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Posted to commits@lucene.apache.org by no...@apache.org on 2017/10/03 13:39:27 UTC
[46/50] [abbrv] lucene-solr:feature/autoscaling: SOLR-10842: replace
quickstart.mdtext content with link to Ref Guide tutorial
SOLR-10842: replace quickstart.mdtext content with link to Ref Guide tutorial
Project: http://git-wip-us.apache.org/repos/asf/lucene-solr/repo
Commit: http://git-wip-us.apache.org/repos/asf/lucene-solr/commit/5b3a5152
Tree: http://git-wip-us.apache.org/repos/asf/lucene-solr/tree/5b3a5152
Diff: http://git-wip-us.apache.org/repos/asf/lucene-solr/diff/5b3a5152
Branch: refs/heads/feature/autoscaling
Commit: 5b3a5152bdf11758b5a02efb60568098fe825d45
Parents: 266cc82
Author: Cassandra Targett <ct...@apache.org>
Authored: Mon Oct 2 17:14:11 2017 -0500
Committer: Cassandra Targett <ct...@apache.org>
Committed: Mon Oct 2 17:14:11 2017 -0500
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solr/site/quickstart.mdtext | 614 +--------------------------------------
1 file changed, 4 insertions(+), 610 deletions(-)
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http://git-wip-us.apache.org/repos/asf/lucene-solr/blob/5b3a5152/solr/site/quickstart.mdtext
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diff --git a/solr/site/quickstart.mdtext b/solr/site/quickstart.mdtext
index fcd9be0..92f593d 100644
--- a/solr/site/quickstart.mdtext
+++ b/solr/site/quickstart.mdtext
@@ -1,612 +1,6 @@
-# Solr Quick Start
-
-## Overview
-
-This document covers getting Solr up and running, ingesting a variety of data sources into multiple collections,
-and getting a feel for the Solr administrative and search interfaces.
-
-## Requirements
-
-To follow along with this tutorial, you will need...
-
-1. To meet the [system requirements](SYSTEM_REQUIREMENTS.html)
-2. An Apache Solr release ([download](http://lucene.apache.org/solr/downloads.html)). This tutorial was written using Apache Solr 6.2.0.
-
-## Getting Started
-
-Please run the browser showing this tutorial and the Solr server on the same machine so tutorial links will correctly
-point to your Solr server.
-
-Begin by unzipping the Solr release and changing your working directory to the subdirectory where Solr was installed.
-Note that the base directory name may vary with the version of Solr downloaded. For example, with a shell in UNIX,
-Cygwin, or MacOS:
-
- /:$ ls solr*
- solr-X.Y.Z.zip
- /:$ unzip -q solr-X.Y.Z.zip
- /:$ cd solr-X.Y.Z/
-
-Note that "X.Y.Z" will be replaced by an official Solr version (i.e. 6.4.3, 7.0.0, etc.)
-
-To launch Solr, run: `bin/solr start -e cloud -noprompt`
-
- /solr-X.Y.Z:$ bin/solr start -e cloud -noprompt
-
- Welcome to the SolrCloud example!
-
- Starting up 2 Solr nodes for your example SolrCloud cluster.
- ...
-
- Started Solr server on port 8983 (pid=8404). Happy searching!
- ...
-
- Started Solr server on port 7574 (pid=8549). Happy searching!
- ...
-
- SolrCloud example running, please visit http://localhost:8983/solr
-
- /solr-X.Y.Z:$ _
-
-You can see that the Solr is running by loading the Solr Admin UI in your web browser: <http://localhost:8983/solr/>.
-This is the main starting point for administering Solr.
-
-Solr will now be running two "nodes", one on port 7574 and one on port 8983. There is one collection created
-automatically, `gettingstarted`, a two shard collection, each with two replicas.
-The [Cloud tab](http://localhost:8983/solr/#/~cloud) in the Admin UI diagrams the collection nicely:
-
-<img alt="Solr Quick Start: SolrCloud diagram" style="width:800px" src="images/quickstart-solrcloud.png" />
-
-## Indexing Data
-
-Your Solr server is up and running, but it doesn't contain any data. The Solr install includes the `bin/post` tool in
-order to facilitate getting various types of documents easily into Solr from the start. We'll be
-using this tool for the indexing examples below.
-
-You'll need a command shell to run these examples, rooted in the Solr install directory; the shell from where you
-launched Solr works just fine.
-
-* NOTE: Currently the `bin/post` tool does not have a comparable Windows script, but the underlying Java program invoked
-is available. See the
-[Post Tool, Windows section](https://cwiki.apache.org/confluence/display/solr/Post+Tool#PostTool-Windows)
-for details.
-
-### Indexing a directory of "rich" files
-
-Let's first index local "rich" files including HTML, PDF, Microsoft Office formats (such as MS Word), plain text and
-many other formats. `bin/post` features the ability to crawl a directory of files, optionally recursively even,
-sending the raw content of each file into Solr for extraction and indexing. A Solr install includes a `docs/`
-subdirectory, so that makes a convenient set of (mostly) HTML files built-in to start with.
-
- bin/post -c gettingstarted docs/
-
-Here's what it'll look like:
-
- /solr-X.Y.Z:$ bin/post -c gettingstarted docs/
- java -classpath /solr-X.Y.Z/dist/solr-core-X.Y.Z.jar -Dauto=yes -Dc=gettingstarted -Ddata=files -Drecursive=yes org.apache.solr.util.SimplePostTool docs/
- SimplePostTool version 5.0.0
- Posting files to [base] url http://localhost:8983/solr/gettingstarted/update...
- Entering auto mode. File endings considered are xml,json,jsonl,csv,pdf,doc,docx,ppt,pptx,xls,xlsx,odt,odp,ods,ott,otp,ots,rtf,htm,html,txt,log
- Entering recursive mode, max depth=999, delay=0s
- Indexing directory docs (3 files, depth=0)
- POSTing file index.html (text/html) to [base]/extract
- POSTing file quickstart.html (text/html) to [base]/extract
- POSTing file SYSTEM_REQUIREMENTS.html (text/html) to [base]/extract
- Indexing directory docs/changes (1 files, depth=1)
- POSTing file Changes.html (text/html) to [base]/extract
- ...
- 4329 files indexed.
- COMMITting Solr index changes to http://localhost:8983/solr/gettingstarted/update...
- Time spent: 0:01:16.252
-
-The command-line breaks down as follows:
-
- * `-c gettingstarted`: name of the collection to index into
- * `docs/`: a relative path of the Solr install `docs/` directory
-
-You have now indexed thousands of documents into the `gettingstarted` collection in Solr and committed these changes.
-You can search for "solr" by loading the Admin UI [Query tab](http://localhost:8983/solr/#/gettingstarted/query),
-enter "solr" in the `q` param (replacing `*:*`, which matches all documents), and "Execute Query".
-See the [Searching](#searching) section below for more information.
-
-To index your own data, re-run the directory indexing command pointed to your own directory of documents. For example,
-on a Mac instead of `docs/` try `~/Documents/` or `~/Desktop/`! You may want to start from a clean, empty system
-again rather than have your content in addition to the Solr `docs/` directory; see the Cleanup section [below](#cleanup)
-for how to get back to a clean starting point.
-
-### Indexing Solr XML
-
-Solr supports indexing structured content in a variety of incoming formats. The historically predominant format for
-getting structured content into Solr has been
-[Solr XML](https://cwiki.apache.org/confluence/display/solr/Uploading+Data+with+Index+Handlers#UploadingDatawithIndexHandlers-XMLFormattedIndexUpdates).
-Many Solr indexers have been coded to process domain content into Solr XML output, generally HTTP POSTed directly to
-Solr's `/update` endpoint.
-
-<a name="techproducts"></a>
-Solr's install includes a handful of Solr XML formatted files with example data (mostly mocked tech product data).
-NOTE: This tech product data has a more domain-specific configuration, including schema and browse UI. The `bin/solr`
-script includes built-in support for this by running `bin/solr start -e techproducts` which not only starts Solr but
-also then indexes this data too (be sure to `bin/solr stop -all` before trying it out).
-However, the example below assumes Solr was started with `bin/solr start -e cloud` to stay consistent with all examples
-on this page, and thus the collection used is "gettingstarted", not "techproducts".
-
-Using `bin/post`, index the example Solr XML files in `example/exampledocs/`:
-
- bin/post -c gettingstarted example/exampledocs/*.xml
-
-Here's what you'll see:
-
- /solr-X.Y.Z:$ bin/post -c gettingstarted example/exampledocs/*.xml
- java -classpath /solr-X.Y.Z/dist/solr-core-X.Y.Z.jar -Dauto=yes -Dc=gettingstarted -Ddata=files org.apache.solr.util.SimplePostTool example/exampledocs/gb18030-example.xml ...
- SimplePostTool version 5.0.0
- Posting files to [base] url http://localhost:8983/solr/gettingstarted/update...
- Entering auto mode. File endings considered are xml,json,jsonl,csv,pdf,doc,docx,ppt,pptx,xls,xlsx,odt,odp,ods,ott,otp,ots,rtf,htm,html,txt,log
- POSTing file gb18030-example.xml (application/xml) to [base]
- POSTing file hd.xml (application/xml) to [base]
- POSTing file ipod_other.xml (application/xml) to [base]
- POSTing file ipod_video.xml (application/xml) to [base]
- POSTing file manufacturers.xml (application/xml) to [base]
- POSTing file mem.xml (application/xml) to [base]
- POSTing file money.xml (application/xml) to [base]
- POSTing file monitor.xml (application/xml) to [base]
- POSTing file monitor2.xml (application/xml) to [base]
- POSTing file mp500.xml (application/xml) to [base]
- POSTing file sd500.xml (application/xml) to [base]
- POSTing file solr.xml (application/xml) to [base]
- POSTing file utf8-example.xml (application/xml) to [base]
- POSTing file vidcard.xml (application/xml) to [base]
- 14 files indexed.
- COMMITting Solr index changes to http://localhost:8983/solr/gettingstarted/update...
- Time spent: 0:00:02.077
-
-...and now you can search for all sorts of things using the default
-[Solr Query Syntax](https://cwiki.apache.org/confluence/display/solr/The+Standard+Query+Parser#TheStandardQueryParser-SpecifyingTermsfortheStandardQueryParser)
-(a superset of the Lucene query syntax)...
-
-NOTE:
-You can browse the documents indexed at <http://localhost:8983/solr/gettingstarted/browse>. The `/browse` UI allows
-getting a feel for how Solr's technical capabilities can be worked with in a familiar, though a bit rough and
-prototypical, interactive HTML view. (The `/browse` view defaults to assuming the `gettingstarted` schema and data
-are a catch-all mix of structured XML, JSON, CSV example data, and unstructured rich documents. Your own data may not
-look ideal at first, though the `/browse` templates are customizable.)
-
-### Indexing JSON
-
-Solr supports indexing JSON, either arbitrary structured JSON or "Solr JSON" (which is similar to Solr XML).
-
-Solr includes a small sample Solr JSON file to illustrate this capability. Again using `bin/post`, index the
-sample JSON file:
-
- bin/post -c gettingstarted example/exampledocs/books.json
-
-You'll see:
-
- /solr-X.Y.Z:$ bin/post -c gettingstarted example/exampledocs/books.json
- java -classpath /solr-X.Y.Z/dist/solr-core-X.Y.Z.jar -Dauto=yes -Dc=gettingstarted -Ddata=files org.apache.solr.util.SimplePostTool example/exampledocs/books.json
- SimplePostTool version 5.0.0
- Posting files to [base] url http://localhost:8983/solr/gettingstarted/update...
- Entering auto mode. File endings considered are xml,json,jsonl,csv,pdf,doc,docx,ppt,pptx,xls,xlsx,odt,odp,ods,ott,otp,ots,rtf,htm,html,txt,log
- POSTing file books.json (application/json) to [base]/json/docs
- 1 files indexed.
- COMMITting Solr index changes to http://localhost:8983/solr/gettingstarted/update...
- Time spent: 0:00:00.493
-
-For more information on indexing Solr JSON, see the Solr Reference Guide section
-[Solr-Style JSON](https://cwiki.apache.org/confluence/display/solr/Uploading+Data+with+Index+Handlers#UploadingDatawithIndexHandlers-Solr-StyleJSON)
-
-To flatten (and/or split) and index arbitrary structured JSON, a topic beyond this quick start guide, check out
-[Transforming and Indexing Custom JSON data](https://cwiki.apache.org/confluence/display/solr/Uploading+Data+with+Index+Handlers#UploadingDatawithIndexHandlers-TransformingandIndexingCustomJSON).
-
-### Indexing CSV (Comma/Column Separated Values)
-
-A great conduit of data into Solr is via CSV, especially when the documents are homogeneous by all having the
-same set of fields. CSV can be conveniently exported from a spreadsheet such as Excel, or exported from databases such
-as MySQL. When getting started with Solr, it can often be easiest to get your structured data into CSV format and then
-index that into Solr rather than a more sophisticated single step operation.
-
-Using `bin/post` index the included example CSV file:
-
- bin/post -c gettingstarted example/exampledocs/books.csv
-
-In your terminal you'll see:
-
- /solr-X.Y.Z:$ bin/post -c gettingstarted example/exampledocs/books.csv
- java -classpath /solr-X.Y.Z/dist/solr-core-X.Y.Z.jar -Dauto=yes -Dc=gettingstarted -Ddata=files org.apache.solr.util.SimplePostTool example/exampledocs/books.csv
- SimplePostTool version 5.0.0
- Posting files to [base] url http://localhost:8983/solr/gettingstarted/update...
- Entering auto mode. File endings considered are xml,json,jsonl,csv,pdf,doc,docx,ppt,pptx,xls,xlsx,odt,odp,ods,ott,otp,ots,rtf,htm,html,txt,log
- POSTing file books.csv (text/csv) to [base]
- 1 files indexed.
- COMMITting Solr index changes to http://localhost:8983/solr/gettingstarted/update...
- Time spent: 0:00:00.109
-
-For more information, see the Solr Reference Guide section
-[CSV Formatted Index Updates](https://cwiki.apache.org/confluence/display/solr/Uploading+Data+with+Index+Handlers#UploadingDatawithIndexHandlers-CSVFormattedIndexUpdates)
-
-### Other indexing techniques
-
-* Import records from a database using the
-[Data Import Handler (DIH)](https://cwiki.apache.org/confluence/display/solr/Uploading+Structured+Data+Store+Data+with+the+Data+Import+Handler).
-
-* Use [SolrJ](https://cwiki.apache.org/confluence/display/solr/Using+SolrJ) from JVM-based languages or
-other [Solr clients](https://cwiki.apache.org/confluence/display/solr/Client+APIs) to programmatically create documents
-to send to Solr.
-
-* Use the Admin UI [Documents tab](http://localhost:8983/solr/#/gettingstarted/documents) to paste in a document to be
-indexed, or select `Document Builder` from the `Document Type` dropdown to build a document one field at a time.
-Click on the `Submit Document` button below the form to index your document.
-
-***
-
-## Updating Data
-
-You may notice that even if you index content in this guide more than once, it does not duplicate the results found.
-This is because the example `schema.xml` specifies a "`uniqueKey`" field called "`id`". Whenever you POST commands to
-Solr to add a document with the same value for the `uniqueKey` as an existing document, it automatically replaces it
-for you. You can see that that has happened by looking at the values for `numDocs` and `maxDoc` in the core-specific
-Overview section of the Solr Admin UI.
-
-`numDocs` represents the number of searchable documents in the index (and will be larger than the number of XML, JSON,
-or CSV files since some files contained more than one document). The maxDoc value may be larger as the maxDoc count
-includes logically deleted documents that have not yet been physically removed from the index. You can re-post the
-sample files over and over again as much as you want and `numDocs` will never increase, because the new documents will
-constantly be replacing the old.
-
-Go ahead and edit any of the existing example data files, change some of the data, and re-run the SimplePostTool
-command. You'll see your changes reflected in subsequent searches.
-
-## Deleting Data
-
-You can delete data by POSTing a delete command to the update URL and specifying the value of the document's unique key
-field, or a query that matches multiple documents (be careful with that one!). Since these commands are smaller, we
-specify them right on the command line rather than reference a JSON or XML file.
-
-Execute the following command to delete a specific document:
-
- bin/post -c gettingstarted -d "<delete><id>SP2514N</id></delete>"
-
-
-## Searching
-
-Solr can be queried via REST clients, cURL, wget, Chrome POSTMAN, etc., as well as via the native clients available for
-many programming languages.
+<!-- As of 2 Oct 2017, this page now automatically redirects to
+ the Solr Reference Guide page solr/guide/solr-tutorial.html -->
-The Solr Admin UI includes a query builder interface - see the `gettingstarted` query tab at
-<http://localhost:8983/solr/#/gettingstarted/query>. If you click the `Execute Query` button without changing anything
-in the form, you'll get 10 documents in JSON format (`*:*` in the `q` param matches all documents):
-
-<img style="border:1px solid #ccc; width:800px" src="images/quickstart-query-screen.png" alt="Solr Quick Start: gettingstarted Query tab"/>
-
-The URL sent by the Admin UI to Solr is shown in light grey near the top right of the above screenshot - if you click on
-it, your browser will show you the raw response. To use cURL, give the same URL in quotes on the `curl` command line:
-
- curl "http://localhost:8983/solr/gettingstarted/select?q=*:*"
-
-
-### Basics
-
-#### Search for a single term
-
-To search for a term, give it as the `q` param value in the core-specific Solr Admin UI Query section, replace `*:*`
-with the term you want to find. To search for "foundation":
-
- curl "http://localhost:8983/solr/gettingstarted/select?q=foundation"
-
-You'll see:
-
- $ curl "http://localhost:8983/solr/gettingstarted/select?q=foundation"
- {
- "responseHeader":{
- "zkConnected":true,
- "status":0,
- "QTime":527,
- "params":{
- "q":"foundation",
- "indent":"true",
- "wt":"json"}},
- "response":{"numFound":4156,"start":0,"maxScore":0.10203234,"docs":[
- {
- "id":"0553293354",
- "cat":["book"],
- "name":["Foundation"],
- ...
-
-The response indicates that there are 4,156 hits (`"numFound":4156`), of which the first 10 were returned, since by
-default `start=0` and `rows=10`. You can specify these params to page through results, where `start` is the
-(zero-based) position of the first result to return, and `rows` is the page size.
-
-To restrict fields returned in the response, use the `fl` param, which takes a comma-separated list of field names.
-E.g. to only return the `id` field:
-
- curl "http://localhost:8983/solr/gettingstarted/select?q=foundation&fl=id"
-
-`q=foundation` matches nearly all of the docs we've indexed, since most of the files under `docs/` contain
-"The Apache Software Foundation". To restrict search to a particular field, use the syntax "`q=field:value`",
-e.g. to search for `Foundation` only in the `name` field:
-
- curl "http://localhost:8983/solr/gettingstarted/select?q=name:Foundation"
-
-The above request returns only one document (`"numFound":1`) - from the response:
-
- ...
- "response":{"numFound":1,"start":0,"maxScore":2.5902672,"docs":[
- {
- "id":"0553293354",
- "cat":["book"],
- "name":["Foundation"],
- ...
-
-#### Phrase search
-
-To search for a multi-term phrase, enclose it in double quotes: `q="multiple terms here"`. E.g. to search for
-"CAS latency" - note that the space between terms must be converted to "`+`" in a URL (the Admin UI will handle URL
-encoding for you automatically):
-
- curl "http://localhost:8983/solr/gettingstarted/select?indent=true&q=\"CAS+latency\""
-
-You'll get back:
-
- {
- "responseHeader":{
- "zkConnected":true,
- "status":0,
- "QTime":391,
- "params":{
- "q":"\"CAS latency\"",
- "indent":"true",
- "wt":"json"}},
- "response":{"numFound":3,"start":0,"maxScore":22.027056,"docs":[
- {
- "id":"TWINX2048-3200PRO",
- "name":["CORSAIR XMS 2GB (2 x 1GB) 184-Pin DDR SDRAM Unbuffered DDR 400 (PC 3200) Dual Channel Kit System Memory - Retail"],
- "manu":["Corsair Microsystems Inc."],
- "manu_id_s":"corsair",
- "cat":["electronics", "memory"],
- "features":["CAS latency 2, 2-3-3-6 timing, 2.75v, unbuffered, heat-spreader"],
- ...
-
-#### Combining searches
-
-By default, when you search for multiple terms and/or phrases in a single query, Solr will only require that one of them
-is present in order for a document to match. Documents containing more terms will be sorted higher in the results list.
-
-You can require that a term or phrase is present by prefixing it with a "`+`"; conversely, to disallow the presence of a
-term or phrase, prefix it with a "`-`".
-
-To find documents that contain both terms "`one`" and "`three`", enter `+one +three` in the `q` param in the
-Admin UI Query tab. Because the "`+`" character has a reserved purpose in URLs (encoding the space character),
-you must URL encode it for `curl` as "`%2B`":
-
- curl "http://localhost:8983/solr/gettingstarted/select?q=%2Bone+%2Bthree"
-
-To search for documents that contain the term "`two`" but **don't** contain the term "`one`", enter `+two -one` in the
-`q` param in the Admin UI. Again, URL encode "`+`" as "`%2B`":
-
- curl "http://localhost:8983/solr/gettingstarted/select?q=%2Btwo+-one"
-
-#### In depth
-
-For more Solr search options, see the Solr Reference Guide's
-[Searching](https://cwiki.apache.org/confluence/display/solr/Searching) section.
-
-
-### Faceting
-
-One of Solr's most popular features is faceting. Faceting allows the search results to be arranged into subsets (or
-buckets or categories), providing a count for each subset. There are several types of faceting: field values, numeric
-and date ranges, pivots (decision tree), and arbitrary query faceting.
-
-#### Field facets
-
-In addition to providing search results, a Solr query can return the number of documents that contain each unique value
-in the whole result set.
-
-From the core-specific Admin UI Query tab, if you check the "`facet`" checkbox, you'll see a few facet-related options
-appear:
-
-<img style="border:1px solid #ccc" src="images/quickstart-admin-ui-facet-options.png" alt="Solr Quick Start: Query tab facet options"/>
-
-To see facet counts from all documents (`q=*:*`): turn on faceting (`facet=true`), and specify the field to facet on via
-the `facet.field` param. If you only want facets, and no document contents, specify `rows=0`. The `curl` command below
-will return facet counts for the `manu_id_s` field:
-
- curl 'http://localhost:8983/solr/gettingstarted/select?q=*:*&rows=0'\
- '&facet=true&facet.field=manu_id_s'
-
-In your terminal, you'll see:
-
- {
- "responseHeader":{
- "zkConnected":true,
- "status":0,
- "QTime":201,
- "params":{
- "q":"*:*",
- "facet.field":"manu_id_s",
- "indent":"true",
- "rows":"0",
- "wt":"json",
- "facet":"true"}},
- "response":{"numFound":4374,"start":0,"maxScore":1.0,"docs":[]
- },
- "facet_counts":{
- "facet_queries":{},
- "facet_fields":{
- "manu_id_s":[
- "corsair",3,
- "belkin",2,
- "canon",2,
- "apple",1,
- "asus",1,
- "ati",1,
- "boa",1,
- "dell",1,
- "eu",1,
- "maxtor",1,
- "nor",1,
- "uk",1,
- "viewsonic",1,
- "samsung",0]},
- "facet_ranges":{},
- "facet_intervals":{},
- "facet_heatmaps":{}}}
-
-#### Range facets
-
-For numerics or dates, it's often desirable to partition the facet counts into ranges rather than discrete values.
-A prime example of numeric range faceting, using the example product data, is `price`. In the `/browse` UI, it looks
-like this:
-
-<img style="border:1px solid #ccc" src="images/quickstart-range-facet.png" alt="Solr Quick Start: Range facets"/>
-
-The data for these price range facets can be seen in JSON format with this command:
-
- curl 'http://localhost:8983/solr/gettingstarted/select?q=*:*&rows=0'\
- '&facet=true'\
- '&facet.range=price'\
- '&f.price.facet.range.start=0'\
- '&f.price.facet.range.end=600'\
- '&f.price.facet.range.gap=50'\
- '&facet.range.other=after'
-
-In your terminal you will see:
-
- {
- "responseHeader":{
- "zkConnected":true,
- "status":0,
- "QTime":248,
- "params":{
- "facet.range":"price",
- "q":"*:*",
- "f.price.facet.range.start":"0",
- "facet.range.other":"after",
- "indent":"on",
- "f.price.facet.range.gap":"50",
- "rows":"0",
- "wt":"json",
- "facet":"true",
- "f.price.facet.range.end":"600"}},
- "response":{"numFound":4374,"start":0,"maxScore":1.0,"docs":[]
- },
- "facet_counts":{
- "facet_queries":{},
- "facet_fields":{},
- "facet_ranges":{
- "price":{
- "counts":[
- "0.0",19,
- "50.0",1,
- "100.0",0,
- "150.0",2,
- "200.0",0,
- "250.0",1,
- "300.0",1,
- "350.0",2,
- "400.0",0,
- "450.0",1,
- "500.0",0,
- "550.0",0],
- "gap":50.0,
- "after":2,
- "start":0.0,
- "end":600.0}},
- "facet_intervals":{},
- "facet_heatmaps":{}}}
-
-#### Pivot facets
-
-Another faceting type is pivot facets, also known as "decision trees", allowing two or more fields to be nested for all
-the various possible combinations. Using the example technical product data, pivot facets can be used to see how many
-of the products in the "book" category (the `cat` field) are in stock or not in stock. Here's how to get at the raw
-data for this scenario:
-
- curl 'http://localhost:8983/solr/gettingstarted/select?q=*:*&rows=0&facet=on&facet.pivot=cat,inStock'
-
-This results in the following response (trimmed to just the book category output), which says out of 14 items in the
-"book" category, 12 are in stock and 2 are not in stock:
-
- ...
- "facet_pivot":{
- "cat,inStock":[{
- "field":"cat",
- "value":"book",
- "count":14,
- "pivot":[{
- "field":"inStock",
- "value":true,
- "count":12},
- {
- "field":"inStock",
- "value":false,
- "count":2}]},
- ...
-
-#### More faceting options
-
-For the full scoop on Solr faceting, visit the Solr Reference Guide's
-[Faceting](https://cwiki.apache.org/confluence/display/solr/Faceting) section.
-
-
-### Spatial
-
-Solr has sophisticated geospatial support, including searching within a specified distance range of a given location
-(or within a bounding box), sorting by distance, or even boosting results by the distance. Some of the example tech
-products documents in `example/exampledocs/*.xml` have locations associated with them to illustrate the spatial
-capabilities. To run the tech products example, see the [techproducts example section](#techproducts). Spatial queries
-can be combined with any other types of queries, such as in this example of querying for "ipod" within 10 kilometers
-from San Francisco:
-
-<img style="border:1px solid #ccc; width:800px" src="images/quickstart-spatial.png" alt="Solr Quick Start: spatial search"/>
-
-The URL to this example is
-<http://localhost:8983/solr/techproducts/browse?q=ipod&pt=37.7752%2C-122.4232&d=10&sfield=store&fq=%7B%21bbox%7D&queryOpts=spatial&queryOpts=spatial>,
-leveraging the `/browse` UI to show a map for each item and allow easy selection of the location to search near.
-
-To learn more about Solr's spatial capabilities, see the Solr Reference Guide's
-[Spatial Search](https://cwiki.apache.org/confluence/display/solr/Spatial+Search) section.
-
-## Wrapping up
-
-If you've run the full set of commands in this quick start guide you have done the following:
-
-* Launched Solr into SolrCloud mode, two nodes, two collections including shards and replicas
-* Indexed a directory of rich text files
-* Indexed Solr XML files
-* Indexed Solr JSON files
-* Indexed CSV content
-* Opened the admin console, used its query interface to get JSON formatted results
-* Opened the /browse interface to explore Solr's features in a more friendly and familiar interface
-
-Nice work! The script (see below) to run all of these items took under two minutes! (Your run time may vary, depending
-on your computer's power and resources available.)
-
-Here's a Unix script for convenient copying and pasting in order to run the key commands for this quick start guide:
-
- date
- bin/solr start -e cloud -noprompt
- open http://localhost:8983/solr
- bin/post -c gettingstarted docs/
- open http://localhost:8983/solr/gettingstarted/browse
- bin/post -c gettingstarted example/exampledocs/*.xml
- bin/post -c gettingstarted example/exampledocs/books.json
- bin/post -c gettingstarted example/exampledocs/books.csv
- bin/post -c gettingstarted -d "<delete><id>SP2514N</id></delete>"
- bin/solr healthcheck -c gettingstarted
- date
-
-## Cleanup
-
-As you work through this guide, you may want to stop Solr and reset the environment back to the starting point.
-The following command line will stop Solr and remove the directories for each of the two nodes that the start script
-created:
-
- bin/solr stop -all ; rm -Rf example/cloud/
-
-## Where to next?
-
-For more information on Solr, check out the following resources:
-
- * [Solr Reference Guide](https://cwiki.apache.org/confluence/display/solr/Apache+Solr+Reference+Guide) (ensure you
- match the version of the reference guide with your version of Solr)
- * See also additional [Resources](http://lucene.apache.org/solr/resources.html)
+# Solr Quick Start
+Please see the [Solr Tutorial](https://lucene.apache.org/solr/guide/solr-tutorial.html) or additional [Resources](http://lucene.apache.org/solr/resources.html).