Live SQL. Module 1. Module 2. Module 3. Module 4. The default collection metadata has the following characteristics. Document keys are automatically generated for documents that you add to the collection.
When you create a collection you can specify things such as the following: Storage details, such as the name of the table that stores the collection and the names and data types of its columns. The presence or absence of columns for creation timestamp, last-modified timestamp, and version.
Whether the collection can store only JSON documents. Methods of document key generation, and whether document keys are client-assigned or generated automatically. Methods of version generation. Module 5. Module 6. It then iterates over that list, printing out the names. Module 7. If the collection cannot be dropped because of uncommitted write operations then an exception is thrown.
If the collection is dropped successfully, the returned status is 1; otherwise, the status is 0. In particular, if a collection with the specified name does not exist, the returned status is 0 — no exception is thrown. Module 8. Module 9. The example provides only the document content which is the same for each. The content parameter is different in each case; it specifies the SQL data type to use to store the content. After creating each document, the example uses getter methods to get the document content.
The document with content type BLOB would be appropriate for writing to the collection created earlier, because that collection which has the default metadata accepts documents with only BLOB content.
The other two documents would not be appropriate for that collection; trying to insert them would raise an error. Module Creating a Document with key and JSON Content This example is similar to the previous example, but it provides the document key myKey as well as the document content.
These methods create document keys automatically, unless the collection is configured with client-assigned keys and the input document provides the key. It then gets and prints each of the generated components from the result document which contains them. Replacing a Document in a Collection and getting the result Document This example replaces a document in a collection, given its key.
It then gets and prints the key and the generated components from the result document. It then uses the cursor in a WHILE statement to get and print the content of each document in the result list, as a string.
Finally, it closes the cursor. Finding Multiple Documents with Specified Document Keys This example defines key list myKeys, with string keys "key1", "key2", and "key3".The following example shows three code examples. Additionally, a column heading is added.
This example returns only the rows for Product that have a product line of R and that have days to manufacture that is less than 4. The following examples return all rows from the Product table. The first example returns total sales and the discounts for each product. In the second example, the total revenue is calculated for each product. The following first example creates a temporary table named Bicycles in tempdb.
A correlated subquery is a query that depends on the outer query for its values. This query can be executed repeatedly, one time for each row that may be selected by the outer query. Both are examples of a valid subquery that retrieves one instance of each product name for which the product model is a long sleeve logo jersey, and the ProductModelID numbers match between the Product and ProductModel tables. The next example uses IN and retrieves one instance of the first and last name of each employee for which the bonus in the SalesPerson table is The previous subquery in this statement cannot be evaluated independently of the outer query.
It requires a value for Employee.
This example finds the product models for which the maximum list price is more than twice the average for the model.
This example uses two correlated subqueries to find the names of employees who have sold a particular product. The following example finds the average price and the sum of year-to-date sales, grouped by product ID and special offer ID. The following example groups by an expression. You can group by an expression if the expression does not include aggregate functions.
The following example finds the average price of each type of product and orders the results by average price.
It groups the rows in the SalesOrderDetail table by product ID and eliminates products whose average order quantities are five or less.
It also organizes the results by ProductID. The query looks like this:.The default Solr query syntax used to search an index uses a superset of the Lucene query syntax. The main query for a solr search is specified via the q parameter. The response section will normally contain the top ranking documents for the query. In this example, no documents matched the query. In the debug section, one can see how the query was parsed, and the fact that text was used as the default field to search.
In this example text is the field name, and hello is the word we are going to match in that field. Internally, a phrase query is created when the fieldType produces multiple terms for the given value. For the example above, the fieldType splits on whitespace and lowercases the result, and we get two terms… [ yonikseeley ].
If our fieldType had been stringa single term of yonik seeley would have been produced since string fields do not change values or do text analysis in any way.
This query will match text containing solr analyticssolr faceted analytics edit distance 1and analytics solr edit distance 1. It will not match solr super faceted analytics or analytics faceted solr since those would both require an edit distance of 2 to get the terms into the matching positions. When there are no mandatory clauses, at least one of the optional clauses in a query must match for the full query to match.
The example query above will thus match documents containing solr or search or both in the default search field. Semantics: solr and search must both match, highlight must not match. The query above just demonstrates an optional syntax for specifying multiple clauses with the same field.
The query above uses parenthesis for precedence. Both solr and either analytics or faceting must match in the title field or in the body field. The boost is multiplied into the normal score for the clause and will affect its importance relative to other clauses. A range query selects documents with values between a specified lower and upper bound. Range queries work on numeric fields, date fields, and even string and text fields. A ConstantScoreQuery is like a boosted query, but it produces the same score for every document that matches the query.
The score produced is equal to the query boost. Since Solr 5. Since scores are not cached, all documents that match the filter produce the same score 0 by default. Cached filters will be extremely fast when they are used again in another query.
Normal fq support is limited to top-level conjunctions. However when normal top-level fq filter caching can be used, that form is preferred. Comments can be nested.DDL, DML, DCL & TCL statements in SQL (Database basics)
First we need to install ORDS. Download the ORDS file and unzip it into a new folder. Click Install:. Provide the connection information to the database. ORDS :. Define the port where the REST service is listening:. Finish the installation. Now, ORDS is installed on the localhostand the server is listening on the port you configured, in the above example for requests. You can pick an existing schema e.
SCOTT or create a new one. Also, we disable security authentication, etc in order to show simple REST requests without adding security related complexity. If you see JSON being returned in response to the request than the installation was successful. We do this with a PUT request, here performed using Postman. After this, the same URL we invoked before to list all collectionswill show our newly added collection called customers:.
Columns are included to store an auto-generated version, last-modified timestamp, and creation-time. Here, the default collection metadata settings are used. Adding a document is a POST operation to the very same url that we used to create the collection. This time we get a response which tells us the ID that was used to store the new document.
Now, how can we retrieve one or more documents based on some properties e. The result is an array of the items circled in red that match the supplied QBE. In this case, the array contains only one item circled in greensince the QBE matches the only item we have in the collection.
What are some other interesting QBEs we can run, assuming more documents with similar structure in the collection? You can still drop down into SQL if needed. We often get asked about the possibility of using partitioning with SODA collections. Today, this can be done with just a bit of initial SODA for node.
To get started, download the latest Oracle node. JSON in the Oracle database.
SELECT Examples (Transact-SQL)
June 5, Note: disabling security in a production environment is not recommended! Be the first to comment. Recent Content.Familiarity with the following can help you take best advantage of the information presented here:. Collection Specifications. A key characteristic of a REST-based system is that it is stateless : the server does not track or manage client object state.
Each operation performed against a REST-based server is atomic; it is considered a transaction in its own right. In a typical REST-based system, many facilities that are taken for granted in an RDBMS environment, such as locking and concurrency control, are left to the application to manage.
Fielding and Richard N. Taylor, at:. In a document collection, each document has a unique identifier. The identifier is typically assigned by the server when the document is created, but client-assigned identifiers can also be used. Document identifiers are metadata —data about the individual documents.
Other metadata that a document collection can track for each document include the date and time that it was created and the date and time that it was last modified. Your application can use the API operations to create and manipulate the JSON objects that it uses to persist application objects and state. When your application retrieves a document object, a JSON parser converts it to an application object. Ensure that Oracle Database 12c Release 1 Patch obsoletes patch This enables anonymous access to the service and is not recommended for production systems.
For more information about security, see Security. Disabling security and running ORDS in standalone mode is not recommended in production environments. If the installation succeeded, you see:. To create a new collection, run this command, where MyCollection is the name of the collection:. If the operation succeeds then the output looks similar to this:. Response code indicates that the operation succeeded. A successful PUT collection operation creates a database table to store the new collection.
The preceding table reflects the default collection configuration. To create a custom collection configuration, provide a collection specification as the body of the PUT operation. For information about collection specifications, see Collection Specifications. To drop a collection, proceed as described in Deleting a Collection.
Sample LINQ Queries
Do not use SQL to drop the database table that underlies a collection. Collections have persisted metadata, in addition to the documents that are stored in the collection table.
PUT collection for more information about this operation. Getting the List of Available Collections. To obtain a list of the collections available in schemarun this command:. The response body includes all available collections in schemawhich in this case is only collection MyCollection.
A successful GET collection operation returns response codeand the response body is a JSON object that contains an array of available collections and includes the collection specification for each collection. GET schema.
Solr Query Syntax
Deleting a Collection. To verify that the collection was deleted, get the list of available collections in schema :. Inserting a Document into a Collection. The example uses file po.So you want to win that hackathon or build the next hot open data app?
Follow this guide to get yourself started. Socrata hosts over one hundred different data catalogs for governments, non-profits, and NGOs around the world, so finding an open data catalog to work with is easy:. But how you find the API endpoint can vary a bit. Copy that and save it for later. Filtering data is very straightforward.
For example, to query for only fuel locations that provide Liquefied Petroleum Gassimply append? Additional filters can be added, and the filters will be AND ed together. The language is both powerful and easy to learn, and everything works via GET parameters. For example, to search for fuel stations in downtown Chicago:. Hold on a second! Before you go storming off to make the next great open data app, you should understand how SODA handles throttling.
If you want more requests, register for an application token and your application will be granted up to requests per rolling hour period. If you need even more than that, special exceptions are made by request. Use the Help! Locating Open Data and APIs Socrata hosts over one hundred different data catalogs for governments, non-profits, and NGOs around the world, so finding an open data catalog to work with is easy: Check to see if your local government or state already has an open data site.
Peruse the Open Data Networkour global catalog of open datasets. Got a community group or event of your own and want free hosting for your data and APIs? Sign up! Read the detailed documentation on API Endpoints for more info. Read the detailed documentation on Filtering Datasets for more info. Many different functions are available via SoQL. Read the detailed documentation on SoQL Queries for more info.
Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. You'll notice again that the resource identifier is changed from the one in the question to use the new API identifier 83x8-shf7 instead of ipuq9a.
However, that's something we look forward to being able to provide for more datasets once we roll out some back-end changes that we're working on. But I can't get it to work outside of the example, e. Learn more. Asked 5 years, 8 months ago. Active 4 years, 6 months ago. Viewed times. Ralph Yozzo. Ralph Yozzo Ralph Yozzo 10 10 silver badges 22 22 bronze badges. Active Oldest Votes. JoshM JoshM 36 5 5 bronze badges. Does this still not work?
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