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SheetJS 2024-03-26 03:33:37 -04:00
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8
docz/data/engines.xls
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@ -86,7 +86,7 @@
<Cell><Data ss:Type="String">Java</Data></Cell>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
@ -116,7 +116,7 @@
<Cell><Data ss:Type="String">Java</Data></Cell>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
@ -186,7 +186,7 @@
<Cell><Data ss:Type="String">Java</Data></Cell>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"/>
@ -267,7 +267,7 @@
<Cell><Data ss:Type="String">Python</Data></Cell>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>
<Cell ss:StyleID="s16"><Data ss:Type="String">✔</Data></Cell>
<Cell ss:StyleID="s16"/>

197
docz/docs/03-demos/01-math/21-pandas.md
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@ -42,6 +42,7 @@ This demo was tested in the following deployments:
|:-------------|:----------------|:-------|:-------|:-----------|
| `darwin-x64` | Duktape `2.7.0` | 2.2.1 | 3.12.2 | 2024-03-15 |
| `darwin-arm` | Duktape `2.7.0` | 2.0.3 | 3.11.7 | 2024-02-13 |
| `win10-x64` | Duktape `2.7.0` | 2.2.1 | 3.12.2 | 2024-03-25 |
| `linux-x64` | Duktape `2.7.0` | 1.5.3 | 3.11.3 | 2024-03-21 |
:::
@ -197,12 +198,29 @@ flowchart LR
This example will extract data from an Apple Numbers spreadsheet and generate a
DataFrame. The DataFrame will be exported to the binary XLSB spreadsheet format.
:::note pass
The Windows build requires Visual Studio with "Desktop development with C++".
Commands must be run in a "Native Tools Command Prompt" session.
:::
0) Install Pandas:
```bash
python3 -m pip install pandas
```
:::info pass
On macOS and Linux, the install command may require root access:
```bash
sudo python3 -m pip install pandas
```
:::
:::note pass
When `pip` is not installed, the command will fail:
@ -246,6 +264,9 @@ sudo python3 -m pip install pandas --break-system-packages
1) Build the Duktape shared library:
<Tabs groupId="triple">
<TabItem value="darwin-x64" label="MacOS">
```bash
curl -LO https://duktape.org/duktape-2.7.0.tar.xz
tar -xJf duktape-2.7.0.tar.xz
@ -254,18 +275,95 @@ make -f Makefile.sharedlibrary
cd ..
```
</TabItem>
<TabItem value="linux-x64" label="Linux">
```bash
curl -LO https://duktape.org/duktape-2.7.0.tar.xz
tar -xJf duktape-2.7.0.tar.xz
cd duktape-2.7.0
make -f Makefile.sharedlibrary
cd ..
```
</TabItem>
<TabItem value="win10-x64" label="Windows">
- Download and extract the source tarball. Commands must be run in WSL `bash`:
```bash
curl -LO https://duktape.org/duktape-2.7.0.tar.xz
tar -xJf duktape-2.7.0.tar.xz
```
(Run `bash`, then run the aforementioned commands, then run `exit` to exit WSL)
- Enter the source folder:
```bash
cd duktape-2.7.0
```
- Edit `src\duk_config.h` and add the highlighted lines to the end of the file:
```c title="src\duk_config.h (add highlighted lines)"
#endif /* DUK_CONFIG_H_INCLUDED */
// highlight-start
#define DUK_EXTERNAL_DECL extern __declspec(dllexport)
#define DUK_EXTERNAL __declspec(dllexport)
// highlight-end
```
- Build the Duktape DLL:
```cmd
cl /O2 /W3 /Isrc /LD /DDUK_SINGLE_FILE /DDUK_F_DLL_BUILD /DDUK_F_WINDOWS /DDUK_COMPILING_DUKTAPE src\\duktape.c
```
- Move up to the parent directory:
```bash
cd ..
```
</TabItem>
</Tabs>
2) Copy the shared library to the current folder. When the demo was last tested,
the shared library file name differed by platform:
| OS | name |
|:-------|:--------------------------|
| Darwin | `libduktape.207.20700.so` |
| Linux | `libduktape.so.207.20700` |
| OS | name |
|:--------|:--------------------------|
| macOS | `libduktape.207.20700.so` |
| Linux | `libduktape.so.207.20700` |
| Windows | `duktape.dll` |
<Tabs groupId="triple">
<TabItem value="darwin-x64" label="MacOS">
```bash
cp duktape-*/libduktape.* .
```
</TabItem>
<TabItem value="linux-x64" label="Linux">
```bash
cp duktape-*/libduktape.* .
```
</TabItem>
<TabItem value="win10-x64" label="Windows">
```cmd
copy duktape-2.7.0\duktape.dll .
```
</TabItem>
</Tabs>
3) Download the SheetJS Standalone script and move to the project directory:
<ul>
@ -319,6 +417,36 @@ The name of the library is `libduktape.so.207.20700`:
lib = "libduktape.so.207.20700"
```
</TabItem>
<TabItem value="win10-x64" label="Windows">
The name of the library is `duktape.dll`:
```python title="sheetjs.py (change highlighted line)"
# highlight-next-line
lib = ".\\duktape.dll"
```
In addition, the following changes must be made:
- `str_to_c` must be defined as follows:
```python title="sheetjs.py (replace str_to_c function)"
def str_to_c(s):
b = s
if type(b) == str: b = s.encode("latin1")
return [c_char_p(b), len(b)]
```
- `eval_file` must `open` with mode `rb`:
```python title="sheetjs.py (edit highlighted line)"
def eval_file(ctx, path):
# highlight-next-line
with open(path, "rb") as f:
code = f.read()
```
</TabItem>
</Tabs>
@ -385,6 +513,7 @@ This demo was tested in the following deployments:
|:-------------|:----------------|:--------|:-------|:-----------|
| `darwin-x64` | Duktape `2.7.0` | 0.20.15 | 3.12.2 | 2024-03-15 |
| `darwin-arm` | Duktape `2.7.0` | 0.20.7 | 3.11.7 | 2024-02-13 |
| `win10-x64` | Duktape `2.7.0` | 0.20.16 | 3.12.2 | 2024-03-25 |
| `linux-x64` | Duktape `2.7.0` | 0.20.16 | 3.11.3 | 2024-03-21 |
:::
@ -393,53 +522,59 @@ This demo was tested in the following deployments:
1) Edit `sheetjs.py`.
Near the top of the script, change the import from `pandas` to `polars`:
- Near the top of the script, change the import from `pandas` to `polars`:
```diff title="sheetjs.py (apply changes)"
-from pandas import read_csv
+from polars import read_csv
```python title="sheetjs.py (edit highlighted line)"
from io import StringIO
# highlight-next-line
from polars import read_csv
duk = CDLL(lib)
```
:::note pass
- Within the `export_df_to_wb` function, change the `df.to_json` line:
The red lines starting with `-` should be removed from the file and the green
lines starting with `+` should be added to the file. Black lines show the source
context and should not be changed.
:::
Within the `export_df_to_wb` function, change the `df.to_json` line:
```diff title="sheetjs.py (apply changes)"
def export_df_to_wb(ctx, df, path, sheet_name="Sheet1", book_type=None):
- json = df.to_json(orient="records")
+ json = df.write_json(row_oriented=True)
```python title="sheetjs.py (edit highlighted line)"
def export_df_to_wb(ctx, df, path, sheet_name="Sheet1", book_type=None):
# highlight-next-line
json = df.write_json(row_oriented=True)
```
2) Edit `SheetJSPandas.py`.
In the script, change `df.info()` to `df`:
- In the `process` function, change `df.info()` to `df`:
```diff title="SheetJSPandas.py (apply changes)"
def export_df_to_wb(ctx, df, path, sheet_name="Sheet1", book_type=None):
- print(df.info())
+ print(df)
```python title="SheetJSPandas.py (edit highlighted line)"
# Generate DataFrame from first worksheet
df = wb.get_df()
# highlight-next-line
print(df)
```
Change the export filename from `SheetJSPandas.xlsb` to `SheetJSPolars.xlsb`:
```diff
# Export DataFrame to XLSB
- sheetjs.write_df(df, "SheetJSPandas.xlsb", sheet_name="DataFrame")
+ sheetjs.write_df(df, "SheetJSPolars.xlsb", sheet_name="DataFrame")
```python title="SheetJSPandas.py (edit highlighted line)"
# Export DataFrame to XLSB
# highlight-next-line
sheetjs.write_df(df, "SheetJSPolars.xlsb", sheet_name="DataFrame")
```
3) Install Polars:
```bash
sudo python3 -m pip install polars
python3 -m pip install polars
```
:::info pass
On macOS and Linux, the install command may require root access:
```bash
sudo python3 -m pip install pandas
```
:::
:::caution pass
On Arch Linux-based platforms including the Steam Deck, the install may fail:

26
docz/docs/03-demos/02-frontend/19-bundler/14-rollup.md
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@ -32,10 +32,12 @@ which covers SheetJS library usage in more detail.
This demo was tested in the following environments:
| Version | Date |
|:--------|:-----------|
| `4.6.1` | 2023-12-04 |
| `4.1.4` | 2023-10-21 |
| Version | Date |
|:---------|:-----------|
| `4.13.0` | 2024-03-25 |
| `3.29.4` | 2024-03-25 |
| `2.79.1` | 2024-03-25 |
| `1.32.1` | 2024-03-25 |
:::
@ -61,6 +63,16 @@ RollupJS CLI tool
npx rollup index.js --plugin @rollup/plugin-node-resolve --file bundle.js --format iife
```
:::note pass
For RollupJS major version `1`, the plugin is `rollup-plugin-node-resolve`:
```bash
npx rollup@1.x index.js --plugin @rollup/plugin-node-resolve --file bundle.js --format iife
```
:::
## Complete Example
0) Initialize a new project:
@ -76,17 +88,17 @@ npm init -y
<Tabs groupId="pm">
<TabItem value="npm" label="npm">
<CodeBlock language="bash">{`\
npm i --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz rollup@4.6.1 @rollup/plugin-node-resolve`}
npm i --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz rollup@4.x @rollup/plugin-node-resolve`}
</CodeBlock>
</TabItem>
<TabItem value="pnpm" label="pnpm">
<CodeBlock language="bash">{`\
pnpm install --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz rollup@4.6.1 @rollup/plugin-node-resolve`}
pnpm install --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz rollup@4.x @rollup/plugin-node-resolve`}
</CodeBlock>
</TabItem>
<TabItem value="yarn" label="Yarn" default>
<CodeBlock language="bash">{`\
yarn add https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz rollup@4.6.1 @rollup/plugin-node-resolve`}
yarn add https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz rollup@4.x @rollup/plugin-node-resolve`}
</CodeBlock>
</TabItem>
</Tabs>

56
docz/docs/03-demos/23-data/26-redis.md
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@ -1,6 +1,6 @@
---
title: Redis Databases Wrapped in Sheets
sidebar_label: Redis
sidebar_label: Redis / KeyDB
description: Store complex datasets in Redis. Seamlessly save data to spreadsheets and read data from sheets using SheetJS. Enable Excel spreadsheet experts to update content.
pagination_prev: demos/cli/index
pagination_next: demos/local/index
@ -9,10 +9,21 @@ sidebar_custom_props:
---
import current from '/version.js';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
import CodeBlock from '@theme/CodeBlock';
[Redis](https://redis.io/) is a open source in-memory data store. It is capable
of storing sets, lists and other simple data structures.
:::warning pass
**Redis has relicensed away from open source!**
The original BSD-3-Clause applies to version `7.2.4`. This discussion applies to
KeyDB and other servers that support the "Redis serialization protocol" (RESP).
:::
[KeyDB](https://docs.keydb.dev/) is a Redis-compatible in-memory data store. It
is capable of storing sets, lists and other simple data structures.
[SheetJS](https://sheetjs.com) is a JavaScript library for reading and writing
data from spreadsheets.
@ -25,10 +36,11 @@ from XLSX files to a Redis database and to serialize a database to a workbook.
This demo was tested in the following environments:
| Redis | Connector Module | Date |
|:--------|--------------------|:----------:|
| `6.2.9` | `redis` (`4.6.11`) | 2023-12-04 |
| `7.2.3` | `redis` (`4.6.11`) | 2023-12-04 |
| Server | Connector Module | Date |
|:--------------|:-------------------|:----------:|
| KeyDB `6.3.4` | `redis` (`4.6.13`) | 2024-03-25 |
| Redis `6.2.9` | `redis` (`4.6.11`) | 2023-12-04 |
| Redis `7.2.3` | `redis` (`4.6.11`) | 2023-12-04 |
:::
@ -227,14 +239,32 @@ this demo also requires NodeJS version 18 or later.
:::
0) Set up and start a local Redis server.
0) Set up and start a local Redis-compatible server.
:::note pass
<details><summary><b>Redis-compatible servers</b> (click to show)</summary>
This demo was last tested on macOS. Redis was installed with:
This demo was last tested on macOS.
_KeyDB_
KeyDB was installed with:
```bash
brew install redis
brew install keydb@6.3.4
```
The following command started the server process:
```bash
keydb-server --protected-mode no
```
_Redis_
Redis was installed with:
```bash
brew install redis@7.2
```
The following command started the server process:
@ -243,7 +273,7 @@ The following command started the server process:
/usr/local/opt/redis/bin/redis-server /usr/local/etc/redis.conf
```
:::
</details>
1) Download the following scripts:
@ -258,7 +288,7 @@ curl -LO https://docs.sheetjs.com/nosql/SheetJSRedisTest.mjs
2) Install dependencies:
<CodeBlock language="bash">{`\
npm i --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz redis@4.6.10`}
npm i --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz redis@4.6.13`}
</CodeBlock>
3) Run the test script:

2
docz/docs/03-demos/27-local/03-storageapi.md
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@ -20,7 +20,7 @@ Each browser demo was tested in the following environments:
| Browser | Date |
|:------------|:-----------|
| Chrome 119 | 2023-11-30 |
| Chrome 122 | 2024-03-25 |
| Safari 17.3 | 2024-03-12 |
:::

2
docz/docs/03-demos/30-cloud/02-netsuite.md
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@ -26,7 +26,7 @@ This demo was verified by NetSuite consultants in the following deployments:
|:----------------|:---------------|:-----------|
| ScheduledScript | 2.1 | 2024-03-21 |
| Restlet | 2.1 | 2023-10-05 |
| Suitelet | 2.1 | 2024-01-26 |
| Suitelet | 2.1 | 2024-03-25 |
| MapReduceScript | 2.1 | 2023-12-07 |
:::

36
docz/docs/03-demos/42-engines/03-rhino.md
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@ -5,6 +5,8 @@ pagination_next: solutions/input
---
import current from '/version.js';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
import CodeBlock from '@theme/CodeBlock';
Rhino is an ES3+ engine in Java.
@ -28,6 +30,7 @@ This demo was tested in the following deployments:
| OpenJDK | Rhino | Date |
|:--------|:---------|:-----------|
| 21.0.1 | `1.7.14` | 2023-12-05 |
| 17.0.10 | `1.7.14` | 2024-03-25 |
| 1.8.0 | `1.7.14` | 2023-12-05 |
:::
@ -195,15 +198,42 @@ public class SheetJSRhino {
6) Assemble `SheetJS.jar` from the demo code:
<Tabs groupId="os">
<TabItem value="unix" label="Linux/MacOS">
```bash
javac -cp .:rhino.jar SheetJSRhino.java
javac -cp ".:rhino.jar" SheetJSRhino.java
jar -cf SheetJS.jar SheetJSRhino.class com/sheetjs/*.class xlsx.full.min.js
```
7) Test the program:
</TabItem>
<TabItem value="win" label="Windows">
```bash
java -cp .:SheetJS.jar:rhino.jar SheetJSRhino pres.xlsx
javac -cp ".;rhino.jar" SheetJSRhino.java
jar -cf SheetJS.jar SheetJSRhino.class com/sheetjs/*.class xlsx.full.min.js
```
</TabItem>
</Tabs>
7) Test the program:
<Tabs groupId="os">
<TabItem value="unix" label="Linux/MacOS">
```bash
java -cp ".:SheetJS.jar:rhino.jar" SheetJSRhino pres.xlsx
```
</TabItem>
<TabItem value="win" label="Windows">
```bash
java -cp ".;SheetJS.jar;rhino.jar" SheetJSRhino pres.xlsx
```
</TabItem>
</Tabs>
If successful, a CSV will be printed to console.

55
docz/docs/03-demos/42-engines/07-nashorn.md
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@ -110,7 +110,7 @@ This demo was tested in the following deployments:
| 20.0.2 | 15.4 standalone | 2024-03-23 |
| 19.0.2 | 15.4 standalone | 2024-03-23 |
| 18.0.2 | 15.4 standalone | 2024-03-23 |
| 17.0.10 | 15.4 standalone | 2024-03-23 |
| 17.0.10 | 15.4 standalone | 2024-03-25 |
| 16.0.1 | 15.4 standalone | 2024-03-23 |
| 15.0.10 | 15.4 standalone | 2024-03-23 |
| 14.0.2 | Built-in | 2024-03-23 |
@ -191,10 +191,25 @@ java SheetJSNashorn pres.xlsx
</TabItem>
<TabItem value="standalone" label="Java 15+">
Due to Java path inconsistencies, the command depends on the operating system:
<Tabs groupId="os">
<TabItem value="unix" label="Linux/MacOS">
```bash
java -cp .:asm-9.5.jar:asm-tree-9.5.jar:asm-commons-9.5.jar:asm-analysis-9.5.jar:asm-util-9.5.jar:nashorn-core-15.4.jar SheetJSNashorn pres.xlsx
java -cp ".:asm-9.5.jar:asm-tree-9.5.jar:asm-commons-9.5.jar:asm-analysis-9.5.jar:asm-util-9.5.jar:nashorn-core-15.4.jar" SheetJSNashorn pres.xlsx
```
</TabItem>
<TabItem value="win" label="Windows">
```bash
java -cp ".;asm-9.5.jar;asm-tree-9.5.jar;asm-commons-9.5.jar;asm-analysis-9.5.jar;asm-util-9.5.jar;nashorn-core-15.4.jar" SheetJSNashorn pres.xlsx
```
</TabItem>
</Tabs>
</TabItem>
</Tabs>
@ -221,18 +236,48 @@ cd sheethorn
<Tabs groupId="java">
<TabItem value="stdlib" label="Java 8 - 14">
Due to Java path inconsistencies, the command depends on the operating system:
<Tabs groupId="os">
<TabItem value="unix" label="Linux/MacOS">
```bash
java -cp .:SheetJSNashorn.jar SheetJSNashorn pres.xlsx
java -cp ".:SheetJSNashorn.jar" SheetJSNashorn pres.xlsx
```
</TabItem>
<TabItem value="standalone" label="Java 15+">
<TabItem value="win" label="Windows">
```bash
java -cp .:asm-9.5.jar:asm-tree-9.5.jar:asm-commons-9.5.jar:asm-analysis-9.5.jar:asm-util-9.5.jar:nashorn-core-15.4.jar:SheetJSNashorn.jar SheetJSNashorn pres.xlsx
java -cp ".;SheetJSNashorn.jar" SheetJSNashorn pres.xlsx
```
</TabItem>
</Tabs>
</TabItem>
<TabItem value="standalone" label="Java 15+">
Due to Java path inconsistencies, the command depends on the operating system:
<Tabs groupId="os">
<TabItem value="unix" label="Linux/MacOS">
```bash
java -cp ".:asm-9.5.jar:asm-tree-9.5.jar:asm-commons-9.5.jar:asm-analysis-9.5.jar:asm-util-9.5.jar:nashorn-core-15.4.jar:SheetJSNashorn.jar" SheetJSNashorn pres.xlsx
```
</TabItem>
<TabItem value="win" label="Windows">
```bash
java -cp ".;asm-9.5.jar;asm-tree-9.5.jar;asm-commons-9.5.jar;asm-analysis-9.5.jar;asm-util-9.5.jar;nashorn-core-15.4.jar;SheetJSNashorn.jar" SheetJSNashorn pres.xlsx
```
</TabItem>
</Tabs>
</TabItem>
</Tabs>
This should print the same CSV rows from Step 4.

32
docz/docs/03-demos/42-engines/24-graaljs.md
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@ -6,6 +6,8 @@ pagination_next: solutions/input
---
import current from '/version.js';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
import CodeBlock from '@theme/CodeBlock';
[GraalJS](https://www.graalvm.org/latest/reference-manual/js/) is a JS engine
@ -54,6 +56,7 @@ This demo was tested in the following deployments:
|:--------|:--------|:-----------|
| 22 | 24.0.0 | 2024-03-23 |
| 21.0.2 | 24.0.0 | 2024-03-23 |
| 17.0.10 | 24.0.0 | 2024-03-25 |
:::
@ -106,10 +109,23 @@ CSV rows from the first worksheet.
4) Run the command directly:
<Tabs groupId="os">
<TabItem value="unix" label="Linux/MacOS">
```bash
java -cp .:js-scriptengine-24.0.0.jar:js-language-24.0.0.jar:polyglot-24.0.0.jar:collections-24.0.0.jar:truffle-api-24.0.0.jar:nativeimage-24.0.0.jar:icu4j-24.0.0.jar:regex-24.0.0.jar -Dpolyglot.js.nashorn-compat=true SheetJSNashorn pres.xlsx
java -cp ".:js-scriptengine-24.0.0.jar:js-language-24.0.0.jar:polyglot-24.0.0.jar:collections-24.0.0.jar:truffle-api-24.0.0.jar:nativeimage-24.0.0.jar:icu4j-24.0.0.jar:regex-24.0.0.jar" -Dpolyglot.js.nashorn-compat=true SheetJSNashorn pres.xlsx
```
</TabItem>
<TabItem value="win" label="Windows">
```bash
java -cp ".;js-scriptengine-24.0.0.jar;js-language-24.0.0.jar;polyglot-24.0.0.jar;collections-24.0.0.jar;truffle-api-24.0.0.jar;nativeimage-24.0.0.jar;icu4j-24.0.0.jar;regex-24.0.0.jar" -D"polyglot.js.nashorn-compat=true" SheetJSNashorn pres.xlsx
```
</TabItem>
</Tabs>
If successful, CSV rows from the first worksheet will be displayed.
### Java Archive Test
@ -130,10 +146,22 @@ cd sheethorn
7) Run the program using the Java Archive:
<Tabs groupId="os">
<TabItem value="unix" label="Linux/MacOS">
```bash
java -cp .:js-scriptengine-24.0.0.jar:js-language-24.0.0.jar:polyglot-24.0.0.jar:collections-24.0.0.jar:truffle-api-24.0.0.jar:nativeimage-24.0.0.jar:icu4j-24.0.0.jar:regex-24.0.0.jar:SheetJSNashorn.jar -Dpolyglot.js.nashorn-compat=true SheetJSNashorn pres.xlsx
java -cp ".:js-scriptengine-24.0.0.jar:js-language-24.0.0.jar:polyglot-24.0.0.jar:collections-24.0.0.jar:truffle-api-24.0.0.jar:nativeimage-24.0.0.jar:icu4j-24.0.0.jar:regex-24.0.0.jar:SheetJSNashorn.jar" -Dpolyglot.js.nashorn-compat=true SheetJSNashorn pres.xlsx
```
</TabItem>
<TabItem value="win" label="Windows">
```bash
java -cp ".;js-scriptengine-24.0.0.jar;js-language-24.0.0.jar;polyglot-24.0.0.jar;collections-24.0.0.jar;truffle-api-24.0.0.jar;nativeimage-24.0.0.jar;icu4j-24.0.0.jar;regex-24.0.0.jar;SheetJSNashorn.jar" -D"polyglot.js.nashorn-compat=true" SheetJSNashorn pres.xlsx
```
</TabItem>
</Tabs>
This should print the same CSV rows from Step 4.