I have a GeoJSON file that looks like this:
{
"type": "FeatureCollection",
"crs": {
"type": "link",
"properties": {
"href": "http://spatialreference.org/ref/epsg/32198/proj4/",
"type": "proj4"
}
},
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [200000, 20000]
},
"properties": {
"id": 1,
"name": "foo"
}
}
]
}
As you can see, the crs definition uses the link type, which is documented here: http://geojson.org/geojson-spec.html#linked-crs
I'm dropping the file in an OL3 map that has the ol.interaction.DragDrop interaction enabled, but it fails to load it. OpenLayers 3 doesn't currently support this type of crs definition, thus the reason it fails to load it. It supports those of type name and EPSG, see: https://github.com/openlayers/ol3/blob/master/src/ol/format/geojsonformat.js#L484 (snippet below):
if (crs.type == 'name') {
return ol.proj.get(crs.properties.name);
} else if (crs.type == 'EPSG') {
// 'EPSG' is not part of the GeoJSON specification, but is generated by
// GeoServer.
// TODO: remove this when http://jira.codehaus.org/browse/GEOS-5996
// is fixed and widely deployed.
return ol.proj.get('EPSG:' + crs.properties.code);
} else {
goog.asserts.fail('Unknown crs.type: ' + crs.type);
return null;
}
Looking at it, I don't know if it would be possible to natively support the link type inside OpenLayers directly, as it would require to do an asynchronous request to fetch the projection definition within code that's synchronous. I suspect that I'm stuck with this problem.
I'm looking for an alternative to approach the problem, or maybe I'm just wrong about the fact that it could be possible to support this (with a proper patch) natively in OL3.
Any hint ?
Alexandre, your best bet is to avoid using the old GeoJSON linked CRS (which is very poorly supported by software) and either 1) convert your data to GeoJSON's default WGS84 long/lat – this is the best option by far or 2) use a CRS name like "urn:ogc:def:crs:EPSG::32198".
Related
Currently making a project in Laravel that uses MapboxGLJS. I've currently got a database server that I'm connected to that contains comments which I need to convert to a GeoJSON FeatureCollection that includes the ID and the spacial data. I've seen an example of the code to do this which I'll provide below but when I try to use said code and try to use the addSource Mapbox method it comes back with Error: Input data is not a valid GeoJSON object..
CommentController.php
...
public function all(){
$comments = Comment::whereNotNull('user_id')->get();
$mapFeatures = array();
$mapFeatures['type'] = 'FeatureCollection';
$mapFeatures['name'] = 'comments';
$mapFeatures['crs'] = array(
'type' => 'name',
'properties' => array(
'name' => 'urn:ogc:def:crs:OGC:1.3:CRS84'
),
);
$mapFeatures['features'] = array();
foreach ($comments as $comment) {
$mapItem = array(
'type' => 'Feature',
'properties' => array(
'id' => $comment->id,
),
'geometry' => $comment->location
);
array_push($mapFeatures['features'], $mapItem);
}
return json_encode($mapFeatures);
}
...
Using Postman I collected the following from the api request:
{
"type": "FeatureCollection",
"name": "comments",
"crs": {
"type": "name",
"properties": {
"name": "urn:ogc:def:crs:OGC:1.3:CRS84"
}
},
"features": [
{
"type": "Feature",
"properties": {
"id": 143
},
"geometry": "0101000020E6100000E17A14AE47E111C085EB51B81E054A40"
},
...
]
}
Running the data through https://geojsonlint.com/ it comes back with Line 1: old-style crs member is not recommended, this object is equivalent to the default and should be removed. Also stating that geometry was expected as an object but got a string which I assume is to do with the crs property not decoding the geometry correctly.
Is there a different crs that I need in order to get the geometry to be correctly decoded?
I unfortunately cannot change the data on the database to include a lat/long geometry as the current data is being used by another project which relies on it being in this format.
This:
"0101000020E6100000E17A14AE47E111C085EB51B81E054A40"
is not a GeoJSON geometry. I'm not sure exactly what it is. It looks like PostGIS's native format (see here) but I don't know what that is called or how to convert from it outside PostGIS.
A GeoJSON geometry would look like:
{
"type": "LineString",
"coordinates": [[...]]
}
If you have access to the PostGIS queries, you should use the ST_AsGeoJSON function.
This has nothing to do with CRS's - the message is just telling you not to bother adding that crs property, assuming that your data is in EPSG:4326.
Discovered there is a package specifically to fix this issue available here:
https://github.com/mstaack/laravel-postgis
This just needs to be installed and referenced in the Controller that gets the coordinates.
I have generic repository "my_repo". I uploaded files there from jenkins with to paths like my_repo/branch_buildNumber/package.tar.gz and with custom property "tag" like "1.9.0","1.10.0" etc. I want to get item/file with latest/newest tag.
I tried to modify Example 2 from this link ...
https://www.jfrog.com/confluence/display/JFROG/Using+File+Specs#UsingFileSpecs-Examples
... and add sorting and limit the way it was done here ...
https://www.jfrog.com/confluence/display/JFROG/Artifactory+Query+Language#ArtifactoryQueryLanguage-limitDisplayLimitsandPagination
But im getting "unknown property desc" error.
The Jenkins Artifactory Plugin, like most of the JFrog clients, supports File Specs for downloading and uploading generic files.
The File Specs schema is described here. When creating a File Spec for downloading files, you have the option of using the "pattern" property, which can include wildcards. For example, the following spec downloads all the zip files from the my-local-repo repository into the local froggy directory:
{
"files": [
{
"pattern": "my-local-repo/*.zip",
"target": "froggy/"
}
]
}
Alternatively, you can use "aql" instead of "pattern". The following spec, provides the same result as the previous one:
{
"files": [
{
"aql": {
"items.find": {
"repo": "my-local-repo",
"$or": [
{
"$and": [
{
"path": {
"$match": "*"
},
"name": {
"$match": "*.zip"
}
}
]
}
]
}
},
"target": "froggy/"
}
]
}
The allowed AQL syntax inside File Specs does not include everything the Artifactory Query Language allows. For examples, you can't use the "include" or "sort" clauses. These limitations were put in place, to make the response structure known and constant.
Sorting however is still available with File Specs, regardless of whether you choose to use "pattern" or "aql". It is supported throw the "sortBy", "sortOrder", "limit" and "offset" File Spec properties.
For example, the following File Spec, will download only the 3 largest zip file files:
{
"files": [
{
"aql": {
"items.find": {
"repo": "my-local-repo",
"$or": [
{
"$and": [
{
"path": {
"$match": "*"
},
"name": {
"$match": "*.zip"
}
}
]
}
]
}
},
"sortBy": ["size"],
"sortOrder": "desc",
"limit": 3,
"target": "froggy/"
}
]
}
And you can do the same with "pattern", instead of "aql":
{
"files": [
{
"pattern": "my-local-repo/*.zip",
"sortBy": ["size"],
"sortOrder": "desc",
"limit": 3,
"target": "local/output/"
}
]
}
You can read more about File Specs here.
(After answering this question here, we also updated the File Specs documentation with these examples).
After a lot of testing and experimenting i found that there are many ways of solving my main problem (getting latest version of package) but each of way require some function which is available in paid version. Like sort() in AQL or [RELEASE] in REST API. But i found that i still can get JSON with a full list of files and its properties. I can also download each single file. This led me to solution with simple python script. I can't publish whole but only the core which should bu fairly obvious
import requests, argparse
from packaging import version
...
query="""
items.find({
"type" : "file",
"$and":[{
"repo" : {"$match" : \"""" + args.repository + """\"},
"path" : {"$match" : \"""" + args.path + """\"}
}]
}).include("name","repo","path","size","property.*")
"""
auth=(args.username,args.password)
def clearVersion(ver: str):
new = ''
for letter in ver:
if letter.isnumeric() or letter == ".":
new+=letter
return new
def lastestArtifact(response: requests):
response = response.json()
latestVer = "0.0.0"
currentItemIndex = 0
chosenItemIndex = 0
for results in response["results"]:
for prop in results['properties']:
if prop["key"] == "tag":
if version.parse(clearVersion(prop["value"])) > version.parse(clearVersion(latestVer)):
latestVer = prop["value"]
chosenItemIndex = currentItemIndex
currentItemIndex += 1
return response["results"][chosenItemIndex]
req = requests.post(url,data=query,auth=auth)
if args.verbose:
print(req.text)
latest = lastestArtifact(req)
...
I just want to point that THIS IS NOT permanent solution. We just didnt want to buy license yet only because of one single problem. But if there will be more of such problems then we definetly buy PRO subscription.
Amazon Elasticsearch Service offers k-Nearest Neighbor (k-NN) search which can enhance search by similarity use cases.
https://aws.amazon.com/about-aws/whats-new/2020/03/build-k-nearest-neighbor-similarity-search-engine-with-amazon-elasticsearch-service/
I tried this official code that I found here...
https://github.com/opendistro-for-elasticsearch/k-NN
PUT /myindex
{
"settings" : {
"index": {
"knn": true
}
},
"mappings": {
"properties": {
"my_vector1": {
"type": "knn_vector",
"dimension": 2
},
"my_vector2": {
"type": "knn_vector",
"dimension": 4
},
"my_vector3": {
"type": "knn_vector",
"dimension": 8
}
}
}
}
Getting this error:
"unknown setting [index.knn] please check that any required plugins
are installed, or check the breaking changes documentation for removed
settings"
How do I check if my Elastic installation supports this feature?
t2.small and t2.medium instance types are not supported. (It is not mentioned anywhere in the documentation.) It worked as expected when r5.large instance type was selected.
I am using swagger 2.0. I have a response object defined in "definitions" by the name "mobilePrice".
I have another response object named "Offer" which has properties "PriceOne" and "PriceTwo" referencing "mobilePrice".
Code looks like this:
"mobilePrice": {
"properties": {
"amount": {
"type": "string"
}
}
}
"Offer": {
"properties": {
"PriceOne": {
"$ref": "mobilePrice"
},
"PriceTwo": {
"$ref": "mobilePrice"
}
}
}
When I try to see it on swagger UI. It does not show me the "PriceTwo" property at all.
On trying various things , I figured that , the problem is occurring because of response object "mobilePrice" being referenced more than once. Can someone help me allow the reference to the same object more than once.
Thank You in advance
First, you should fix your references. It may work not, but it officially that's not the right way, and support for it may be dropped. The correct form would be:
"$ref": "#/definitions/mobilePrice"
Second, the behavior you describe is a known issue. You can follow progress of it here - https://github.com/swagger-api/swagger-js/issues/186.
Elasticsearch experts,
I have been unable to find a simple way to just tell ElasticSearch to insert the _timestamp field for all the documents that are added in all the indices (and all document types).
I see an example for specific types:
http://www.elasticsearch.org/guide/reference/mapping/timestamp-field/
and also see an example for all indices for a specific type (using _all):
http://www.elasticsearch.org/guide/reference/api/admin-indices-put-mapping/
but I am unable to find any documentation on adding it by default for all documents that get added irrespective of the index and type.
Elasticsearch used to support automatically adding timestamps to documents being indexed, but deprecated this feature in 2.0.0
From the version 5.5 documentation:
The _timestamp and _ttl fields were deprecated and are now removed. As a replacement for _timestamp, you should populate a regular date field with the current timestamp on application side.
You can do this by providing it when creating your index.
$curl -XPOST localhost:9200/test -d '{
"settings" : {
"number_of_shards" : 1
},
"mappings" : {
"_default_":{
"_timestamp" : {
"enabled" : true,
"store" : true
}
}
}
}'
That will then automatically create a _timestamp for all stuff that you put in the index.
Then after indexing something when requesting the _timestamp field it will be returned.
Adding another way to get indexing timestamp. Hope this may help someone.
Ingest pipeline can be used to add timestamp when document is indexed. Here, is a sample example:
PUT _ingest/pipeline/indexed_at
{
"description": "Adds indexed_at timestamp to documents",
"processors": [
{
"set": {
"field": "_source.indexed_at",
"value": "{{_ingest.timestamp}}"
}
}
]
}
Earlier, elastic search was using named-pipelines because of which 'pipeline' param needs to be specified in the elastic search endpoint which is used to write/index documents. (Ref: link) This was bit troublesome as you would need to make changes in endpoints on application side.
With Elastic search version >= 6.5, you can now specify a default pipeline for an index using index.default_pipeline settings. (Refer link for details)
Here is the to set default pipeline:
PUT ms-test/_settings
{
"index.default_pipeline": "indexed_at"
}
I haven't tried out yet, as didn't upgraded to ES 6.5, but above command should work.
You can make use of default index pipelines, leverage the script processor, and thus emulate the auto_now_add functionality you may know from Django and DEFAULT GETDATE() from SQL.
The process of adding a default yyyy-MM-dd HH:mm:ss date goes like this:
1. Create the pipeline and specify which indices it'll be allowed to run on:
PUT _ingest/pipeline/auto_now_add
{
"description": "Assigns the current date if not yet present and if the index name is whitelisted",
"processors": [
{
"script": {
"source": """
// skip if not whitelisted
if (![ "myindex",
"logs-index",
"..."
].contains(ctx['_index'])) { return; }
// don't overwrite if present
if (ctx['created_at'] != null) { return; }
ctx['created_at'] = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date());
"""
}
}
]
}
Side note: the ingest processor's Painless script context is documented here.
2. Update the default_pipeline setting in all of your indices:
PUT _all/_settings
{
"index": {
"default_pipeline": "auto_now_add"
}
}
Side note: you can restrict the target indices using the multi-target syntax:
PUT myindex,logs-2021-*/_settings?allow_no_indices=true
{
"index": {
"default_pipeline": "auto_now_add"
}
}
3. Ingest a document to one of the configured indices:
PUT myindex/_doc/1
{
"abc": "def"
}
4. Verify that the date string has been added:
GET myindex/_search
An example for ElasticSearch 6.6.2 in Python 3:
from elasticsearch import Elasticsearch
es = Elasticsearch(hosts=["localhost"])
timestamp_pipeline_setting = {
"description": "insert timestamp field for all documents",
"processors": [
{
"set": {
"field": "ingest_timestamp",
"value": "{{_ingest.timestamp}}"
}
}
]
}
es.ingest.put_pipeline("timestamp_pipeline", timestamp_pipeline_setting)
conf = {
"settings": {
"number_of_shards": 2,
"number_of_replicas": 1,
"default_pipeline": "timestamp_pipeline"
},
"mappings": {
"articles":{
"dynamic": "false",
"_source" : {"enabled" : "true" },
"properties": {
"title": {
"type": "text",
},
"content": {
"type": "text",
},
}
}
}
}
response = es.indices.create(
index="articles_index",
body=conf,
ignore=400 # ignore 400 already exists code
)
print ('\nresponse:', response)
doc = {
'title': 'automatically adding a timestamp to documents',
'content': 'prior to version 5 of Elasticsearch, documents had a metadata field called _timestamp. When enabled, this _timestamp was automatically added to every document. It would tell you the exact time a document had been indexed.',
}
res = es.index(index="articles_index", doc_type="articles", id=100001, body=doc)
print(res)
res = es.get(index="articles_index", doc_type="articles", id=100001)
print(res)
About ES 7.x, the example should work after removing the doc_type related parameters as it's not supported any more.
first create index and properties of the index , such as field and datatype and then insert the data using the rest API.
below is the way to create index with the field properties.execute the following in kibana console
`PUT /vfq-jenkins
{
"mappings": {
"properties": {
"BUILD_NUMBER": { "type" : "double"},
"BUILD_ID" : { "type" : "double" },
"JOB_NAME" : { "type" : "text" },
"JOB_STATUS" : { "type" : "keyword" },
"time" : { "type" : "date" }
}}}`
the next step is to insert the data into that index:
curl -u elastic:changeme -X POST http://elasticsearch:9200/vfq-jenkins/_doc/?pretty
-H Content-Type: application/json -d '{
"BUILD_NUMBER":"83","BUILD_ID":"83","JOB_NAME":"OMS_LOG_ANA","JOB_STATUS":"SUCCESS" ,
"time" : "2019-09-08'T'12:39:00" }'