#Sql server json query performance full#
#Sql server json query performance code#

PostgreSQL’s community of enthusiasts and contributors regularly find fixes and bugs, lending to the overall security of the database system. On top of this, PostgreSQL incurs no licensing cost, which gets rid of the risk of over-deployment.

#Sql server json query performance code#

Open-source license: You can avail of the PostgreSQL source code under an open-source license, giving you the freedom to modify, use, and implement it as you see fit, without any charge.It is highly scalable in both the quantity of data it can manage and in the number of simultaneous users that can be accommodated. PostgreSQL is also locale-aware for case sensitivity, sorting, and formatting. Robust extensions: PostgreSQL houses robust feature sets such as point-in-time recovery, multi-version concurrency (MVCC), tablespaces, granular access controls, and online/hot backups.It includes most SQL: 2008 data types, including BOOLEAN, NUMERIC, INTEGER, DATE, VARCHAR, TIMESTAMP, INTERVAL, and CHAR.

#Sql server json query performance full#

PostgreSQL is also ACID-compliant and provides full support for views, foreign keys, triggers, joins, and stored procedures, in various languages. Standards compliance and reliability: PostgreSQL’s write-ahead logging allows it to stand out as a highly fault-tolerant database.Now, let’s move on to take a look at some features of PostgreSQL that make it such an indispensable tool in the marketplace: In 2014, the PGconf ushered in a new era for PostgreSQL users.NYCPUG (New York City PostgreSQL User Group) joined the PgUS (United States PostgreSQL Association) back in 2013.In 1990, support for PL/ pgSQL and ACID compliance was added to PostgreSQL.Michael Stonebraker and his associates developed Postgres in 1986.Here’s a brief overview of PostgreSQL through the years: The plan for my variant only has a single nested loop, and appears to be far more efficient.Deploy your web projects to high-performance, ready-to-go cloud hosting in 3 steps.

The only column missing from the output is the key value generated by the OPENJSON table-valued-function which is only returned when there is no WITH clause specified. This Fiddle compares the output from both methods proving the results are the same. , nvarchar(10) '$.history_retention_period_unit_desc' You should directly extract the values from the json array using the WITH clause, like this: SELECT src.*ĬROSS APPLY OPENJSON(src.the_json, 'lax $') I created the code above using my on-prem SQL Server 2019 instance, however the target will be Azure SQL Database, so all the latest-and-greatest options are available. Is there a more efficient way of getting the data out of json format into a 'real' set of columns?

For your fun, I've already set up a DB Fiddle. Presumably that's an artifact of using the CROSS APPLY operator. The query plan uses a couple of nested loops joins regardless of how many rows are contained in the input table. = 'history_retention_period_unit_desc' THEN src2. = 'history_retention_period_unit' THEN src2. = 'is_remote_data_archive_enabled' THEN src2. = 'large_value_types_out_of_row' THEN src2. = 'has_unchecked_assembly_data' THEN src2. WHERE st.object_id = t.object_id FOR JSON AUTOĬROSS APPLY OPENJSON(jt.the_json, N'lax $') top_arrayĬROSS APPLY OPENJSON(src., N'lax $') inner_array , some_varchar = CONVERT(varchar(100), CRYPT_GEN_RANDOM(64), 1) INSERT INTO dbo.json_test (some_uniqueidentifier, some_varchar, the_json) , some_uniqueidentifier uniqueidentifier NULL Here's an minimal, complete, and verifiable example that reflects exactly what I'm doing. I'm attempting to optimize extraction of values obtained from a REST API which returns json values in an array.