├── .gitignore ├── LICENSE ├── README.md ├── dev ├── dev.clj └── user.clj ├── docs ├── _config.yml ├── css │ ├── default.css │ └── highlight.css ├── index.html ├── js │ ├── highlight.min.js │ ├── jquery.min.js │ └── page_effects.js ├── org.purefn.sqlium.html └── org.purefn.sqlium.import.html ├── project.clj └── src └── org └── purefn ├── sqlium.clj └── sqlium ├── dsl.clj ├── dsl ├── analyze.clj └── parse.clj ├── import.clj ├── sql.clj └── transform.clj /.gitignore: -------------------------------------------------------------------------------- 1 | /target 2 | /classes 3 | /checkouts 4 | pom.xml 5 | pom.xml.asc 6 | *.jar 7 | *.class 8 | /.lein-* 9 | /.nrepl-port 10 | .hgignore 11 | .hg/ 12 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | THE ACCOMPANYING PROGRAM IS PROVIDED UNDER THE TERMS OF THIS ECLIPSE PUBLIC 2 | LICENSE ("AGREEMENT"). 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No party to this 212 | Agreement will bring a legal action under this Agreement more than one year 213 | after the cause of action arose. Each party waives its rights to a jury trial 214 | in any resulting litigation. 215 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # sqlium 2 | 3 | A Datomic-inspired Clojure library for entity extraction (Big E in ETL) from a 4 | relational database. 5 | 6 | ## Rationale 7 | 8 | ### The Rectangular Prison 9 | 10 | Give credit where credit is due: the relational algebra is pretty 11 | great. It's solid, relatively easy to reason about, and we've put 50 12 | years and billions of dollars of engineering effort into making good 13 | relational database implementations. 14 | 15 | The relational model's great strength is in its unifying abstraction, 16 | the relation. Basically a table with named columns. This is also its 17 | great weakness: everything is a table. Your data is a table, and the 18 | answer to any question you ask the database will be a table; a 19 | rectangular prison that you cannot escape. 20 | 21 | The pervasive rectangleness of relational data is somewhat 22 | inconvenient for us as Clojure developers, since most interesting data 23 | that we work with is tree-shaped, not rectangle-shaped. It's so easy 24 | and natural for us to create and work with nested data structures, and 25 | they are often the most natural representation of the data models we 26 | work with. 27 | 28 | For example, we'll say we have a database of music recordings, and 29 | we're interested in albums. An album has one or more album artists - 30 | which could be bands that have one or more members - and one or more 31 | tracks each of which has properties including one or more artists, 32 | possibly one or more songwriters, possibly one or more producers, etc. 33 | 34 | The natural representation of this kind of data for us is something 35 | like: 36 | 37 | ``` clojure 38 | {:name "Abbey Road" 39 | :artist [{:name "The Beatles"}] 40 | :tracks [{:name "Come Together" 41 | :number 1 42 | :artist [{:name "The Beatles"}] 43 | :songwriter [{:name "John Lennon"} 44 | {:name "Paul McCartney"}] 45 | :producer [{:name "George Martin"}]} 46 | {:name "Something" 47 | :number 2 48 | :artist [{:name "The Beatles"}] 49 | :songwriter [{:name "George Harrison"}] 50 | ...} 51 | ... etc 52 | ]} 53 | ``` 54 | 55 | But me tell you what, it sure is annoying to get to this point if 56 | you're starting from a relational database. Because, again, it's the 57 | rectangles. Whenever you're dealing with nested zero-or-more things, 58 | you can't get it all at once. You have to do a bunch of queries to get 59 | little rectangular pieces and then stitch them together into a tree 60 | yourself. 61 | 62 | A typical way to model this in a relational database might have the 63 | following tables: 64 | 65 | - albums 66 | - artists 67 | - album_artists 68 | - tracks 69 | - album_tracks 70 | - track_artists 71 | - track_songwriters 72 | - track_producers 73 | 74 | To get "Abbey Road", we'd need to do the following queries: 75 | 76 | 1. query the albums table 77 | 2. query the album_artists table to get our list of album artists 78 | 3. query the album_tracks table joined with the tracks table to get 79 | the tracks 80 | 4. query the track_artists table with all the track ids 81 | 5. query the track_songwriters table with all the track ids 82 | 6. query the track_producers table with all the track ids 83 | 7. collect all the artist ids from the above results and get them all 84 | from the artists table 85 | 86 | After doing all these queries, we need take the data we get back and 87 | put it together in our application with code that understands each 88 | relationhsip and how it goes into the output. 89 | 90 | While it's true that there are "ORM" tools that let you do this 91 | without writing all the code yourself, let's just say it's a matter of 92 | some controversy whether they deliver on their promises or 93 | meaningfully improve the experience of building systems. 94 | 95 | ### Ideas From DJ Decomplexion 96 | 97 | Fortunately we have our own approach to databases called Datomic, 98 | designed by our very own DJ Decomplexion Rich Hickey. Datomic's 99 | approach to entities is much closer to how we treat them in our 100 | application code, and it includes a great little interface called 101 | "Pull API" for, well, pulling them out. 102 | 103 | In Pull syntax, we can grab our entire album entity with one call, 104 | using a declarative system for describing the entity and its nested 105 | pieces. It might look something like this: 106 | 107 | ``` clojure 108 | [:album/name 109 | {:album/artist [:artist/name]} 110 | {:album/track 111 | [:track/name :track/number 112 | {:track/artist [:artist/name]} 113 | {:track/songwriter [:artist/name]} 114 | {:track/producer [:artist/name]}]}] 115 | ``` 116 | 117 | It's fantastically shorter, simpler, clearer, more direct. What if we 118 | could do something like with in a relational database? 119 | 120 | sqlium provides a DSL to do just that. 121 | 122 | ## sqlium DSL 123 | 124 | In sqlium, the equivalent to the above Pull syntax example to get the 125 | contents of an album might look like this: 126 | 127 | ``` clojure 128 | (Table albums 129 | :id "album_id" 130 | :fields "name" 131 | {["_album_id" :as "artists"] 132 | (Table album_artists 133 | :id "album_artist_id" 134 | :fields 135 | {["artist_id" :flatten] 136 | (Table artists 137 | :id "artist_id" 138 | :fields "name")})} 139 | {["_album_id" :as "tracks" 140 | (Table album_tracks 141 | :id "album_track_id" 142 | :fields 143 | {["track_id" :flatten] 144 | (Table tracks 145 | :id "track_id" 146 | :fields "name" "number" 147 | {["_track_id" :as "artists"] 148 | (Table track_artists 149 | :id "track_artist_id" 150 | :fields 151 | {["artist_id" :flatten] 152 | (Table artists 153 | :id "artist_id" 154 | :fields "name")})} 155 | {["_track_id" :as "songwriters"] 156 | (Table track_songwriters 157 | :id "track_songwriter_id" 158 | :fields 159 | {["artist_id" :flatten] 160 | (Table artists 161 | :id "artist_id" 162 | :fields "name")})} 163 | {["_track_id" :as "producers"] 164 | (Table track_producers 165 | :id "track_producer_id" 166 | :fields 167 | {["artist_id" :flatten] 168 | (Table artists 169 | :id "artist_id" 170 | :fields "name")})})})]}) 171 | ``` 172 | 173 | Here's a piece-by-piece explanation of the syntax. 174 | 175 | ### Table spec 176 | 177 | This is the basic building block of sqlium's DSL. It describes some 178 | basic information about a databse table, the data that we're 179 | interested in from the table, and relationships with other tables that 180 | we are interested in. 181 | 182 | ```clojure 183 | (Table name id-spec? :fields data-spec+) 184 | ``` 185 | 186 | The table's name is a symbol, which should match the name of the table 187 | in the database. 188 | 189 | sqlium uses the idea of identity (aka primary key) columns throughout, 190 | specified in the id-spec. This is optional because it has a default 191 | value of `_id`. If your database uses a different naming 192 | convention or otherwise has custom names for identiy columns, then you 193 | need to provide it for each table. 194 | 195 | An id-spec looks like: `:id "id-column-name"`. 196 | 197 | ### Data specs 198 | 199 | A data spec is either a field or a relationship. 200 | 201 | #### Fields 202 | 203 | Fields describe the data columns from the table that you're interested 204 | in. They come in two forms. Simple field specs are just strings that 205 | match the name of the column in the table. No transformations will be 206 | applied to the column name or the data for simple field specs - the 207 | name will be keywordified in the output map but otherwise will be 208 | returned verbatim. 209 | 210 | You can also specify several options in a complex field spec. It looks like: 211 | 212 | ```clojure 213 | [col-name alias? transform?] 214 | ``` 215 | 216 | Aliasing sets the key name in the output map for a given field. Alias 217 | is specified with an :as keyword and a string alias name. For example, 218 | `["oldname" :as "newname"]` will add a `:newname` key to the output 219 | map with the contents of the "oldname" column. Nested aliases are also 220 | supported using a "." separator. For example, `["oldname" :as 221 | "new.name"]` will nest the value of the "oldname" column as in 222 | `(assoc-in output-map [:new :name] oldname-val)`. 223 | 224 | sqlium supports a number of simple data transforms. A transform can be 225 | either a function literal or reference to a symbol that's in scope for 226 | the `org.purefn.sqlium.transform` namespace. This namespace includes a 227 | built-in transform called `binary-string` which handles UTF-8 strings 228 | encoded as BLOB/binary in the database. The clojure.set namespace is 229 | also available as `set`, and the clojure.string namespace is available 230 | as `str`. 231 | 232 | Using code from your own namespaces in sqlium transforms is not 233 | supported at this time. Generally sqlium transforms are meant to be 234 | for quite simple typecasts, filtering, or replacement operations, and 235 | for more involved transformations you should generally perform them on 236 | the returned entity. 237 | 238 | nil values will not be added to the output. 239 | 240 | #### Relationships 241 | 242 | A relationship is how nested tables are added to an entity - aka a 243 | "join". 244 | 245 | sqlium understands two types of relationships: one-to-one, and one-to-many. 246 | 247 | A one-to-one relationship is one in which the some column in the 248 | parent table points to the id column of the child table. Since sqlium 249 | assumes that id columns are unique, there will only be one row in the 250 | child table for the relationship. If an id column in a one-to-one 251 | relatinship is not unique, you'll get a cartesian product and multiple 252 | entities will be returned. 253 | 254 | A one-to-many relationship is one in which some column in the child 255 | table points to the id column of the parent table. These will always 256 | be returned as collections. 257 | 258 | Relationships are specified as maps with one key, in this form: 259 | 260 | ```clojure 261 | {join-spec table-spec} 262 | ``` 263 | 264 | A `join-spec` is has two different forms, for one-to-one and 265 | one-to-many joins. 266 | 267 | One-to-one: 268 | 269 | ```clojure 270 | [foreign-key flatten-or-alias?] 271 | ``` 272 | 273 | The `foreign-key` for a one-to-one relationship is the name of the 274 | column in the parent table. One-to-one relationships can also be 275 | flattened with a `:flatten` keyword, which means that the data from 276 | the child table will be merged up into the parent table. Otherwise, 277 | you can specify the key that data from the relationship will be 278 | returned in with an `:as` keyword, just like in a field spec. If no 279 | alias is specified, the data will be returned in the keyword form of 280 | the foreign key name. 281 | 282 | One-to-many: 283 | 284 | ```clojure 285 | [foreign-key alias?] 286 | ``` 287 | 288 | In a one-to-many relationship, the foreign key is prefixed by an 289 | underscore, denoting that it's a column in the child table. This was 290 | borrowed from Datomic's syntax for specifying reverse references, 291 | which is the best defense I can offer against people who don't know 292 | Datomic and don't understand why an underscore would be used for this 293 | purpose. 294 | 295 | Optionally, an alias can be supplied. You probably want to supply an 296 | alias in almost every case, because otherwise the data will be 297 | returned in a `_{parent-id}` key which is pretty strange looking. 298 | 299 | ## Usage 300 | 301 | [API Docs](https://purefnorg.github.io/sqlium/) 302 | 303 | The two main API functions are in the org.purefn.sqlium namespace. 304 | 305 | ```clj 306 | (require '[org.purefn.sqlium :as sqlium]) 307 | ``` 308 | 309 | You can retrieve a single entity with the `entity` function. This is 310 | particularly useful for development and occasional production use - 311 | although it's not lightning fast. (Performance improvements coming!) 312 | 313 | ```clj 314 | ;; simple album spec with the album name and artist names 315 | (def album-spec 316 | ;; specs are quoted 317 | '(Table albums 318 | :id "album_id" 319 | :fields "name" 320 | {["_album_id" :as "artists"] 321 | (Table album_artists 322 | :id "album_artist_id" 323 | :fields 324 | {["artist_id" :flatten] 325 | (Table artists 326 | :id "artist_id" 327 | :fields "name")})})) 328 | 329 | ;; sqlium takes anything that clojure.java.jdbc can use as a database 330 | (def db 331 | {:dbtype "mysql" 332 | :dbname "music" 333 | :user "sqlium" 334 | :password "sqlium"}) 335 | 336 | ;; assuming database id of "Abbey Road" is 12 337 | (sqlium/entity db album-spec 12) 338 | ;; => 339 | ;; {:name "Abbey Road" 340 | ;; :artists [{:name "John"} 341 | ;; {:name "Paul"} 342 | ;; {:name "George"} 343 | ;; {:name "Ringo"}]} 344 | ``` 345 | 346 | The main use case for sqlium is extracting a lot of entities, done 347 | through the `records` function. It takes a database, spec, and some 348 | options to control what entities get returned. There are three 349 | different ways to do this. 350 | 351 | 1. Entity age 352 | 2. Entities with updates 353 | 3. A table with rows pointing to records to get updated. 354 | 355 | Here's what the docstring says about it: 356 | 357 | ```clj 358 | (defn records 359 | "Returns a lazy sequence of records for spec, querying from jdbc 360 | datasource db. Takes optional parameters as kwargs or a map to 361 | either control expiry, return updated data since a given date by 362 | comparing against provided date time fields, or return updated data 363 | based on a specific update table. Only the highest-precedence 364 | option present will be used. In order of precedence: 365 | 366 | :update - a map with: 367 | * :table string name of the update table 368 | * :id string name of the column containing entity ids to update 369 | * :updated string name of the field containing the entity update time 370 | * :date anything that can be coerced to a DateTime; the records 371 | returned will be newer than this date 372 | 373 | :delta - a map with: 374 | * :fields collection of :table/column datetime fields which will 375 | be compared with :date to detect updated data 376 | * :date anything that can be coerced to a DateTime; the records 377 | returned will be newer than this date 378 | 379 | :expiry - a map with: 380 | * :field :table/column keyword for the datetime field that 381 | determines the age of the entity 382 | * :age maximum age before the entity is ignored, either as an 383 | integer number of days or an expiration date as something 384 | that can be coerced to a DateTime" 385 | [db spec & options] 386 | ) 387 | ``` 388 | 389 | ## License 390 | 391 | Copyright © 2018 Ladders, PureFn 392 | 393 | Distributed under the Eclipse Public License either version 1.0 or (at 394 | your option) any later version. 395 | -------------------------------------------------------------------------------- /dev/dev.clj: -------------------------------------------------------------------------------- 1 | (ns dev 2 | (:require [clojure.java.io :as io] 3 | [clojure.java.jdbc :as jdbc] 4 | [clojure.pprint :refer (pprint)] 5 | [clojure.repl :refer :all] 6 | [clojure.set :as set] 7 | [clojure.string :as str] 8 | [clojure.tools.namespace.repl :refer :all] 9 | 10 | [org.purefn.sqlium :as sqlium])) 11 | -------------------------------------------------------------------------------- /dev/user.clj: -------------------------------------------------------------------------------- 1 | (ns user 2 | (:require [clojure.tools.namespace.repl :refer :all])) 3 | 4 | (defn dev 5 | [] 6 | (require 'dev :reload) 7 | (in-ns 'dev)) 8 | -------------------------------------------------------------------------------- /docs/_config.yml: -------------------------------------------------------------------------------- 1 | theme: jekyll-theme-cayman -------------------------------------------------------------------------------- /docs/css/default.css: -------------------------------------------------------------------------------- 1 | body { 2 | font-family: Helvetica, Arial, sans-serif; 3 | font-size: 15px; 4 | } 5 | 6 | pre, code { 7 | font-family: Monaco, DejaVu Sans Mono, Consolas, monospace; 8 | font-size: 9pt; 9 | margin: 15px 0; 10 | } 11 | 12 | h1 { 13 | font-weight: normal; 14 | font-size: 29px; 15 | margin: 10px 0 2px 0; 16 | padding: 0; 17 | } 18 | 19 | h2 { 20 | font-weight: normal; 21 | font-size: 25px; 22 | } 23 | 24 | h5.license { 25 | margin: 9px 0 22px 0; 26 | color: #555; 27 | font-weight: normal; 28 | font-size: 12px; 29 | font-style: italic; 30 | } 31 | 32 | .document h1, .namespace-index h1 { 33 | font-size: 32px; 34 | margin-top: 12px; 35 | } 36 | 37 | #header, #content, .sidebar { 38 | position: fixed; 39 | } 40 | 41 | #header { 42 | top: 0; 43 | left: 0; 44 | right: 0; 45 | height: 22px; 46 | color: #f5f5f5; 47 | padding: 5px 7px; 48 | } 49 | 50 | #content { 51 | top: 32px; 52 | right: 0; 53 | bottom: 0; 54 | overflow: auto; 55 | background: #fff; 56 | color: #333; 57 | padding: 0 18px; 58 | } 59 | 60 | .sidebar { 61 | position: fixed; 62 | top: 32px; 63 | bottom: 0; 64 | overflow: auto; 65 | } 66 | 67 | .sidebar.primary { 68 | background: #e2e2e2; 69 | border-right: solid 1px #cccccc; 70 | left: 0; 71 | width: 250px; 72 | } 73 | 74 | .sidebar.secondary { 75 | background: #f2f2f2; 76 | border-right: solid 1px #d7d7d7; 77 | left: 251px; 78 | width: 200px; 79 | } 80 | 81 | #content.namespace-index, #content.document { 82 | left: 251px; 83 | } 84 | 85 | #content.namespace-docs { 86 | left: 452px; 87 | } 88 | 89 | #content.document { 90 | padding-bottom: 10%; 91 | } 92 | 93 | #header { 94 | background: #3f3f3f; 95 | box-shadow: 0 0 8px rgba(0, 0, 0, 0.4); 96 | z-index: 100; 97 | } 98 | 99 | #header h1 { 100 | margin: 0; 101 | padding: 0; 102 | font-size: 18px; 103 | font-weight: lighter; 104 | text-shadow: -1px -1px 0px #333; 105 | } 106 | 107 | #header h1 .project-version { 108 | font-weight: normal; 109 | } 110 | 111 | .project-version { 112 | padding-left: 0.15em; 113 | } 114 | 115 | #header a, .sidebar a { 116 | display: block; 117 | text-decoration: none; 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508 | margin: 0 10px; 509 | } 510 | 511 | .doc table td, .doc table th { 512 | border: 1px solid #dddddd; 513 | padding: 4px 6px; 514 | } 515 | 516 | .doc table th { 517 | background: #f2f2f2; 518 | } 519 | 520 | .doc dl { 521 | margin: 0 10px 20px 10px; 522 | } 523 | 524 | .doc dl dt { 525 | font-weight: bold; 526 | margin: 0; 527 | padding: 3px 0; 528 | border-bottom: 1px solid #ddd; 529 | } 530 | 531 | .doc dl dd { 532 | padding: 5px 0; 533 | margin: 0 0 5px 10px; 534 | } 535 | 536 | .doc abbr { 537 | border-bottom: 1px dotted #333; 538 | font-variant: none; 539 | cursor: help; 540 | } 541 | 542 | .src-link { 543 | margin-bottom: 15px; 544 | } 545 | 546 | .src-link a { 547 | font-size: 70%; 548 | padding: 1px 4px; 549 | text-decoration: none; 550 | color: #5555bb; 551 | } 552 | -------------------------------------------------------------------------------- /docs/css/highlight.css: -------------------------------------------------------------------------------- 1 | /* 2 | github.com style (c) Vasily Polovnyov 3 | */ 4 | 5 | .hljs { 6 | display: block; 7 | overflow-x: auto; 8 | padding: 0.5em; 9 | color: #333; 10 | background: #f8f8f8; 11 | } 12 | 13 | .hljs-comment, 14 | .hljs-quote { 15 | color: #998; 16 | font-style: italic; 17 | } 18 | 19 | .hljs-keyword, 20 | .hljs-selector-tag, 21 | .hljs-subst { 22 | color: #333; 23 | font-weight: bold; 24 | } 25 | 26 | .hljs-number, 27 | .hljs-literal, 28 | .hljs-variable, 29 | .hljs-template-variable, 30 | .hljs-tag .hljs-attr { 31 | color: #008080; 32 | } 33 | 34 | .hljs-string, 35 | .hljs-doctag { 36 | color: #d14; 37 | } 38 | 39 | .hljs-title, 40 | .hljs-section, 41 | .hljs-selector-id { 42 | color: #900; 43 | font-weight: bold; 44 | } 45 | 46 | .hljs-subst { 47 | font-weight: normal; 48 | } 49 | 50 | .hljs-type, 51 | .hljs-class .hljs-title { 52 | color: #458; 53 | font-weight: bold; 54 | } 55 | 56 | .hljs-tag, 57 | .hljs-name, 58 | .hljs-attribute { 59 | color: #000080; 60 | font-weight: normal; 61 | } 62 | 63 | .hljs-regexp, 64 | .hljs-link { 65 | color: #009926; 66 | } 67 | 68 | .hljs-symbol, 69 | .hljs-bullet { 70 | color: #990073; 71 | } 72 | 73 | .hljs-built_in, 74 | .hljs-builtin-name { 75 | color: #0086b3; 76 | } 77 | 78 | .hljs-meta { 79 | color: #999; 80 | font-weight: bold; 81 | } 82 | 83 | .hljs-deletion { 84 | background: #fdd; 85 | } 86 | 87 | .hljs-addition { 88 | background: #dfd; 89 | } 90 | 91 | .hljs-emphasis { 92 | font-style: italic; 93 | } 94 | 95 | .hljs-strong { 96 | font-weight: bold; 97 | } 98 | -------------------------------------------------------------------------------- /docs/index.html: -------------------------------------------------------------------------------- 1 | 3 | Sqlium 0.1.3-SNAPSHOT

Project

Namespaces

Sqlium 0.1.3-SNAPSHOT

Released under the Eclipse Public License

A flexible, Datomic-inspired, config-driven Extraction system (big E in ETL).

Installation

To install, add the following dependency to your project or build file:

[org.purefn/sqlium "0.1.3-SNAPSHOT"]

Namespaces

org.purefn.sqlium

A flexible, config-driven, Datomic-inspired entity extraction
4 | system. sqlium provides a declarative DSL to describe entities
5 | stored in a relational database - particularly those that are
6 | composed of many tables with nested relationships - and mechanisms
7 | to read and transform them into Clojure datastructures.

Public variables and functions:

org.purefn.sqlium.import

Public variables and functions:



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