Merge pull request #2964 from szarnyasg/nits-20240603c

Remove superfluous newlines
duckdb · Jun 3, 2024 · 7c4ae89 · 7c4ae89
2 parents 962d740 + a371df1
commit 7c4ae89
Show file tree

Hide file tree

Showing 15 changed files with 3 additions and 19 deletions.
diff --git a/docs/api/c/query.md b/docs/api/c/query.md
@@ -96,7 +96,6 @@ for (idx_t row = 0; row < row_count; row++) {
 > As the code directly accesses an internal array, there is no type-checking.
 > Accessing a `DUCKDB_TYPE_INTEGER` column as if it was a `DUCKDB_TYPE_BIGINT` column will provide unpredictable results!
 
-
 ## API Reference
 
 <!-- This section is generated by scripts/generate_config_docs.py -->

diff --git a/docs/api/cpp.md b/docs/api/cpp.md
@@ -19,7 +19,6 @@ To use DuckDB, you must first initialize a `DuckDB` instance using its construct
 
 With the `DuckDB` instance, you can create one or many `Connection` instances using the `Connection()` constructor. While connections should be thread-safe, they will be locked during querying. It is therefore recommended that each thread uses its own connection if you are in a multithreaded environment.
 
-
 ```cpp
 DuckDB db(nullptr);
 Connection con(db);
@@ -204,7 +203,6 @@ There are different vector types to handle in a Vectorized UDF:
 - StructVector;
 - SequenceVector.
 
-
 The general API of the `CreateVectorizedFunction()` method is as follows:
 
 **1.**

diff --git a/docs/api/odbc/linux.md b/docs/api/odbc/linux.md
@@ -3,7 +3,6 @@ layout: docu
 title: ODBC API on Linux
 ---
 
-
 ## Driver Manager
 
 A driver manager is required to manage communication between applications and the ODBC driver.

diff --git a/docs/api/python/relational_api.md b/docs/api/python/relational_api.md
@@ -293,7 +293,6 @@ r1.union(r2).show()
 └───────┘
 ```
 
-
 ## Result Output
 
 The result of relations can be converted to various types of Python structures, see the [result conversion page](result_conversion) for more information.

diff --git a/docs/api/wasm/data_ingestion.md b/docs/api/wasm/data_ingestion.md
@@ -171,7 +171,6 @@ await c.query(`
 ]
 ```
 
-
 ### Insert Statement
 
 ```ts

diff --git a/docs/data/multiple_files/combining_schemas.md b/docs/data/multiple_files/combining_schemas.md
@@ -91,5 +91,4 @@ SELECT * FROM read_csv(['flights3.csv', 'flights4.csv'], union_by_name = true);
 | 1988-01-02 | New York, NY   | Los Angeles, CA | NULL          |
 | 1988-01-03 | New York, NY   | Los Angeles, CA | AA            |
 
-
 This is equivalent to the SQL construct [`UNION ALL BY NAME`](../../sql/query_syntax/setops#union-all-by-name).
diff --git a/docs/extensions/mysql.md b/docs/extensions/mysql.md
@@ -33,7 +33,6 @@ USE mysqldb;
 
 The connection string determines the parameters for how to connect to MySQL as a set of `key=value` pairs. Any options not provided are replaced by their default values, as per the table below. Connection information can also be specified with [environment variables](https://dev.mysql.com/doc/refman/8.3/en/environment-variables.html). If no option is provided explicitly, the MySQL extension tries to read it from an environment variable.
 
-
 <div class="narrow_table"></div>
 
 |  Setting   |   Default    | Environment variable |

diff --git a/docs/extensions/versioning_of_extensions.md b/docs/extensions/versioning_of_extensions.md
@@ -10,16 +10,17 @@ in the extension they have installed, and by developers to understand bug report
 
 **Extensions whose source lives in DuckDB's main repository** (in-tree extensions) are tagged with the short git hash of the repository. 
 For example, the parquet extension is built into DuckDB version `v0.10.3` (which has commit `70fd6a8a24`):
+
 ```sql
 SELECT extension_name, extension_version, install_mode FROM duckdb_extensions() WHERE extension_name='parquet';
 ```
+
 <div class="narrow_table"></div>
 
 | extension_name    | extension_version | install_mode         |
 |:------------------|:------------------|:---------------------|
 | parquet           | 70fd6a8a24        | STATICALLY_LINKED    |
 
-
 **Extensions whose source lives in a separate repository** (out-of-tree extensions) have their own version. This version is **either** 
 the short git hash of the separate repository, **or** the git version tag in [Semantic Versioning](https://semver.org/) format.
 For example, in DuckDB version `v0.10.3`, the azure extension could be versioned as follows:

diff --git a/docs/extensions/working_with_extensions.md b/docs/extensions/working_with_extensions.md
@@ -168,7 +168,6 @@ For example:
 http://extensions.duckdb.org/v{{ site.currentduckdbversion }}/windows_amd64/json.duckdb_extension.gz
 ```
 
-
 ## Loading and Installing an Extension from Explicit Paths
 
 ### Installing Extensions from an Explicit Path

diff --git a/docs/guides/database_integration/postgres.md b/docs/guides/database_integration/postgres.md
@@ -34,7 +34,6 @@ The first parameter to the `postgres_scan` function is the [PostgreSQL connectio
 
 <div class="narrow_table"></div>
 
-
 |    Name    |             Description              |    Default     |
 |------------|--------------------------------------|----------------|
 | `host`     | Name of host to connect to           | `localhost`    |

diff --git a/docs/guides/python/jupyter.md b/docs/guides/python/jupyter.md
@@ -178,15 +178,12 @@ In this case, the name of the table is the URL of the remotely stored Parquet fi
 %sqlplot boxplot --table https://d37ci6vzurychx.cloudfront.net/trip-data/yellow_tripdata_2021-01.parquet --column trip_distance
 ```
 
-
 ![Boxplot of the trip_distance column](/images/trip-distance-boxplot.png)
 
-
 Now, create a query that filters by the 90th percentile.
 Note the use of the `--save`, and `--no-execute` functions.
 This tells JupySQL to store the query, but skips execution. It will be referenced in the next plotting call.
 
-
 ```python
 %%sql --save short_trips --no-execute
 SELECT *

diff --git a/docs/index.md b/docs/index.md
@@ -7,7 +7,6 @@ Welcome to the DuckDB Documentation!
 
 Feel free to grab a <a href="{{ site.baseurl }}/duckdb-docs.pdf">PDF copy</a> of the documentation for offline reference.
 
-
 <h1>Sitemap</h1>
 
 <div id="docusitemaphere"></div>
diff --git a/docs/sql/aggregates.md b/docs/sql/aggregates.md
@@ -383,7 +383,6 @@ The table below shows the available statistical aggregate functions.
 | [`var_pop(x)`](#var_popx) | Returns the population variance. |
 | [`var_samp(x)`](#var_sampx) | Returns the sample variance of all input values. |
 
-
 ### `corr(y, x)`
 
 <div class="nostroke_table"></div>

diff --git a/docs/sql/query_syntax/orderby.md b/docs/sql/query_syntax/orderby.md
@@ -77,7 +77,6 @@ FROM addresses
 ORDER BY city DESC NULLS LAST;
 ```
 
-
 Order by city and then by zip code, both using the default orderings:
 
 ```sql

diff --git a/docs/sql/statements/update.md b/docs/sql/statements/update.md
@@ -55,15 +55,14 @@ FROM original;
 | 1   | original value   |
 | 2   | original value 2 |
 
-
 ```sql
 UPDATE original
     SET value = new.value
     FROM new
     WHERE original.key = new.key;
 ```
 
-OR:
+Or:
 
 ```sql
 UPDATE original