I understand that DSE 5.1 runs Solr 6.0 version.
I am trying to use facet.pivot feature using Solr local paramater, but it does not seem to be working.
My data is as follows
Simple 4 fields
What I need is to group the result by name field so as to get sum(money) for each Year. I believe facet.pivot with local parameter can solve but not working with DSE 5.1.
From:Solr documentation
Combining Stats Component With Pivots
In addition to some of the general local parameters supported by other types of faceting, a stats local parameters can be used with facet.pivot to refer to stats.field instances (by tag) that you would like to have computed for each Pivot Constraint.
Here is what I want to use.
stats=true&stats.field={!tag=piv1}money&facet=true&facet.pivot={!stats=piv1}name
If you're trying to execute these queries from solr_query within CQL, the stats component is not supported. We keep the faceting to simple parameters as the purpose is to provide more GROUP By type functionality in solr_query, not analytics.
With DSE 5.1 (Solr 6.0.1), and the desire for analytics with Solr, use the HTTP's JSON Facet API from Solr. It has replaced the stats component and provides what you are looking for in a more robust fashion.
Related
I've got a process storing RedisTimeSeries data in a Redis instance on Docker. I can access the data just fine with the RedisInsight CLI:
I can also add Redis as a data source to Grafana:
I've imported the dashboards:
But when I actually try to import the data into a Grafana dashboard, the query just sits there:
TS.RANGE with a value of - +, or two timestamps, also produces nothing: (I do get results when entering it into the CLI, but not as a CLI query in Grafana.
What could I be missing?
The command you should be using in the Grafana dashboard for retrieving and visualising the data in time series stored in Redis with RedisTimeSeries is TS.RANGE for a specific key, or TS.MRANGE in combination with a filter that selects a set of time series matching this filter. List of commands with RedisTimeSeries: https://oss.redislabs.com/redistimeseries/commands/ (you're using TS.INFO which does only retrieve metadata of time series key, not the actual samples within)
So I looked into this a bit more. Moderators deleted my last answer because it didn't 'answer' the question.
There is a github issue for this. One of the developers also responded. It is broken and has been for awhile. Grafana doesn't seem to want to maintain this datasource at the moment. IMHO they should remove the redis timeseries support from their plugin library if it isn't fully baked.
[redis datasource issue for TS.RANGE]
[1]: https://github.com/RedisGrafana/grafana-redis-datasource/issues/254
Are you trying to display a graph (eg, number of people vs time)? If so, perhaps that TS.INFO is not the right command and you should use something like TS.MRANGE.
Take a look at
https://redislabs.com/blog/how-to-use-the-new-redis-data-source-for-grafana-plug-in/
for some more examples.
I am currently trying to get synonym search to work on multiple nodes via Datastax Studio if possible. The installation was done through OpsCenter with 3 nodes using DSE Search + Graph. I have seen various posts regarding this and the approaches consists of directly changing schema.xml. However, as I am using multiple nodes I am unsure if that is the way to approach this.
I have also tried to look information from datastax docs but couldn't find what i needed, hence, any advise or directions on this would be greatly appreciated. In an Ideal world it would be great if I am able to do synonym search through the graph(gremlin) interface.
For Graph the only option is to create necessary indexes, then get the existing schema.xml via dsetool get_core_schema, do modifications, and load it again with dsetool reload_core - the reloading of core should be done in every data center, but not on every machine of the data center...
Don't forget, that before reloading the core with modified schema, you need to upload synonym files with dsetool write_resource.
See the DSE Search documentation for full list of the options for dsetool command.
Speaking about the latest version (currently 2.3). Seems like old-way a little bit useless now.
If it is possible to create table(s) manually, here comes another question: how to map model POJO's fields and column names so I can fill in cache using DataStreamers. (#QuerySqlField.name, isn't it?)
If you are going to populate cache with data, using DataStreamer, then you should create it using Java API, or by configuring it in Ignite XML configuration.
Tables can be configured, using indexedTypes or queryEntities properties in CacheConfiguration. Take a look at the documentation: https://apacheignite.readme.io/docs/cache-queries#section-query-configuration-by-annotations
I am implementing an Express Web service using CouchBase as my database. To get all documents stored in a bucket, i created a view using the web console.
My question is if there is a way to do the same thing but without creating a view or using N1QL.
I was looking at the Couchbase Server REST API, but i didn't found a way.
Thank you
You could design your schema around something like this. I am thinking of a key pattern specifically that would allow for a bulk get of a range of docs.
Beyond that, there is no way without a view or N1QL.
In Couchbase 3.0 and higher, you can also use DCP to stream all documents from a bucket. Currently the DCP protocol is only implemented in java, you can see an example here: http://github.com/branor/couchbase-dcp-consumer
Note that there is a problem in the 1.1.0+ version of the couchbase core-io library, so you need to use version 1.1.0-dp (developer preview) to open a stream. DCP support in the SDK is still experimental, so I wouldn't use it in production yet.
Create a document that will hold the keys of all your documents.
While inserting a key value pair in couchbase, also append the key to that document.
Eg:
<Key1, Value1>
<Key2, Value2>
.
.
.
<Keyx, Valuex>
<All_Keys, <Key1, Key2, Key3...Keyx>>
To get all the documents,
Just do a client.get("All_Keys") and then do a client.getBulk() operation.
I have a CKAN datastore with a column named "recvTime" of type timestamp (i.e. using "timestamp" as type at datastore_create time, as shown in this link). Example value for this column is "2014-06-12T16:08:39.542000".
I have a large numbers of records in the datastore (thousands) and I would like to delete the rows before a given date in "recvTime". My first thought was doing it using the REST API with the datastore_delete operation using a range filter, but it is not possible as described in the following Q&A.
Is there any other way of solving the issue, please?
Given that I have access to the host where CKAN server is running, I wonder if this could be achieved executing a regular SQL sentence on the Postgresql engine where the datastore is persisted. However, I haven't found information about manipulating the CKAN underlying datamodel in the CKAN documentation, so don't know if this a good idea or if it is risky...
Any workaround or information pointer is highly welcome. Thanks!
You could definitely do this directly on the underlying database if you were willing to dig in there (the structure is pretty simple with tables named after the corresponding resource id). You could even turn this into an API of your own using an extension (though you'd want to be careful about permissions).
You might also be interested in the new support (master only atm) for extending the DataStore API via a plugin in an extension - see https://github.com/ckan/ckan/pull/1725