diff --git a/docs/api/index.md b/docs/api/index.md
index c6102d7..ea4a16e 100644
--- a/docs/api/index.md
+++ b/docs/api/index.md
@@ -9,8 +9,6 @@ title: Arquero API Reference
* [table](#table), [from](#from), [fromArrow](#fromArrow), [fromCSV](#fromCSV), [fromFixed](#fromFixed), [fromJSON](#fromJSON)
* [Table Input](#input)
* [load](#load), [loadArrow](#loadArrow), [loadCSV](#loadCSV), [loadFixed](#loadFixed), [loadJSON](#loadJSON)
-* [Table Output](#output)
- * [toArrow](#toArrow), [toArrowIPC](#toArrowIPC)
* [Expression Helpers](#expression-helpers)
* [op](#op), [agg](#agg), [escape](#escape)
* [bin](#bin), [desc](#desc), [frac](#frac), [rolling](#rolling), [seed](#seed)
@@ -99,10 +97,12 @@ This method performs parsing only. To both load and parse an Arrow file, use [lo
* *arrowTable*: A byte array (e.g., [ArrayBuffer](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/ArrayBuffer) or [Uint8Array](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Uint8Array)) in the Arrow IPC format or a [Flechette](https://github.com/uwdata/flechette) or [Apache Arrow JS](https://arrow.apache.org/docs/js/) table instance.
* *options*: An Arrow import options object:
- * *columns*: An ordered set of columns to import. The input may consist of: column name strings, column integer indices, objects with current column names as keys and new column names as values (for renaming), or a selection helper function such as [all](#all), [not](#not), or [range](#range)).
+ * *columns*: An ordered set of columns to import. The input may consist of: column name strings, column integer indices, objects with current column names as keys and new column names as values (for renaming), or a selection helper function such as [all](#all), [not](#not), or [range](#range).
+ * *useBigInt*: Boolean flag (default `false`) to extract 64-bit integer types as JavaScript `BigInt` values. For Flechette tables, the default is to coerce 64-bit integers to JavaScript numbers and raise an error if the number is out of range. This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
* *useDate*: Boolean flag (default `true`) to convert Arrow date and timestamp values to JavaScript Date objects. Otherwise, numeric timestamps are used. This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
- * *useBigInt*: Boolean flag (default `false`) to represent Arrow 64-bit integers as JavaScript `BigInt` values. For Flechette tables, the default is to coerce 64-bit integers to JavaScript numbers. This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
+ * *useDecimalBigInt*: Boolean flag (default `false`) to extract Arrow decimal-type data as BigInt values, where fractional digits are scaled to integers. Otherwise, decimals are (sometimes lossily) converted to floating-point numbers (default). This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
* *useMap*: Boolean flag (default `false`) to represent Arrow Map data as JavaScript `Map` values. For Flechette tables, the default is to produce an array of `[key, value]` arrays. This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
+ * *useProxy*: Boolean flag (default `false`) to extract Arrow Struct values and table row objects using zero-copy proxy objects that extract data from underlying Arrow batches. The proxy objects can improve performance and reduce memory usage, but do not support property enumeration (`Object.keys`, `Object.values`, `Object.entries`) or spreading (`{ ...object }`). This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
*Examples*
@@ -313,7 +313,7 @@ const dt = await aq.load('data/table.json', { as: 'json', using: aq.from })
#
aq.loadArrow(url[, options]) · [Source](https://github.com/uwdata/arquero/blob/master/src/format/load-file.js)
-Load a file in the [Apache Arrow](https://arrow.apache.org/docs/js/) IPC format from a *url* and return a Promise for a table.
+Load a file in the [Apache Arrow](https://arrow.apache.org/overview/) IPC binary format from a *url* and return a Promise for a table.
This method performs both loading and parsing, and is equivalent to `aq.load(url, { as: 'arrayBuffer', using: aq.fromArrow })`. To instead create an Arquero table for an Apache Arrow dataset that has already been loaded, use [fromArrow](#fromArrow).
@@ -404,110 +404,6 @@ const dt = await aq.loadJSON('data/table.json', { autoType: false })
-## Table Output
-
-Methods for writing data to an output format. Most output methods are available as [table methods](table#output), in addition to the top level namespace.
-
-
#
-aq.toArrow(data[, options]) · [Source](https://github.com/uwdata/arquero/blob/master/src/arrow/to-arrow.js)
-
-Create an [Apache Arrow](https://arrow.apache.org/docs/js/) table for the input *data*. The input data can be either an [Arquero table](#table) or an array of standard JavaScript objects. This method will throw an error if type inference fails or if the generated columns have differing lengths. For Arquero tables, this method can instead be invoked as [table.toArrow()](table#toArrow).
-
-* *data*: An input dataset to convert to Arrow format. If array-valued, the data should consist of an array of objects where each entry represents a row and named properties represent columns. Otherwise, the input data should be an [Arquero table](#table).
-* *options*: Options for Arrow encoding.
- * *columns*: Ordered list of column names to include. If function-valued, the function should accept the input *data* as a single argument and return an array of column name strings.
- * *limit*: The maximum number of rows to include (default `Infinity`).
- * *offset*: The row offset indicating how many initial rows to skip (default `0`).
- * *types*: An optional object indicating the [Arrow data type](https://arrow.apache.org/docs/js/enums/Arrow_dom.Type.html) to use for named columns. If specified, the input should be an object with column names for keys and Arrow data types for values. If a column's data type is not explicitly provided, type inference will be performed.
-
- Type values can either be instantiated Arrow [DataType](https://arrow.apache.org/docs/js/classes/Arrow_dom.DataType.html) instances (for example, `new Float64()`,`new DateMilliseconds()`, *etc.*) or type enum codes (`Type.Float64`, `Type.Date`, `Type.Dictionary`). High-level types map to specific data type instances as follows:
-
- * `Type.Date` → `new DateMilliseconds()`
- * `Type.Dictionary` → `new Dictionary(new Utf8(), new Int32())`
- * `Type.Float` → `new Float64()`
- * `Type.Int` → `new Int32()`
- * `Type.Interval` → `new IntervalYearMonth()`
- * `Type.Time` → `new TimeMillisecond()`
-
- Types that require additional parameters (including `List`, `Struct`, and `Timestamp`) can not be specified using type codes. Instead, use data type constructors from apache-arrow, such as `new List(new Int32())`.
-
-*Examples*
-
-Encode Arrow data from an input Arquero table:
-
-```js
-import { table, toArrow } from 'arquero';
-import { Type } from 'apache-arrow';
-
-// create Arquero table
-const dt = table({
- x: [1, 2, 3, 4, 5],
- y: [3.4, 1.6, 5.4, 7.1, 2.9]
-});
-
-// encode as an Arrow table (infer data types)
-// here, infers Uint8 for 'x' and Float64 for 'y'
-// equivalent to dt.toArrow()
-const at1 = toArrow(dt);
-
-// encode into Arrow table (set explicit data types)
-// equivalent to dt.toArrow({ types: { ... } })
-const at2 = toArrow(dt, {
- types: {
- x: Type.Uint16,
- y: Type.Float32
- }
-});
-
-// serialize Arrow table to a transferable byte array
-const bytes = at1.serialize();
-```
-
-Encode Arrow data from an input object array:
-
-```js
-import { toArrow } from 'arquero';
-
-// encode object array as an Arrow table (infer data types)
-const at = toArrow([
- { x: 1, y: 3.4 },
- { x: 2, y: 1.6 },
- { x: 3, y: 5.4 },
- { x: 4, y: 7.1 },
- { x: 5, y: 2.9 }
-]);
-```
-
-
#
-table.toArrowBuffer(data[, options]) · [Source](https://github.com/uwdata/arquero/blob/master/src/arrow/to-arrow-ipc.js)
-
-Format input data in the binary [Apache Arrow](https://arrow.apache.org/docs/js/) IPC format. The input data can be either an [Arquero table](#table) or an array of standard JavaScript objects. This method will throw an error if type inference fails or if the generated columns have differing lengths. For Arquero tables, this method can instead be invoked as [table.toArrowIPC()](table#toArrowIPC).
-
-The resulting binary data may be saved to disk or passed between processes or tools. For example, when using [Web Workers](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Using_web_workers), the output of this method can be passed directly between threads (no data copy) as a [Transferable](https://developer.mozilla.org/en-US/docs/Web/API/Transferable) object. Additionally, Arrow binary data can be loaded in other language environments such as [Python](https://arrow.apache.org/docs/python/) or [R](https://arrow.apache.org/docs/r/).
-
-This method will throw an error if type inference fails or if the generated columns have differing lengths.
-
-* *options*: Options for Arrow encoding, same as [toArrow](#toArrow) but with an additional *format* option.
- * *format*: The Arrow IPC byte format to use. One of `'stream'` (default) or `'file'`.
-
-*Examples*
-
-Encode Arrow data from an input Arquero table:
-
-```js
-import { table, toArrowIPC } from 'arquero';
-
-const dt = table({
- x: [1, 2, 3, 4, 5],
- y: [3.4, 1.6, 5.4, 7.1, 2.9]
-});
-
-// encode table as a transferable Arrow byte buffer
-// here, infers Uint8 for 'x' and Float64 for 'y'
-const bytes = toArrowIPC(dt);
-```
-
-
## Expression Helpers
diff --git a/docs/api/table.md b/docs/api/table.md
index 182f2b8..4d6f77d 100644
--- a/docs/api/table.md
+++ b/docs/api/table.md
@@ -573,32 +573,26 @@ aq.table({ a: [1, 2, 3], b: [4, 5, 6] }).toMarkdown()
#
table.toArrow([options]) · [Source](https://github.com/uwdata/arquero/blob/master/src/arrow/encode/index.js)
-Format this table as an [Apache Arrow](https://arrow.apache.org/docs/js/) table instance. This method will throw an error if type inference fails or if the generated columns have differing lengths.
+Format this table as an [Apache Arrow](https://arrow.apache.org/overview/) table instance using [Flechette](https://idl.uw.edu/flechette/). This method will throw an error if type inference fails or if the generated columns have differing lengths.
* *options*: Options for Arrow encoding.
* *columns*: Ordered list of column names to include. If function-valued, the function should accept this table as a single argument and return an array of column name strings.
* *limit*: The maximum number of rows to include (default `Infinity`).
* *offset*: The row offset indicating how many initial rows to skip (default `0`).
- * *types*: An optional object indicating the [Arrow data type](https://arrow.apache.org/docs/js/enums/Arrow_dom.Type.html) to use for named columns. If specified, the input should be an object with column names for keys and Arrow data types for values. If a column's data type is not explicitly provided, type inference will be performed.
-
- Type values can either be instantiated Arrow [DataType](https://arrow.apache.org/docs/js/classes/Arrow_dom.DataType.html) instances (for example, `new Float64()`,`new DateMilliseconds()`, *etc.*) or type enum codes (`Type.Float64`, `Type.Date`, `Type.Dictionary`). High-level types map to specific data type instances as follows:
-
- * `Type.Date` → `new DateMilliseconds()`
- * `Type.Dictionary` → `new Dictionary(new Utf8(), new Int32())`
- * `Type.Float` → `new Float64()`
- * `Type.Int` → `new Int32()`
- * `Type.Interval` → `new IntervalYearMonth()`
- * `Type.Time` → `new TimeMillisecond()`
-
- Types that require additional parameters (including `List`, `Struct`, and `Timestamp`) can not be specified using type codes. Instead, use data type constructors from apache-arrow, such as `new List(new Int32())`.
+ * *types*: An optional object indicating the [Arrow data type](https://idl.uw.edu/flechette/api/data-types) to use for named columns. If specified, the input should be an object with column names for keys and Arrow data types for values. Type values must be instantiated Flechette [DataType](https://idl.uw.edu/flechette/api/data-types) instances (for example, `float64()`,`dateDay()`, `list(int32())` *etc.*). If a column's data type is not explicitly provided, type inference will be performed.
+ * *useBigInt*: Boolean flag (default `false`) to extract 64-bit integer types as JavaScript `BigInt` values. For Flechette tables, the default is to coerce 64-bit integers to JavaScript numbers and raise an error if the number is out of range. This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
+ * *useDecimalBigInt*: Boolean flag (default `false`) to extract Arrow decimal-type data as BigInt values, where fractional digits are scaled to integers. Otherwise, decimals are (sometimes lossily) converted to floating-point numbers (default). This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
+ * *useDate*: Boolean flag (default `true`) to convert Arrow date and timestamp values to JavaScript Date objects. Otherwise, numeric timestamps are used. This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
+ * *useMap*: Boolean flag (default `false`) to represent Arrow Map data as JavaScript `Map` values. For Flechette tables, the default is to produce an array of `[key, value]` arrays. This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
+ * *useProxy*: Boolean flag (default `false`) to extract Arrow Struct values and table row objects using zero-copy proxy objects that extract data from underlying Arrow batches. The proxy objects can improve performance and reduce memory usage, but do not support property enumeration (`Object.keys`, `Object.values`, `Object.entries`) or spreading (`{ ...object }`). This option is only applied when parsing IPC binary data, otherwise the settings of the provided table instance are used.
*Examples*
Encode Arrow data from an input Arquero table:
```js
+import { float32, uint16 } from '@uwdata/flechette';
import { table } from 'arquero';
-import { Type } from 'apache-arrow';
// create Arquero table
const dt = table({
@@ -613,8 +607,8 @@ const at1 = dt.toArrow();
// encode into Arrow table (set explicit data types)
const at2 = dt.toArrow({
types: {
- x: Type.Uint16,
- y: Type.Float32
+ x: uint16(),
+ y: float32()
}
});
```
@@ -622,12 +616,12 @@ const at2 = dt.toArrow({
#
table.toArrowBuffer([options]) · [Source](https://github.com/uwdata/arquero/blob/master/src/arrow/encode/index.js)
-Format this table as binary data in the [Apache Arrow](https://arrow.apache.org/docs/js/) IPC format. The binary data may be saved to disk or passed between processes or tools. For example, when using [Web Workers](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Using_web_workers), the output of this method can be passed directly between threads (no data copy) as a [Transferable](https://developer.mozilla.org/en-US/docs/Web/API/Transferable) object. Additionally, Arrow binary data can be loaded in other language environments such as [Python](https://arrow.apache.org/docs/python/) or [R](https://arrow.apache.org/docs/r/).
+Format this table as binary data in the [Apache Arrow](https://arrow.apache.org/overview/) IPC format using [Flechette](https://idl.uw.edu/flechette/). The binary data may be saved to disk or passed between processes or tools. For example, when using [Web Workers](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Using_web_workers), the output of this method can be passed directly between threads (no data copy) as a [Transferable](https://developer.mozilla.org/en-US/docs/Web/API/Transferable) object. Additionally, Arrow binary data can be loaded in other language environments such as [Python](https://arrow.apache.org/docs/python/) or [R](https://arrow.apache.org/docs/r/).
This method will throw an error if type inference fails or if the generated columns have differing lengths.
* *options*: Options for Arrow encoding, same as [toArrow](#toArrow) but with an additional *format* option.
- * *format*: The Arrow IPC byte format to use. One of `'stream'` (default) or `'file'`.
+ * *format*: The Arrow IPC byte format to use. One of `'stream'` (default) or `'file'`. For more details on these formats, see the [Apache Arrow format documentation](https://arrow.apache.org/docs/format/Columnar.html#ipc-streaming-format).
*Examples*
diff --git a/docs/index.md b/docs/index.md
index 1931522..148fc39 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -80,12 +80,7 @@ To use in the browser, you can load Arquero from a content delivery network:
```
-Arquero will be imported into the `aq` global object. The default browser bundle does not include the [Apache Arrow](https://arrow.apache.org/) library. To perform Arrow encoding using [toArrow()](api/#toArrow) or binary file loading using [loadArrow()](api/#loadArrow), import Apache Arrow first:
-
-```html
-
-
-```
+Arquero will be imported into the `aq` global object. The default browser bundle also includes the [Flechette](https://idl.uw.edu/flechette/) library for processing [Apache Arrow](https://arrow.apache.org/overview/) data.
Alternatively, you can build and import `arquero.min.js` from the `dist` directory, or build your own application bundle. When building custom application bundles for the browser, the module bundler should draw from the `browser` property of Arquero's `package.json` file. For example, if using [rollup](https://rollupjs.org/), pass the `browser: true` option to the [node-resolve](https://github.com/rollup/plugins/tree/master/packages/node-resolve) plugin.
diff --git a/package-lock.json b/package-lock.json
index 54aa9fe..028b73e 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -9,33 +9,21 @@
"version": "6.0.1",
"license": "BSD-3-Clause",
"dependencies": {
- "@uwdata/flechette": "~0.0.8",
+ "@uwdata/flechette": "1.0.0-beta.2",
"acorn": "^8.12.1",
- "apache-arrow": "^17.0.0",
"node-fetch": "^3.3.2"
},
"devDependencies": {
"@rollup/plugin-node-resolve": "^15.2.3",
"@rollup/plugin-terser": "^0.4.4",
- "eslint": "^9.9.1",
+ "apache-arrow": "17.0.0",
+ "eslint": "^9.10.0",
"mocha": "^10.7.3",
"rimraf": "^6.0.1",
- "rollup": "^4.21.0",
+ "rollup": "^4.21.3",
"rollup-plugin-bundle-size": "^1.0.3",
"tape": "^5.8.1",
- "typescript": "^5.5.4"
- }
- },
- "node_modules/@75lb/deep-merge": {
- "version": "1.1.2",
- "resolved": "https://registry.npmjs.org/@75lb/deep-merge/-/deep-merge-1.1.2.tgz",
- "integrity": "sha512-08K9ou5VNbheZFxM5tDWoqjA3ImC50DiuuJ2tj1yEPRfkp8lLLg6XAaJ4On+a0yAXor/8ay5gHnAIshRM44Kpw==",
- "dependencies": {
- "lodash": "^4.17.21",
- "typical": "^7.1.1"
- },
- "engines": {
- "node": ">=12.17"
+ "typescript": "^5.6.2"
}
},
"node_modules/@aashutoshrathi/word-wrap": {
@@ -108,9 +96,9 @@
}
},
"node_modules/@eslint/js": {
- "version": "9.9.1",
- "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.9.1.tgz",
- "integrity": "sha512-xIDQRsfg5hNBqHz04H1R3scSVwmI+KUbqjsQKHKQ1DAUSaUjYPReZZmS/5PNiKu1fUvzDd6H7DEDKACSEhu+TQ==",
+ "version": "9.10.0",
+ "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.10.0.tgz",
+ "integrity": "sha512-fuXtbiP5GWIn8Fz+LWoOMVf/Jxm+aajZYkhi6CuEm4SxymFM+eUWzbO9qXT+L0iCkL5+KGYMCSGxo686H19S1g==",
"dev": true,
"engines": {
"node": "^18.18.0 || ^20.9.0 || >=21.1.0"
@@ -125,6 +113,18 @@
"node": "^18.18.0 || ^20.9.0 || >=21.1.0"
}
},
+ "node_modules/@eslint/plugin-kit": {
+ "version": "0.1.0",
+ "resolved": "https://registry.npmjs.org/@eslint/plugin-kit/-/plugin-kit-0.1.0.tgz",
+ "integrity": "sha512-autAXT203ixhqei9xt+qkYOvY8l6LAFIdT2UXc/RPNeUVfqRF1BV94GTJyVPFKT8nFM6MyVJhjLj9E8JWvf5zQ==",
+ "dev": true,
+ "dependencies": {
+ "levn": "^0.4.1"
+ },
+ "engines": {
+ "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
+ }
+ },
"node_modules/@humanwhocodes/module-importer": {
"version": "1.0.1",
"dev": true,
@@ -388,9 +388,9 @@
}
},
"node_modules/@rollup/rollup-android-arm-eabi": {
- "version": "4.21.0",
- "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.21.0.tgz",
- "integrity": "sha512-WTWD8PfoSAJ+qL87lE7votj3syLavxunWhzCnx3XFxFiI/BA/r3X7MUM8dVrH8rb2r4AiO8jJsr3ZjdaftmnfA==",
+ "version": "4.21.3",
+ "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.21.3.tgz",
+ "integrity": "sha512-MmKSfaB9GX+zXl6E8z4koOr/xU63AMVleLEa64v7R0QF/ZloMs5vcD1sHgM64GXXS1csaJutG+ddtzcueI/BLg==",
"cpu": [
"arm"
],
@@ -401,9 +401,9 @@
]
},
"node_modules/@rollup/rollup-android-arm64": {
- "version": "4.21.0",
- "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm64/-/rollup-android-arm64-4.21.0.tgz",
- "integrity": "sha512-a1sR2zSK1B4eYkiZu17ZUZhmUQcKjk2/j9Me2IDjk1GHW7LB5Z35LEzj9iJch6gtUfsnvZs1ZNyDW2oZSThrkA==",
+ "version": "4.21.3",
+ "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm64/-/rollup-android-arm64-4.21.3.tgz",
+ "integrity": "sha512-zrt8ecH07PE3sB4jPOggweBjJMzI1JG5xI2DIsUbkA+7K+Gkjys6eV7i9pOenNSDJH3eOr/jLb/PzqtmdwDq5g==",
"cpu": [
"arm64"
],
@@ -414,9 +414,9 @@
]
},
"node_modules/@rollup/rollup-darwin-arm64": {
- "version": "4.21.0",
- "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-arm64/-/rollup-darwin-arm64-4.21.0.tgz",
- "integrity": "sha512-zOnKWLgDld/svhKO5PD9ozmL6roy5OQ5T4ThvdYZLpiOhEGY+dp2NwUmxK0Ld91LrbjrvtNAE0ERBwjqhZTRAA==",
+ "version": "4.21.3",
+ "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-arm64/-/rollup-darwin-arm64-4.21.3.tgz",
+ "integrity": "sha512-P0UxIOrKNBFTQaXTxOH4RxuEBVCgEA5UTNV6Yz7z9QHnUJ7eLX9reOd/NYMO3+XZO2cco19mXTxDMXxit4R/eQ==",
"cpu": [
"arm64"
],
@@ -427,9 +427,9 @@
]
},
"node_modules/@rollup/rollup-darwin-x64": {
- "version": "4.21.0",
- "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-x64/-/rollup-darwin-x64-4.21.0.tgz",
- "integrity": "sha512-7doS8br0xAkg48SKE2QNtMSFPFUlRdw9+votl27MvT46vo44ATBmdZdGysOevNELmZlfd+NEa0UYOA8f01WSrg==",
+ "version": "4.21.3",
+ "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-x64/-/rollup-darwin-x64-4.21.3.tgz",
+ "integrity": "sha512-L1M0vKGO5ASKntqtsFEjTq/fD91vAqnzeaF6sfNAy55aD+Hi2pBI5DKwCO+UNDQHWsDViJLqshxOahXyLSh3EA==",
"cpu": [
"x64"
],
@@ -440,9 +440,9 @@
]
},
"node_modules/@rollup/rollup-linux-arm-gnueabihf": {
- "version": "4.21.0",
- "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm-gnueabihf/-/rollup-linux-arm-gnueabihf-4.21.0.tgz",
- "integrity": "sha512-pWJsfQjNWNGsoCq53KjMtwdJDmh/6NubwQcz52aEwLEuvx08bzcy6tOUuawAOncPnxz/3siRtd8hiQ32G1y8VA==",
+ "version": "4.21.3",
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"dependencies": {
"array-back": "^3.0.1"
},
@@ -1920,7 +1943,7 @@
"version": "24.3.25",
"resolved": "https://registry.npmjs.org/flatbuffers/-/flatbuffers-24.3.25.tgz",
"integrity": "sha512-3HDgPbgiwWMI9zVB7VYBHaMrbOO7Gm0v+yD2FV/sCKj+9NDeVL7BOBYUuhWAQGKWOzBo8S9WdMvV0eixO233XQ==",
- "license": "Apache-2.0"
+ "dev": true
},
"node_modules/flatted": {
"version": "3.3.1",
@@ -2207,6 +2230,7 @@
},
"node_modules/has-flag": {
"version": "4.0.0",
+ "dev": true,
"license": "MIT",
"engines": {
"node": ">=8"
@@ -2798,6 +2822,9 @@
},
"node_modules/json-bignum": {
"version": "0.0.3",
+ "resolved": "https://registry.npmjs.org/json-bignum/-/json-bignum-0.0.3.tgz",
+ "integrity": "sha512-2WHyXj3OfHSgNyuzDbSxI1w2jgw5gkWSWhS7Qg4bWXx1nLk3jnbwfUeS0PSba3IzpTUWdHxBieELUzXRjQB2zg==",
+ "dev": true,
"engines": {
"node": ">=0.8"
}
@@ -2857,14 +2884,11 @@
"url": "https://github.com/sponsors/sindresorhus"
}
},
- "node_modules/lodash": {
- "version": "4.17.21",
- "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz",
- "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg=="
- },
"node_modules/lodash.camelcase": {
"version": "4.3.0",
- "license": "MIT"
+ "resolved": "https://registry.npmjs.org/lodash.camelcase/-/lodash.camelcase-4.3.0.tgz",
+ "integrity": "sha512-TwuEnCnxbc3rAvhf/LbG7tJUDzhqXyFnv3dtzLOPgCG/hODL7WFnsbwktkD7yUV0RrreP/l1PALq/YSg6VvjlA==",
+ "dev": true
},
"node_modules/lodash.merge": {
"version": "4.6.2",
@@ -3589,9 +3613,9 @@
}
},
"node_modules/rollup": {
- "version": "4.21.0",
- "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.21.0.tgz",
- "integrity": "sha512-vo+S/lfA2lMS7rZ2Qoubi6I5hwZwzXeUIctILZLbHI+laNtvhhOIon2S1JksA5UEDQ7l3vberd0fxK44lTYjbQ==",
+ "version": "4.21.3",
+ "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.21.3.tgz",
+ "integrity": "sha512-7sqRtBNnEbcBtMeRVc6VRsJMmpI+JU1z9VTvW8D4gXIYQFz0aLcsE6rRkyghZkLfEgUZgVvOG7A5CVz/VW5GIA==",
"dev": true,
"dependencies": {
"@types/estree": "1.0.5"
@@ -3604,22 +3628,22 @@
"npm": ">=8.0.0"
},
"optionalDependencies": {
- "@rollup/rollup-android-arm-eabi": "4.21.0",
- "@rollup/rollup-android-arm64": "4.21.0",
- "@rollup/rollup-darwin-arm64": "4.21.0",
- "@rollup/rollup-darwin-x64": "4.21.0",
- "@rollup/rollup-linux-arm-gnueabihf": "4.21.0",
- "@rollup/rollup-linux-arm-musleabihf": "4.21.0",
- "@rollup/rollup-linux-arm64-gnu": "4.21.0",
- "@rollup/rollup-linux-arm64-musl": "4.21.0",
- "@rollup/rollup-linux-powerpc64le-gnu": "4.21.0",
- "@rollup/rollup-linux-riscv64-gnu": "4.21.0",
- "@rollup/rollup-linux-s390x-gnu": "4.21.0",
- "@rollup/rollup-linux-x64-gnu": "4.21.0",
- "@rollup/rollup-linux-x64-musl": "4.21.0",
- "@rollup/rollup-win32-arm64-msvc": "4.21.0",
- "@rollup/rollup-win32-ia32-msvc": "4.21.0",
- "@rollup/rollup-win32-x64-msvc": "4.21.0",
+ "@rollup/rollup-android-arm-eabi": "4.21.3",
+ "@rollup/rollup-android-arm64": "4.21.3",
+ "@rollup/rollup-darwin-arm64": "4.21.3",
+ "@rollup/rollup-darwin-x64": "4.21.3",
+ "@rollup/rollup-linux-arm-gnueabihf": "4.21.3",
+ "@rollup/rollup-linux-arm-musleabihf": "4.21.3",
+ "@rollup/rollup-linux-arm64-gnu": "4.21.3",
+ "@rollup/rollup-linux-arm64-musl": "4.21.3",
+ "@rollup/rollup-linux-powerpc64le-gnu": "4.21.3",
+ "@rollup/rollup-linux-riscv64-gnu": "4.21.3",
+ "@rollup/rollup-linux-s390x-gnu": "4.21.3",
+ "@rollup/rollup-linux-x64-gnu": "4.21.3",
+ "@rollup/rollup-linux-x64-musl": "4.21.3",
+ "@rollup/rollup-win32-arm64-msvc": "4.21.3",
+ "@rollup/rollup-win32-ia32-msvc": "4.21.3",
+ "@rollup/rollup-win32-x64-msvc": "4.21.3",
"fsevents": "~2.3.2"
}
},
@@ -3840,13 +3864,6 @@
"node": ">= 0.4"
}
},
- "node_modules/stream-read-all": {
- "version": "3.0.1",
- "license": "MIT",
- "engines": {
- "node": ">=10"
- }
- },
"node_modules/string-width": {
"version": "5.1.2",
"resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz",
@@ -4045,27 +4062,23 @@
}
},
"node_modules/table-layout": {
- "version": "3.0.2",
- "license": "MIT",
+ "version": "4.1.1",
+ "resolved": "https://registry.npmjs.org/table-layout/-/table-layout-4.1.1.tgz",
+ "integrity": "sha512-iK5/YhZxq5GO5z8wb0bY1317uDF3Zjpha0QFFLA8/trAoiLbQD0HUbMesEaxyzUgDxi2QlcbM8IvqOlEjgoXBA==",
+ "dev": true,
"dependencies": {
- "@75lb/deep-merge": "^1.1.1",
"array-back": "^6.2.2",
- "command-line-args": "^5.2.1",
- "command-line-usage": "^7.0.0",
- "stream-read-all": "^3.0.1",
- "typical": "^7.1.1",
"wordwrapjs": "^5.1.0"
},
- "bin": {
- "table-layout": "bin/cli.js"
- },
"engines": {
"node": ">=12.17"
}
},
"node_modules/table-layout/node_modules/array-back": {
"version": "6.2.2",
- "license": "MIT",
+ "resolved": "https://registry.npmjs.org/array-back/-/array-back-6.2.2.tgz",
+ "integrity": "sha512-gUAZ7HPyb4SJczXAMUXMGAvI976JoK3qEx9v1FTmeYuJj0IBiaKttG1ydtGKdkfqWkIkouke7nG8ufGy77+Cvw==",
+ "dev": true,
"engines": {
"node": ">=12.17"
}
@@ -4161,10 +4174,10 @@
}
},
"node_modules/tslib": {
- "version": "2.6.3",
- "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.3.tgz",
- "integrity": "sha512-xNvxJEOUiWPGhUuUdQgAJPKOOJfGnIyKySOc09XkKsgdUV/3E2zvwZYdejjmRgPCgcym1juLH3226yA7sEFJKQ==",
- "license": "0BSD"
+ "version": "2.7.0",
+ "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.7.0.tgz",
+ "integrity": "sha512-gLXCKdN1/j47AiHiOkJN69hJmcbGTHI0ImLmbYLHykhgeN0jVGola9yVjFgzCUklsZQMW55o+dW7IXv3RCXDzA==",
+ "dev": true
},
"node_modules/type-check": {
"version": "0.4.0",
@@ -4255,9 +4268,9 @@
}
},
"node_modules/typescript": {
- "version": "5.5.4",
- "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.5.4.tgz",
- "integrity": "sha512-Mtq29sKDAEYP7aljRgtPOpTvOfbwRWlS6dPRzwjdE+C0R4brX/GUyhHSecbHMFLNBLcJIPt9nl9yG5TZ1weH+Q==",
+ "version": "5.6.2",
+ "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.6.2.tgz",
+ "integrity": "sha512-NW8ByodCSNCwZeghjN3o+JX5OFH0Ojg6sadjEKY4huZ52TqbJTJnDo5+Tw98lSy63NZvi4n+ez5m2u5d4PkZyw==",
"dev": true,
"bin": {
"tsc": "bin/tsc",
@@ -4268,10 +4281,12 @@
}
},
"node_modules/typical": {
- "version": "7.1.1",
- "license": "MIT",
+ "version": "4.0.0",
+ "resolved": "https://registry.npmjs.org/typical/-/typical-4.0.0.tgz",
+ "integrity": "sha512-VAH4IvQ7BDFYglMd7BPRDfLgxZZX4O4TFcRDA6EN5X7erNJJq+McIEp8np9aVtxrCJ6qx4GTYVfOWNjcqwZgRw==",
+ "dev": true,
"engines": {
- "node": ">=12.17"
+ "node": ">=8"
}
},
"node_modules/unbox-primitive": {
@@ -4291,10 +4306,10 @@
}
},
"node_modules/undici-types": {
- "version": "5.26.5",
- "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
- "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
- "license": "MIT"
+ "version": "6.19.8",
+ "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.19.8.tgz",
+ "integrity": "sha512-ve2KP6f/JnbPBFyobGHuerC9g1FYGn/F8n1LWTwNxCEzd6IfqTwUQcNXgEtmmQ6DlRrC1hrSrBnCZPokRrDHjw==",
+ "dev": true
},
"node_modules/uri-js": {
"version": "4.4.1",
@@ -4387,7 +4402,9 @@
},
"node_modules/wordwrapjs": {
"version": "5.1.0",
- "license": "MIT",
+ "resolved": "https://registry.npmjs.org/wordwrapjs/-/wordwrapjs-5.1.0.tgz",
+ "integrity": "sha512-JNjcULU2e4KJwUNv6CHgI46UvDGitb6dGryHajXTDiLgg1/RiGoPSDw4kZfYnwGtEXf2ZMeIewDQgFGzkCB2Sg==",
+ "dev": true,
"engines": {
"node": ">=12.17"
}
diff --git a/package.json b/package.json
index b97e4da..19d325b 100644
--- a/package.json
+++ b/package.json
@@ -37,20 +37,20 @@
"prepublishOnly": "npm test && npm run build"
},
"dependencies": {
- "@uwdata/flechette": "~0.0.8",
+ "@uwdata/flechette": "1.0.0-beta.2",
"acorn": "^8.12.1",
- "apache-arrow": "^17.0.0",
"node-fetch": "^3.3.2"
},
"devDependencies": {
"@rollup/plugin-node-resolve": "^15.2.3",
"@rollup/plugin-terser": "^0.4.4",
- "eslint": "^9.9.1",
+ "apache-arrow": "17.0.0",
+ "eslint": "^9.10.0",
"mocha": "^10.7.3",
"rimraf": "^6.0.1",
- "rollup": "^4.21.0",
+ "rollup": "^4.21.3",
"rollup-plugin-bundle-size": "^1.0.3",
"tape": "^5.8.1",
- "typescript": "^5.5.4"
+ "typescript": "^5.6.2"
}
}
diff --git a/perf/arrow-perf.js b/perf/arrow-perf.js
index 0708b22..c5d2ff0 100644
--- a/perf/arrow-perf.js
+++ b/perf/arrow-perf.js
@@ -1,27 +1,24 @@
import tape from 'tape';
import { time } from './time.js';
import { bools, floats, ints, sample, strings } from './data-gen.js';
-import { fromArrow, table, toArrow } from '../src/index.js';
-import {
- Bool, Dictionary, Float64, Int32, Table, Uint32, Utf8,
- tableFromIPC, tableToIPC, vectorFromArray
-} from 'apache-arrow';
+import { fromArrow, table, toArrowIPC } from '../src/index.js';
+import { bool, columnFromArray, dictionary, float64, int32, tableFromColumns, tableToIPC, uint32, utf8 } from '@uwdata/flechette';
+import { tableFromIPC } from 'apache-arrow';
function process(N, nulls, msg) {
- const vectors = {
- k: vectorFromArray(
- sample(N, strings(100), nulls),
- new Dictionary(new Utf8(), new Int32())
- ),
- v: vectorFromArray(
- ints(N, -10000, 10000, nulls),
- new Int32()
- )
- };
- const aa = new Table(vectors);
- const buf = tableToIPC(aa, 'stream');
- const ft = fromArrow(buf); // using flechette
- const at = fromArrow(aa); // using arrow-js
+ const aa = tableFromColumns({
+ k: columnFromArray(
+ sample(N, strings(100), nulls),
+ dictionary(utf8(), int32())
+ ),
+ v: columnFromArray(
+ ints(N, -10000, 10000, nulls),
+ int32()
+ )
+ });
+ const buf = tableToIPC(aa);
+ const at = fromArrow(tableFromIPC(buf)); // using arrow-js
+ const ft = fromArrow(aa); // using flechette
const filterDict = (dt, val) => time(() => {
dt.filter(`d.k === '${val}'`).numRows();
@@ -67,11 +64,11 @@ function process(N, nulls, msg) {
function serialize(N, nulls, msg) {
tape(`arrow serialization: ${msg}`, t => {
console.table([ // eslint-disable-line
- encode('boolean', new Bool(), bools(N, nulls)),
- encode('integer', new Int32(), ints(N, -10000, 10000, nulls)),
- encode('float', new Float64(), floats(N, -10000, 10000, nulls)),
+ encode('boolean', bool(), bools(N, nulls)),
+ encode('integer', int32(), ints(N, -10000, 10000, nulls)),
+ encode('float', float64(), floats(N, -10000, 10000, nulls)),
encode('dictionary',
- new Dictionary(new Utf8(), new Uint32(), 0),
+ dictionary(utf8(), uint32()),
sample(N, strings(100), nulls)
)
]);
@@ -83,17 +80,21 @@ function encode(name, type, values) {
const dt = table({ values });
// measure encoding times
- const qt = time(() => tableToIPC(toArrow(dt, { types: { values: type } })));
+ const qt = time(() => toArrowIPC(dt, { types: { values: type } }));
const at = time(
- () => tableToIPC(new Table({ values: vectorFromArray(values, type) }))
+ () => tableToIPC(
+ tableFromColumns({
+ values: columnFromArray(values, type)
+ })
+ )
);
const jt = time(() => JSON.stringify(values));
// measure serialized byte size
- const ab = tableToIPC(new Table({
- values: vectorFromArray(values, type)
+ const ab = tableToIPC(tableFromColumns({
+ values: columnFromArray(values, type)
})).length;
- const qb = tableToIPC(toArrow(dt, { types: { values: type }})).length;
+ const qb = toArrowIPC(dt, { types: { values: type }}).length;
const jb = (new TextEncoder().encode(JSON.stringify(values))).length;
// check that arrow and arquero produce the same result
@@ -104,7 +105,7 @@ function encode(name, type, values) {
return {
'data type': name,
- 'arrow-js': at,
+ 'flechette': at,
'arquero': qt,
'json': jt,
'size-arrow': ab,
diff --git a/rollup.config.js b/rollup.config.js
index 45d59c8..ce0e61b 100644
--- a/rollup.config.js
+++ b/rollup.config.js
@@ -3,23 +3,27 @@ import { nodeResolve } from '@rollup/plugin-node-resolve';
import terser from '@rollup/plugin-terser';
const name = 'aq';
-const external = [ 'apache-arrow' ];
-const globals = { 'apache-arrow': 'Arrow' };
const plugins = [
bundleSize(),
nodeResolve({ modulesOnly: true })
];
+function onwarn(warning) {
+ if (warning.code !== 'CIRCULAR_DEPENDENCY') {
+ // eslint-disable-next-line
+ console.error(`(!) ${warning.message}`);
+ }
+}
+
export default [
{
input: 'src/index-browser.js',
- external,
plugins,
+ onwarn,
output: [
{
file: 'dist/arquero.js',
format: 'umd',
- globals,
name
},
{
@@ -27,7 +31,6 @@ export default [
format: 'umd',
sourcemap: true,
plugins: [ terser({ ecma: 2018 }) ],
- globals,
name
}
]
diff --git a/src/api.js b/src/api.js
index 9960a0b..ec25761 100644
--- a/src/api.js
+++ b/src/api.js
@@ -8,12 +8,12 @@ export { default as walk_ast } from './expression/ast/walk.js';
// public API
export { seed } from './util/random.js';
-export { default as fromArrow } from './arrow/from-arrow.js';
+export { default as fromArrow } from './format/from-arrow.js';
export { default as fromCSV } from './format/from-csv.js';
export { default as fromFixed } from './format/from-fixed.js';
export { default as fromJSON } from './format/from-json.js';
-export { default as toArrow } from './arrow/to-arrow.js';
-export { default as toArrowIPC } from './arrow/to-arrow-ipc.js';
+export { default as toArrow } from './format/to-arrow.js';
+export { default as toArrowIPC } from './format/to-arrow-ipc.js';
export { default as toCSV } from './format/to-csv.js';
export { default as toHTML } from './format/to-html.js';
export { default as toJSON } from './format/to-json.js';
diff --git a/src/arrow/arrow-table.js b/src/arrow/arrow-table.js
deleted file mode 100644
index 82c8beb..0000000
--- a/src/arrow/arrow-table.js
+++ /dev/null
@@ -1,28 +0,0 @@
-import { Table, tableToIPC } from 'apache-arrow';
-import error from '../util/error.js';
-
-const fail = (cause) => error(
- 'Apache Arrow not imported, ' +
- 'see https://github.com/uwdata/arquero#usage',
- cause
-);
-
-export function arrowTable(...args) {
- // trap access to provide a helpful message
- // when Apache Arrow has not been imported
- try {
- return new Table(...args);
- } catch (err) {
- fail(err);
- }
-}
-
-export function arrowTableToIPC(table, format) {
- // trap access to provide a helpful message
- // when Apache Arrow has not been imported
- try {
- return tableToIPC(table, format);
- } catch (err) {
- fail(err);
- }
-}
diff --git a/src/arrow/builder/array-builder.js b/src/arrow/builder/array-builder.js
deleted file mode 100644
index c9de3a4..0000000
--- a/src/arrow/builder/array-builder.js
+++ /dev/null
@@ -1,9 +0,0 @@
-import { array } from './util.js';
-
-export default function(type, length) {
- const data = array(type.ArrayType, length);
- return {
- set(value, index) { data[index] = value; },
- data: () => ({ type, length, buffers: [null, data] })
- };
-}
diff --git a/src/arrow/builder/bool-builder.js b/src/arrow/builder/bool-builder.js
deleted file mode 100644
index a327ff3..0000000
--- a/src/arrow/builder/bool-builder.js
+++ /dev/null
@@ -1,11 +0,0 @@
-import { array } from './util.js';
-
-export default function(type, length) {
- const data = array(type.ArrayType, length / 8);
- return {
- set(value, index) {
- if (value) data[index >> 3] |= (1 << (index % 8));
- },
- data: () => ({ type, length, buffers: [null, data] })
- };
-}
diff --git a/src/arrow/builder/date-day-builder.js b/src/arrow/builder/date-day-builder.js
deleted file mode 100644
index d7bb012..0000000
--- a/src/arrow/builder/date-day-builder.js
+++ /dev/null
@@ -1,9 +0,0 @@
-import { array } from './util.js';
-
-export default function(type, length) {
- const data = array(type.ArrayType, length);
- return {
- set(value, index) { data[index] = (value / 86400000) | 0; },
- data: () => ({ type, length, buffers: [null, data] })
- };
-}
diff --git a/src/arrow/builder/date-millis-builder.js b/src/arrow/builder/date-millis-builder.js
deleted file mode 100644
index 1bcdac1..0000000
--- a/src/arrow/builder/date-millis-builder.js
+++ /dev/null
@@ -1,9 +0,0 @@
-import { array } from './util.js';
-
-export default function(type, length) {
- const data = array(type.ArrayType, length);
- return {
- set(value, index) { data[index] = BigInt(value); },
- data: () => ({ type, length, buffers: [null, data] })
- };
-}
diff --git a/src/arrow/builder/default-builder.js b/src/arrow/builder/default-builder.js
deleted file mode 100644
index d0301ec..0000000
--- a/src/arrow/builder/default-builder.js
+++ /dev/null
@@ -1,12 +0,0 @@
-import { makeBuilder } from 'apache-arrow';
-
-export default function(type) {
- const b = makeBuilder({
- type,
- nullValues: [null, undefined]
- });
- return {
- set(value, index) { b.set(index, value); },
- data: () => b.finish().flush()
- };
-}
diff --git a/src/arrow/builder/dictionary-builder.js b/src/arrow/builder/dictionary-builder.js
deleted file mode 100644
index c301a7a..0000000
--- a/src/arrow/builder/dictionary-builder.js
+++ /dev/null
@@ -1,36 +0,0 @@
-import utf8Builder from './utf8-builder.js';
-import { array, arrowVector } from './util.js';
-
-export default function(type, length) {
- const values = [];
- const data = array(type.indices.ArrayType, length);
- const keys = Object.create(null);
-
- let next = -1;
- let strlen = 0;
-
- return {
- set(value, index) {
- const v = String(value);
- let k = keys[v];
- if (k === undefined) {
- strlen += v.length;
- keys[v] = k = ++next;
- values.push(v);
- }
- data[index] = k;
- },
- data: () => ({
- type,
- length,
- buffers: [null, data],
- dict: dictionary(type.dictionary, values, strlen)
- })
- };
-}
-
-function dictionary(type, values, strlen) {
- const b = utf8Builder(type, values.length, strlen);
- values.forEach(b.set);
- return arrowVector(b.data());
-}
diff --git a/src/arrow/builder/index.js b/src/arrow/builder/index.js
deleted file mode 100644
index 2e9dde7..0000000
--- a/src/arrow/builder/index.js
+++ /dev/null
@@ -1,40 +0,0 @@
-import { Type } from 'apache-arrow';
-import arrayBuilder from './array-builder.js';
-import boolBuilder from './bool-builder.js';
-import dateDayBuilder from './date-day-builder.js';
-import dateMillisBuilder from './date-millis-builder.js';
-import defaultBuilder from './default-builder.js';
-import dictionaryBuilder from './dictionary-builder.js';
-import validBuilder from './valid-builder.js';
-
-export default function(type, nrows, nullable = true) {
- let method;
-
- switch (type.typeId) {
- case Type.Int:
- method = type.bitWidth < 64 ? arrayBuilder : null;
- break;
- case Type.Float:
- method = type.precision > 0 ? arrayBuilder : null;
- break;
- case Type.Dictionary:
- // check sub-types against builder assumptions
- // if check fails, fallback to default builder
- method = (
- type.dictionary.typeId === Type.Utf8 &&
- type.indices.typeId === Type.Int &&
- type.indices.bitWidth < 64
- ) ? dictionaryBuilder : null;
- break;
- case Type.Bool:
- method = boolBuilder;
- break;
- case Type.Date:
- method = type.unit ? dateMillisBuilder : dateDayBuilder;
- break;
- }
-
- return method == null ? defaultBuilder(type)
- : nullable ? validBuilder(method(type, nrows), nrows)
- : method(type, nrows);
-}
diff --git a/src/arrow/builder/resolve-type.js b/src/arrow/builder/resolve-type.js
deleted file mode 100644
index 14eb341..0000000
--- a/src/arrow/builder/resolve-type.js
+++ /dev/null
@@ -1,97 +0,0 @@
-import {
- Binary,
- Bool,
- DataType,
- DateDay,
- DateMillisecond,
- Dictionary,
- Float16,
- Float32,
- Float64,
- Int16,
- Int32,
- Int64,
- Int8,
- IntervalDayTime,
- IntervalYearMonth,
- Null,
- TimeMicrosecond,
- TimeMillisecond,
- TimeNanosecond,
- TimeSecond,
- Type,
- Uint16,
- Uint32,
- Uint64,
- Uint8,
- Utf8
-} from 'apache-arrow';
-import error from '../../util/error.js';
-import toString from '../../util/to-string.js';
-
-export default function(type) {
- if (type instanceof DataType || type == null) {
- return type;
- }
-
- switch (type) {
- case Type.Binary:
- return new Binary();
- case Type.Bool:
- return new Bool();
- case Type.DateDay:
- return new DateDay();
- case Type.DateMillisecond:
- case Type.Date:
- return new DateMillisecond();
- case Type.Dictionary:
- return new Dictionary(new Utf8(), new Int32());
- case Type.Float16:
- return new Float16();
- case Type.Float32:
- return new Float32();
- case Type.Float64:
- case Type.Float:
- return new Float64();
- case Type.Int8:
- return new Int8();
- case Type.Int16:
- return new Int16();
- case Type.Int32:
- case Type.Int:
- return new Int32();
- case Type.Int64:
- return new Int64();
- case Type.IntervalDayTime:
- return new IntervalDayTime();
- case Type.Interval:
- case Type.IntervalYearMonth:
- return new IntervalYearMonth();
- case Type.Null:
- return new Null();
- case Type.TimeMicrosecond:
- return new TimeMicrosecond();
- case Type.TimeMillisecond:
- case Type.Time:
- return new TimeMillisecond();
- case Type.TimeNanosecond:
- return new TimeNanosecond();
- case Type.TimeSecond:
- return new TimeSecond();
- case Type.Uint8:
- return new Uint8();
- case Type.Uint16:
- return new Uint16();
- case Type.Uint32:
- return new Uint32();
- case Type.Uint64:
- return new Uint64();
- case Type.Utf8:
- return new Utf8();
- default:
- error(
- `Unsupported type code: ${toString(type)}. ` +
- 'Use a data type constructor instead?'
- );
- }
-}
diff --git a/src/arrow/builder/utf8-builder.js b/src/arrow/builder/utf8-builder.js
deleted file mode 100644
index b8fb35d..0000000
--- a/src/arrow/builder/utf8-builder.js
+++ /dev/null
@@ -1,21 +0,0 @@
-import { array, ceil64Bytes, writeUtf8 } from './util.js';
-
-export default function(type, length, strlen) {
- const offset = array(Int32Array, length + 1);
- const buf = array(Uint8Array, 3 * strlen);
-
- let idx = 0;
-
- return {
- set(value, index) {
- idx += writeUtf8(buf, idx, value);
- offset[index + 1] = idx;
- },
- data: () => {
- // slice utf buffer if over-allocated
- const dlen = ceil64Bytes(idx);
- const data = buf.length > dlen ? buf.subarray(0, dlen) : buf;
- return { type, length, buffers: [offset, data] };
- }
- };
-}
diff --git a/src/arrow/builder/util.js b/src/arrow/builder/util.js
deleted file mode 100644
index c3cc25f..0000000
--- a/src/arrow/builder/util.js
+++ /dev/null
@@ -1,33 +0,0 @@
-import { Data, Vector } from 'apache-arrow';
-
-export function ceil64Bytes(length, bpe = 1) {
- return ((((length * bpe) + 63) & ~63) || 64) / bpe;
-}
-
-export function array(Type, length, bpe = Type.BYTES_PER_ELEMENT) {
- return new Type(ceil64Bytes(length, bpe));
-}
-
-export function arrowData(d) {
- return d instanceof Data
- ? d
- : new Data(d.type, 0, d.length, d.nulls, d.buffers, null, d.dict);
-}
-
-export function arrowVector(data) {
- return new Vector([arrowData(data)]);
-}
-
-export const encoder = new TextEncoder();
-
-export function encode(data, idx, str) {
- const bytes = encoder.encode(str);
- data.set(bytes, idx);
- return bytes.length;
-}
-
-export function encodeInto(data, idx, str) {
- return encoder.encodeInto(str, data.subarray(idx)).written;
-}
-
-export const writeUtf8 = encoder.encodeInto ? encodeInto : encode;
diff --git a/src/arrow/builder/valid-builder.js b/src/arrow/builder/valid-builder.js
deleted file mode 100644
index ee21dae..0000000
--- a/src/arrow/builder/valid-builder.js
+++ /dev/null
@@ -1,25 +0,0 @@
-import { array } from './util.js';
-
-export default function(builder, length) {
- const valid = array(Uint8Array, length / 8);
- let nulls = 0;
-
- return {
- set(value, index) {
- if (value == null) {
- ++nulls;
- } else {
- builder.set(value, index);
- valid[index >> 3] |= (1 << (index % 8));
- }
- },
- data: () => {
- const d = builder.data();
- if (nulls) {
- d.nulls = nulls;
- d.buffers[2] = valid;
- }
- return d;
- }
- };
-}
diff --git a/src/arrow/encode/data-from-objects.js b/src/arrow/encode/data-from-objects.js
deleted file mode 100644
index af91330..0000000
--- a/src/arrow/encode/data-from-objects.js
+++ /dev/null
@@ -1,16 +0,0 @@
-import { dataFromScan } from './data-from.js';
-import { profile } from './profiler.js';
-import resolveType from '../builder/resolve-type.js';
-
-export default function(data, name, nrows, scan, type, nullable = true) {
- type = resolveType(type);
-
- // perform type inference if needed
- if (!type) {
- const p = profile(scan, name);
- nullable = p.nulls > 0;
- type = p.type();
- }
-
- return dataFromScan(nrows, scan, name, type, nullable);
-}
diff --git a/src/arrow/encode/data-from-table.js b/src/arrow/encode/data-from-table.js
deleted file mode 100644
index 85fe155..0000000
--- a/src/arrow/encode/data-from-table.js
+++ /dev/null
@@ -1,69 +0,0 @@
-import {
- Float32, Float64,
- Int16, Int32, Int64, Int8,
- Uint16, Uint32, Uint64, Uint8, Vector
-} from 'apache-arrow';
-import { dataFromArray, dataFromScan } from './data-from.js';
-import { profile } from './profiler.js';
-import resolveType from '../builder/resolve-type.js';
-import isTypedArray from '../../util/is-typed-array.js';
-
-export default function(table, name, nrows, scan, type, nullable = true) {
- type = resolveType(type);
- const column = table.column(name);
- const reified = !(table.isFiltered() || table.isOrdered());
-
- // use existing arrow data if types match
- const vec = arrowVector(column);
- if (vec && reified && typeCompatible(vec.type, type)) {
- return vec;
- }
-
- // if backing data is a typed array, leverage that
- const data = column.data;
- if (isTypedArray(data)) {
- const dtype = typeFromArray(data);
- if (reified && dtype && typeCompatible(dtype, type)) {
- return dataFromArray(data, dtype);
- } else {
- type = type || dtype;
- nullable = false;
- }
- }
-
- // perform type inference if needed
- if (!type) {
- const p = profile(scan, column);
- nullable = p.nulls > 0;
- type = p.type();
- }
-
- return dataFromScan(nrows, scan, column, type, nullable);
-}
-
-function arrowVector(value) {
- return value instanceof Vector ? value
- : value.vector instanceof Vector ? value.vector
- : null;
-}
-
-function typeFromArray(data) {
- const types = {
- Float32Array: Float32,
- Float64Array: Float64,
- Int8Array: Int8,
- Int16Array: Int16,
- Int32Array: Int32,
- Uint8Array: Uint8,
- Uint16Array: Uint16,
- Uint32Array: Uint32,
- BigInt64Array: Int64,
- BigUint64Array: Uint64
- };
- const Type = types[data.constructor.name];
- return Type ? new Type() : null;
-}
-
-function typeCompatible(a, b) {
- return !a || !b ? true : a.compareTo(b);
-}
diff --git a/src/arrow/encode/data-from.js b/src/arrow/encode/data-from.js
deleted file mode 100644
index 8b0a0ec..0000000
--- a/src/arrow/encode/data-from.js
+++ /dev/null
@@ -1,21 +0,0 @@
-import builder from '../builder/index.js';
-import { arrowData, ceil64Bytes } from '../builder/util.js';
-
-export function dataFromArray(array, type) {
- const length = array.length;
- const size = ceil64Bytes(length, array.BYTES_PER_ELEMENT);
-
- let data = array;
- if (length !== size) {
- data = new array.constructor(size);
- data.set(array);
- }
-
- return arrowData({ type, length, buffers: [null, data] });
-}
-
-export function dataFromScan(nrows, scan, column, type, nullable = true) {
- const b = builder(type, nrows, nullable);
- scan(column, b.set);
- return arrowData(b.data());
-}
diff --git a/src/arrow/encode/profiler.js b/src/arrow/encode/profiler.js
deleted file mode 100644
index 16d1b7f..0000000
--- a/src/arrow/encode/profiler.js
+++ /dev/null
@@ -1,138 +0,0 @@
-import { Field, FixedSizeList, List, Struct, Type } from 'apache-arrow';
-import resolveType from '../builder/resolve-type.js';
-import error from '../../util/error.js';
-import isArrayType from '../../util/is-array-type.js';
-import isDate from '../../util/is-date.js';
-import isExactUTCDate from '../../util/is-exact-utc-date.js';
-
-export function profile(scan, column) {
- const p = profiler();
- scan(column, p.add);
- return p;
-}
-
-export function profiler() {
- const p = {
- count: 0,
- nulls: 0,
- bools: 0,
- nums: 0,
- ints: 0,
- bigints: 0,
- min: Infinity,
- max: -Infinity,
- digits: 0,
- dates: 0,
- utcdays: 0,
- strings: 0,
- strlen: 0,
- arrays: 0,
- minlen: Infinity,
- maxlen: 0,
- structs: 0,
-
- add(value) {
- ++p.count;
- if (value == null) {
- ++p.nulls;
- return;
- }
-
- const type = typeof value;
- if (type === 'string') {
- ++p.strings;
- } else if (type === 'number') {
- ++p.nums;
- if (value < p.min) p.min = value;
- if (value > p.max) p.max = value;
- if (Number.isInteger(value)) ++p.ints;
- } else if (type === 'boolean') {
- ++p.bools;
- } else if (type === 'object') {
- if (isDate(value)) {
- ++p.dates;
- if (isExactUTCDate(value)) {
- ++p.utcdays;
- }
- } else if (isArrayType(value)) {
- ++p.arrays;
- if (value.length < p.minlen) p.minlen = value.length;
- if (value.length > p.maxlen) p.maxlen = value.length;
- const ap = p.array_prof || (p.array_prof = profiler());
- value.forEach(ap.add);
- } else {
- ++p.structs;
- const sp = p.struct_prof || (p.struct_prof = {});
- for (const key in value) {
- const fp = sp[key] || (sp[key] = profiler());
- fp.add(value[key]);
- }
- }
- } else if (type === 'bigint') {
- ++p.bigints;
- if (value < p.min) p.min = value;
- if (value > p.max) p.max = value;
- }
- },
- type() {
- return resolveType(infer(p));
- }
- };
-
- return p;
-}
-
-function infer(p) {
- const valid = p.count - p.nulls;
-
- if (valid === 0) {
- return Type.Null;
- }
- else if (p.ints === valid) {
- const v = Math.max(Math.abs(p.min) - 1, p.max);
- return p.min < 0
- ? v >= 2 ** 31 ? Type.Float64
- : v < (1 << 7) ? Type.Int8 : v < (1 << 15) ? Type.Int16 : Type.Int32
- : v >= 2 ** 32 ? Type.Float64
- : v < (1 << 8) ? Type.Uint8 : v < (1 << 16) ? Type.Uint16 : Type.Uint32;
- }
- else if (p.nums === valid) {
- return Type.Float64;
- }
- else if (p.bigints === valid) {
- // @ts-ignore
- const v = -p.min > p.max ? -p.min - 1n : p.max;
- return p.min < 0
- ? v < 2 ** 63 ? Type.Int64
- : error(`BigInt exceeds 64 bits: ${v}`)
- : p.max < 2 ** 64 ? Type.Uint64
- : error(`BigInt exceeds 64 bits: ${p.max}`);
- }
- else if (p.bools === valid) {
- return Type.Bool;
- }
- else if (p.utcdays === valid) {
- return Type.DateDay;
- }
- else if (p.dates === valid) {
- return Type.DateMillisecond;
- }
- else if (p.arrays === valid) {
- const type = Field.new('value', p.array_prof.type(), true);
- return p.minlen === p.maxlen
- ? new FixedSizeList(p.minlen, type)
- : new List(type);
- }
- else if (p.structs === valid) {
- const sp = p.struct_prof;
- return new Struct(
- Object.keys(sp).map(name => Field.new(name, sp[name].type(), true))
- );
- }
- else if (p.strings > 0) {
- return Type.Dictionary;
- }
- else {
- error('Type inference failure');
- }
-}
diff --git a/src/arrow/encode/scan.js b/src/arrow/encode/scan.js
deleted file mode 100644
index b12a588..0000000
--- a/src/arrow/encode/scan.js
+++ /dev/null
@@ -1,29 +0,0 @@
-import isArrayType from '../../util/is-array-type.js';
-
-export function scanArray(data, limit, offset) {
- const n = Math.min(data.length, offset + limit);
- return (name, visit) => {
- for (let i = offset; i < n; ++i) {
- visit(data[i][name], i);
- }
- };
-}
-
-export function scanTable(table, limit, offset) {
- const scanAll = offset === 0 && table.numRows() <= limit
- && !table.isFiltered() && !table.isOrdered();
-
- return (column, visit) => {
- const isArray = isArrayType(column);
- let i = -1;
- scanAll && isArray
- ? column.forEach(visit)
- : table.scan(
- // optimize column value access
- isArray
- ? row => visit(column[row], ++i)
- : row => visit(column.at(row), ++i),
- true, limit, offset
- );
- };
-}
diff --git a/src/arrow/to-arrow.js b/src/arrow/to-arrow.js
deleted file mode 100644
index e4adb13..0000000
--- a/src/arrow/to-arrow.js
+++ /dev/null
@@ -1,59 +0,0 @@
-import { arrowTable } from './arrow-table.js';
-import dataFromObjects from './encode/data-from-objects.js';
-import dataFromTable from './encode/data-from-table.js';
-import { scanArray, scanTable } from './encode/scan.js';
-import error from '../util/error.js';
-import isArray from '../util/is-array.js';
-import isFunction from '../util/is-function.js';
-
-/**
- * Create an Apache Arrow table for an input dataset.
- * @param {object[]|import('../table/Table.js').Table} data An input dataset
- * to convert to Arrow format. If array-valued, the data should consist of an
- * array of objects where each entry represents a row and named properties
- * represent columns. Otherwise, the input data should be an Arquero table.
- * @param {import('./types.js').ArrowFormatOptions} [options]
- * Encoding options, including column data types.
- * @return {import('apache-arrow').Table} An Apache Arrow Table instance.
- */
-export default function(data, options = {}) {
- const { types = {} } = options;
- const { dataFrom, names, nrows, scan } = init(data, options);
- const cols = {};
- names.forEach(name => {
- const col = dataFrom(data, name, nrows, scan, types[name]);
- if (col.length !== nrows) {
- error('Column length mismatch');
- }
- cols[name] = col;
- });
- return arrowTable(cols);
-}
-
-function init(data, options) {
- const { columns, limit = Infinity, offset = 0 } = options;
- const names = isFunction(columns) ? columns(data)
- : isArray(columns) ? columns
- : null;
- if (isArray(data)) {
- return {
- dataFrom: dataFromObjects,
- names: names || Object.keys(data[0]),
- nrows: Math.min(limit, data.length - offset),
- scan: scanArray(data, limit, offset)
- };
- } else if (isTable(data)) {
- return {
- dataFrom: dataFromTable,
- names: names || data.columnNames(),
- nrows: Math.min(limit, data.numRows() - offset),
- scan: scanTable(data, limit, offset)
- };
- } else {
- error('Unsupported input data type');
- }
-}
-
-function isTable(data) {
- return data && isFunction(data.reify);
-}
diff --git a/src/arrow/from-arrow.js b/src/format/from-arrow.js
similarity index 100%
rename from src/arrow/from-arrow.js
rename to src/format/from-arrow.js
diff --git a/src/format/load-file.js b/src/format/load-file.js
index db5975a..17f5555 100644
--- a/src/format/load-file.js
+++ b/src/format/load-file.js
@@ -3,7 +3,7 @@ import { readFile } from 'fs';
import fromCSV from './from-csv.js';
import fromFixed from './from-fixed.js';
import fromJSON from './from-json.js';
-import fromArrow from '../arrow/from-arrow.js';
+import fromArrow from './from-arrow.js';
import { from } from '../table/index.js';
import isArray from '../util/is-array.js';
@@ -67,7 +67,7 @@ function loadFile(file, options, parse) {
/**
* Load an Arrow file from a URL and return a Promise for an Arquero table.
* @param {string} path The URL or file path to load.
- * @param {LoadOptions & import('../arrow/types.js').ArrowOptions} [options]
+ * @param {LoadOptions & import('../format/types.js').ArrowOptions} [options]
* Arrow format options.
* @return {Promise} A Promise for an Arquero table.
* @example aq.loadArrow('data/table.arrow')
diff --git a/src/format/load-url.js b/src/format/load-url.js
index aded0fd..c1e12a9 100644
--- a/src/format/load-url.js
+++ b/src/format/load-url.js
@@ -1,4 +1,4 @@
-import fromArrow from '../arrow/from-arrow.js';
+import fromArrow from './from-arrow.js';
import fromCSV from './from-csv.js';
import fromFixed from './from-fixed.js';
import fromJSON from './from-json.js';
@@ -43,7 +43,7 @@ export function load(url, options = {}) {
/**
* Load an Arrow file from a URL and return a Promise for an Arquero table.
* @param {string} url The URL to load.
- * @param {LoadOptions & import('../arrow/types.js').ArrowOptions} [options]
+ * @param {LoadOptions & import('./types.js').ArrowOptions} [options]
* Arrow format options.
* @return {Promise} A Promise for an Arquero table.
* @example aq.loadArrow('data/table.arrow')
diff --git a/src/arrow/to-arrow-ipc.js b/src/format/to-arrow-ipc.js
similarity index 61%
rename from src/arrow/to-arrow-ipc.js
rename to src/format/to-arrow-ipc.js
index 9c079ec..e01abfa 100644
--- a/src/arrow/to-arrow-ipc.js
+++ b/src/format/to-arrow-ipc.js
@@ -1,9 +1,9 @@
-import { arrowTableToIPC } from './arrow-table.js';
+import { tableToIPC } from '@uwdata/flechette';
import toArrow from './to-arrow.js';
/**
* Format a table as binary data in the Apache Arrow IPC format.
- * @param {object[]|import('../table/Table.js').Table} data The table data
+ * @param {import('../table/Table.js').Table} data The table data
* @param {import('./types.js').ArrowIPCFormatOptions} [options]
* The Arrow IPC formatting options. Set the *format* option to `'stream'`
* or `'file'` to specify the IPC format.
@@ -11,8 +11,5 @@ import toArrow from './to-arrow.js';
*/
export default function(data, options = {}) {
const { format = 'stream', ...toArrowOptions } = options;
- if (!['stream', 'file'].includes(format)) {
- throw Error('Unrecognised Arrow IPC output format');
- }
- return arrowTableToIPC(toArrow(data, toArrowOptions), format);
+ return tableToIPC(toArrow(data, toArrowOptions), { format });
}
diff --git a/src/format/to-arrow.js b/src/format/to-arrow.js
new file mode 100644
index 0000000..cc9baff
--- /dev/null
+++ b/src/format/to-arrow.js
@@ -0,0 +1,47 @@
+import { columnFromArray, columnFromValues, tableFromColumns } from '@uwdata/flechette';
+import { columns as select } from './util.js';
+import isArrayType from '../util/is-array-type.js';
+
+/**
+ * Create an Apache Arrow table for an input table.
+ * @param {import('../table/Table.js').Table} table
+ * An input Arquero table to convert to Arrow format.
+ * @param {import('./types.js').ArrowFormatOptions} [options]
+ * Encoding options, including column data types.
+ * @return {import('@uwdata/flechette').Table} An Arrow Table instance.
+ */
+export default function(table, options = {}) {
+ const { columns, limit, offset, types = {}, ...opt } = options;
+ const names = select(table, columns);
+ const length = table.size;
+ const data = table.data();
+
+ // make a full table scan with no indirection?
+ const fullScan = offset === 0
+ && table.numRows() <= limit
+ && !table.isFiltered()
+ && !table.isOrdered();
+
+ return tableFromColumns(names.map(name => {
+ const values = data[name];
+ const type = types[name];
+ const isArray = isArrayType(values);
+ let col;
+ if (fullScan && isArray) {
+ // use faster path, take advantange of any typed arrays
+ col = columnFromArray(values, type, opt);
+ } else {
+ // use table scan method to visit column values
+ const get = isArray
+ ? row => values[row]
+ : row => values.at(row);
+ col = columnFromValues(
+ length,
+ visit => table.scan(row => visit(get(row)), true, limit, offset),
+ type,
+ opt
+ );
+ }
+ return [name, col];
+ }));
+}
diff --git a/src/arrow/types.ts b/src/format/types.ts
similarity index 81%
rename from src/arrow/types.ts
rename to src/format/types.ts
index 1f64c76..8142c2a 100644
--- a/src/arrow/types.ts
+++ b/src/format/types.ts
@@ -1,6 +1,6 @@
-import { ExtractionOptions } from '@uwdata/flechette';
-import { DataType } from 'apache-arrow';
+import { ExtractionOptions, TableBuilderOptions } from '@uwdata/flechette';
import type { ColumnType, Select } from '../table/types.js';
+import { ColumnSelectOptions } from './util.js';
/** Arrow input data as bytes or loaded table. */
export type ArrowInput =
@@ -59,26 +59,19 @@ export interface ArrowOptions extends ExtractionOptions {
}
/** Options for Arrow encoding. */
-export interface ArrowFormatOptions {
- /** The maximum number of rows to include (default `Infinity`). */
- limit?: number;
- /**
- * The row offset (default `0`) indicating how many initial rows to skip.
- */
- offset?: number;
+export interface ArrowFormatOptions extends TableBuilderOptions {
/**
* Ordered list of column names to include. If function-valued, the
* function should accept a dataset as input and return an array of
* column name strings. If unspecified all columns are included.
*/
- columns?: string[] | ((data: any) => string[]);
+ columns?: ColumnSelectOptions;
+ /** The maximum number of rows to include (default `Infinity`). */
+ limit?: number;
/**
- * The Arrow data types to use. If specified, the input should be an
- * object with column names for keys and Arrow data types for values.
- * If a column type is not explicitly provided, type inference will be
- * performed to guess an appropriate type.
+ * The row offset (default `0`) indicating how many initial rows to skip.
*/
- types?: Record;
+ offset?: number;
}
/** Options for Arrow IPC encoding. */
diff --git a/src/format/util.js b/src/format/util.js
index 082fa59..c1105b4 100644
--- a/src/format/util.js
+++ b/src/format/util.js
@@ -26,9 +26,15 @@ import isFunction from '../util/is-function.js';
* @typedef {Object.} ColumnAlignOptions
*/
+/**
+ * Return a potentially filtered list of column names.
+ * @param {import('../table/Table.js').Table} table A data table.
+ * @param {ColumnSelectOptions} names The column names to select.
+ * @returns {string[]} The selected column names.
+ */
export function columns(table, names) {
- return isFunction(names)
- ? names(table)
+ // @ts-ignore
+ return isFunction(names) ? names(table)
: names || table.columnNames();
}
diff --git a/src/table/ColumnTable.js b/src/table/ColumnTable.js
index 4332065..a903039 100644
--- a/src/table/ColumnTable.js
+++ b/src/table/ColumnTable.js
@@ -31,8 +31,8 @@ import {
unroll
} from '../verbs/index.js';
import { count } from '../op/op-api.js';
-import toArrow from '../arrow/to-arrow.js';
-import toArrowIPC from '../arrow/to-arrow-ipc.js';
+import toArrow from '../format/to-arrow.js';
+import toArrowIPC from '../format/to-arrow-ipc.js';
import toCSV from '../format/to-csv.js';
import toHTML from '../format/to-html.js';
import toJSON from '../format/to-json.js';
@@ -785,10 +785,10 @@ export class ColumnTable extends Table {
// -- Table Output Formats ------------------------------------------------
/**
- * Format this table as an Apache Arrow table.
- * @param {import('../arrow/types.js').ArrowFormatOptions} [options]
+ * Format this table as an Flechette Arrow table.
+ * @param {import('../format/types.js').ArrowFormatOptions} [options]
* The Arrow formatting options.
- * @return {import('apache-arrow').Table} An Apache Arrow table.
+ * @return {import('@uwdata/flechette').Table} A Flechette Arrow table.
*/
toArrow(options) {
return toArrow(this, options);
@@ -796,7 +796,7 @@ export class ColumnTable extends Table {
/**
* Format this table as binary data in the Apache Arrow IPC format.
- * @param {import('../arrow/types.js').ArrowIPCFormatOptions} [options]
+ * @param {import('../format/types.js').ArrowIPCFormatOptions} [options]
* The Arrow IPC formatting options.
* @return {Uint8Array} A new Uint8Array of Arrow-encoded binary data.
*/
diff --git a/src/table/Table.js b/src/table/Table.js
index 734f8e1..ce79b7a 100644
--- a/src/table/Table.js
+++ b/src/table/Table.js
@@ -602,8 +602,7 @@ export class Table {
* @param {boolean} [order=false] Indicates if the table should be
* scanned in the order determined by *orderby*. This
* argument has no effect if the table is unordered.
- * @property {number} [limit=Infinity] The maximum number of
- * objects to create.
+ * @property {number} [limit=Infinity] The maximum number of row to scan.
* @property {number} [offset=0] The row offset indicating how many
* initial rows to skip.
*/
diff --git a/test/arrow/data-from-test.js b/test/arrow/data-from-test.js
deleted file mode 100644
index a320cd9..0000000
--- a/test/arrow/data-from-test.js
+++ /dev/null
@@ -1,153 +0,0 @@
-import assert from 'node:assert';
-import {
- Bool, DateDay, DateMillisecond, Dictionary, Field, FixedSizeList,
- Float32, Float64, Int16, Int32, Int64, Int8, List, Struct, Table,
- Uint16, Uint32, Uint64, Uint8, Utf8, tableToIPC, vectorFromArray
-} from 'apache-arrow';
-import { dataFromScan } from '../../src/arrow/encode/data-from.js';
-import { scanTable } from '../../src/arrow/encode/scan.js';
-import { table } from '../../src/index.js';
-
-function dataFromTable(table, column, type, nullable) {
- const nrows = table.numRows();
- const scan = scanTable(table, Infinity, 0);
- return dataFromScan(nrows, scan, column, type, nullable);
-}
-
-function integerTest(type) {
- const values = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
-}
-
-function floatTest(type) {
- const values = [0, NaN, 1/3, Math.PI, 7, Infinity, -Infinity];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
-}
-
-function bigintTest(type) {
- const values = [0n, 1n, 10n, 100n, 1000n, 10n ** 10n];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
-}
-
-function dateTest(type) {
- const date = (y, m = 0, d = 1) => new Date(Date.UTC(y, m, d));
- const values = [
- date(2000, 0, 1),
- date(2004, 10, 12),
- date(2007, 3, 14),
- date(2009, 6, 26),
- date(2000, 0, 1),
- date(2004, 10, 12),
- date(2007, 3, 14),
- date(2009, 6, 26),
- date(2000, 0, 1),
- date(2004, 10, 12)
- ];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
-}
-
-function valueTest(type, values, msg) {
- const dt = table({ values });
- const u = dataFromTable(dt, dt.column('values'), type);
- const v = vectorFromArray(values, type);
- const tu = new Table({ values: u });
- const tv = new Table({ values: v });
-
- assert.equal(
- tableToIPC(tu).join(' '),
- tableToIPC(tv).join(' '),
- 'serialized data matches' + msg
- );
-}
-
-describe('dataFrom', () => {
- it('encodes dictionary data', () => {
- const type = new Dictionary(new Utf8(), new Uint32(), 0);
- const values = ['a', 'b', 'FOO', 'b', 'a'];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
- });
-
- it('encodes boolean data', () => {
- const type = new Bool();
- const values = [true, false, false, true, false];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
- });
-
- it('encodes date millis data', () => {
- dateTest(new DateMillisecond());
- });
-
- it('encodes date day data', () => {
- dateTest(new DateDay());
- });
-
- it('encodes int8 data', () => {
- integerTest(new Int8());
- });
-
- it('encodes int16 data', () => {
- integerTest(new Int16());
- });
-
- it('encodes int32 data', () => {
- integerTest(new Int32());
- });
-
- it('encodes int64 data', () => {
- bigintTest(new Int64());
- });
-
- it('encodes uint8 data', () => {
- integerTest(new Uint8());
- });
-
- it('encodes uint16 data', () => {
- integerTest(new Uint16());
- });
-
- it('encodes uint32 data', () => {
- integerTest(new Uint32());
- });
-
- it('encodes uint64 data', () => {
- bigintTest(new Uint64());
- });
-
- it('encodes float32 data', () => {
- floatTest(new Float32());
- });
-
- it('encodes float64 data', () => {
- floatTest(new Float64());
- });
-
- it('encodes list data', () => {
- const field = Field.new({ name: 'value', type: new Int32() });
- const type = new List(field);
- const values = [[1, 2], [3], [4, 5, 6], [7]];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
- });
-
- it('encodes fixed size list data', () => {
- const field = Field.new({ name: 'value', type: new Int32() });
- const type = new FixedSizeList(1, field);
- const values = [[1], [2], [3], [4], [5], [6]];
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
- });
-
- it('encodes struct data', () => {
- const key = Field.new({ name: 'key', type: new Int32() });
- const type = new Struct([key]);
- const values = [1, 2, 3, null, 5, 6].map(key => ({ key }));
- valueTest(type, values, ', without nulls');
- valueTest(type, [null, ...values, null], ', with nulls');
- });
-});
diff --git a/test/arrow/profiler-test.js b/test/arrow/profiler-test.js
deleted file mode 100644
index 900e0ed..0000000
--- a/test/arrow/profiler-test.js
+++ /dev/null
@@ -1,83 +0,0 @@
-import assert from 'node:assert';
-import {
- Float64, Int16, Int32, Int64, Int8,
- Uint16, Uint32, Uint64, Uint8, util
-} from 'apache-arrow';
-import { profiler } from '../../src/arrow/encode/profiler.js';
-
-function profile(array) {
- const p = profiler();
- array.forEach(value => p.add(value));
- return p;
-}
-
-function typeCompare(a, b) {
- return util.compareTypes(a, b);
-}
-
-describe('profiler', () => {
- it('infers integer types', () => {
- const types = {
- uint8: new Uint8(),
- uint16: new Uint16(),
- uint32: new Uint32(),
- int8: new Int8(),
- int16: new Int16(),
- int32: new Int32()
- };
-
- const dt = {
- uint8: [0, 1 << 7, 1 << 8 - 1],
- uint16: [0, 1 << 15, 1 << 16 - 1],
- uint32: [0, 2 ** 31 - 1, 2 ** 32 - 1],
- int8: [-(1 << 7), 0, (1 << 7) - 1],
- int16: [-(1 << 15), 0, (1 << 15) - 1],
- int32: [(1 << 31), 0, 2 ** 31 - 1]
- };
-
- Object.keys(dt).forEach(name => {
- const type = profile(dt[name]).type();
- assert.ok(typeCompare(types[name], type), `${name} type`);
- });
-
- const float = new Float64();
- assert.ok(
- typeCompare(float, profile([0, 1, 2 ** 32]).type()),
- 'overflow to float64 type'
- );
- assert.ok(
- typeCompare(float, profile([(1 << 31), 0, 2 ** 32 - 1]).type()),
- 'overflow to float64 type'
- );
- assert.ok(
- typeCompare(float, profile([(1 << 31) - 1, 0, 1]).type()),
- 'underflow to float64 type'
- );
- });
-
- it('infers bigint types', () => {
- const types = {
- int64: new Int64(),
- uint64: new Uint64()
- };
-
- const dt = {
- int64: [-(2n ** 63n), 0n, (2n ** 63n) - 1n],
- uint64: [0n, 1n, 2n ** 64n - 1n]
- };
-
- Object.keys(dt).forEach(name => {
- const type = profile(dt[name]).type();
- assert.ok(typeCompare(types[name], type), `${name} type`);
- });
-
- assert.throws(
- () => profile([0n, 1n, 2n ** 64n]).type(),
- 'throws on overflow'
- );
- assert.throws(
- () => profile([-(2n ** 63n), 0n, 2n ** 63n]).type(),
- 'throws on underflow'
- );
- });
-});
diff --git a/test/arrow/from-arrow-test.js b/test/format/from-arrow-test.js
similarity index 87%
rename from test/arrow/from-arrow-test.js
rename to test/format/from-arrow-test.js
index 826b85b..6a22da5 100644
--- a/test/arrow/from-arrow-test.js
+++ b/test/format/from-arrow-test.js
@@ -1,23 +1,18 @@
import assert from 'node:assert';
-import { Utf8 } from 'apache-arrow';
+import { tableFromArrays } from 'apache-arrow';
import tableEqual from '../table-equal.js';
-import fromArrow from '../../src/arrow/from-arrow.js';
-import toArrow from '../../src/arrow/to-arrow.js';
-import toArrowIPC from '../../src/arrow/to-arrow-ipc.js';
+import fromArrow from '../../src/format/from-arrow.js';
+import toArrow from '../../src/format/to-arrow.js';
import { not } from '../../src/helpers/selection.js';
import { table } from '../../src/index-browser.js';
-import { tableFromIPC } from '@uwdata/flechette';
+import { Type, utf8 } from '@uwdata/flechette';
-function arrowTable(data, types) {
- return toArrow(table(data), { types });
-}
-
-function arrowIPC(data, types) {
- return toArrowIPC(table(data), { types });
+function arrowTable(data) {
+ return tableFromArrays(data);
}
function flechetteTable(data, types) {
- return tableFromIPC(arrowIPC(data, types));
+ return toArrow(table(data), { types });
}
function getType(table, name) {
@@ -42,7 +37,7 @@ describe('fromArrow', () => {
x: ['cc', 'dd', 'cc', 'dd', 'cc'],
y: ['aa', 'aa', null, 'bb', 'bb']
};
- const at = arrowTable(data, { v: new Utf8() });
+ const at = arrowTable(data);
const dt = fromArrow(at);
tableEqual(dt, data, 'arrow data');
@@ -92,7 +87,7 @@ describe('fromArrow', () => {
x: ['cc', 'dd', 'cc', 'dd', 'cc'],
y: ['aa', 'aa', null, 'bb', 'bb']
};
- const at = flechetteTable(data, { v: new Utf8() });
+ const at = flechetteTable(data, { v: utf8() });
const dt = fromArrow(at);
tableEqual(dt, data, 'arrow data');
@@ -130,7 +125,7 @@ describe('fromArrow', () => {
const l = [[1, 2, 3], null, [4, 5]];
const at = flechetteTable({ l });
- if (getType(at, 'l').typeId !== 12) {
+ if (getType(at, 'l').typeId !== Type.List) {
assert.fail('Arrow column should have List type');
}
tableEqual(fromArrow(at), { l }, 'extract Arrow list');
@@ -140,7 +135,7 @@ describe('fromArrow', () => {
const l = [[1, 2], null, [4, 5]];
const at = flechetteTable({ l });
- if (getType(at, 'l').typeId !== 16) {
+ if (getType(at, 'l').typeId !== Type.FixedSizeList) {
assert.fail('Arrow column should have FixedSizeList type');
}
tableEqual(fromArrow(at), { l }, 'extract Arrow list');
@@ -150,7 +145,7 @@ describe('fromArrow', () => {
const s = [{ foo: 1, bar: [2, 3] }, null, { foo: 2, bar: [4] }];
const at = flechetteTable({ s });
- if (getType(at, 's').typeId !== 13) {
+ if (getType(at, 's').typeId !== Type.Struct) {
assert.fail('Arrow column should have Struct type');
}
tableEqual(fromArrow(at), { s }, 'extract Arrow struct');
@@ -160,7 +155,7 @@ describe('fromArrow', () => {
const s = [{ foo: 1, bar: { bop: 2 } }, { foo: 2, bar: { bop: 3 } }];
const at = flechetteTable({ s });
- if (getType(at, 's').typeId !== 13) {
+ if (getType(at, 's').typeId !== Type.Struct) {
assert.fail('Arrow column should have Struct type');
}
tableEqual(fromArrow(at), { s }, 'extract nested Arrow struct');
diff --git a/test/format/to-arrow-ipc-test.js b/test/format/to-arrow-ipc-test.js
new file mode 100644
index 0000000..a90ff02
--- /dev/null
+++ b/test/format/to-arrow-ipc-test.js
@@ -0,0 +1,64 @@
+import assert from 'node:assert';
+import { table, toArrowIPC } from '../../src/index.js';
+
+describe('toArrowIPC', () => {
+ it('generates the correct output for file option', () => {
+ const dt = table({
+ w: ['a', 'b', 'a'],
+ x: [1, 2, 3],
+ y: [1.6181, 2.7182, 3.1415],
+ z: [true, true, false]
+ });
+
+ const buffer = toArrowIPC(dt, { format: 'file' });
+
+ assert.deepEqual(
+ buffer.slice(0, 8),
+ new Uint8Array([65, 82, 82, 79, 87, 49, 0, 0])
+ );
+ });
+
+ it('generates the correct output for stream option', () => {
+ const dt = table({
+ w: ['a', 'b', 'a'],
+ x: [1, 2, 3],
+ y: [1.6181, 2.7182, 3.1415],
+ z: [true, true, false]
+ });
+
+ const buffer = toArrowIPC(dt, { format: 'stream' });
+
+ assert.deepEqual(
+ buffer.slice(0, 4),
+ new Uint8Array([255, 255, 255, 255])
+ );
+ });
+
+ it('defaults to using stream option', () => {
+ const dt = table({
+ w: ['a', 'b', 'a'],
+ x: [1, 2, 3],
+ y: [1.6181, 2.7182, 3.1415],
+ z: [true, true, false]
+ });
+
+ const buffer = toArrowIPC(dt);
+
+ assert.deepEqual(
+ buffer.slice(0, 4),
+ new Uint8Array([255, 255, 255, 255])
+ );
+ });
+
+ it('throws an error if the format is not stream or file', () => {
+ assert.throws(() => {
+ const dt = table({
+ w: ['a', 'b', 'a'],
+ x: [1, 2, 3],
+ y: [1.6181, 2.7182, 3.1415],
+ z: [true, true, false]
+ });
+ toArrowIPC(dt, { format: 'nonsense' });
+ }, 'Unrecognized output format');
+ });
+});
diff --git a/test/arrow/to-arrow-test.js b/test/format/to-arrow-test.js
similarity index 56%
rename from test/arrow/to-arrow-test.js
rename to test/format/to-arrow-test.js
index 1858f4d..13cf059 100644
--- a/test/arrow/to-arrow-test.js
+++ b/test/format/to-arrow-test.js
@@ -1,10 +1,13 @@
import assert from 'node:assert';
import { readFileSync } from 'node:fs';
import {
- Int8, Type, tableFromIPC, tableToIPC, vectorFromArray
-} from 'apache-arrow';
+ Type, bool, columnFromArray, dateDay, dateMillisecond, dictionary,
+ fixedSizeList, float32, float64, int16, int32, int64, int8, list, struct,
+ tableFromColumns, tableFromIPC, tableToIPC, uint16, uint32, uint64, uint8,
+ utf8
+} from '@uwdata/flechette';
import {
- fromArrow, fromCSV, fromJSON, table, toArrow, toArrowIPC, toJSON
+ fromArrow, fromCSV, fromJSON, table, toArrow, toJSON
} from '../../src/index.js';
function date(year, month=0, date=1, hours=0, minutes=0, seconds=0, ms=0) {
@@ -15,8 +18,8 @@ function utc(year, month=0, date=1, hours=0, minutes=0, seconds=0, ms=0) {
return new Date(Date.UTC(year, month, date, hours, minutes, seconds, ms));
}
-function Int8Vector(data) {
- return vectorFromArray(data, new Int8);
+function Int8Column(data) {
+ return columnFromArray(data, int8());
}
function isArrayType(value) {
@@ -54,6 +57,61 @@ function compareColumns(name, aqt, art) {
return err;
}
+function columnFromTable(table, name, type) {
+ const at = toArrow(table, { types: { [name]: type } });
+ return at.getChild(name);
+}
+
+function integerTest(type) {
+ const values = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
+}
+
+function floatTest(type) {
+ const values = [0, NaN, 1/3, Math.PI, 7, Infinity, -Infinity];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
+}
+
+function bigintTest(type) {
+ const values = [0n, 1n, 10n, 100n, 1000n, 10n ** 10n];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
+}
+
+function dateTest(type) {
+ const date = (y, m = 0, d = 1) => new Date(Date.UTC(y, m, d));
+ const values = [
+ date(2000, 0, 1),
+ date(2004, 10, 12),
+ date(2007, 3, 14),
+ date(2009, 6, 26),
+ date(2000, 0, 1),
+ date(2004, 10, 12),
+ date(2007, 3, 14),
+ date(2009, 6, 26),
+ date(2000, 0, 1),
+ date(2004, 10, 12)
+ ];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
+}
+
+function valueTest(type, values, msg) {
+ const dt = table({ values });
+ const u = columnFromTable(dt, 'values', type);
+ const v = columnFromArray(values, type);
+ const tu = tableFromColumns({ values: u });
+ const tv = tableFromColumns({ values: v });
+
+ assert.equal(
+ tableToIPC(tu).join(' '),
+ tableToIPC(tv).join(' '),
+ 'serialized data matches' + msg
+ );
+}
+
describe('toArrow', () => {
it('produces Arrow data for an input table', () => {
const dt = table({
@@ -65,7 +123,7 @@ describe('toArrow', () => {
d: [date(2000,0,1), date(2000,1,2), null, date(2010,6,9), date(2018,0,1), date(2020,10,3)],
u: [utc(2000,0,1), utc(2000,1,2), null, utc(2010,6,9), utc(2018,0,1), utc(2020,10,3)],
e: [null, null, null, null, null, null],
- v: Int8Vector([10, 9, 8, 7, 6, 5]),
+ v: Int8Column([10, 9, 8, 7, 6, 5]),
a: [[1, null, 3], [4, 5], null, [6, 7], [8, 9], []],
l: [[1], [2], [3], [4], [5], [6]],
o: [1, 2, 3, null, 5, 6].map(v => v ? { key: v } : null)
@@ -78,11 +136,6 @@ describe('toArrow', () => {
'arquero and arrow tables match'
);
- assert.equal(
- compareTables(dt, toArrow(dt.objects())), 0,
- 'object array and arrow tables match'
- );
-
const buffer = tableToIPC(at);
const bt = tableFromIPC(buffer);
@@ -107,11 +160,6 @@ describe('toArrow', () => {
'arquero and arrow tables match'
);
- assert.equal(
- compareTables(st, toArrow(st.objects())), 0,
- 'object array and arrow tables match'
- );
-
const buffer = tableToIPC(at);
assert.equal(
@@ -125,12 +173,10 @@ describe('toArrow', () => {
);
});
- it('handles ambiguously typed data', async () => {
- const at = toArrow(table({ x: [1, 2, 3, 'foo'] }));
- assert.deepEqual(
- [...at.getChild('x')],
- ['1', '2', '3', 'foo'],
- 'fallback to string type if a string is observed'
+ it('throws on ambiguously typed data', async () => {
+ assert.throws(
+ () => toArrow(table({ x: [1, 2, 3, 'foo'] })),
+ 'fail on mixed types'
);
assert.throws(
@@ -207,7 +253,7 @@ describe('toArrow', () => {
});
const at = toArrow(dt, {
- types: { w: Type.Utf8, x: Type.Int32, y: Type.Float32 }
+ types: { w: utf8(), x: int32(), y: float32() }
});
const types = ['w', 'x', 'y', 'z'].map(name => at.getChild(name).type);
@@ -220,66 +266,87 @@ describe('toArrow', () => {
assert.equal(types[1].bitWidth, 32, 'int32');
assert.equal(types[2].precision, 1, 'float32');
});
-});
-describe('toArrowIPC', () => {
- it('generates the correct output for file option', () => {
- const dt = table({
- w: ['a', 'b', 'a'],
- x: [1, 2, 3],
- y: [1.6181, 2.7182, 3.1415],
- z: [true, true, false]
- });
+ it('encodes dictionary data', () => {
+ const type = dictionary(utf8(), int32());
+ const values = ['a', 'b', 'FOO', 'b', 'a'];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
+ });
- const buffer = toArrowIPC(dt, { format: 'file' });
+ it('encodes boolean data', () => {
+ const type = bool();
+ const values = [true, false, false, true, false];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
+ });
- assert.deepEqual(
- buffer.slice(0, 8),
- new Uint8Array([65, 82, 82, 79, 87, 49, 0, 0])
- );
+ it('encodes date millis data', () => {
+ dateTest(dateMillisecond());
});
- it('generates the correct output for stream option', () => {
- const dt = table({
- w: ['a', 'b', 'a'],
- x: [1, 2, 3],
- y: [1.6181, 2.7182, 3.1415],
- z: [true, true, false]
- });
+ it('encodes date day data', () => {
+ dateTest(dateDay());
+ });
- const buffer = toArrowIPC(dt, { format: 'stream' });
+ it('encodes int8 data', () => {
+ integerTest(int8());
+ });
- assert.deepEqual(
- buffer.slice(0, 8),
- new Uint8Array([255, 255, 255, 255, 88, 1, 0, 0])
- );
+ it('encodes int16 data', () => {
+ integerTest(int16());
});
- it('defaults to using stream option', () => {
- const dt = table({
- w: ['a', 'b', 'a'],
- x: [1, 2, 3],
- y: [1.6181, 2.7182, 3.1415],
- z: [true, true, false]
- });
+ it('encodes int32 data', () => {
+ integerTest(int32());
+ });
- const buffer = toArrowIPC(dt);
+ it('encodes int64 data', () => {
+ bigintTest(int64());
+ });
- assert.deepEqual(
- buffer.slice(0, 8),
- new Uint8Array([255, 255, 255, 255, 88, 1, 0, 0])
- );
+ it('encodes uint8 data', () => {
+ integerTest(uint8());
+ });
+
+ it('encodes uint16 data', () => {
+ integerTest(uint16());
+ });
+
+ it('encodes uint32 data', () => {
+ integerTest(uint32());
+ });
+
+ it('encodes uint64 data', () => {
+ bigintTest(uint64());
+ });
+
+ it('encodes float32 data', () => {
+ floatTest(float32());
+ });
+
+ it('encodes float64 data', () => {
+ floatTest(float64());
+ });
+
+ it('encodes list data', () => {
+ const type = list(int32());
+ const values = [[1, 2], [3], [4, 5, 6], [7]];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
+ });
+
+ it('encodes fixed size list data', () => {
+ const type = fixedSizeList(int32(), 1);
+ const values = [[1], [2], [3], [4], [5], [6]];
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
});
- it('throws an error if the format is not stream or file', () => {
- assert.throws(() => {
- const dt = table({
- w: ['a', 'b', 'a'],
- x: [1, 2, 3],
- y: [1.6181, 2.7182, 3.1415],
- z: [true, true, false]
- });
- toArrowIPC(dt, { format: 'nonsense' });
- }, 'Unrecognized output format');
+ it('encodes struct data', () => {
+ const type = struct({ key: int32() });
+ const values = [1, 2, 3, null, 5, 6].map(key => ({ key }));
+ valueTest(type, values, ', without nulls');
+ valueTest(type, [null, ...values, null], ', with nulls');
});
});
diff --git a/test/verbs/reify-test.js b/test/verbs/reify-test.js
index 228695e..5976942 100644
--- a/test/verbs/reify-test.js
+++ b/test/verbs/reify-test.js
@@ -1,5 +1,5 @@
import tableEqual from '../table-equal.js';
-import { fromArrow, table, toArrowIPC } from '../../src/index.js';
+import { from, fromArrow, table, toArrowIPC } from '../../src/index.js';
describe('reify', () => {
it('materializes filtered and ordered tables', () => {
@@ -19,12 +19,12 @@ describe('reify', () => {
});
it('preserves binary data', () => {
- const data = [
+ const data = from([
{ a: 1.0, b: 'a', c: [1], d: new Date(2000, 0, 1, 1) },
{ a: 1.3, b: 'b', c: [2], d: new Date(2001, 1, 1, 2) },
{ a: 1.5, b: 'c', c: [3], d: new Date(2002, 2, 1, 3) },
{ a: 1.7, b: 'd', c: [4], d: new Date(2003, 3, 1, 4) }
- ];
+ ]);
const dt = fromArrow(toArrowIPC(data));
const rt = dt.filter(d => d.b !== 'c').reify();