
-<span class="mi">4</span> <span class="mi">5</span> <span
class="n">go</span> <span class="mi">856</span> <span
class="n">B</span>
+<span class="mi">0</span> <span class="mi">1</span> <span
class="n">python</span> <span class="mi">770</span> <span
class="n">A</span>
+<span class="mi">1</span> <span class="mi">2</span> <span
class="n">ruby</span> <span class="mi">331</span> <span
class="n">A</span>
+<span class="mi">2</span> <span class="mi">3</span> <span
class="n">java</span> <span class="mi">16</span> <span
class="n">B</span>
+<span class="mi">3</span> <span class="mi">4</span> <span
class="n">haskell</span> <span class="mi">87</span> <span
class="n">C</span>
+<span class="mi">4</span> <span class="mi">5</span> <span
class="n">go</span> <span class="mi">264</span> <span
class="n">B</span>
</pre></div>
</div>
<p><a class="reference internal"
href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.describe"
title="datafusion.dataframe.DataFrame.describe"><code class="xref py py-func
docutils literal notranslate"><span class="pre">describe()</span></code></a>
shows a quick statistic summary of your data:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="n">In</span> <span
class="p">[</span><span class="mi">9</span><span class="p">]:</span> <span
class="n">df</span><span class="o">.</span><span class="n">describe</span><span
class="p">()</span>
<span class="n">Out</span><span class="p">[</span><span
class="mi">9</span><span class="p">]:</span>
<span class="n">DataFrame</span><span class="p">()</span>
-<span
class="o">+------------+--------------------+-------+-------------------+--------+</span>
-<span class="o">|</span> <span class="n">describe</span> <span
class="o">|</span> <span class="n">nrs</span> <span
class="o">|</span> <span class="n">names</span> <span class="o">|</span> <span
class="n">random</span> <span class="o">|</span> <span
class="n">groups</span> <span class="o">|</span>
-<span
class="o">+------------+--------------------+-------+-------------------+--------+</span>
-<span class="o">|</span> <span class="n">count</span> <span
class="o">|</span> <span class="mf">5.0</span> <span
class="o">|</span> <span class="mi">5</span> <span class="o">|</span> <span
class="mf">5.0</span> <span class="o">|</span> <span
class="mi">5</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">null_count</span> <span
class="o">|</span> <span class="mf">0.0</span> <span
class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span
class="mf">0.0</span> <span class="o">|</span> <span
class="mi">0</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">mean</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">646.8</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">std</span> <span
class="o">|</span> <span class="mf">1.5811388300841898</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">236.6594599841722</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
-<span class="o">|</span> <span class="nb">min</span> <span
class="o">|</span> <span class="mf">1.0</span> <span
class="o">|</span> <span class="n">go</span> <span class="o">|</span> <span
class="mf">301.0</span> <span class="o">|</span> <span
class="n">A</span> <span class="o">|</span>
-<span class="o">|</span> <span class="nb">max</span> <span
class="o">|</span> <span class="mf">5.0</span> <span
class="o">|</span> <span class="n">ruby</span> <span class="o">|</span> <span
class="mf">875.0</span> <span class="o">|</span> <span
class="n">C</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">median</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">648.0</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
-<span
class="o">+------------+--------------------+-------+-------------------+--------+</span>
+<span
class="o">+------------+--------------------+-------+--------------------+--------+</span>
+<span class="o">|</span> <span class="n">describe</span> <span
class="o">|</span> <span class="n">nrs</span> <span
class="o">|</span> <span class="n">names</span> <span class="o">|</span> <span
class="n">random</span> <span class="o">|</span> <span
class="n">groups</span> <span class="o">|</span>
+<span
class="o">+------------+--------------------+-------+--------------------+--------+</span>
+<span class="o">|</span> <span class="n">count</span> <span
class="o">|</span> <span class="mf">5.0</span> <span
class="o">|</span> <span class="mi">5</span> <span class="o">|</span> <span
class="mf">5.0</span> <span class="o">|</span> <span
class="mi">5</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">null_count</span> <span
class="o">|</span> <span class="mf">0.0</span> <span
class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span
class="mf">0.0</span> <span class="o">|</span> <span
class="mi">0</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">mean</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">293.6</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">std</span> <span
class="o">|</span> <span class="mf">1.5811388300841898</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">295.37146104524044</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
+<span class="o">|</span> <span class="nb">min</span> <span
class="o">|</span> <span class="mf">1.0</span> <span
class="o">|</span> <span class="n">go</span> <span class="o">|</span> <span
class="mf">16.0</span> <span class="o">|</span> <span
class="n">A</span> <span class="o">|</span>
+<span class="o">|</span> <span class="nb">max</span> <span
class="o">|</span> <span class="mf">5.0</span> <span
class="o">|</span> <span class="n">ruby</span> <span class="o">|</span> <span
class="mf">770.0</span> <span class="o">|</span> <span
class="n">C</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">median</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">264.0</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
+<span
class="o">+------------+--------------------+-------+--------------------+--------+</span>
</pre></div>
</div>
</section>
diff --git a/user-guide/common-operations/functions.html
b/user-guide/common-operations/functions.html
index 6face2ac..4878545a 100644
--- a/user-guide/common-operations/functions.html
+++ b/user-guide/common-operations/functions.html
@@ -556,16 +556,16 @@ In here we will cover some of the more popular use cases.
If you want to view al
<span class="o">+--------------------------------+</span>
<span class="o">|</span> <span class="n">now</span><span class="p">()</span>
<span class="o">|</span>
<span class="o">+--------------------------------+</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">16</span><span class="n">T21</span><span class="p">:</span><span
class="mi">23</span><span class="p">:</span><span
class="mf">40.746364430</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2025</span><span
class="o">-</span><span class="mi">06</span><span class="o">-</span><span
class="mi">19</span><span class="n">T18</span><span class="p">:</span><span
class="mi">03</span><span class="p">:</span><span
class="mf">00.747687844</span><span class="n">Z</span> <span class="o">|</span>
<span class="o">+--------------------------------+</span>
<span class="n">Data</span> <span class="n">truncated</span><span
class="o">.</span>
</pre></div>
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscr...@datafusion.apache.org
For additional commands, e-mail: commits-h...@datafusion.apache.org
