docs(blog): add this week in databend 87 (#10894)

* docs(blog): add this week in databend 87

Signed-off-by: Chojan Shang <[email protected]>

* docs(blog): add share endpoint ddl to highlights

Signed-off-by: Chojan Shang <[email protected]>

* docs(weekly): update as eric's comments

Signed-off-by: Chojan Shang <[email protected]>

---------

Signed-off-by: Chojan Shang <[email protected]>

Author: PsiACE

website/blog/2023-04-01-databend-weekly-87.md

@@ -0,0 +1,181 @@
+---
+title: "This Week in Databend #87"
+date: 2023-04-01
+slug: 2023-04-01-databend-weekly
+tags: [databend, weekly]
+description: "Stay up to date with the latest weekly developments on Databend!"
+contributors:
+  - name: andylokandy
+  - name: ariesdevil
+  - name: b41sh
+  - name: BohuTANG
+  - name: dantengsky
+  - name: Dousir9
+  - name: drmingdrmer
+  - name: everpcpc
+  - name: jun0315
+  - name: leiysky
+  - name: lichuang
+  - name: PsiACE
+  - name: RinChanNOWWW
+  - name: rkmdCodes
+  - name: SkyFan2002
+  - name: soyeric128
+  - name: sundy-li
+  - name: TCeason
+  - name: Xuanwo
+  - name: xudong963
+  - name: youngsofun
+  - name: zhang2014
+  - name: zhyass
+authors:
+  - name: PsiACE
+    url: https://github.com/psiace
+    image_url: https://github.com/psiace.png
+---
+
+[Databend](https://github.com/datafuselabs/databend) is a modern cloud data warehouse, serving your massive-scale analytics needs at low cost and complexity. Open source alternative to Snowflake. Also available in the cloud: <https://app.databend.com> .
+
+## What's On In Databend
+
+Stay connected with the latest news about Databend.
+
+### Window Function
+
+Aggregate window functions can operate on a group of rows and return a single value for each row in the underlying query. The `OVER` clause specifies how to partition the rows in the result set. When used with `GROUP BY`, aggregate window functions do not collapse rows but instead return all rows in the result set.
+
+```sql
+-- use aggrerate window function
+SELECT date, AVG(amount) over (partition by date)
+FROM BookSold
+
+June 21|544.0
+June 21|544.0
+June 22|454.5
+June 22|454.5
+June 23|643.0
+June 23|643.0
+```
+
+Databend supports all aggregate functions as aggregate window functions.
+
+- [Doc | (draft) Aggregate Window Functions](https://databend.rs/doc/sql-functions/window-functions/aggregate-window-functions)
+- [PR #10700 | feat(window): initial impl window function](https://github.com/datafuselabs/databend/pull/10700).
+
+### Suggest Function Name on Typos
+
+Databend has added an intelligent feature that automatically provides the closest matching item when you enter an incorrect function name.
+
+```sql
+#> select base64(1);
+ERROR 1105 (HY000) at line 1: Code: 1008, displayText = error:
+  --> SQL:1:8
+  |
+1 | select base64(1)
+  |        ^^^^^^^^^ no function matches the given name: 'base64', do you mean 'to_base64'?
+```
+
+- [PR | feat(planner): suggest function name on typo](https://github.com/datafuselabs/databend/pull/10759)
+
+## Code Corner
+
+Discover some fascinating code snippets or projects that showcase our work or learning journey.
+
+### Dump Running Async Task Stack
+
+Databend now supports dumping the running async task stacks. Simply visit `http://<admin_api_address>/debug/async_tasks/dump` to capture it in your browser.
+
+![Dump Running Async Task Stack](https://user-images.githubusercontent.com/8087042/228602725-a0440e39-3a65-4939-8826-3b92d381cb39.png)
+
+Calling the `async_backtrace::taskdump_tree` function can obtain information about the asynchronous task tree (collected by `#[async_backtrace::framed]`).
+
+```rust
+    let tree =
+        async_backtrace::taskdump_tree(req.map(|x| x.wait_for_running_tasks).unwrap_or(false));
+```
+
+Tasks are divided into regular tasks and polling tasks (marked with `[POLLING]`). Record the stack information for each task, and output it to a string sorted by stack depth.
+
+```rust
+    for mut tasks in [tasks, polling_tasks] {
+        tasks.sort_by(|l, r| Ord::cmp(&l.stack_frames.len(), &r.stack_frames.len()));
+
+        for item in tasks.into_iter().rev() {
+            for frame in item.stack_frames {
+                writeln!(output, "{}", frame).unwrap();
+            }
+
+            writeln!(output).unwrap();
+        }
+    }
+```
+
+To learn more about how it works, refer to the following link:
+
+- [PR | feat(query): try support dump running async task stack](https://github.com/datafuselabs/databend/pull/10830)
+
+### New Way to Integrate with Jupyter Notebook
+
+As described in [Doc | Visualization Databend Data in Jupyter Notebook](https://databend.rs/doc/integrations/gui-tool/jupyter), we can use Jupyter Notebook to explore data in Databend.
+
+![](https://datafuse-1253727613.cos.ap-hongkong.myqcloud.com/integration/integration-jupyter-databend.png)
+
+However, through the trick of magic, [ipython-sql](https://github.com/catherinedevlin/ipython-sql) provides another interesting way to make SQL queries look like they are running in SQL cells and maintain seamless integration with Python.
+
+**Install Dependencies**
+
+```bash
+pip install ipython-sql databend-sqlalchemy
+```
+
+**Work with Jupyter Notebook**
+
+```sql
+In [1]: %load_ext sql
+
+In [2]: %%sql databend://{username}:{password}@{host_port_name}/{database_name}?secure=false
+   ...: SHOW DATABASES;
+
+In [3]: result = %%sql SELECT * FROM numbers(100);
+
+In [4]: %matplotlib inline
+   ...: df = result.DataFrame()
+   ...: df.plot()
+```
+
+## Highlights
+
+Here are some noteworthy items recorded here, perhaps you can find something that interests you.
+
+- *[Connecting to Databend with DBeaver](https://databend.rs/blog/dbeaver)*, either by selecting the pre-configured MySQL driver or adding the Databend JDBC driver.
+- Databend provides integration with Redash to help you gain better insights into your data. *[Doc | Integrations - Redash](https://databend.rs/doc/integrations/gui-tool/redash)*
+- Master how to display information of columns in a given table. *[Doc | SHOW COLUMNS](https://databend.rs/doc/sql-commands/show/show-full-columns)*
+- Databend now supports `generate_series` and `range` table functions.
+- Databend now supports the `ai_embedding_vector` function, which returns a 1536-dimensional f32 vectors generated by the OpenAI Embeddings API.
+- Databend added support for `[CREATE | DROP | SHOW] SHARE ENDPOINT` DDL.
+
+## What's Up Next
+
+We're always open to cutting-edge technologies and innovative ideas. You're more than welcome to join the community and bring them to Databend.
+
+### Collect Metrics from Sled
+
+[sled](https://github.com/spacejam/sled) is an embedded database. It has a metrics feature that exposed some metrics.
+
+Databend Meta Service uses [sled](https://github.com/datafuse-extras/sled) as the underlying Key-Value storage. We expect to obtain more metrics about sled in order to further improve observability and help with optimization.
+
+[Issue #7233 | make use of sled metrics feature for collect sled metrics](https://github.com/datafuselabs/databend/issues/7233)
+
+Please let us know if you're interested in contributing to this issue, or pick up a good first issue at <https://link.databend.rs/i-m-feeling-lucky> to get started.
+
+## New Contributors
+
+We always open arms to everyone and can't wait to see how you'll help our community grow and thrive.
+
+- [@rkmdCodes](https://github.com/rkmdCodes) made their first contribution in [#10269](https://github.com/datafuselabs/databend/pull/10269). This pull request improves the error string and makes the prompt clearer.
+
+## Changelog
+
+You can check the changelog of Databend Nightly for details about our latest developments.
+
+**Full Changelog**: <https://github.com/datafuselabs/databend/compare/v1.0.33-nightly...v1.0.46-nightly>