0.0.293 • Published 11 months ago

@malloydata/malloy v0.0.293

Weekly downloads
-
License
MIT
Repository
github
Last release
11 months ago

Malloy

Malloy is an experimental language for describing data relationships and transformations. It is both a semantic modeling language and a querying language that runs queries against a relational database. Malloy currently connects to BigQuery and Postgres, and natively supports DuckDB. We've built a Visual Studio Code extension to facilitate building Malloy data models, querying and transforming data, and creating simple visualizations and dashboards.

Building applications or products in javascript with @malloydata/malloy

This package facilitates building the Malloy language - or the usage of data models or queries written in the Malloy language - into your product, data application, or website. The @malloydata/malloy library translates complex data operations written in the Malloy language into 1) SQL and 2) metadata. The SQL can be run against a database, and then combined with results and rendered or used in a varitey of ways.

Show me an example!

const malloy = require("@malloydata/malloy")
const bigquery = require("@malloydata/db-bigquery")

const connection = new bigquery.BigQueryConnection("bigquery");
const runtime = new malloy.SingleConnectionRuntime(connection);
const model = runtime.loadModel("source: airports is bigquery.table('malloytest.airports')")
const runner = model.loadQuery("run: airports->{aggregate: airport_count is count()}")
runner.run().then((result) => {
    console.log(result.data.value) // [ { airport_count: 19793 } ]
})

Note: These APIs are still in beta and subject to change.

What's actually going on here?

The @malloydata/malloy is basically a compiler that takes a few things as input - 1. Some text that defines a Malloy data model 2. Some text that defines a Malloy query and 3. Some schema information about the table(s) the query might run against. The compiler works by attempting to compile the data model, and stopping compilation when it needs to ask for things it requires to continue compilation. This "loop" is then re-initiated when you provide the compiler with the additional information, until a point when the compiler has all the information it needs to compile a Malloy query based on a data model.

In practice, much of this loop is handled by various database plugins:

Do you have any examples?

You can find a (very) simple example of writing a CLI for executing Malloy queries here

A more realistic and complex use case - we use these libraries to power our VSCode Extension. Some examples can be found here

0.0.209

1 year ago

0.0.208

1 year ago

0.0.207

1 year ago

0.0.216

1 year ago

0.0.215

1 year ago

0.0.214

1 year ago

0.0.213

1 year ago

0.0.219

1 year ago

0.0.218

1 year ago

0.0.217

1 year ago

0.0.212

1 year ago

0.0.211

1 year ago

0.0.210

1 year ago

0.0.227

1 year ago

0.0.226

1 year ago

0.0.225

1 year ago

0.0.224

1 year ago

0.0.229

1 year ago

0.0.228

1 year ago

0.0.223

1 year ago

0.0.222

1 year ago

0.0.221

1 year ago

0.0.220

1 year ago

0.0.279

11 months ago

0.0.274

12 months ago

0.0.273

12 months ago

0.0.272

12 months ago

0.0.271

12 months ago

0.0.278

11 months ago

0.0.277

11 months ago

0.0.276

12 months ago

0.0.275

12 months ago

0.0.270

12 months ago

0.0.285

11 months ago

0.0.284

11 months ago

0.0.283

11 months ago

0.0.282

11 months ago

0.0.289

11 months ago

0.0.288

11 months ago

0.0.287

11 months ago

0.0.286

11 months ago

0.0.281

11 months ago

0.0.280

11 months ago

0.0.293

11 months ago

0.0.292

11 months ago

0.0.291

11 months ago

0.0.290

11 months ago

0.0.238

1 year ago

0.0.236

1 year ago

0.0.235

1 year ago

0.0.239

1 year ago

0.0.230

1 year ago

0.0.234

1 year ago

0.0.233

1 year ago

0.0.232

1 year ago

0.0.231

1 year ago

0.0.249

1 year ago

0.0.248

1 year ago

0.0.247

1 year ago

0.0.246

1 year ago

0.0.241

1 year ago

0.0.240

1 year ago

0.0.245

1 year ago

0.0.244

1 year ago

0.0.243

1 year ago

0.0.242

1 year ago

0.0.259

1 year ago

0.0.258

1 year ago

0.0.257

1 year ago

0.0.252

1 year ago

0.0.251

1 year ago

0.0.250

1 year ago

0.0.256

1 year ago

0.0.255

1 year ago

0.0.254

1 year ago

0.0.253

1 year ago

0.0.269

1 year ago

0.0.268

1 year ago

0.0.263

1 year ago

0.0.262

1 year ago

0.0.261

1 year ago

0.0.260

1 year ago

0.0.267

1 year ago

0.0.266

1 year ago

0.0.265

1 year ago

0.0.264

1 year ago

0.0.206

1 year ago

0.0.205

1 year ago

0.0.204

1 year ago

0.0.203

1 year ago

0.0.202

2 years ago

0.0.201

2 years ago

0.0.200

2 years ago

0.0.197

2 years ago

0.0.196

2 years ago

0.0.195

2 years ago

0.0.194

2 years ago

0.0.199

2 years ago

0.0.198

2 years ago

0.0.193

2 years ago

0.0.192

2 years ago

0.0.191

2 years ago

0.0.190

2 years ago

0.0.189

2 years ago

0.0.186

2 years ago

0.0.185

2 years ago

0.0.184

2 years ago

0.0.183

2 years ago

0.0.188

2 years ago

0.0.187

2 years ago

0.0.182

2 years ago

0.0.181

2 years ago

0.0.179

2 years ago

0.0.180

2 years ago

0.0.178

2 years ago

0.0.177

2 years ago

0.0.176

2 years ago

0.0.159

2 years ago

0.0.158

2 years ago

0.0.153

2 years ago

0.0.152

2 years ago

0.0.151

2 years ago

0.0.150

2 years ago

0.0.157

2 years ago

0.0.156

2 years ago

0.0.155

2 years ago

0.0.154

2 years ago

0.0.169

2 years ago

0.0.164

2 years ago

0.0.163

2 years ago

0.0.162

2 years ago

0.0.161

2 years ago

0.0.168

2 years ago

0.0.167

2 years ago

0.0.166

2 years ago

0.0.165

2 years ago

0.0.160

2 years ago

0.0.175

2 years ago

0.0.174

2 years ago

0.0.173

2 years ago

0.0.172

2 years ago

0.0.171

2 years ago

0.0.170

2 years ago

0.0.149

2 years ago

0.0.148

2 years ago

0.0.147

2 years ago

0.0.146

2 years ago

0.0.145

2 years ago

0.0.144

2 years ago

0.0.143

2 years ago

0.0.142

2 years ago

0.0.141

2 years ago

0.0.140

2 years ago

0.0.138

2 years ago

0.0.137

2 years ago

0.0.136

2 years ago

0.0.135

2 years ago

0.0.134

2 years ago

0.0.133

2 years ago

0.0.132

2 years ago

0.0.131

2 years ago

0.0.129

2 years ago

0.0.130

2 years ago

0.0.128

2 years ago

0.0.127

2 years ago

0.0.126

2 years ago

0.0.125

2 years ago

0.0.124

2 years ago

0.0.123

2 years ago

0.0.122

2 years ago

0.0.121

2 years ago

0.0.120

2 years ago

0.0.119

2 years ago

0.0.118

2 years ago

0.0.117

2 years ago

0.0.116

2 years ago

0.0.115

2 years ago

0.0.114

2 years ago

0.0.113

2 years ago

0.0.112

2 years ago

0.0.111

2 years ago

0.0.106

2 years ago

0.0.105

2 years ago

0.0.104

2 years ago

0.0.103

2 years ago

0.0.109

2 years ago

0.0.108

2 years ago

0.0.107

2 years ago

0.0.102

2 years ago

0.0.101

2 years ago

0.0.100

2 years ago

0.0.85

3 years ago

0.0.86

3 years ago

0.0.87

3 years ago

0.0.88

3 years ago

0.0.89

3 years ago

0.0.80

3 years ago

0.0.81

3 years ago

0.0.82

3 years ago

0.0.83

3 years ago

0.0.73

3 years ago

0.0.74

3 years ago

0.0.75

3 years ago

0.0.76

3 years ago

0.0.77

3 years ago

0.0.78

3 years ago

0.0.79

3 years ago

0.0.70

3 years ago

0.0.71

3 years ago

0.0.62

3 years ago

0.0.63

3 years ago

0.0.64

3 years ago

0.0.65

3 years ago

0.0.66

3 years ago

0.0.67

3 years ago

0.0.68

3 years ago

0.0.69

3 years ago

0.0.60

3 years ago

0.0.61

3 years ago

0.0.59

3 years ago

0.0.51

3 years ago

0.0.52

3 years ago

0.0.53

3 years ago

0.0.54

3 years ago

0.0.55

3 years ago

0.0.56

3 years ago

0.0.57

3 years ago

0.0.58

3 years ago

0.0.110

2 years ago

0.0.95

3 years ago

0.0.96

2 years ago

0.0.97

2 years ago

0.0.98

2 years ago

0.0.99

2 years ago

0.0.90

3 years ago

0.0.91

3 years ago

0.0.92

3 years ago

0.0.93

3 years ago

0.0.94

3 years ago

0.0.47

3 years ago

0.0.50

3 years ago

0.0.48

3 years ago

0.0.49

3 years ago

0.0.40

3 years ago

0.0.41

3 years ago

0.0.42

3 years ago

0.0.43

3 years ago

0.0.44

3 years ago

0.0.45

3 years ago

0.0.46

3 years ago

0.0.37

3 years ago

0.0.38

3 years ago

0.0.39

3 years ago

0.0.32

3 years ago

0.0.33

3 years ago

0.0.34

3 years ago

0.0.35

3 years ago

0.0.36

3 years ago

0.0.30

3 years ago

0.0.31

3 years ago

0.0.26

3 years ago

0.0.27

3 years ago

0.0.28

3 years ago

0.0.29

3 years ago

0.0.24

3 years ago

0.0.25

3 years ago

0.0.22

3 years ago

0.0.23

3 years ago

0.0.20

3 years ago

0.0.21

3 years ago

0.0.15

3 years ago

0.0.16

3 years ago

0.0.17

3 years ago

0.0.18

3 years ago

0.0.19

3 years ago

0.0.10

3 years ago

0.0.11

3 years ago

0.0.12

3 years ago

0.0.13

3 years ago

0.0.14

3 years ago

0.0.9

3 years ago

0.0.8

3 years ago

0.0.7

3 years ago

0.0.6

3 years ago

0.0.3

4 years ago

0.0.5

3 years ago

0.0.4

3 years ago

0.0.2

4 years ago

0.0.1

4 years ago