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mirror of https://github.com/lana-k/sqliteviz.git synced 2025-12-06 10:08:52 +08:00

173 Commits

Author SHA1 Message Date
lana-k
521662b271 minor changes 2025-11-02 13:45:23 +01:00
saaj
4a47e4ff0f Proofread 2025-11-02 12:54:18 +01:00
lana-k
86cd55ca9c Update How-to-get-result-set-suitable-for-graph-visualisation.md 2025-11-01 20:46:51 +01:00
lana-k
0da63acd60 Update Graph.md 2025-11-01 20:39:42 +01:00
lana-k
bf1bfb849c Update Graph.md 2025-11-01 20:38:50 +01:00
lana-k
83410560b3 Update How-to-get-result-set-suitable-for-graph-visualisation.md 2025-11-01 20:32:57 +01:00
lana-k
831364181d Add files via upload 2025-11-01 20:30:30 +01:00
lana-k
5015a9bed7 Update How-to-get-result-set-suitable-for-graph-visualisation.md 2025-11-01 20:29:50 +01:00
lana-k
07409a0e20 Update How-to-get-result-set-suitable-for-graph-visualisation.md 2025-11-01 20:10:28 +01:00
lana-k
ae39f9e66e Update Graph.md 2025-11-01 20:08:33 +01:00
lana-k
794c8dd491 Update How-to-get-result-set-suitable-for-graph-visualisation.md 2025-11-01 20:08:13 +01:00
lana-k
d6d563f039 Update Graph.md 2025-11-01 20:02:49 +01:00
lana-k
1bc46f3664 Update and rename How-to-get-result-set-suiltable-for-graph-visualisation.md to How-to-get-result-set-suitable-for-graph-visualisation.md 2025-11-01 20:02:22 +01:00
lana-k
ab623f566b Create How-to-get-result-set-suiltable-for-graph-visualisation.md 2025-11-01 20:01:12 +01:00
lana-k
5a375bc39f Update Graph.md 2025-11-01 20:00:19 +01:00
lana-k
ad3ff74b09 Update Graph.md 2025-10-31 22:53:14 +01:00
lana-k
c8c57e145e Add files via upload 2025-10-31 22:49:10 +01:00
lana-k
888b57e855 Update Graph.md 2025-10-31 22:35:53 +01:00
lana-k
3d5c21f6a2 Update Graph.md 2025-10-31 11:32:33 +01:00
lana-k
7e11ab810d Update Graph.md 2025-10-30 23:11:09 +01:00
lana-k
7656d7d263 Add files via upload 2025-10-30 20:34:51 +01:00
lana-k
f6bafce6aa Update Graph.md 2025-10-30 20:26:19 +01:00
lana-k
1b1fc24926 Update Graph.md 2025-10-30 20:25:43 +01:00
lana-k
77dcfd3691 Update Graph.md 2025-10-30 20:25:19 +01:00
lana-k
fff6ae4ec8 Create Graph.md 2025-10-30 17:37:04 +01:00
lana-k
4c5148c7e0 Update sidebar.json 2025-10-30 17:34:55 +01:00
lana-k
f1c1f7bdf3 Update index.md 2025-10-30 17:34:19 +01:00
lana-k
9a9d51fc72 Update Home.md 2025-10-30 17:33:00 +01:00
lana-k
7a6703648d Update Basic-usage.md 2025-10-30 17:30:36 +01:00
lana-k
053a7a4614 Add new screenshots 2025-10-30 17:25:20 +01:00
lana-k
22120fcff5 Update Home.md 2024-09-17 11:52:20 +02:00
lana-k
c35eaf2c58 Update index.md 2024-09-17 11:41:46 +02:00
lana-k
3e2809655c Update Multiple-CSV-file-import.md 2024-09-17 11:40:08 +02:00
lana-k
783613f55f Update Basic-usage.md 2024-09-17 11:29:37 +02:00
lana-k
001f400142 update home page, fix links #100 2023-06-10 19:07:48 +02:00
lana-k
932a8b20a1 Docs: Loading remote database and inquiries #109 2023-06-10 18:42:06 +02:00
lana-k
140eda15c3 Merge branch 'docs' of github.com:lana-k/sqliteviz into docs 2023-06-09 00:15:58 +02:00
lana-k
1bdc528dff Broken links in documentation #100 2023-06-09 00:15:24 +02:00
lana-k
edcf104b1a Update Installation.md 2022-07-10 22:35:53 +02:00
lana-k
0a18dca5bd Update How-to-migrate-to-sqliteviz-dot-com.md 2022-07-10 18:43:58 +02:00
lana-k
d249e0ac02 Update How-to-migrate-to-sqliteviz-dot-com.md 2022-07-10 18:42:41 +02:00
lana-k
5c53d24ef7 Update How-to-migrate-to-sqliteviz-dot-com.md 2022-07-10 16:54:23 +02:00
lana-k
7660689c27 fix typo 2022-07-01 17:37:28 +02:00
lana-k
092a77a544 rename 2022-07-01 17:34:38 +02:00
lana-k
a268941f01 about migration 2022-07-01 17:27:09 +02:00
lana-k
17514249e7 fix image 2022-07-01 17:04:03 +02:00
lana-k
f574ead7ea Update index.md 2022-07-01 16:49:02 +02:00
lana-k
9de01dbe2e sidebar settings 2022-01-07 18:46:18 +01:00
lana-k
2397ea6fb3 add index 2022-01-07 12:47:12 +01:00
lana-k
27bb23ac3d Add headers; fix images and links 2022-01-06 22:34:07 +01:00
lana-k
0698522fa5 fix link 2022-01-06 22:16:05 +01:00
lana-k
73849ee820 remove versions 2022-01-06 22:04:25 +01:00
lana-k
7dde645fbc fix images in Basic usage 2022-01-06 21:38:29 +01:00
lana-k
b273d7677d add docs 2022-01-06 21:32:52 +01:00
lana-k
f9561b8678 clear branch 2022-01-06 21:29:46 +01:00
lana-k
310a939109 #89 add tests 2021-12-24 16:13:42 +01:00
lana-k
bb9ba08902 #89 remove head and body 2021-12-22 20:42:53 +01:00
lana-k
c7c727ff78 fix lint 2021-12-21 22:15:21 +01:00
lana-k
8669a6a9e5 #89 export to html plolty charts and pivots 2021-12-21 22:13:02 +01:00
lana-k
c1cc5bb95e getHtml for chart #89 2021-12-20 22:31:08 +01:00
lana-k
9c55e76a41 update version 2021-12-19 16:00:11 +01:00
lana-k
70a9edf57e fix lint 2021-12-19 15:57:30 +01:00
lana-k
b2c2344951 update version 2021-12-19 15:38:17 +01:00
lana-k
cbec91e78a Merge branch 'master' of github.com:lana-k/sqliteviz 2021-12-19 15:37:01 +01:00
lana-k
816b0e6218 show plotly warnings and errors #55 2021-12-19 15:36:46 +01:00
saaj
4ed93bbea7 Two more extensions and improved extension documentation (#86) 2021-09-10 20:11:37 +02:00
lana-k
3e3a70430f fix lint 2021-09-03 16:03:06 +02:00
lana-k
bce3854792 fix test 2021-09-03 15:58:37 +02:00
lana-k
307cac06e6 remove html2canvas logging 2021-09-03 15:58:20 +02:00
lana-k
c4b0bdc870 fix lint 2021-09-03 15:25:30 +02:00
lana-k
69e0b2129b add tests for Pivot and Chart 2021-09-03 15:25:23 +02:00
lana-k
4ebb3715d6 add tests for RinResult 2021-09-03 15:22:48 +02:00
lana-k
858e32c9fd fix errors in tests 2021-09-01 22:42:34 +02:00
lana-k
42cce95ed0 fix errors in tests 2021-09-01 22:27:51 +02:00
lana-k
61ffcc82d6 add test for clipboard copying in DataView 2021-08-30 23:10:57 +02:00
lana-k
4716bcf258 DataView tests 2021-08-29 22:27:25 +02:00
lana-k
23d2421584 add tests for clipboard lib 2021-08-29 21:32:13 +02:00
lana-k
4730afc68a add test for tab 2021-08-29 21:31:50 +02:00
lana-k
6b902d5f00 fix line size 2021-08-29 21:31:30 +02:00
lana-k
a484c1e022 add test for pivot helper 2021-08-29 21:30:53 +02:00
lana-k
1ed5bf2fae add test for sleep 2021-08-29 21:29:36 +02:00
lana-k
da8dc71f23 add test to csv (serialize) 2021-08-29 21:29:21 +02:00
lana-k
ebac3d8f6c add test for chart helper 2021-08-29 21:28:55 +02:00
lana-k
0336168bdc line size lint checking 2021-08-29 21:27:02 +02:00
lana-k
e38f482933 saveAsPng refactoring 2021-08-28 19:07:10 +02:00
lana-k
bcd98fe1ad add sleep function 2021-08-23 22:20:03 +02:00
lana-k
ec3ec6f57a add test for selection and filter #84 2021-08-22 16:50:17 +02:00
lana-k
ae9e2bc03c fix lint errors 2021-08-22 15:01:22 +02:00
lana-k
fe11d446f3 add NO found msg #83; fix checkbox behaviour #84 2021-08-22 15:00:34 +02:00
lana-k
e6bef139f1 Support vector graphic chart download #39 2021-08-21 22:51:17 +02:00
lana-k
d7e0e52da5 add copy dialog for csv #50 2021-08-21 21:41:06 +02:00
lana-k
09cec13a9c show dialog for keeping user activity #50 2021-08-21 18:44:29 +02:00
lana-k
0cae368350 fix lint errors #50 2021-08-20 22:33:15 +02:00
lana-k
88c62a1dfb show message about ClipboardItem support #50
for Firefox
2021-08-20 22:30:48 +02:00
lana-k
ead861b610 copy png to clipboard #50 2021-08-20 21:45:05 +02:00
lana-k
949e6b626e fix lint errors #81 2021-08-20 18:07:30 +02:00
lana-k
6dc81f7be6 copy result set as tsv #50 2021-08-20 18:06:58 +02:00
lana-k
bb39dcbc2f use tab for export to csv #81
(support paste to google sheets)
2021-08-20 18:05:51 +02:00
lana-k
131efb55df update readme #81 2021-08-20 15:38:18 +02:00
lana-k
b33974c26c Export result set to CSV file #81 2021-08-20 15:36:19 +02:00
lana-k
e9c97beb5a fix lint error 2021-08-18 22:09:32 +02:00
lana-k
cabc4f8acd fix JS error during running queries #80 2021-08-18 21:50:42 +02:00
lana-k
679a785d70 add test for view #78 2021-08-18 21:24:12 +02:00
lana-k
a91add40cc uninstall sqlite parser #78 2021-08-18 20:58:53 +02:00
twoxfh
53b2d8372f Updating how database object information is getting retrieved (#79)
* Updating how database object information is getting retrieved

I updated the SQLite query for gathering database objects to make use of the JSON1 extension so you can grab tables and views name, their associated columns with types and set it to the schema. This removes the need to work with DDL's. Hints for Tables and Views works since my approach is they are both database objects.
2021-08-18 20:22:30 +02:00
lana-k
f3e8448851 update version 2021-08-11 23:16:11 +02:00
lana-k
4213e9df5c fix lint errors 2021-08-10 23:36:16 +02:00
lana-k
9f32323a80 fix column order in result set #74 2021-08-10 20:31:12 +02:00
lana-k
2ed5160f65 remove maps from root 2021-08-05 18:47:24 +02:00
lana-k
fe8ab3f3e8 update version 2021-08-05 18:44:10 +02:00
saaj
848112979b SQLite WebAssembly micro-benchmark and new build with a memory leak fix (#70) 2021-08-05 18:35:31 +02:00
lana-k
2830df2adc Update README.md 2021-08-04 22:25:23 +02:00
lana-k
5017b55944 Pivot implementation and redesign (#69)
- Pivot support implementation 
- Rename queries into inquiries
- Rename editor into workspace
- Change result set format
- New JSON format for inquiries
- Redesign panels
2021-08-04 22:20:51 +02:00
lana-k
8d0bc6affe Update package.json 2021-07-15 22:48:46 +02:00
lana-k
d07506266c fix lint error 2021-07-15 22:41:36 +02:00
lana-k
cea1d40797 Merge branch 'master' of github.com:lana-k/sqliteviz 2021-07-15 22:36:33 +02:00
lana-k
0f2dc9f11e fix ISO time columns when no column names #66 2021-07-15 22:36:07 +02:00
lana-k
23250259eb Update package.json 2021-07-04 13:57:13 +02:00
lana-k
fb930028de update chokidar 2021-07-04 13:05:06 +02:00
lana-k
1ff4adf95c Merge branch 'master' of github.com:lana-k/sqliteviz 2021-07-04 12:23:35 +02:00
lana-k
78cdb3809c update npm in CI 2021-07-03 19:55:47 +02:00
saaj
3a6628cab9 Pre-built custom sql.js for sqliteviz (#62)
* Proof-of-concept pre-built custom sql.js

* Rewrite Makefile as a couple of comprehensible Python scripts

* Add link to a blog post about transitive closure in SQLite

* Remove eval extension -- no much point as it only returns a string

* Consistently use existing Path objects

* Add basic tests scalar functions from extension-functions.c

* Test presence of functions from the rest of built extensions

* Use the same sqlite.com domain

* Add a couple SQLite compile flags that may make it a bit faster

* Add regexpi function test

* Add node about regexpi and REGEXP operator

* Workaround first build failure, rebuild lock file and minor fixes
2021-07-03 16:43:43 +02:00
lana-k
418809d27d lint no fix in CI 2021-07-03 15:48:56 +02:00
lana-k
f9edeafd40 fix csv import with ISO dates #64 2021-07-01 19:07:59 +02:00
lana-k
a37ed93306 update version 2021-06-17 12:24:41 +02:00
lana-k
cf4b83f7d4 fix csv result when column names have spaces #59 2021-06-17 12:23:44 +02:00
lana-k
2abd42c9c3 run tests on pull request 2021-06-07 13:20:42 +02:00
lana-k
1251c542cb update react-chart-editor 2021-05-25 11:52:37 +02:00
lana-k
ac89259924 Always create empty db on start #46 2021-05-24 21:45:51 +02:00
lana-k
179ff8b1e1 fix table layout on My queries #32 2021-05-24 20:50:52 +02:00
lana-k
99a10225a3 CSV import as a table and db connection rework
- Add csv to existing db #32
- [RFE] Simplify working with temporary tables #53
2021-05-24 19:40:47 +02:00
lana-k
c96deb5766 Fix overflow for Firefox #46 2021-05-22 22:26:23 +02:00
lana-k
700970e1cc Add addTable icon #32 2021-05-22 22:25:19 +02:00
lana-k
e2be61e2cf Make error in text field start with uppercase #32 2021-05-22 22:24:20 +02:00
lana-k
9c2c8f3692 Make Logs smaller #32 2021-05-22 22:23:12 +02:00
lana-k
414a116f94 Lost focus in SQL query editor #54 2021-05-19 22:50:56 +02:00
lana-k
3e503f85a9 Stub app-diagnostic-info in tests 2021-05-19 21:52:42 +02:00
lana-k
88257bfcf6 fix CSV dialog height typo 2021-05-19 16:53:30 +02:00
lana-k
bdcc494138 Add scrolling to App info , CSV import dialogs #46 2021-05-19 16:43:42 +02:00
lana-k
d750541c80 App diagnostic dialog #46 2021-05-19 15:46:18 +02:00
lana-k
75f743ff9e remove title in release notes 2021-05-18 15:38:44 +02:00
lana-k
8a9f4b3c0a add Help link 2021-05-18 15:04:35 +02:00
lana-k
77468d34ae add release notes 2021-05-18 15:04:19 +02:00
lana-k
a0577ec0ce Fix gradient for Safari 2021-05-17 21:34:42 +02:00
lana-k
e7d1398546 Rewrite reg exp: make them work in Safari #52 2021-05-17 21:34:24 +02:00
lana-k
aa52048d51 Fix file type detection #48
file.type is empty on some Windows machines (Registry settings affects)
2021-05-17 21:32:09 +02:00
lana-k
33913f8f5c fix lint 2021-05-14 16:47:01 +02:00
lana-k
51eb7a543c Merge branch 'master' of github.com:lana-k/sqliteviz 2021-05-14 16:43:13 +02:00
lana-k
a3fb38b23c SQL query execution state in UI #3
- use LoadingIndicator
- use Logs
2021-05-14 16:42:58 +02:00
lana-k
3bb40b4eb7 Improve LoadingIndicator
- size parameters
- smooth animation (use ony transform)
2021-05-14 16:40:55 +02:00
lana-k
6864bf84f8 Update README.md 2021-05-06 21:36:20 +02:00
lana-k
9f1b3823f6 Update README.md 2021-05-06 20:46:36 +02:00
lana-k
7574f529c3 add hidden state for file in animation 2021-05-06 15:17:15 +02:00
lana-k
653f8eff7b minor changes in animation 2021-05-06 15:05:58 +02:00
lana-k
9b3dda6cff delete .nojekyll from master 2021-05-05 23:43:51 +02:00
lana-k
d94604ebfb Merge branch 'master' of github.com:lana-k/sqliteviz 2021-05-05 23:31:17 +02:00
lana-k
16868ef430 add clean-exclude 2021-05-05 23:30:33 +02:00
lana-k
b162c7043e Create .nojekyll 2021-05-05 23:20:46 +02:00
lana-k
8e856063b8 allow files with underscores on GitHub pages 2021-05-05 23:12:47 +02:00
lana-k
8684b4cef9 remove console.log 2021-05-05 21:46:29 +02:00
lana-k
bcaebd4840 Create an empty database #44 2021-05-05 21:44:44 +02:00
lana-k
4619461af8 change period format 2021-05-05 15:08:54 +02:00
lana-k
9fff1d699a update sql.js #43 2021-05-05 15:08:12 +02:00
lana-k
5ab19c3fae show hint in codemirror on Ctrl+Space 2021-05-04 16:33:37 +02:00
lana-k
cc483f4720 change code structure 2021-05-04 14:13:58 +02:00
lana-k
a07f2d3d99 update plotly 2021-05-02 20:59:03 +02:00
lana-k
b9844b8696 refine pwa app icons 2021-05-02 20:46:27 +02:00
lana-k
464bff3db8 delete screenshots 2021-05-02 20:45:24 +02:00
lana-k
00e434e142 fix loading db after csv:
new tab is not opened now
2021-05-02 14:09:02 +02:00
lana-k
5d6280abec add default table in hint options 2021-05-02 14:04:46 +02:00
lana-k
7a39e905b9 trim csv column names 2021-04-30 20:49:37 +02:00
lana-k
297ea2c18a fix path to service worker 2021-04-30 19:42:26 +02:00
lana-k
1f2327a724 fix global css in index.html 2021-04-30 19:04:08 +02:00
183 changed files with 999 additions and 55643 deletions

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> 1%
last 2 versions
not dead

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@@ -1,5 +0,0 @@
[*.{js,jsx,ts,tsx,vue}]
indent_style = space
indent_size = 2
trim_trailing_whitespace = true
insert_final_newline = true

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module.exports = {
root: true,
env: {
node: true
},
extends: [
'plugin:vue/essential',
'@vue/standard'
],
parserOptions: {
parser: 'babel-eslint'
},
rules: {
'no-console': process.env.NODE_ENV === 'production' ? 'warn' : 'off',
'no-debugger': process.env.NODE_ENV === 'production' ? 'warn' : 'off',
'no-case-declarations': 'off'
},
overrides: [
{
files: [
'**/__tests__/*.{j,t}s?(x)',
'**/tests/**/*.spec.{j,t}s?(x)'
],
env: {
mocha: true
}
}
]
}

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name: Deploy to GitHub Pages and create release
on:
workflow_dispatch:
push:
tags:
- '*'
jobs:
deploy:
name: Deploy to GitHub Pages and create release
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Use Node.js
uses: actions/setup-node@v1
with:
node-version: 10.x
- name: npm install and build
run: |
npm install
npm run build
- name: Create archive
run: |
cd dist
zip -9 -r dist.zip . -x "js/*.map"
- name: Create release
uses: ncipollo/release-action@v1
with:
artifacts: "dist/dist.zip"
token: ${{ secrets.GITHUB_TOKEN }}
- name: Deploy 🚀
uses: JamesIves/github-pages-deploy-action@3.6.2
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
BRANCH: build # The branch the action should deploy to.
FOLDER: dist/ # The folder the action should deploy.
CLEAN: false # Automatically remove deleted files from the deploy branch

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name: Run tests
on:
workflow_dispatch:
push:
branches:
- 'master'
jobs:
test:
name: Run tests
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Use Node.js
uses: actions/setup-node@v1
with:
node-version: 10.x
- name: Install browsers
run: |
export DEBIAN_FRONTEND=noninteractive
sudo apt-get update
sudo apt-get install -y chromium-browser firefox
- name: Install the project
run: npm install
- name: Run lint
run: npm run lint
- name: Run karma tests
run: npm run test

23
.gitignore vendored
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.DS_Store
node_modules
/dist
/coverage
# local env files
.env.local
.env.*.local
# Log files
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
# Editor directories and files
.idea
.vscode
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

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Basic-usage.md Normal file
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# Basic usage
## Choose SQLite database, CSV file, JSON or NDJSON file
You can choose a database, a CSV file, a JSON or NDJSON file right on the welcom page (fig. 1). The
supported file extentions: `.csv`, `.json`, `.ndjson`, `.db`,`.sqlite` and `.sqlite3`.
![Fig. 1: Welcome page](./img/Screenshot_welcome.png)
If you choose a CSV, JSON or NDJSON file it will be parsed. Then sqliteviz creates a new
database with data from the file. You can change table name
in the dialog which is shown automatically if you choose a CSV, JSON or NDJSON file.
For CSV you can also change parsing settings (fig. 2).
![Fig. 2: CSV import dialog](./img/Screenshot_csv.png)
If you don't have a database or CSV or JSON/NDJSON press `Create empty database` button and
then fill an empty database using DDL and DML statements. A tab with an example
of how to do it will be opened automatically (fig. 3).
![Fig. 3: Workspace (empty database)](./img/Screenshot_editor.png)
Database tables, columns and their types are shown in the left panel of the
`Workspace` (fig. 4).
![Fig. 4: Workspace (not empty database)](./img/Screenshot_editor_with_db.png)
## Create inquiry
### Open new tab
Press `Create` button in the top toolbar or use `Ctrl+b` (`Cmd+b` for MacOS)
keyboard shortcut to open a new tab for an inquiry. An inquiry consists of three
parts: SQL query, result set (result of the query execution) and visualisation
of the result set. A tab consists of two panels. Each of them can show one of
the three parts of inquiry. By default, the top panel shows SQL query editor and
the bottom panel shows the result set. You can switch any panel to any other
view with the corresponding buttons in the right side toolbar.
* ![](./img/sql.svg) Switch the panel to an SQL query editor. In that
editor, you can specify and run not only a `SELECT` statement for getting data
but also DDL/DML statements for modifying the database.
* ![](./img/table.svg) Switch the panel to the result set. Here you
can see the result of the query execution.
* ![](./img/visualisation.svg) Switch the panel to visualisation. This
panel allows building a pivot table, a graph or charts from the result set.
> **Note:** The query editor can show you hints: SQL keywords, table and column
> names. In a common case, column names are shown in the hint if you specify the
> table name, e.g. `SELECT table_name.`. But if there is only one table in your
> database column names will be always available in the hint. Press `Ctrl+Space`
> to show a hint explicitly.
### Run query
Press ![](./img/run.svg) button in the right side toolbar of an SQL
editor panel or use `Ctrl+r` or `Ctrl+Enter` (`Cmd+r` or `Cmd+Enter` for MacOS)
keyboard shortcut to execute a query in the current open tab.
> **Note:** Running is not available if a query for the current tab is not
> specified.
The query result will be displayed in the result panel (fig. 4).
### Create visualisation
After running a query switch any panel to the visualisation. Switch to the
disired type of visualisation with buttons in the right side toolbar of the
visualisation panel.
* ![](./img/chart.svg) Switch to a chart type visualisation.
* ![](./img/pivot.svg) Switch to a pivot type visualisation.
* ![](./img/graph.svg) Switch to a graph type visualisation.
A pivot table can be represented as a regular or multi-header table or
visualised with a chart.
Read more details of working with pivot in [Pivot tables][2].
There are some requirements for the result set to build a graph.
Read more in [Graph][3].
All customised charts in sqliteviz are created with a `react-chart-editor`
component (fig. 5). The same component with some additional features is used in
Plotly Chart Studio. Explore its [documentation][1] to learn how to build charts
with `react-chart-editor`.
![Fig. 5: Visualisation with a chart](./img/Screenshot_chart.png)
You can save any visualisation as an image by clicking ![](./img/camera.svg).
## Save inquiry
Press `Save` button in the top toolbar or use `Ctrl+s` (`Cmd+s` for MacOS)
keyboard shortcut to save an inquiry in the current opened tab to local storage
of your browser.
After that, the inquiry will be in the list on `Inquiries` page.
> **Note:** Only the text of the SQL query and the visualisation settings will
> be saved. The result of the query execution won't be saved.
[1]: https://plotly.com/chart-studio-help/tutorials/#basic
[2]: ../Pivot-table
[3]: ../Graph

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# Diagnostic information
SQLite running in sqliteviz is compiled with particular [options][1] that can
enable or disable some SQLite features. You can get a list of them in `App
info` dialog (fig. 1) by clicking on ![](./img/info.svg) icon in the top
toolbar.
![Fig. 1: App info dialog](./img/Screenshot_app_info.png)
[1]: https://sqlite.org/compile.html

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# Export current database
Sqliteviz allows running not only `SELECT` statements but DML/DDL statements
too. You can save database modifications into a `.sqlite` file by clicking on
icon ![](./img/file-export.svg) next to the database name on `Workspace`
page.

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# Graph
Sqliteviz supports graph (network) visualisation. To build a graph, first run a query to get data.
Then open the visualisation panel by clicking ![](./img/visualisation.svg)
in any of the two-side toolbars and choose the graph mode by clicking ![](./img/graph.svg).
## Requirements for result set
To build a graph, a result set must follow the following requirements:
- the first column must contain JSON documents (subsequent columns in the result set are ignored)
- each JSON document has a key indicating whether the document represents a node/vertex (value `0`)
or an edge (value `1`)
- each JSON document representing a node has a key with the node/vertex id
- each JSON document representing an edge has a key with the edge source node/vertex and a key with
the edge target node/vertex
That is what is the minimum required for a graph, but the JSON documents can have more fields used
in graph styling (read [Graph styling](#graph-styling)).
See also an example in [How to get a result set suitable for graph visualisation][1].
## Graph structure
Start building a graph by setting a mapping from your documents to node and edge properties.
Go to `Structure` > `Graph` and set the following fields:
- Object type a field containing `0` for node documents and `1` for edge documents.
- Node Id a field containing the node identifier
- Edge source a field keeping a node identifier where the edge begins.
- Edge target a field keeping a node identifier where the edge ends.
This is already enough to build a graph with default styling and circular layout.
![Fig. 1: Graph structure settings](./img/Screenshot_graph_structure.png)
## Graph styling
### General
Set a background color of the graph in `Style` > `General` panel.
### Nodes
There are the following settings in `Style` > `Nodes` panel:
- Label - a field containing the node label. Note that if the graph has too many nodes or the node
size is too small, some labels can be visible only at a certain zoom level.
- Label Color - a color of node labels
- Size - set a node size. There are 3 modes of node sizing: constant, variable and calculated.
- `Constant` means that all nodes have the same given size.
- `Variable` allows you to choose a field where the node size is taken from.
- `Calculated` allows you to choose a method that is used to calculate the node size.
Currently, 3 methods are available: total node degree, degree by in-edges and
degree by out-edges.
For variable and calculated sizing it's also possible to set the scale, the minimum
size and the sizing mode - area or diameter. In the diameter mode the difference
between node sizes is more noticeable.
- Color - set a node color. There are 3 modes of node color: constant, variable and calculated.
- `Constant` means that all nodes have the same color.
- `Variable` allows you to choose a field by which the color is determined.
With this option you can also choose if the color value should be taken directly or mapped to a
color palette.
- `Direct` mode means that in the JSON document representing the node, the value in the selected
field is used as a color. The color value in the JSON document can be set in different
ways:
1. As Hex, 8-digit (RGBA) Hex:
```
#000
000
#369C
369C
#f0f0f6
f0f0f6
#f0f0f688
f0f0f688
```
2. RGB, RGBA:
```
// As a string:
rgb(255, 0, 0)
rgb 255 0 0
rgba(255, 0, 0, .5)
// As a nested structure:
{ "r": 255, "g": 0, "b": 0 }
```
3. HSL, HSLA:
```
// As a string:
hsl(0, 100%, 50%)
hsla(0, 100%, 50%, .5)
hsl(0, 100%, 50%)
hsl 0 1.0 0.5
// As a nested structure:
{ "h": 0, "s": 1, "l": .5 }
```
4. HSV, HSVA:
```
// As a string:
hsv(0, 100%, 100%)
hsva(0, 100%, 100%, .5)
hsv(0 100% 100%)
hsv 0 1 1
// As a nested structure:
{ "h": 0, "s": 100, "v": 100 }
```
5. Named colors:
Case insensitive names are accepted, using the list of [colors in the CSS
spec][2].
```
RED
blanchedalmond
darkblue
```
When `Map to` option is selected, the value by the selected field can be anything because it
won't be used directly as a color. In this case each distinct value will be mapped to a certain
color, so nodes with the same value will have the same color. Click on a color palette to open a
palette selector.
`Calculated` color mode allows to choose a method that will be used to determine a color.
Currently, 3 methods are available: total node degree, degree by in-edges and degree by
out-edges. You can also choose a color palette that will be used in a mapping of calculated
values into an actual color.
- Color As - defines how color mapping should work - continuously or categorically.
Continuous mode is more suitable when the mapped values have a meaningful order. It looks more
informative with sequential palettes. In that case the lowest value corresponds to the first
color in the palette and the highest value - to the last color. The color of each intermediate
value reflects the position of that value in the range.
Categorical mode just uses the next color in the palette for each new distinct value.
- Colorscale Direction - use the selected palette as is or reverse it.
### Edges
There are the following settings in `Style` > `Edges` panel:
- Direction - show an edges with or without arrows
- Label - a field containing an edge label. Note that if the graph has too many edges,
some labels can be visible only at a certain zoom level.
- Label Color - a color of edge labels
- Size - set an edge thickness. There are 2 modes of edge sizing: constant and variable.
- `Constant` means that all edges have the same thickness.
- `Variable` allows you to choose a field where the edge size is taken from.
For variable sizing it's also possible to set the scale and the minimum size.
- Color - set an edge color. There are 2 modes of edge color: constant and variable. They work
similar to the node color modes.
- Color As - defines how color mapping should work - continuously or categorically, similar to the
node color setting.
- Colorscale Direction - use the selected palette as is or reverse it.
### Layout
#### Circular
In this layout all nodes are just placed along a circle.
#### Random
This layout places nodes randomly for each seed value. The seed value allows you to restore the
random layout you liked when you open the inquiry and run the query next time.
![Fig. 2: Random layout](./img/Screenshot_graph_random.png)
#### Circle pack
Arranges nodes as a bubble chart according to specified attributes. You can choose multiple
hierarchy attributes to group nodes.
![Fig. 3: Circle pack layout](./img/Screenshot_graph_circle_pack.png)
#### ForceAtlas2
A continuous graph layout algorithm. Read more details about the algorithm and its settings in the
[article][3]. The algorithm works iteratively. When you choose ForceAtlas2 layout or run the query,
it is automatically run 50 iterations of the algorithm. You can change the amount of steps run
automatically in `Initial Iterations`. You can also run and stop the algorithm manually by
clicking `Start`/`Stop` button.
![Fig. 3: ForceAtlas2 layout](./img/Screenshot_graph_force_atlas2.png)
[1]: ./How-to-get-result-set-suitable-for-graph-visualisation
[2]: https://www.w3.org/TR/css-color-4/#named-colors
[3]: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679

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Welcome to the sqliteviz wiki!
# For users
1. [Installation][0]
2. [Basic usage][1]
3. [Multiple file import][9]
4. [Manage inquiries][2]
5. [Export current database][4]
6. [Graph][13]
7. [Pivot table][3]
8. [Predefined inquiries][5]
9. [Sharing][11]
10. [Diagnostic information][6]
## Examples and tutorials
1. [How to rename tables and columns after CSV import][8]
2. [How to build a pivot table in SQL(ite)][10]
3. [How to rename tables and columns after CSV import][12]
# For developers
1. [Integrate predefined inquiries][7]
[0]: Installation
[1]: Basic-usage
[2]: Manage-inquiries
[3]: Pivot-table
[4]: Export-current-database
[5]: Predefined-inquiries
[6]: Diagnostic-information
[7]: Integrate-predefined-inquiries
[8]: How-to-rename-tables-and-columns-after-CSV-import
[9]: Multiple-CSV-file-import
[10]: How-to-build-a-pivot-table-in-SQLite
[11]: Sharing
[12]: How-to-rename-tables-and-columns-after-csv-import
[13]: Graph

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# How to build a pivot table in SQLite
This how-to explores how to build pivot tables in SQLite, which doesn't have a
special constructs like `PIVOT` or `CROSSTAB` in its SQL dialect.
## Static-column pivot table
If the columns of a pivot table are known beforehand, it's possible to write a
standard, say SQL-92, query that would produce a pivot table in its result set.
This example uses World Bank [country indicators][1]. This query calculates
average fertility and life expectancy for a few country groups.
```sql
SELECT
"Country Name",
AVG(IIF(
FLOOR(year / 10) = 196 AND "Indicator Name" LIKE 'Fertility rate%',
value,
NULL
)) AS "FR 196x",
AVG(IIF(
FLOOR(year / 10) = 196 AND "Indicator Name" LIKE 'Life expectancy%',
value,
NULL
)) AS "LE 196x",
AVG(IIF(
FLOOR(year / 10) = 197 AND "Indicator Name" LIKE 'Fertility rate%',
value,
NULL
)) AS "FR 197x",
AVG(IIF(
FLOOR(year / 10) = 197 AND "Indicator Name" LIKE 'Life expectancy%',
value,
NULL
)) AS "LE 197x",
AVG(IIF(
FLOOR(year / 10) = 198 AND "Indicator Name" LIKE 'Fertility rate%',
value,
NULL
)) AS "FR 198x",
AVG(IIF(
FLOOR(year / 10) = 198 AND "Indicator Name" LIKE 'Life expectancy%',
value,
NULL
)) AS "LE 198x",
AVG(IIF(
FLOOR(year / 10) = 199 AND "Indicator Name" LIKE 'Fertility rate%',
value,
NULL
)) AS "FR 199x",
AVG(IIF(
FLOOR(year / 10) = 199 AND "Indicator Name" LIKE 'Life expectancy%',
value,
NULL
)) AS "LE 199x",
AVG(IIF(
FLOOR(year / 10) = 200 AND "Indicator Name" LIKE 'Fertility rate%',
value,
NULL
)) AS "FR 200x",
AVG(IIF(
FLOOR(year / 10) = 200 AND "Indicator Name" LIKE 'Life expectancy%',
value,
NULL
)) AS "LE 200x"
FROM country_indicators
WHERE "Country Name" IN(
'Arab World',
'Central Europe and the Baltics',
'East Asia & Pacific',
'European Union',
'Latin America & Caribbean',
'High income',
'Middle income',
'Low income'
)
GROUP BY 1
ORDER BY
CASE "Country Name"
WHEN 'High income' THEN 1
WHEN 'Middle income' THEN 2
WHEN 'Low income' THEN 3
WHEN 'European Union' THEN 4
WHEN 'Central Europe and the Baltics' THEN 5
WHEN 'East Asia & Pacific' THEN 6
WHEN 'Latin America & Caribbean' THEN 7
WHEN 'Arab World' THEN 8
ELSE 99
END
```
## Dynamic-column pivot table
SQLite in sqliteviz is built with [pivot_vtab][2] extension. The same result set
can be produced with this, arguably simpler and more maintainable, query.
```sql
CREATE VIRTUAL TABLE temp.pivot USING pivot_vtab(
(
WITH t(country_name) AS (VALUES
('High income'),
('Middle income'),
('Low income'),
('European Union'),
('Central Europe and the Baltics'),
('East Asia & Pacific'),
('Latin America & Caribbean'),
('Arab World')
)
SELECT country_name FROM t
),
(
SELECT
FLOOR(year / 10) || '|' || "Indicator Name" column_key,
CASE
WHEN "Indicator Name" LIKE 'Fertility rate%' THEN 'FR'
WHEN "Indicator Name" LIKE 'Life expectancy%' THEN 'LE'
END || ' ' || FLOOR(year / 10) || 'x' column_name
FROM country_indicators
WHERE
"Indicator Name" LIKE 'Fertility rate%'
OR "Indicator Name" LIKE 'Life expectancy%'
GROUP BY 1
),
(
SELECT AVG(value)
FROM country_indicators
WHERE
"Country Name" = :country_name
AND FLOOR(year / 10) || '|' || "Indicator Name" = :column_key
)
);
SELECT * FROM pivot
```
[1]: https://github.com/plotly/datasets/blob/master/country_indicators.csv
[2]: https://github.com/jakethaw/pivot_vtab

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# How to get a result set suitable for graph visualisation
There are some [requirements for result sets][1] if you want to make a graph.
Here is an example of building a query that returns a result set appropriate for graph
visualisation.
Let's say, you have 2 tables:
1. `house`:
| name | points |
| ---------- | ------ |
| Gryffindor | 100 |
| Hufflepuff | 90 |
| Ravenclaw | 95 |
| Slytherin | 80 |
2. `student`:
| id | name | house |
| -- | -------------- | ---------- |
| 1 | Harry Potter | Gryffindor |
| 2 | Ron Weasley | Gryffindor |
| 3 | Draco Malfoy' | Slytherin |
| 4 | Luna Lovegood | Ravenclaw |
| 5 | Cedric Diggory | Hufflepuff |
Each student belongs to a certain house.
Let's say you want to build a graph with houses and students as nodes, where each house is linked
with its students.
We are going to use [json_object][2] function to form JSON documents. The result set should contain
both nodes and edges and we have to provide a field indicating if the document represents a node
(0) or and edge (1). Let's provide it as `object_type`:
```sql
SELECT json_object('object_type', 0)
FROM house
UNION ALL
SELECT json_object('object_type', 0)
FROM student
UNION ALL
SELECT json_object('object_type', 1)
FROM student
```
Note that we included `student` table twice. That is because the table contains not only students
but also their relationship to houses. So the records from the first union of `student` are used
as nodes and from the second one - as edges.
Then we need to provide an ID for each node. Let's put it in `node_id` field. The `node_id` value
for students is taken from `id` column and for houses - from `name`:
```sql
SELECT json_object('object_type', 0, 'node_id', name)
FROM house
UNION ALL
SELECT json_object('object_type', 0, 'node_id', id)
FROM student
UNION ALL
SELECT json_object('object_type', 1)
FROM student
```
Each edge document must provide a node id where the edge begins and where it ends. Let's put it in
`source` and `target`:
```sql
SELECT json_object('object_type', 0, 'node_id', name)
FROM house
UNION ALL
SELECT json_object('object_type', 0, 'node_id', id)
FROM student
UNION ALL
SELECT json_object('object_type', 1, 'source', house, 'target', id)
FROM student
```
Basically, that is enough to build a graph. But it is not very meaningful without labels.
Also, it would be nice to distinguish house nodes from student nodes by color.
Let's put additional fields `label` and `type` that can be used in graph styling.
```sql
SELECT json_object('object_type', 0, 'node_id', name, 'label', name, 'type', 'house') AS graph_object
FROM house
UNION ALL
SELECT json_object('object_type', 0, 'node_id', id, 'label', name, 'type', 'student')
FROM student
UNION ALL
SELECT json_object('object_type', 1, 'source', house, 'target', id)
FROM student
```
Run the query, the result set will look like this:
| graph_object |
| ------------------------------------------------------------------------------ |
| {"object_type":0,"node_id":"Gryffindor","label":"Gryffindor","type":"house"} |
| {"object_type":0,"node_id":"Hufflepuff","label":"Hufflepuff","type":"house"} |
| {"object_type":0,"node_id":"Ravenclaw","label":"Ravenclaw","type":"house"} |
| {"object_type":0,"node_id":"Slytherin","label":"Slytherin","type":"house"} |
| {"object_type":0,"node_id":1,"label":"Harry Potter","type":"student"} |
| {"object_type":0,"node_id":2,"label":"Ron Weasley","type":"student"} |
| {"object_type":0,"node_id":3,"label":"Draco Malfoy","type":"student"} |
| {"object_type":0,"node_id":4,"label":"Luna Lovegood","type":"student"} |
| {"object_type":0,"node_id":5,"label":"Cedric Diggory","type":"student"} |
| {"object_type":1,"node_source":"Gryffindor","target":1} |
| {"object_type":1,"node_source":"Gryffindor","target":2} |
| {"object_type":1,"node_source":"Slytherin","target":3} |
| {"object_type":1,"node_source":"Ravenclaw","target":4} |
| {"object_type":1,"node_source":"Hufflepuff","target":5} |
Now in the graph editor, we can set mapping of the result set documents into node and edge
properties, set graph styles and get the following visualisation:
![Fig. 1: Graph visualisation example](./img/Screenshot_potter_example.png)
[1]: ./graph#requirements-for-result-set
[2]: https://sqlite.org/json1.html#jobj

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# How to migrate to sqliteviz.com
All upcoming sqliteviz releases will be deployed on sqliteviz.com instead of
[Github Pages](https://lana-k.github.io/sqliteviz/#/). The saved inquiries that
you still care about can be imported to sqliteviz.com as usual.
## Step 1: export inquiries
- Click `Inquiries` in the main top menu
- Select all inquiries by clicking the checkbox in the table header
- Click `Export` and save your inquiries in a JSON file
## Step 2: uninstall sqliteviz
If you installed sqliteviz as PWA uninstall it before install the new version.
- Go to `chrome://apps/` in your browser
- Right click on sqliteviz icon
- Choose `Remove from Chrome`
## Step 3: import inquiries
- Go to [https://sqliteviz.com/app/#/workspace](https://sqliteviz.com/app/#/workspace)
- Click `Inquiries` in the main top menu
- Click `Import`
- Choose the file where you exported your inquiries

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# How to rename tables and columns after CSV import
## Rename columns
If sqliteviz parses CSV without `Use first row as column headers` option then
it will name the columns like `col1`, `col2` etc. You can easily rename the
columns after import with `ALTER TABLE` statements like this:
```sql
ALTER TABLE your_table_name
RENAME COLUMN current_column_name TO new_column_name;
```
### Column rename example
There is a table `dots` with columns `col1`, `col2`, `col3`. Here are the steps
to rename the columns to `x`, `y` and `z` respectively:
- Click `Create` in the top toolbar
- In the opened query editor write a script
```sql
ALTER TABLE dots
RENAME COLUMN col1 TO x;
ALTER TABLE dots
RENAME COLUMN col2 TO y;
ALTER TABLE dots
RENAME COLUMN col3 TO z;
```
- Click ![](./img/run.svg) to run the script
## Rename table
```sql
ALTER TABLE current_table_name
RENAME TO new_table_name;
```
### Table rename example
There is a table `dots`. Here are the steps to rename it to `point`:
- Click `Create` in the top toolbar
- In the opened query editor write a script
```sql
ALTER TABLE dots RENAME TO point
```
- Click ![](./img/run.svg) to run the script

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# Installation
The latest release of sqliteviz is running on [sqliteviz.com/app][1].
Basically, you don't need to install sqliteviz. But if you want you can install
it and use it as a regular desktop application with the following steps:
1. Open sqliteviz with [Chrome browser][2]
2. At the top right of the address bar, click `Install`
3. Confirm installation
See more about PWA on [Google Chrome Help][3].
[1]: https://sqliteviz.com/app/
[2]: https://www.google.com/chrome
[3]: https://support.google.com/chrome/answer/9658361?hl=en&ref_topic=7439636

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# Integrate predefined inquiries
If you run sqliteviz on your own server you can specify predefined inquiries.
These inquiries will appear in `Inquiries` list for all users working with
sqliteviz on your server.
To create a list of predefined inquiries choose inquiries in `Inquiries` list
and export them to `inquiries.json`. Then (re)place this file on the server in
the same directory as `index.html`.
A user can't edit, rename or delete a predefined inquiry. The rest operations
are available.

201
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@@ -1,201 +0,0 @@
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# Manage inquiries
## Organise
You can find all inquiries that you saved in `Inquiries` (fig. 1).
![Fig. 1: Inquiries](./img/Screenshot_my_inquiries.png)
To manipulate one inquiry hover the cursor over the row with the inquiry and
choose the action:
* ![](./img/rename.svg) rename an inquiry
* ![](./img/copy.svg) duplicate an inquiry
* ![](./img/file-export.svg) export an inquiry to JSON file
* ![](./img/delete.svg) delete an inquiry
To edit a query or visualisation settings of an inquiry click on the respective
row. You will be redirected to `Workspace` where the chosen inquiry will be
opened in a tab.
> **Note:** After opening an inquiry there will be no visualisation for it even
> if you specified it and saved. That is so because there is no data to build
> the visualisation. Run the query and all saved chart settings will be applied.
You can also delete or export a group of inquiries to a JSON file. Select
inquiries with checkboxes and press `Delete`/`Export` button above the grid
(fig. 2).
![Fig. 2: Inquiries: a group of inquiries is selected](./img/Screenshot_group.png)
> **Note:** Some operations are not available for predefined inquiries. Read
> [Predefined inquiries][1] for details.
## Import
Click `Import` button on `Inquiries` page to import inquiries from a JSON file
generated by export.
[1]: ../Predefined-inquiries

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# Multiple CSV, JSON or NDJSON file import
Sometimes it's useful to import several files as tables in one database. For
example, to be able to `JOIN` them in SQL.
In sqliteviz you can not only create a database from a CSV, JSON or NDJSON file, but also add
another table from CSV, JSON or NDJSON to the existing database.
- Click ![](./img/add-csv.svg) icon in the schema panel on `Workspace`
page
- Choose a file
- Import it with `import` dialog.

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# Pivot table
## Pivot table UI
Sqliteviz allows building pivot tables and visualizing them. To build a pivot
run a query to get data. Then open visualisation panel by clicking ![](./img/visualisation.svg)
in any of the two side toolbars and choose a pivot mode by clicking ![](./img/pivot.svg).
A pivot visualisation has the following settings:
- Columns choose one or more column names from the result set. The values in
the chosen columns will be column names of the pivot table.
- Rows choose one or more column names from the result set. The values in the
chosen columns will be row names of the pivot table.
- Order of columns and rows.
- Aggregator and its arguments a function which will be used for pivot cell
calculation. An aggregator can have from zero to two arguments. An aggregator
argument is one of the columns of the result set.
- View pivot table visualisation. It can be a table, a heatmap, a chart,
etc. See some examples of different views of the same pivot table below.
![Fig. 1: Table](./img/Screenshot_pivot_table.png)
![Fig. 2: Heatmap](./img/Screenshot_pivot_heatmap.png)
![Fig. 3: Horizontal Stacked Bar Chart](./img/Screenshot_pivot_barchart.png)
There are several built-in chart views for a pivot. But you can build your own
with `Custom chart` view (fig. 4).
![Fig. 4: Custom Chart](./img/Screenshot_pivot_custom_chart.png)
> **Note:** You can switch to other pivot views and back to `Custom chart`
> all your custom chart settings will be remembered. But if you switch the
> visualisation mode from pivot to any other mode, unsaved changes will be lost.
You can save any visualisation as an image by clicking ![](./img/camera.svg).
## Pivot table SQL
Pivot table (in the form of a result set) can be built on the SQL-level and,
technically speaking, can be visualised as any other result set. Practically
though there are a couple of challenges with that:
1. Visualising a dataset of long/tall shape is much more convenient in Plotly
(chart editor) rather than one of wide/fat shape.
2. SQLite doesn't have a special constructs like `PIVOT` or `CROSSTAB` in
its SQL dialect.
[How to build a pivot table in SQL(ite)][1] explores two options with static
(or beforehand-known) and dynamic columns.
[1]: ../How-to-build-a-pivot-table-in-SQ-Lite

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# Predefined inquiries
Predefined inquiries come out of the box on the sqliteviz instance. In sqliteviz
deployed on [Github Pages][1] there are no predefined inquiries, but you may
see them if you use sqliteviz integrated into another app.
These inquiries are shown in `Inqueries` list with a special label on the mouse
over (fig. 1).
![Fig. 1: Predefined inquiry](./img/Screenshot_predefined.png)
As a user, you can't rename or delete a predefined inquiry. You can't save
changes in a predefined inquiry, but you can save them as a new inquiry. The
rest operations, copy and export, are available.
[1]: https://lana-k.github.io/sqliteviz

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<p align="center">
<img src="src/assets/images/Logo.svg"/>
</p>
# sqliteviz
Sqliteviz is a single-page PWA for fully client-side visualisation of SQLite databases or CSV files.
This application allows to:
- run SQL queries in SQLite database and create all kinds of charts based on result set
- import CSV file into SQLite database and visualize imported data
- save queries and chart settings
- import/export queries and chart settings to/from a JSON file
- manipulate saved queries (rename, duplicate, delete)
- set predefined queries available for all users of sqliteviz on your server (read more about predefind queries on [Wiki][10])
- export modified SQLite database
- use it offline
## Get started
The latest release of sqliteviz is running on [Github pages][6]. The simplest way to start is to use sqliteviz there.
## Wiki
For user documentation, check out sqliteviz [Wiki][7].
## Motivation
It's a kind of middleground between [Plotly Falcon][1] and [Redash][2].
## Components
It is built on top of [react-chart-editor][3], [sql.js][4] and [Vue-Codemirror][8] in [Vue.js][5]. CSV parsing is performed with [Papa Parse][9].
[1]: https://github.com/plotly/falcon
[2]: https://github.com/getredash/redash
[3]: https://github.com/plotly/react-chart-editor
[4]: https://github.com/sql-js/sql.js
[5]: https://github.com/vuejs/vue
[6]: https://lana-k.github.io/sqliteviz
[7]: https://github.com/lana-k/sqliteviz/wiki
[8]: https://github.com/surmon-china/vue-codemirror#readme
[9]: https://www.papaparse.com/
[10]: https://github.com/lana-k/sqliteviz/wiki/Predefined-queries

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# Sharing
You can generate a share link. That allows to share not only inquiries but also
a database and inquiry display settings. Sqliteviz will automatically load
database and inquiries, open them and run the query for the first inquiry.
The share link can have the following query parameters:
| Parameter | Values | Description |
|--------------|----------------------------------|-------------|
| `data_url` | | A URL to an SQLite database file. If not provided sqliteviz will run inquiries agains an empty database.|
| `data_format`|`sqlite` | Currently share links support only "sqlite" data format.
| `inquiry_url`| | A URL to an inquiry JSON file (you can make that file with inquiry export see [Manage inquiries][3]).|
| `inquiry_id` | | If `inquiry_id` is provided (can occure multiple times) sqliteviz will load only inquiries with provided IDs. If not provided it will get them all.|
| `maximize` | `table`, `sqlEditor`, `dataView` | Specify which panel should be maximised for each inquiry. If not provided the inquiries will be opened in the default state: SQL editor on top and result set at the bottom.|
> **Note:** the server where you host your database or inquiry files must allow
cross-origin access. For example you can place your files on [GitHub Gist][1].
You can check your URLs with [CORS tester][2].
Use the following form to generate a share link:
[1]: https://gist.github.com/
[2]: https://cors-test.codehappy.dev/?origin=https%3A%2F%2Fsqliteviz.com%2F&method=get
[3]: ../Manage-inquiries

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module.exports = {
presets: [
'@vue/cli-plugin-babel/preset'
]
}

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index.md Executable file
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# Introduction
Sqliteviz is a single-page offline-first PWA for fully client-side visualisation of SQLite databases, CSV, JSON or NDJSON files.
With sqliteviz you can:
- run SQL queries against a SQLite database and create Plotly charts, graphs and pivot tables based on the result sets
- import a CSV, JSON or NDJSON file into a SQLite database and visualize imported data
- export result set to CSV file
- manage inquiries and run them against different databases
- import/export inquiries from/to a JSON file
- export a modified SQLite database
- use it offline from your OS application menu like any other desktop app

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// Karma configuration
'use strict'
const path = require('path')
const VueLoaderPlugin = require('vue-loader/lib/plugin')
function resolve (dir) {
return path.join(__dirname, dir)
}
module.exports = function (config) {
config.set({
// base path that will be used to resolve all patterns (eg. files, exclude)
basePath: '',
// frameworks to use
// available frameworks: https://npmjs.org/browse/keyword/karma-adapter
frameworks: ['mocha', 'sinon-chai'],
// list of files / patterns to load in the browser
files: [
'./karma.files.js',
{
pattern: 'node_modules/sql.js/dist/sql-wasm.wasm',
watched: false,
included: false,
served: true,
nocache: false
}
],
// list of files / patterns to exclude
exclude: [],
// preprocess matching files before serving them to the browser
// available preprocessors: https://npmjs.org/browse/keyword/karma-preprocessor
preprocessors: {
'./karma.files.js': ['webpack']
},
// test results reporter to use
// possible values: 'dots', 'progress'
// available reporters: https://npmjs.org/browse/keyword/karma-reporter
reporters: ['spec', 'coverage'],
coverageReporter: {
dir: 'coverage',
reporters: [{ type: 'lcov', subdir: '.' }, { type: 'text-summary' }]
},
// !!DONOT delete this reporter, or vue-cli-addon-ui-karma doesnot work
jsonResultReporter: {
outputFile: 'report/karma-result.json',
isSynchronous: true
},
junitReporter: {
outputDir: 'report', // results will be saved as $outputDir/$browserName.xml
outputFile: undefined, // if included, results will be saved as $outputDir/$browserName/$outputFile
suite: '', // suite will become the package name attribute in xml testsuite element
useBrowserName: true, // add browser name to report and classes names
nameFormatter: undefined, // function (browser, result) to customize the name attribute in xml testcase element
classNameFormatter: undefined, // function (browser, result) to customize the classname attribute in xml testcase element
properties: {} // key value pair of properties to add to the <properties> section of the report
},
// web server port
port: 9876,
// enable / disable colors in the output (reporters and logs)
colors: true,
// level of logging
// possible values: config.LOG_DISABLE || config.LOG_ERROR || config.LOG_WARN || config.LOG_INFO || config.LOG_DEBUG
logLevel: config.LOG_INFO,
// enable / disable watching file and executing tests whenever any file changes
autoWatch: false,
customLaunchers: {
FirefoxHeadlessTouch: {
base: 'FirefoxHeadless',
prefs: {
'dom.w3c_touch_events.enabled': 1
}
}
},
// start these browsers
// available browser launchers: https://npmjs.org/browse/keyword/karma-launcher
browsers: ['ChromiumHeadless', 'FirefoxHeadlessTouch'],
// Continuous Integration mode
// if true, Karma captures browsers, runs the tests and exits
singleRun: true,
// Concurrency level
// how many browser should be started simultaneous
concurrency: 2,
client: {
captureConsole: true,
mocha: {
timeout: 7000
}
},
browserConsoleLogOptions: {
terminal: true,
level: ''
},
webpack: {
mode: 'development',
entry: './src/main.js',
resolve: {
extensions: ['.js', '.vue', '.json'],
alias: {
vue$: 'vue/dist/vue.esm.js',
'@': resolve('src')
}
},
module: {
rules: [
{
test: /\.js$/,
exclude: /(node_modules|bower_components)/,
use: [
{
loader: 'babel-loader'
}
]
},
{
test: /\.js$/,
include: /src/,
exclude: /(node_modules|bower_components|\.spec\.js$)/,
use: [
{
loader: 'istanbul-instrumenter-loader',
options: {
esModules: true
}
}
]
},
{
test: /\.worker\.js$/,
loader: 'worker-loader'
},
{
test: /\.(png|jpe?g|gif|svg)(\?.*)?$/,
loader: 'url-loader'
},
{
test: /\.vue$/,
loader: 'vue-loader',
options: {
loaders: {
js: 'babel-loader'
},
postLoaders: {
js: 'istanbul-instrumenter-loader?esModules=true'
}
}
},
{
test: /\.css$/,
use: ['vue-style-loader', 'css-loader']
},
{
test: /\.scss$/,
use: ['vue-style-loader', 'css-loader', 'sass-loader']
},
{
test: /\.(woff2?|eot|ttf|otf)(\?.*)?$/,
loader: 'url-loader',
options: {
limit: 10000,
name: resolve('fonts/[name].[hash:7].[ext]')
}
}
]
},
plugins: [new VueLoaderPlugin()],
node: {
fs: 'empty'
}
},
webpackMiddleware: {
watchOptions: {
ignored: /node_modules/
}
},
proxies: {
'/_karma_webpack_/sql-wasm.wasm': '/base/node_modules/sql.js/dist/sql-wasm.wasm',
'/base/sql-wasm.wasm': '/base/node_modules/sql.js/dist/sql-wasm.wasm'
}
})
// Fix the timezone
process.env.TZ = 'Europe/Amsterdam'
}

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@@ -1,21 +0,0 @@
import Vue from 'vue'
import { VuePlugin } from 'vuera'
import VModal from 'vue-js-modal'
Vue.use(VuePlugin)
Vue.use(VModal)
Vue.config.productionTip = false
// require all test files (files that ends with .spec.js)
const testsContext = require.context('./tests', true, /\.spec.js$/)
// Read more about why we need to call testContext:
// https://www.npmjs.com/package/require-context#context-api
testsContext.keys().forEach(testsContext)
// require all src files except main.js and router/index.js for coverage.
// you can also change this to match only the subset of files that
// you want coverage for.
// We don't include router/index.js to avoid installing VueRouter globally in tests
const srcContext = require.context('./src', true, /^\.\/(?!(main|(router(\/)?(index)?))(\.js)?$)/)
srcContext.keys().forEach(srcContext)

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@@ -1,58 +0,0 @@
{
"name": "sqliteviz",
"version": "1.0.0",
"license": "Apache-2.0",
"private": true,
"scripts": {
"serve": "vue-cli-service serve",
"build": "NODE_OPTIONS=--max_old_space_size=4096 vue-cli-service build",
"test": "vue-cli-service karma",
"lint": "vue-cli-service lint"
},
"dependencies": {
"codemirror": "^5.57.0",
"core-js": "^3.6.5",
"debounce": "^1.2.0",
"nanoid": "^3.1.12",
"papaparse": "^5.3.0",
"plotly.js": "^1.57.1",
"promise-worker": "^2.0.1",
"react": "^16.13.1",
"react-chart-editor": "^0.42.0",
"react-dom": "^16.13.1",
"sql.js": "^1.3.0",
"sqlite-parser": "^1.0.1",
"vue": "^2.6.11",
"vue-codemirror": "^4.0.6",
"vue-js-modal": "^2.0.0-rc.6",
"vue-router": "^3.2.0",
"vuejs-paginate": "^2.1.0",
"vuera": "^0.2.7",
"vuex": "^3.4.0"
},
"devDependencies": {
"@vue/cli-plugin-babel": "^4.4.0",
"@vue/cli-plugin-eslint": "^4.4.0",
"@vue/cli-plugin-router": "^4.4.0",
"@vue/cli-plugin-vuex": "^4.4.0",
"@vue/cli-service": "^4.4.0",
"@vue/eslint-config-standard": "^5.1.2",
"@vue/test-utils": "^1.1.2",
"babel-eslint": "^10.1.0",
"chai": "^4.1.2",
"chai-as-promised": "^7.1.1",
"eslint": "^6.7.2",
"eslint-plugin-import": "^2.20.2",
"eslint-plugin-node": "^11.1.0",
"eslint-plugin-promise": "^4.2.1",
"eslint-plugin-standard": "^4.0.0",
"eslint-plugin-vue": "^6.2.2",
"karma": "^3.1.4",
"karma-firefox-launcher": "^2.1.0",
"karma-webpack": "^4.0.2",
"vue-cli-plugin-ui-karma": "^0.2.5",
"vue-template-compiler": "^2.6.11",
"workbox-webpack-plugin": "^6.1.5",
"worker-loader": "^3.0.8"
}
}

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<link rel="icon" href="<%= BASE_URL %>favicon.png">
<link rel="manifest" href="<%= BASE_URL %>manifest.webmanifest">
<title><%= htmlWebpackPlugin.options.title %></title>
<style>
#loading-wrapper {
position: fixed;
width: 100%;
height: 100%;
left: 0;
top: 0;
background-color: white;
}
#loading-text {
display: block;
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
color: #506784;
font-family: sans-serif;
font-size: 20px;
}
.svg-container {
display: block;
position: absolute;
left: 50%;
top: 50%;
transform: translate(-50%, -50%);
}
.loader-svg {
position: absolute;
left: 0; right: 0; top: 0; bottom: 0;
fill: none;
stroke-width: 5px;
stroke-linecap: round;
stroke: #119DFF;
}
.loader-svg.bg {
stroke: #C8D4E3;
}
.loader-svg.front {
stroke-dasharray: 402px;
animation: loading 2s linear 0s infinite;
}
@keyframes loading {
0% {
stroke-dasharray: 100px 402px;
stroke-dashoffset: 0;
}
50% {
stroke-dasharray: 251px;
stroke-dashoffset: -251px;
}
100% {
stroke-dasharray: 100px 402px;
stroke-dashoffset: -502px;
}
}
</style>
</head>
<body>
<noscript>
<strong>We're sorry but <%= htmlWebpackPlugin.options.title %> doesn't work properly without JavaScript enabled. Please enable it to continue.</strong>
</noscript>
<div id="app">
<div id="loading-wrapper">
<div id="loading-text">LOADING</div>
<svg class="svg-container" height="170" width="170" viewBox="0 0 170 170">
<circle
class="loader-svg bg"
cx="85"
cy="85"
r="80"
/>
<circle
class="loader-svg front"
cx="85"
cy="85"
r="80"
/>
</svg>
</div>
</div>
<!-- built files will be auto injected -->
</body>
</html>

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@@ -1,20 +0,0 @@
{
"background_color": "white",
"description": "Sqliteviz is a single-page application for fully client-side visualisation of SQLite databases or CSV.",
"display": "fullscreen",
"icons": [
{
"src": "Logo192x192.png",
"sizes": "192x192",
"type": "image/png"
},
{
"src": "Logo512x512.png",
"sizes": "512x512",
"type": "image/png"
}
],
"name": "sqliteviz",
"short_name": "sqliteviz",
"start_url": "index.html"
}

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@@ -1 +0,0 @@
[]

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@@ -1,44 +0,0 @@
let refresh = false
function invokeServiceWorkerUpdateFlow (registration) {
const agree = confirm('New version of the app is available. Refresh now?')
if (agree) {
if (registration.waiting) {
// let waiting Service Worker know it should became active
refresh = true
registration.waiting.postMessage({ type: 'SKIP_WAITING' })
}
}
}
if ('serviceWorker' in navigator) {
window.addEventListener('load', async () => {
const registration = await navigator.serviceWorker.register('/service-worker.js')
// ensure the case when the updatefound event was missed is also handled
// by re-invoking the prompt when there's a waiting Service Worker
if (registration.waiting) {
invokeServiceWorkerUpdateFlow(registration)
}
// detect Service Worker update available and wait for it to become installed
registration.addEventListener('updatefound', () => {
const newRegestration = registration.installing
if (newRegestration) {
// wait until the new Service worker is actually installed (ready to take over)
newRegestration.addEventListener('statechange', () => {
if (registration.waiting && navigator.serviceWorker.controller) {
invokeServiceWorkerUpdateFlow(registration)
}
})
}
})
// detect controller change and refresh the page
navigator.serviceWorker.addEventListener('controllerchange', () => {
if (refresh) {
window.location.reload()
refresh = false
}
})
})
}

33
sidebar.json Normal file
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[{
"sections": [{
"title": "For users",
"items": [
"/docs/",
"/docs/installation/",
"/docs/basic-usage/",
"/docs/multiple-csv-file-import/",
"/docs/manage-inquiries/",
"/docs/export-current-database/",
"/docs/graph/",
"/docs/pivot-table/",
"/docs/predefined-inquiries/",
"/docs/sharing/",
"/docs/diagnostic-information/"
]
},
{
"title": "Examples and tutorials",
"items": [
"/docs/how-to-migrate-to-sqliteviz-dot-com/",
"/docs/how-to-build-a-pivot-table-in-sq-lite/",
"/docs/how-to-rename-tables-and-columns-after-csv-import/"
]
},
{
"title": "For developers",
"items": [
"/docs/integrate-predefined-inquiries/"
]
}
]
}]

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@@ -1,63 +0,0 @@
<template>
<div id="app">
<router-view/>
</div>
</template>
<style>
@font-face {
font-family: "Open Sans";
src: url("~@/assets/fonts/OpenSans-Regular.woff2");
font-weight: 400;
font-style: normal;
}
@font-face {
font-family: "Open Sans";
src: url("~@/assets/fonts/OpenSans-SemiBold.woff2");
font-weight: 600;
font-style: normal;
}
@font-face {
font-family: "Open Sans";
src: url("~@/assets/fonts/OpenSans-Bold.woff2");
font-weight: 700;
font-style: normal;
}
@font-face {
font-family: "Open Sans";
src: url("~@/assets/fonts/OpenSans-Italic.woff2");
font-weight: 400;
font-style: italic;
}
@font-face {
font-family: "Open Sans";
src: url("~@/assets/fonts/OpenSans-SemiBoldItalic.woff2");
font-weight: 600;
font-style: italic;
}
@font-face {
font-family: "Open Sans";
src: url("~@/assets/fonts/OpenSans-BoldItalic.woff2");
font-weight: 700;
font-style: italic;
}
#app,
input,
label,
button,
.plotly_editor * {
font-family: "Open Sans", Helvetica, Arial, sans-serif;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
body {
margin: 0;
}
</style>

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@@ -1,130 +0,0 @@
export default {
0: { name: 'null character' },
1: { name: 'start of header' },
2: { name: 'start of text' },
3: { name: 'end of text' },
4: { name: 'end of transmission' },
5: { name: 'enquiry' },
6: { name: 'acknowledge' },
7: { name: 'bell (ring)' },
8: { name: 'backspace' },
9: { name: 'horizontal tab' },
10: { name: 'line feed' },
11: { name: 'vertical tab' },
12: { name: 'form feed' },
13: { name: 'carriage return' },
14: { name: 'shift out' },
15: { name: 'shift in' },
16: { name: 'data link escape' },
17: { name: 'device control 1' },
18: { name: 'device control 2' },
19: { name: 'device control 3' },
20: { name: 'device control 4' },
21: { name: 'negative acknowledge' },
22: { name: 'synchronize' },
23: { name: 'end transmission block' },
24: { name: 'cancel' },
25: { name: 'end of medium' },
26: { name: 'substitute' },
27: { name: 'escape' },
28: { name: 'file separator' },
29: { name: 'group separator' },
30: { name: 'record separator' },
31: { name: 'unit separator' },
32: { name: 'space' },
33: { name: 'exclamation mark' },
34: { name: 'quotation mark' },
35: { name: 'number sign' },
36: { name: 'dollar sign' },
37: { name: 'percent sign' },
38: { name: 'ampersand' },
39: { name: 'apostrophe' },
40: { name: 'left parenthesis' },
41: { name: 'right parenthesis' },
42: { name: 'asterisk' },
43: { name: 'plus sign' },
44: { name: 'comma' },
45: { name: 'hyphen' },
46: { name: 'period' },
47: { name: 'slash' },
48: { name: 'digit 0' },
49: { name: 'digit 1' },
50: { name: 'digit 2' },
51: { name: 'digit 3' },
52: { name: 'digit 4' },
53: { name: 'digit 5' },
54: { name: 'digit 6' },
55: { name: 'digit 7' },
56: { name: 'digit 8' },
57: { name: 'digit 9' },
58: { name: 'colon' },
59: { name: 'semicolon' },
60: { name: 'less-than' },
61: { name: 'equals-to' },
62: { name: 'greater-than' },
63: { name: 'question mark' },
64: { name: 'at sign' },
65: { name: 'uppercase A' },
66: { name: 'uppercase B' },
67: { name: 'uppercase C' },
68: { name: 'uppercase D' },
69: { name: 'uppercase E' },
70: { name: 'uppercase F' },
71: { name: 'uppercase G' },
72: { name: 'uppercase H' },
73: { name: 'uppercase I' },
74: { name: 'uppercase J' },
75: { name: 'uppercase K' },
76: { name: 'uppercase L' },
77: { name: 'uppercase M' },
78: { name: 'uppercase N' },
79: { name: 'uppercase O' },
80: { name: 'uppercase P' },
81: { name: 'uppercase Q' },
82: { name: 'uppercase R' },
83: { name: 'uppercase S' },
84: { name: 'uppercase T' },
85: { name: 'uppercase U' },
86: { name: 'uppercase V' },
87: { name: 'uppercase W' },
88: { name: 'uppercase X' },
89: { name: 'uppercase Y' },
90: { name: 'uppercase Z' },
91: { name: 'left square bracket' },
92: { name: 'backslash' },
93: { name: 'right square bracket' },
94: { name: 'caret' },
95: { name: 'underscore' },
96: { name: 'grave accent' },
97: { name: 'lowercase a' },
98: { name: 'lowercase b' },
99: { name: 'lowercase c' },
100: { name: 'lowercase d' },
101: { name: 'lowercase e' },
102: { name: 'lowercase f' },
103: { name: 'lowercase g' },
104: { name: 'lowercase h' },
105: { name: 'lowercase i' },
106: { name: 'lowercase j' },
107: { name: 'lowercase k' },
108: { name: 'lowercase l' },
109: { name: 'lowercase m' },
110: { name: 'lowercase n' },
111: { name: 'lowercase o' },
112: { name: 'lowercase p' },
113: { name: 'lowercase q' },
114: { name: 'lowercase r' },
115: { name: 'lowercase s' },
116: { name: 'lowercase t' },
117: { name: 'lowercase u' },
118: { name: 'lowercase v' },
119: { name: 'lowercase w' },
120: { name: 'lowercase x' },
121: { name: 'lowercase y' },
122: { name: 'lowercase z' },
123: { name: 'left curly brace' },
124: { name: 'vertical bar' },
125: { name: 'right curly brace' },
126: { name: 'tilde' },
127: { name: 'delete (rubout)' }
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