Json auto format

JSON FormatWhen we start working with JSON in SQL Server, we usually first have to retrieve tabular data in this format. Microsoft first implemented a FOR JSON clause in SQL Server 2017 – this clause can be natively used with the SELECT statement, similarly to FOR XML that we use for retrieving data in XML format.FOR JSON allows for two methods to select from:FOR JSON AUTO – output will be formatted according to the SELECT statement structureFOR JSON PATH – output will be formatted according to the user-defined structure, allowing you to use nested objects and propertiesWhichever model you choose, SQL Server will extract relational data in SELECT statements. It will automatically convert the database data types to JSON types and implement character escape rules. Finally, it will format the output according to explicitly or implicitly defined formatting rules.With FOR JSON AUTO, the output format is controlled by the design of the SELECT statement. Thus, using this mode requires a database table or view.USE AdventureWorks2019GOSELECT GETDATE() FOR JSON AUTOWe get the following error message:Msg 13600, Level 16, State 1, Line 4FOR JSON AUTO requires at least one table for generating JSON objects. Use FOR JSON PATH or add a FROM clause with a table name.Now we show how SQL Server automatically generates JSON data. First, it is as output in Management Studio, and then formatted in a text editor:USE AdventureWorks2019GOSELECT TOP(2) JobTitle, FirstName, LastName, City FROM HumanResources.vEmployee FOR JSON AUTO[ { "JobTitle": "Chief Executive Officer", "FirstName": "Ken", "LastName": "Sánchez", "City": "Newport Hills" }, { "JobTitle": "Vice President of Engineering", "FirstName": "Terri", "LastName": "Duffy", "City": "Renton" }]Each row in the original result set is created as a flat property structure. If you compare this to standard XML, you will see much less text. It is because the table names do not appear in the JSON output.The difference in size becomes important when you start to use the ELEMENTS option in XML instead of the default RAW value. To demonstrate this, we use the SELECT statement that compares the data length in bytes of XML and JSON output:USE AdventureWorks2019GOSELECT DATALENGTH( CAST (( SELECT * FROM HumanResources.vEmployee FOR XML AUTO ) AS NVARCHAR(MAX))) AS XML_SIZE_RAW, DATALENGTH( CAST (( SELECT * FROM HumanResources.vEmployee FOR XML AUTO, ELEMENTS ) AS NVARCHAR(MAX))) AS XML_SIZE_ELEMENTS, DATALENGTH( CAST (( SELECT * FROM HumanResources.vEmployee FOR JSON AUTO ) AS NVARCHAR(MAX))) AS JSON_SIZEAs we can see from the query results,

As well as unloading data, UTF-8 is the only supported character set.UTF-16UTF16All languagesUTF-16BEUTF16BEAll languagesUTF-16LEUTF16LEAll languagesUTF-32UTF32All languagesUTF-32BEUTF32BEAll languagesUTF-32LEUTF32LEAll languageswindows-874WINDOWS874Thaiwindows-949WINDOWS949Koreanwindows-1250WINDOWS1250Czech, Hungarian, Polish, Romanianwindows-1251WINDOWS1251Russianwindows-1252WINDOWS1252Danish, Dutch, English, French, German, Italian, Norwegian, Portuguese, Swedishwindows-1253WINDOWS1253Greekwindows-1254WINDOWS1254Turkishwindows-1255WINDOWS1255Hebrewwindows-1256WINDOWS1256ArabicDefault:UTF8NoteSnowflake stores all data internally in the UTF-8 character set. The data is converted into UTF-8 before it is loaded into Snowflake.TYPE = JSON¶COMPRESSION = AUTO | GZIP | BZ2 | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | NONEUse:Data loading and external tablesDefinition:When loading data, specifies the current compression algorithm for the data file. Snowflake uses this option to detect how an already-compressed data file was compressed so that the compressed data in the file can be extracted for loading.When unloading data, compresses the data file using the specified compression algorithm.Values:Supported ValuesNotesAUTOWhen loading data, compression algorithm detected automatically, except for Brotli-compressed files, which cannot currently be detected automatically. When unloading data, files are automatically compressed using the default, which is gzip.GZIPBZ2BROTLIMust be specified if loading/unloading Brotli-compressed files.ZSTDZstandard v0.8 (and higher) is supported.DEFLATEDeflate-compressed files (with zlib header, RFC1950).RAW_DEFLATERaw Deflate-compressed files (without header, RFC1951).NONEWhen loading data, indicates that the files have not been compressed. When unloading data, specifies that the unloaded files are not compressed.Default:AUTODATE_FORMAT = 'string' | AUTOUse:Data loading onlyDefinition:Defines the format of date string values in the data files. If a value is not specified or is AUTO, the value for the DATE_INPUT_FORMAT parameter is used.This file format option is applied to the following actions only:Loading JSON data into separate columns using the MATCH_BY_COLUMN_NAME copy option.Loading JSON data into separate columns by specifying a query in the COPY statement (i.e. COPY transformation).Default:AUTOTIME_FORMAT = 'string' | AUTOUse:Data loading onlyDefinition:Defines the format of time string values in the data files. If a value is not specified or is AUTO, the value for the TIME_INPUT_FORMAT parameter is used.This file format option is applied to the following actions only:Loading JSON data into separate columns using the MATCH_BY_COLUMN_NAME copy option.Loading JSON data into separate columns by specifying a query in the COPY statement (i.e. COPY transformation).Default:AUTOTIMESTAMP_FORMAT = string' | AUTOUse:Data loading onlyDefinition:Defines the format of timestamp string values in the data files. If a value is not specified or is AUTO, the value for the TIMESTAMP_INPUT_FORMAT parameter is used.This file format option is applied to the following actions only:Loading JSON data into separate columns using the MATCH_BY_COLUMN_NAME copy option.Loading JSON data into separate columns by specifying a query in the COPY statement (i.e. COPY transformation).Default:AUTOBINARY_FORMAT = HEX | BASE64 | UTF8Use:Data loading onlyDefinition:Defines the encoding format for binary string values in the data files. The option can be used when loading data into binary columns in a table.This file format option is applied to the following actions only:Loading JSON data into separate columns using the MATCH_BY_COLUMN_NAME

[ aws . schemas ]Synopsis¶ start-discoverer--discoverer-id value>[--cli-input-json | --cli-input-yaml][--generate-cli-skeleton value>][--debug][--endpoint-url value>][--no-verify-ssl][--no-paginate][--output value>][--query value>][--profile value>][--region value>][--version value>][--color value>][--no-sign-request][--ca-bundle value>][--cli-read-timeout value>][--cli-connect-timeout value>][--cli-binary-format value>][--no-cli-pager][--cli-auto-prompt][--no-cli-auto-prompt]Options¶--discoverer-id (string)The ID of the discoverer.--cli-input-json | --cli-input-yaml (string)Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.--generate-cli-skeleton (string)Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.Global Options¶--debug (boolean)Turn on debug logging.--endpoint-url (string)Override command’s default URL with the given URL.--no-verify-ssl (boolean)By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.--no-paginate (boolean)Disable automatic pagination.--output (string)The formatting style for command output.jsontexttableyamlyaml-stream--query (string)A JMESPath query to use in filtering the response data.--profile

JSON strings to contain unescaped control characters (ASCII characters with value less than 32, including tab and line feed characters) or not.Default value: falseallowUnquotedFieldNamesType: BooleanWhether to allow use of unquoted field names (which are allowed by JavaScript, but not by the JSON specification).Default value: falsebadRecordsPathType: StringThe path to store files for recording the information about bad JSON records.Default value: NonecolumnNameOfCorruptRecordType: StringThe column for storing records that are malformed and cannot be parsed. If the mode for parsing is set as DROPMALFORMED, this column will be empty.Default value: _corrupt_recorddateFormatType: StringThe format for parsing date strings.Default value: yyyy-MM-dddropFieldIfAllNullType: BooleanWhether to ignore columns of all null values or empty arrays and structs during schema inference.Default value: falseencoding or charsetType: StringThe name of the encoding of the JSON files. See java.nio.charset.Charset for list of options. You cannot use UTF-16 and UTF-32 when multiline is true.Default value: UTF-8inferTimestampType: BooleanWhether to try and infer timestamp strings as a TimestampType. When set totrue, schema inference might take noticeably longer. You must enable cloudFiles.inferColumnTypes to use with Auto Loader.Default value: falselineSepType: StringA string between two consecutive JSON records.Default value: None, which covers \r, \r\n, and \nlocaleType: StringA java.util.Locale identifier. Influences default date, timestamp, and decimal parsing within the JSON.Default value: USmodeType: StringParser mode around handling malformed records. One of 'PERMISSIVE','DROPMALFORMED', or 'FAILFAST'.Default value: PERMISSIVEmultiLineType: BooleanWhether the JSON records span multiple lines.Default value: falseprefersDecimalType: BooleanAttempts to infer strings as DecimalType instead of float or double type when possible. You must also use schema inference, either by enablinginferSchema or using cloudFiles.inferColumnTypes with Auto Loader.Default value: falseprimitivesAsStringType: BooleanWhether to infer primitive types like numbers and booleans as StringType.Default value: falsereaderCaseSensitiveType: BooleanSpecifies the case sensitivity behavior when rescuedDataColumn is enabled. If true, rescue the data columns whose names differ by case from the schema; otherwise, read the data in a case-insensitive manner. Available in Databricks Runtime13.3 and above.Default value: truerescuedDataColumnType: StringWhether to collect all data that can’t be parsed due to a data type mismatch or schema mismatch (including column casing) to a separate column. This column is included by default when using Auto Loader. For more details, refer to What is the rescued data column?.COPY INTO (legacy) does not support the rescued data column because you cannot manually set the schema using COPY INTO. Databricks recommends using Auto Loader for most ingestion scenarios.Default value: NonesingleVariantColumnType: StringWhether to ingest the entire JSON document, parsed into a single Variant column with the given string as the column’s name. If disabled, the JSON fields will be ingested into their own columns.Default value: NonetimestampFormatType: StringThe format for parsing timestamp strings.Default value: yyyy-MM-dd'T'HH:mm:ss[.SSS][XXX]timeZoneType: StringThe java.time.ZoneId to use when parsing timestamps and dates.Default value: NoneCSV options​OptionbadRecordsPathType: StringThe path to store files for recording the information about bad

Preferentially return data in a particular format. webread uses this value to convert the response to a MATLAB® type. The server returns this content type if possible, but is not obligated to do so. ContentType ValueOutput Type"auto" (default)Output type is automatically determined based on the content type specified by the web service."text"Character vector for content types:text/plaintext/htmltext/xmlapplication/xmlapplication/javascriptapplication/x-javascriptapplication/x-www-form-urlencodedIf a web service returns a MATLAB file with a .m extension, the function returns its content as a character vector."image"Numeric or logical matrix for image/format content.For supported image formats, see Supported File Formats for Import and Export."audio"Numeric matrix for audio/format content.For supported audio formats, see Supported File Formats for Import and Export."binary"uint8 column vector for binary content(that is, content not to be treated as type char)."table"Scalar table object for spreadsheet and CSV (text/csv)content."json"char, numeric, logical, structure, or cell array for application/json content."xmldom"Java® Document Object Model (DOM) node for text/xml or application/xml content. If ContentType is not specified, the function returns XML content as a character vector."raw"char column vector for "text", "xmldom", and "json" content. The function returns any other content type as a uint8 column vector. Example: weboptions('ContentType','text') creates a weboptions object that instructs webread to return text, JSON, or XML content as a character vector. ContentReader — Content reader [] (default) | function handle Content reader, specified as a function handle. You can create a weboptions object with ContentReader specified, and pass the object as an input argument to webread. Then webread downloads data from a web service and reads the data with the function specified by the function handle. webread ignores ContentType when ContentReader is specified. Example: weboptions('ContentReader',@readtable) creates a weboptions object that instructs webread to use readtable to read content as a table. MediaType — Media type 'auto' (default) | 'application/x-www-form-urlencoded' | string scalar | character vector | matlab.net.http.MediaType Media type, specified as a string scalar, a character vector, or a matlab.net.http.MediaType object. MediaType specifies the type of data webwrite sends to the web service. It specifies the content type that MATLAB specifies to the server, and it controls how the webwrite data argument, if specified, is converted. For more information, see RFC 6838 Media Type Specifications and Registration Procedures on the RFC Editor website. The default value is 'auto' which indicates that MATLAB chooses the type based on the input to webwrite. If using PostName/PostValue argument pairs, then MATLAB uses 'application/x-www-form-urlencoded' to send the pairs. If using a data argument that is a scalar string or character vector, then MATLAB assumes it is a form-encoded string and sends it as-is using 'application/x-www-form-urlencoded'. If data is anything else, then MATLAB converts it to JSON using jsonencode and uses the content type 'application/json'. If you specify a MediaType containing 'json' or 'javascript',