osm-pbf-parser-node
v1.1.4
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Streaming OpenStreetMap PBF parser for Node.js
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osm-pbf-parser-node
Streaming OpenStreetMap PBF parser
This Node.js module reads a stream in osm.pbf format and transforms it into a readable stream of OSM entities (header, nodes, ways and relations).
The module uses (more or less) recent Javascript features, like the nullish coalescing (??) operator, so it will not work with older versions of Node.js. Works for me on version 16.13.
Example
import { createOSMStream } from 'osm-pbf-parser-node';
for await (let item of createOSMStream('path-to-file.osm.pbf'))
console.log(item);
The output will look like the following.
The OSM Header block:
{
bbox: { left: -95159650000, right: -74309980000, top: 57508260000, bottom: 41637700000 },
required_features: [ 'OsmSchema-V0.6', 'DenseNodes' ],
optional_features: [],
writingprogram: 'osmium/1.14.0',
source: '',
osmosis_replication_timestamp: 1658434914,
osmosis_replication_sequence_number: 3403,
osmosis_replication_base_url: 'http://download.geofabrik.de/north-america/canada/ontario-updates'
}
For every node:
{
"type":"node",
"id":3406566,
"lat":35.3320358,
"lon":33.330649,
"tags": {
"highway":"traffic_signals",
"is_in":"Ozanköy; Girne; Kuzey Kıbrıs Türk Cumhuriyeti"
},
"info": {
"version":30,
"timestamp":"2021-11-29T20:15:45Z",
"changeset":nnnnn,
"uid":nnnnn,
"user":"xxxxx"
}
}
For every way:
{
"type":"way",
"id":3990794,
"refs":[20883417,5028923737,5028923736, ...],
"tags":{
"man_made":"breakwater"
},
"info":{ ... }
}
For every relation:
{
"type":"relation",
"id":69898,
"members":[
{"type":"node","ref":268094888,"role":"via"},
{"type":"way","ref":24665096,"role":"to"},
{"type":"way","ref":708939399,"role":"from"}
],
"tags":{
"restriction":"no_right_turn","type":"restriction"
}
"info":{ ... }
}
The properties tags
and info
are optional.
The info
fields are similar for all three object types.
Also, according to https://download.geofabrik.de/technical.html, the metadata
fields info.user
, info.uid
and info.changeset
are removed from public osm.pbf downloads since May 2018.
Installation
npm install osm-pbf-parser-node
Usage
The module exports an async generator function:
export async function* createOSMStream(file: string, opts?: OSMOptions):
AsyncGenerator<object, void, unknown>;
The arguments are path to the input file in the osm.pbf format and an object with the following properties:
withTags
- whether to include (and which) tags into the output. Can be a boolean, or an object {node: what, way: what, relation: what}, where each what is in turn eithertrue
(the default) orfalse
or an array of tag keys to include. In the latter case all other tags are not included, sowithTags.node == []
is the same aswithTags.node = false
.withInfo
- whether to include metadata information into output.writeRaw
- iftrue
, send raw OSMData block to the output, see an example below.
The defaults are:
{ withTags: true, withInfo: false, writeRaw: false }
The module also exports the OSMTransform class:
import { Transform } from 'node:stream';
export class OSMTransform extends Transform {
constructor(osmopts?: OSMOptions, opts?: TransformOptions);
}
This class can be used in a chain of pipes like this:
new Promise(resolve => {
createReadStream('path-to-file.osm.pbf')
.pipe(new OSMTransform(osmopts))
.pipe(consume)
.on('finish', resolve);
});
where consume
is the next Writable. For example,
the following code just prints out all received objects:
const consume = new Transform.PassThrough({
objectMode: true,
transform: (items, enc, next) => {
for (let item of items)
console.log(item);
next();
}
});
Note that the Writable side always receives arrays of items. The length of such arrays can vary from 1 (e.g. for OSMHeader) to several thousands. The order of items in the output is always the same as the order in the input stream.
The following example shows how to use OSMTransform for reading directly from an URL:
import { get as http_get } from 'node:http';
new Promise((resolve, reject) => {
http_get(url, res => {
if (res.statusCode != 200) {
console.log(`got status code ${res.statusCode} ${res.statusMessage}`);
return reject('request failed');
}
res.pipe(new OSMTransform(osmopts))
.pipe(consume)
.on('finish', resolve);
});
});
See file test.js
for a complete example.
Raw output
If writeRaw
is true
, OSMTransform pushes compressed OSMData blocks
into output. In this case the next Writable in the pipeline should
inflate the data blocks and call parse
to convert them into an array
of nodes, etc. The package export this function as:
export function parse(osmdata: Buffer, options: OSMTransform|OSMOptions): Array<object>;
For example:
new Promise(resolve => {
createReadStream(file)
.pipe(new OSMTransform({writeRaw: true}))
.pipe(rawWritable)
.on('finish', resolve)
.on('error', e => console.error(e));
});
where the RawWritable class does the job:
const rawWritable = new Writable({
objectMode: true,
write(chunk, enc, next) {
if (chunk instanceof Buffer) {
let buf = inflateSync(chunk);
let batch = parse(buf, {withTags: true, withInfo: false});
// ... do something with batch
} else
// chunk[0] contains OSM Header
next();
}
});
Performance
The script test.js
does nothing but counts nodes, ways and relations
in the input stream. Here is the speed of parsing canada-latest.osm.pbf
as of Nov. 2022, about 2.75 GB in size, using OSMTransform with
withTags=true, withInfo=false:
on ASUS StudioBook (i7-9750H, DDR4-2666): 2m50s, about 2.37 millions items per second.
on Intel NUC-12 (i9-12900, DDR4-3200, NVMe SSD): 1m55s, about 3.5 millions items per second.
For some reason parsing of really big files is slower. Parsing 67GB of planet-latest.osm.pbf took 1h22m (1.8 millions items per second) on NUC-12.
The speed of createOSMStream is about 1.6 times lower, apparently because it executes
yield
millions of times.
Limitations
The OSMData blocks are supposed to be inflatable by inflate
from node:zlib
,
the compressed data in zlib_data
. Other compression methods are not
implemented.
Notes
This module uses the synchronous inflateSync
from node:zlib
.
The asynchronous inflate
may result in a better speed, but
I haven't seen more that 10% faster. On the other hand it
uses considerably more memory. To my opinion, using the writeRaw
mode
and worker threads on the Writable side leads to much better results.
The proto files have been updated from https://github.com/openstreetmap/OSM-binary/tree/master/osmpbf and compiled by the Mapbox pbf compiler.