![\"\"](\"https:\/\/techblog.xavient.com\/wp-content\/uploads\/2018\/06\/1.png\")
<\/p>\n
<\/h2>\n<\/h2>\n<\/h2>\n<\/h2>\n<\/h2>\n<\/h2>\nDatabase Management Systems Supporting JSON<\/h2>\n\n- MongoDB<\/strong>\u00a0\u2013 it is a NoSQL DBMS and stores the JSON documents in a binary-encoded format called BSON.<\/li>\n
- Apache CouchDB<\/strong>\u00a0\u2013 it is a document oriented open source database management system.<\/li>\n
- Azure DocumentDB\u00a0<\/strong>\u2013 it is a Microsoft\u2019s multi-tenant distributed database service managing JSON documents at Internet scale.<\/li>\n
- OrientDB<\/strong>\u00a0\u2013 it is an open source NoSQL DBMS written in Java and natively supports JSON.<\/li>\n
- Elasticsearch<\/strong>\u00a0\u2013 it is a search engine based on Lucene, schema-free JSON documents.<\/li>\n
- MySQL<\/strong>\u00a0\u2013 it is the world\u2019s most popular open source DBMS.\u00a0It has native\u00a0JSONdata types\u00a0that enable efficient access to data in JSON, automatic validation of JSON documents stored in\u00a0JSON\u00a0columns.<\/li>\n
- Oracle Database<\/strong>\u00a0\u2013 it is an object-relational DBMS by Oracle Corporation supporting JSON natively with relational database features.<\/li>\n
- PostgreSQL<\/strong>\u00a0\u2013 it is an ORDBMS with a number of JSON functions and operators that can be used with its two\u00a0JSON data types<\/a>(JSON, and JSONB).<\/li>\n<\/ul>\n
<\/p>\n
JSON Support for Teradata<\/h2>\n
If You Can\u2019t Join Them, JSON Them<\/em><\/strong><\/p>\nTeradata Database 15 has added JSON to its data warehouse. This means users can now define analytical queries across various systems, integrate and consume JSON data, and write & run non-SQL languages in-database. With Teradata Database 15, the supplier has aimed to fill out the logical data warehouse with a range of an organization\u2019s data sources. The support for JSON is directed at IoT capability \u2013 the world of sensors and embedded microprocessors. Thus, Teradata Database 15 is capable of delivering on the unified data architecture promise of enabling users to gain access to data for new, powerful insights.<\/p>\n
<\/p>\n
Multi-structured Data >> Data Warehouse<\/h1>\n![\"\"](\"https:\/\/techblog.xavient.com\/wp-content\/uploads\/2018\/06\/2.png\")
Teradata datawarehouse xml json integration<\/figcaption><\/figure>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\nTeradata Database 15: JSON INTEGRATION<\/h1>\n
JSON (Javascript Object Notation) is a way to store information in an organized and accessible manner. It is a data interchange format, often used to transmit data in web applications. JSON is easier to read and write for humans and easier to parse and generate for machines than XML. The new Teradata Database version can store and process JSON records as JSON documents or in relational format. Teradata Database extends the following support for JSON data:<\/p>\n
\n- JSON data type<\/strong>:<\/strong>\u00a0allows storing of JSON data in text and binary (BSON, UBJSON) formats.<\/li>\n
- Shredding<\/strong>:<\/strong>\u00a0provides shredding functionality to extract values from JSON documents (which are about 16MB in size) and store this data in relational format.<\/li>\n
- Publishing<\/strong>:<\/strong>\u00a0allows publishing the results of SQL queries in JSON format.<\/li>\n
- Schema on read, late binding:<\/strong>\u00a0supports schema-less or dynamic schema to add new attributes without changing the schema. The data stored with the new attributes is immediately available for querying, while the rows without the new attributes are filtered out.<\/li>\n
- Geospatial conversion<\/strong>:<\/strong>\u00a0provides functionality to convert ST_Geometry object into a GeoJSON value and vice-versa.<\/li>\n
- Compression:<\/strong>\u00a0allows compression of JSON data of varying lengths.<\/li>\n
- Statistics, JIs for performance:<\/strong>\u00a0collects statistics on extracted portions of the JSON data type.<\/li>\n
- SQL Queries via JSONPath .dot notation:<\/strong>\u00a0JSONPath support to provide simple traversal and regular expressions with wildcards to filter and navigate complex JSON documents.<\/li>\n
- There are methods, functions, and stored procedures for parsing and validation that operate on the JSON data type.<\/li>\n
- Uses the existing join indexing structures on extracted portions of the JSON data type.<\/li>\n
- Apply advanced analytics to JSON data.<\/li>\n
- Use standard SQL to query JSON data.
\nTeradata Client Application Support for JSON<\/h2>\n\n- CLI:<\/strong>\u00a0Full native DBS support.<\/li>\n
- ODBC:<\/strong>\u00a0The ODBC driver supports LOB Input, Output and InputOutput parameters. Therefore, it can load JSON data. Also, the its Catalog (Data Dictionary) functions support JSON.<\/li>\n
- JDBC:<\/strong>\u00a0VARCHAR or CLOB values can be inserted into JSON destination columns.<\/li>\n
- .NET Data Provider:<\/strong>\u00a0No support.<\/li>\n
- Teradata Parallel Transporter (TPT):<\/strong>\u00a0JSON columns are treated like CLOB columns and are subjected to the same limitations. JSON columns are limited to 16 MB in size. Full support to import and export.<\/li>\n
- BTEQ:<\/strong>\u00a0Cannot use the JSON keyword in the USING data statement; therefore, JSON values must be referred either as CLOB or VARCHAR, with the value not exceeding 64 KB.<\/li>\n
- Standalone Utilities:<\/strong>\u00a0No support.<\/li>\n<\/ul>\n
Benefits of JSON Support in Teradata Database<\/h2>\n\n- JSON is the most widely accepted and used text-based data interchange format<\/li>\n
- It is independent of any programming languages<\/li>\n
- Nested structure of key-value or name-value pairs<\/li>\n
- Self-defining, easily manipulated data structure<\/li>\n
- New data dimension enables richer analytical insight<\/li>\n
- JSON integration joins existing XML integration<\/li>\n
- Accessed by developer friendly SQL extension<\/li>\n
- Optimizer, performance and availability feature integration<\/li>\n
- Late binding schema on read flexibility adds agility and avoids data warehouse changes<\/li>\n<\/ul>\n
Teradata Terminology for JSON<\/h2>\n\n- A JSON document is a string conforming to the JSON format. At the time of discussing JSON values in SQL context, JSON documents are referred to as an instance of the JSON data type.<\/li>\n
- When a JSON document structured is treated as an object it is written inside curly braces {}, while a JSON document structured when treated as an array it is written inside square bracket []. However, both are treated as JSON data type instances when taken in SQL context.<\/li>\n
- The serialized form is called JSON document and the structure of the JSON document is described as \u201ca JSON document structured as an array or object\u201d or JSON array and JSON object.<\/li>\n<\/ul>\n
The following is an example of a JSON document.<\/p>\n
Examples of Teradata JSON Statements<\/h2>\n
**Select statement<\/strong><\/p>\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).name;\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).name\r\n\r\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).JSONExtract(\u2018$.name\u2019);\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).JSONEXTRACT(\u2018$.name\u2019)<\/pre>\n <\/p>\n
**Create table statement<\/strong><\/p>\nCREATE TABLE DBA_table_test (eno INTEGER, edata JSON(100));<\/pre>\n <\/p>\n
**Insert into\u00a0 statement<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(2,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d, \u201cage\u201d : 24}\u2019);<\/pre>\n <\/p>\n
**Insert into JSON column<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(3,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d\u2018);<\/pre>\n <\/p>\n
**Create table Statement with encoding<\/strong><\/p>\nCREATE TABLE json_table(id INTEGER, json_j1 JSON CHARACTER SET UNICODE);<\/pre>\n <\/p>\n
**Create table Statement with JSON columns<\/strong><\/p>\nCREATE TABLE employee ( id INTEGER, json1 JSON(20), json2 JSON(25), json3 JSON(30), json4 JSON(1000), json5 JSON(5000));<\/pre>\n <\/p>\n
**Update and Set Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = NEW JSON(\u2018{\u201cname\u201d : \u201chimanshu\u201d}\u2019) WHERE edata.JSONExtractValue(\u2018$.name\u2019) = \u2018Deepak\u2019;<\/pre>\n <\/p>\n
**Update column value Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = \u2018{\u201cname\u201d : \u201cvarun\u201d}\u2019;<\/pre>\n <\/p>\n
**Delete Statement<\/strong><\/p>\nDELETE DBA_table_test WHERE CAST (edata.JSONExtractValue(\u2018$.age\u2019) AS INTEGER) = 24;<\/pre>\n <\/p>\n
Loading JSON Data<\/h2>\n\n- Load utility support\n
\n- Supported like LOB data \u2013 only in SQL protocol, not bulk loading<\/li>\n
- Choice of TPT script, SQL Assistant (SQLA), ODBC, JDBC, and ARC (backup)<\/li>\n
- Not currently supported: BTEQ, TPT API (which only supports bulk loading protocols)<\/li>\n<\/ul>\n<\/li>\n
- Many ETL tools support JSON data sources<\/li>\n<\/ul>\n
Enable JSON Support in Teradata<\/h2>\n
To enable JSON support in Teradata Database, the DBS Control field EnableJSON must be set to TRUE.<\/p>\n
Rules for JSON Data<\/h2>\n
There are certain rules to use Unicode characters in JSON data types, including specifying maximum limits and exponential numbers in JSON instances, along with removing white space inside or outside the root of the JSON object or array.<\/p>\n
\n- JSON allows inserting Unicode characters to the hexadecimal formats in a character string using \u2018\\u\u2019 string as an escape sequence. Although it is allowed within the JSON type, the \u2018\\u\u2019 hex Unicode character is not interpreted; but is merely stored as it is.<\/li>\n
- The white space characters inside the root of the JSON object or array are regarded significant, thus, are not removed. Similarly, the white space outside the root of the JSON object or array is trimmed, and not removed, for all instances of the JSON type.<\/li>\n
- The range of nesting imposed on a JSON instance is between 512 and 32000. It is set using the JSON_MaxDepth DBS Control Field. A nested object or array are not counted in this limit.<\/li>\n
- Teradata Database supports storing exponential numbers using scientific notation in JSON documents. Numbers can have a value between -1e308 and 1e308, non-inclusive, while the range of exponents is between -308 and 308, non-inclusive. Any exponent or number specified outside of the valid range will result in an error.<\/li>\n<\/ul>\n
The new version of Teradata Database with support for JSON for IoT capabilities have added another feather to the range of benefits of the database management system. Teradata\u2019s ability to store the non-SQL data generated by devices into an SQL database will help companies gain more information and insights about their customers\u2019 needs and purchasing patterns.<\/p>\n
That is all from us for this time. Let us know in comments how you perceive the new opportunities that open up with this amendment to Teradata and what the future holds for the database management system.<\/p>\n
Until next time!<\/li>\n<\/ul>\n
Credits:\u00a0<\/strong><\/p>\nhttp:\/\/dbtut.com<\/a><\/p>\nTechnical team:<\/strong><\/p>\nPankaj Chahar<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/strong><\/p>\nReferences:<\/p>\n
https:\/\/en.wikipedia.org<\/a><\/p>\nhttps:\/\/www.teradata.com\/Press-Releases\/2015\/Teradata-Accelerates-JSON-Data-Query-Performa<\/a><\/p>\nhttps:\/\/info.teradata.com\/htmlpubs\/DB_TTU_16_00\/index.html#page\/Teradata_Data_Types\/B035-1150-160K\/seb1472240527441.html<\/a><\/p>\nhttp:\/\/www.teradatawiki.net\/2014\/12\/Teradata-15-features.html<\/a><\/p>\n\n<\/div>\n
<\/h2>\n<\/h2>\n<\/h2>\n<\/h2>\nDatabase Management Systems Supporting JSON<\/h2>\n\n- MongoDB<\/strong>\u00a0\u2013 it is a NoSQL DBMS and stores the JSON documents in a binary-encoded format called BSON.<\/li>\n
- Apache CouchDB<\/strong>\u00a0\u2013 it is a document oriented open source database management system.<\/li>\n
- Azure DocumentDB\u00a0<\/strong>\u2013 it is a Microsoft\u2019s multi-tenant distributed database service managing JSON documents at Internet scale.<\/li>\n
- OrientDB<\/strong>\u00a0\u2013 it is an open source NoSQL DBMS written in Java and natively supports JSON.<\/li>\n
- Elasticsearch<\/strong>\u00a0\u2013 it is a search engine based on Lucene, schema-free JSON documents.<\/li>\n
- MySQL<\/strong>\u00a0\u2013 it is the world\u2019s most popular open source DBMS.\u00a0It has native\u00a0JSONdata types\u00a0that enable efficient access to data in JSON, automatic validation of JSON documents stored in\u00a0JSON\u00a0columns.<\/li>\n
- Oracle Database<\/strong>\u00a0\u2013 it is an object-relational DBMS by Oracle Corporation supporting JSON natively with relational database features.<\/li>\n
- PostgreSQL<\/strong>\u00a0\u2013 it is an ORDBMS with a number of JSON functions and operators that can be used with its two\u00a0JSON data types<\/a>(JSON, and JSONB).<\/li>\n<\/ul>\n
<\/p>\n
JSON Support for Teradata<\/h2>\n
If You Can\u2019t Join Them, JSON Them<\/em><\/strong><\/p>\nTeradata Database 15 has added JSON to its data warehouse. This means users can now define analytical queries across various systems, integrate and consume JSON data, and write & run non-SQL languages in-database. With Teradata Database 15, the supplier has aimed to fill out the logical data warehouse with a range of an organization\u2019s data sources. The support for JSON is directed at IoT capability \u2013 the world of sensors and embedded microprocessors. Thus, Teradata Database 15 is capable of delivering on the unified data architecture promise of enabling users to gain access to data for new, powerful insights.<\/p>\n
<\/p>\n
Multi-structured Data >> Data Warehouse<\/h1>\nTeradata datawarehouse xml json integration<\/figcaption><\/figure>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\nTeradata Database 15: JSON INTEGRATION<\/h1>\n
JSON (Javascript Object Notation) is a way to store information in an organized and accessible manner. It is a data interchange format, often used to transmit data in web applications. JSON is easier to read and write for humans and easier to parse and generate for machines than XML. The new Teradata Database version can store and process JSON records as JSON documents or in relational format. Teradata Database extends the following support for JSON data:<\/p>\n
\n- JSON data type<\/strong>:<\/strong>\u00a0allows storing of JSON data in text and binary (BSON, UBJSON) formats.<\/li>\n
- Shredding<\/strong>:<\/strong>\u00a0provides shredding functionality to extract values from JSON documents (which are about 16MB in size) and store this data in relational format.<\/li>\n
- Publishing<\/strong>:<\/strong>\u00a0allows publishing the results of SQL queries in JSON format.<\/li>\n
- Schema on read, late binding:<\/strong>\u00a0supports schema-less or dynamic schema to add new attributes without changing the schema. The data stored with the new attributes is immediately available for querying, while the rows without the new attributes are filtered out.<\/li>\n
- Geospatial conversion<\/strong>:<\/strong>\u00a0provides functionality to convert ST_Geometry object into a GeoJSON value and vice-versa.<\/li>\n
- Compression:<\/strong>\u00a0allows compression of JSON data of varying lengths.<\/li>\n
- Statistics, JIs for performance:<\/strong>\u00a0collects statistics on extracted portions of the JSON data type.<\/li>\n
- SQL Queries via JSONPath .dot notation:<\/strong>\u00a0JSONPath support to provide simple traversal and regular expressions with wildcards to filter and navigate complex JSON documents.<\/li>\n
- There are methods, functions, and stored procedures for parsing and validation that operate on the JSON data type.<\/li>\n
- Uses the existing join indexing structures on extracted portions of the JSON data type.<\/li>\n
- Apply advanced analytics to JSON data.<\/li>\n
- Use standard SQL to query JSON data.
\nTeradata Client Application Support for JSON<\/h2>\n\n- CLI:<\/strong>\u00a0Full native DBS support.<\/li>\n
- ODBC:<\/strong>\u00a0The ODBC driver supports LOB Input, Output and InputOutput parameters. Therefore, it can load JSON data. Also, the its Catalog (Data Dictionary) functions support JSON.<\/li>\n
- JDBC:<\/strong>\u00a0VARCHAR or CLOB values can be inserted into JSON destination columns.<\/li>\n
- .NET Data Provider:<\/strong>\u00a0No support.<\/li>\n
- Teradata Parallel Transporter (TPT):<\/strong>\u00a0JSON columns are treated like CLOB columns and are subjected to the same limitations. JSON columns are limited to 16 MB in size. Full support to import and export.<\/li>\n
- BTEQ:<\/strong>\u00a0Cannot use the JSON keyword in the USING data statement; therefore, JSON values must be referred either as CLOB or VARCHAR, with the value not exceeding 64 KB.<\/li>\n
- Standalone Utilities:<\/strong>\u00a0No support.<\/li>\n<\/ul>\n
Benefits of JSON Support in Teradata Database<\/h2>\n\n- JSON is the most widely accepted and used text-based data interchange format<\/li>\n
- It is independent of any programming languages<\/li>\n
- Nested structure of key-value or name-value pairs<\/li>\n
- Self-defining, easily manipulated data structure<\/li>\n
- New data dimension enables richer analytical insight<\/li>\n
- JSON integration joins existing XML integration<\/li>\n
- Accessed by developer friendly SQL extension<\/li>\n
- Optimizer, performance and availability feature integration<\/li>\n
- Late binding schema on read flexibility adds agility and avoids data warehouse changes<\/li>\n<\/ul>\n
Teradata Terminology for JSON<\/h2>\n\n- A JSON document is a string conforming to the JSON format. At the time of discussing JSON values in SQL context, JSON documents are referred to as an instance of the JSON data type.<\/li>\n
- When a JSON document structured is treated as an object it is written inside curly braces {}, while a JSON document structured when treated as an array it is written inside square bracket []. However, both are treated as JSON data type instances when taken in SQL context.<\/li>\n
- The serialized form is called JSON document and the structure of the JSON document is described as \u201ca JSON document structured as an array or object\u201d or JSON array and JSON object.<\/li>\n<\/ul>\n
The following is an example of a JSON document.<\/p>\n
Examples of Teradata JSON Statements<\/h2>\n
**Select statement<\/strong><\/p>\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).name;\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).name\r\n\r\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).JSONExtract(\u2018$.name\u2019);\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).JSONEXTRACT(\u2018$.name\u2019)<\/pre>\n <\/p>\n
**Create table statement<\/strong><\/p>\nCREATE TABLE DBA_table_test (eno INTEGER, edata JSON(100));<\/pre>\n <\/p>\n
**Insert into\u00a0 statement<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(2,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d, \u201cage\u201d : 24}\u2019);<\/pre>\n <\/p>\n
**Insert into JSON column<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(3,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d\u2018);<\/pre>\n <\/p>\n
**Create table Statement with encoding<\/strong><\/p>\nCREATE TABLE json_table(id INTEGER, json_j1 JSON CHARACTER SET UNICODE);<\/pre>\n <\/p>\n
**Create table Statement with JSON columns<\/strong><\/p>\nCREATE TABLE employee ( id INTEGER, json1 JSON(20), json2 JSON(25), json3 JSON(30), json4 JSON(1000), json5 JSON(5000));<\/pre>\n <\/p>\n
**Update and Set Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = NEW JSON(\u2018{\u201cname\u201d : \u201chimanshu\u201d}\u2019) WHERE edata.JSONExtractValue(\u2018$.name\u2019) = \u2018Deepak\u2019;<\/pre>\n <\/p>\n
**Update column value Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = \u2018{\u201cname\u201d : \u201cvarun\u201d}\u2019;<\/pre>\n <\/p>\n
**Delete Statement<\/strong><\/p>\nDELETE DBA_table_test WHERE CAST (edata.JSONExtractValue(\u2018$.age\u2019) AS INTEGER) = 24;<\/pre>\n <\/p>\n
Loading JSON Data<\/h2>\n\n- Load utility support\n
\n- Supported like LOB data \u2013 only in SQL protocol, not bulk loading<\/li>\n
- Choice of TPT script, SQL Assistant (SQLA), ODBC, JDBC, and ARC (backup)<\/li>\n
- Not currently supported: BTEQ, TPT API (which only supports bulk loading protocols)<\/li>\n<\/ul>\n<\/li>\n
- Many ETL tools support JSON data sources<\/li>\n<\/ul>\n
Enable JSON Support in Teradata<\/h2>\n
To enable JSON support in Teradata Database, the DBS Control field EnableJSON must be set to TRUE.<\/p>\n
Rules for JSON Data<\/h2>\n
There are certain rules to use Unicode characters in JSON data types, including specifying maximum limits and exponential numbers in JSON instances, along with removing white space inside or outside the root of the JSON object or array.<\/p>\n
\n- JSON allows inserting Unicode characters to the hexadecimal formats in a character string using \u2018\\u\u2019 string as an escape sequence. Although it is allowed within the JSON type, the \u2018\\u\u2019 hex Unicode character is not interpreted; but is merely stored as it is.<\/li>\n
- The white space characters inside the root of the JSON object or array are regarded significant, thus, are not removed. Similarly, the white space outside the root of the JSON object or array is trimmed, and not removed, for all instances of the JSON type.<\/li>\n
- The range of nesting imposed on a JSON instance is between 512 and 32000. It is set using the JSON_MaxDepth DBS Control Field. A nested object or array are not counted in this limit.<\/li>\n
- Teradata Database supports storing exponential numbers using scientific notation in JSON documents. Numbers can have a value between -1e308 and 1e308, non-inclusive, while the range of exponents is between -308 and 308, non-inclusive. Any exponent or number specified outside of the valid range will result in an error.<\/li>\n<\/ul>\n
The new version of Teradata Database with support for JSON for IoT capabilities have added another feather to the range of benefits of the database management system. Teradata\u2019s ability to store the non-SQL data generated by devices into an SQL database will help companies gain more information and insights about their customers\u2019 needs and purchasing patterns.<\/p>\n
That is all from us for this time. Let us know in comments how you perceive the new opportunities that open up with this amendment to Teradata and what the future holds for the database management system.<\/p>\n
Until next time!<\/li>\n<\/ul>\n
Credits:\u00a0<\/strong><\/p>\nhttp:\/\/dbtut.com<\/a><\/p>\nTechnical team:<\/strong><\/p>\nPankaj Chahar<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/strong><\/p>\nReferences:<\/p>\n
https:\/\/en.wikipedia.org<\/a><\/p>\nhttps:\/\/www.teradata.com\/Press-Releases\/2015\/Teradata-Accelerates-JSON-Data-Query-Performa<\/a><\/p>\nhttps:\/\/info.teradata.com\/htmlpubs\/DB_TTU_16_00\/index.html#page\/Teradata_Data_Types\/B035-1150-160K\/seb1472240527441.html<\/a><\/p>\nhttp:\/\/www.teradatawiki.net\/2014\/12\/Teradata-15-features.html<\/a><\/p>\n\n<\/div>\n
<\/h2>\n<\/h2>\nDatabase Management Systems Supporting JSON<\/h2>\n\n- MongoDB<\/strong>\u00a0\u2013 it is a NoSQL DBMS and stores the JSON documents in a binary-encoded format called BSON.<\/li>\n
- Apache CouchDB<\/strong>\u00a0\u2013 it is a document oriented open source database management system.<\/li>\n
- Azure DocumentDB\u00a0<\/strong>\u2013 it is a Microsoft\u2019s multi-tenant distributed database service managing JSON documents at Internet scale.<\/li>\n
- OrientDB<\/strong>\u00a0\u2013 it is an open source NoSQL DBMS written in Java and natively supports JSON.<\/li>\n
- Elasticsearch<\/strong>\u00a0\u2013 it is a search engine based on Lucene, schema-free JSON documents.<\/li>\n
- MySQL<\/strong>\u00a0\u2013 it is the world\u2019s most popular open source DBMS.\u00a0It has native\u00a0JSONdata types\u00a0that enable efficient access to data in JSON, automatic validation of JSON documents stored in\u00a0JSON\u00a0columns.<\/li>\n
- Oracle Database<\/strong>\u00a0\u2013 it is an object-relational DBMS by Oracle Corporation supporting JSON natively with relational database features.<\/li>\n
- PostgreSQL<\/strong>\u00a0\u2013 it is an ORDBMS with a number of JSON functions and operators that can be used with its two\u00a0JSON data types<\/a>(JSON, and JSONB).<\/li>\n<\/ul>\n
<\/p>\n
JSON Support for Teradata<\/h2>\n
If You Can\u2019t Join Them, JSON Them<\/em><\/strong><\/p>\nTeradata Database 15 has added JSON to its data warehouse. This means users can now define analytical queries across various systems, integrate and consume JSON data, and write & run non-SQL languages in-database. With Teradata Database 15, the supplier has aimed to fill out the logical data warehouse with a range of an organization\u2019s data sources. The support for JSON is directed at IoT capability \u2013 the world of sensors and embedded microprocessors. Thus, Teradata Database 15 is capable of delivering on the unified data architecture promise of enabling users to gain access to data for new, powerful insights.<\/p>\n
<\/p>\n
Multi-structured Data >> Data Warehouse<\/h1>\nTeradata datawarehouse xml json integration<\/figcaption><\/figure>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\nTeradata Database 15: JSON INTEGRATION<\/h1>\n
JSON (Javascript Object Notation) is a way to store information in an organized and accessible manner. It is a data interchange format, often used to transmit data in web applications. JSON is easier to read and write for humans and easier to parse and generate for machines than XML. The new Teradata Database version can store and process JSON records as JSON documents or in relational format. Teradata Database extends the following support for JSON data:<\/p>\n
\n- JSON data type<\/strong>:<\/strong>\u00a0allows storing of JSON data in text and binary (BSON, UBJSON) formats.<\/li>\n
- Shredding<\/strong>:<\/strong>\u00a0provides shredding functionality to extract values from JSON documents (which are about 16MB in size) and store this data in relational format.<\/li>\n
- Publishing<\/strong>:<\/strong>\u00a0allows publishing the results of SQL queries in JSON format.<\/li>\n
- Schema on read, late binding:<\/strong>\u00a0supports schema-less or dynamic schema to add new attributes without changing the schema. The data stored with the new attributes is immediately available for querying, while the rows without the new attributes are filtered out.<\/li>\n
- Geospatial conversion<\/strong>:<\/strong>\u00a0provides functionality to convert ST_Geometry object into a GeoJSON value and vice-versa.<\/li>\n
- Compression:<\/strong>\u00a0allows compression of JSON data of varying lengths.<\/li>\n
- Statistics, JIs for performance:<\/strong>\u00a0collects statistics on extracted portions of the JSON data type.<\/li>\n
- SQL Queries via JSONPath .dot notation:<\/strong>\u00a0JSONPath support to provide simple traversal and regular expressions with wildcards to filter and navigate complex JSON documents.<\/li>\n
- There are methods, functions, and stored procedures for parsing and validation that operate on the JSON data type.<\/li>\n
- Uses the existing join indexing structures on extracted portions of the JSON data type.<\/li>\n
- Apply advanced analytics to JSON data.<\/li>\n
- Use standard SQL to query JSON data.
\nTeradata Client Application Support for JSON<\/h2>\n\n- CLI:<\/strong>\u00a0Full native DBS support.<\/li>\n
- ODBC:<\/strong>\u00a0The ODBC driver supports LOB Input, Output and InputOutput parameters. Therefore, it can load JSON data. Also, the its Catalog (Data Dictionary) functions support JSON.<\/li>\n
- JDBC:<\/strong>\u00a0VARCHAR or CLOB values can be inserted into JSON destination columns.<\/li>\n
- .NET Data Provider:<\/strong>\u00a0No support.<\/li>\n
- Teradata Parallel Transporter (TPT):<\/strong>\u00a0JSON columns are treated like CLOB columns and are subjected to the same limitations. JSON columns are limited to 16 MB in size. Full support to import and export.<\/li>\n
- BTEQ:<\/strong>\u00a0Cannot use the JSON keyword in the USING data statement; therefore, JSON values must be referred either as CLOB or VARCHAR, with the value not exceeding 64 KB.<\/li>\n
- Standalone Utilities:<\/strong>\u00a0No support.<\/li>\n<\/ul>\n
Benefits of JSON Support in Teradata Database<\/h2>\n\n- JSON is the most widely accepted and used text-based data interchange format<\/li>\n
- It is independent of any programming languages<\/li>\n
- Nested structure of key-value or name-value pairs<\/li>\n
- Self-defining, easily manipulated data structure<\/li>\n
- New data dimension enables richer analytical insight<\/li>\n
- JSON integration joins existing XML integration<\/li>\n
- Accessed by developer friendly SQL extension<\/li>\n
- Optimizer, performance and availability feature integration<\/li>\n
- Late binding schema on read flexibility adds agility and avoids data warehouse changes<\/li>\n<\/ul>\n
Teradata Terminology for JSON<\/h2>\n\n- A JSON document is a string conforming to the JSON format. At the time of discussing JSON values in SQL context, JSON documents are referred to as an instance of the JSON data type.<\/li>\n
- When a JSON document structured is treated as an object it is written inside curly braces {}, while a JSON document structured when treated as an array it is written inside square bracket []. However, both are treated as JSON data type instances when taken in SQL context.<\/li>\n
- The serialized form is called JSON document and the structure of the JSON document is described as \u201ca JSON document structured as an array or object\u201d or JSON array and JSON object.<\/li>\n<\/ul>\n
The following is an example of a JSON document.<\/p>\n
Examples of Teradata JSON Statements<\/h2>\n
**Select statement<\/strong><\/p>\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).name;\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).name\r\n\r\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).JSONExtract(\u2018$.name\u2019);\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).JSONEXTRACT(\u2018$.name\u2019)<\/pre>\n <\/p>\n
**Create table statement<\/strong><\/p>\nCREATE TABLE DBA_table_test (eno INTEGER, edata JSON(100));<\/pre>\n <\/p>\n
**Insert into\u00a0 statement<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(2,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d, \u201cage\u201d : 24}\u2019);<\/pre>\n <\/p>\n
**Insert into JSON column<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(3,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d\u2018);<\/pre>\n <\/p>\n
**Create table Statement with encoding<\/strong><\/p>\nCREATE TABLE json_table(id INTEGER, json_j1 JSON CHARACTER SET UNICODE);<\/pre>\n <\/p>\n
**Create table Statement with JSON columns<\/strong><\/p>\nCREATE TABLE employee ( id INTEGER, json1 JSON(20), json2 JSON(25), json3 JSON(30), json4 JSON(1000), json5 JSON(5000));<\/pre>\n <\/p>\n
**Update and Set Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = NEW JSON(\u2018{\u201cname\u201d : \u201chimanshu\u201d}\u2019) WHERE edata.JSONExtractValue(\u2018$.name\u2019) = \u2018Deepak\u2019;<\/pre>\n <\/p>\n
**Update column value Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = \u2018{\u201cname\u201d : \u201cvarun\u201d}\u2019;<\/pre>\n <\/p>\n
**Delete Statement<\/strong><\/p>\nDELETE DBA_table_test WHERE CAST (edata.JSONExtractValue(\u2018$.age\u2019) AS INTEGER) = 24;<\/pre>\n <\/p>\n
Loading JSON Data<\/h2>\n\n- Load utility support\n
\n- Supported like LOB data \u2013 only in SQL protocol, not bulk loading<\/li>\n
- Choice of TPT script, SQL Assistant (SQLA), ODBC, JDBC, and ARC (backup)<\/li>\n
- Not currently supported: BTEQ, TPT API (which only supports bulk loading protocols)<\/li>\n<\/ul>\n<\/li>\n
- Many ETL tools support JSON data sources<\/li>\n<\/ul>\n
Enable JSON Support in Teradata<\/h2>\n
To enable JSON support in Teradata Database, the DBS Control field EnableJSON must be set to TRUE.<\/p>\n
Rules for JSON Data<\/h2>\n
There are certain rules to use Unicode characters in JSON data types, including specifying maximum limits and exponential numbers in JSON instances, along with removing white space inside or outside the root of the JSON object or array.<\/p>\n
\n- JSON allows inserting Unicode characters to the hexadecimal formats in a character string using \u2018\\u\u2019 string as an escape sequence. Although it is allowed within the JSON type, the \u2018\\u\u2019 hex Unicode character is not interpreted; but is merely stored as it is.<\/li>\n
- The white space characters inside the root of the JSON object or array are regarded significant, thus, are not removed. Similarly, the white space outside the root of the JSON object or array is trimmed, and not removed, for all instances of the JSON type.<\/li>\n
- The range of nesting imposed on a JSON instance is between 512 and 32000. It is set using the JSON_MaxDepth DBS Control Field. A nested object or array are not counted in this limit.<\/li>\n
- Teradata Database supports storing exponential numbers using scientific notation in JSON documents. Numbers can have a value between -1e308 and 1e308, non-inclusive, while the range of exponents is between -308 and 308, non-inclusive. Any exponent or number specified outside of the valid range will result in an error.<\/li>\n<\/ul>\n
The new version of Teradata Database with support for JSON for IoT capabilities have added another feather to the range of benefits of the database management system. Teradata\u2019s ability to store the non-SQL data generated by devices into an SQL database will help companies gain more information and insights about their customers\u2019 needs and purchasing patterns.<\/p>\n
That is all from us for this time. Let us know in comments how you perceive the new opportunities that open up with this amendment to Teradata and what the future holds for the database management system.<\/p>\n
Until next time!<\/li>\n<\/ul>\n
Credits:\u00a0<\/strong><\/p>\nhttp:\/\/dbtut.com<\/a><\/p>\nTechnical team:<\/strong><\/p>\nPankaj Chahar<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/strong><\/p>\nReferences:<\/p>\n
https:\/\/en.wikipedia.org<\/a><\/p>\nhttps:\/\/www.teradata.com\/Press-Releases\/2015\/Teradata-Accelerates-JSON-Data-Query-Performa<\/a><\/p>\nhttps:\/\/info.teradata.com\/htmlpubs\/DB_TTU_16_00\/index.html#page\/Teradata_Data_Types\/B035-1150-160K\/seb1472240527441.html<\/a><\/p>\nhttp:\/\/www.teradatawiki.net\/2014\/12\/Teradata-15-features.html<\/a><\/p>\n\n<\/div>\n
Database Management Systems Supporting JSON<\/h2>\n\n- MongoDB<\/strong>\u00a0\u2013 it is a NoSQL DBMS and stores the JSON documents in a binary-encoded format called BSON.<\/li>\n
- Apache CouchDB<\/strong>\u00a0\u2013 it is a document oriented open source database management system.<\/li>\n
- Azure DocumentDB\u00a0<\/strong>\u2013 it is a Microsoft\u2019s multi-tenant distributed database service managing JSON documents at Internet scale.<\/li>\n
- OrientDB<\/strong>\u00a0\u2013 it is an open source NoSQL DBMS written in Java and natively supports JSON.<\/li>\n
- Elasticsearch<\/strong>\u00a0\u2013 it is a search engine based on Lucene, schema-free JSON documents.<\/li>\n
- MySQL<\/strong>\u00a0\u2013 it is the world\u2019s most popular open source DBMS.\u00a0It has native\u00a0JSONdata types\u00a0that enable efficient access to data in JSON, automatic validation of JSON documents stored in\u00a0JSON\u00a0columns.<\/li>\n
- Oracle Database<\/strong>\u00a0\u2013 it is an object-relational DBMS by Oracle Corporation supporting JSON natively with relational database features.<\/li>\n
- PostgreSQL<\/strong>\u00a0\u2013 it is an ORDBMS with a number of JSON functions and operators that can be used with its two\u00a0JSON data types<\/a>(JSON, and JSONB).<\/li>\n<\/ul>\n
<\/p>\n
JSON Support for Teradata<\/h2>\n
If You Can\u2019t Join Them, JSON Them<\/em><\/strong><\/p>\nTeradata Database 15 has added JSON to its data warehouse. This means users can now define analytical queries across various systems, integrate and consume JSON data, and write & run non-SQL languages in-database. With Teradata Database 15, the supplier has aimed to fill out the logical data warehouse with a range of an organization\u2019s data sources. The support for JSON is directed at IoT capability \u2013 the world of sensors and embedded microprocessors. Thus, Teradata Database 15 is capable of delivering on the unified data architecture promise of enabling users to gain access to data for new, powerful insights.<\/p>\n
<\/p>\n
Multi-structured Data >> Data Warehouse<\/h1>\nTeradata datawarehouse xml json integration<\/figcaption><\/figure>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\n<\/h1>\nTeradata Database 15: JSON INTEGRATION<\/h1>\n
JSON (Javascript Object Notation) is a way to store information in an organized and accessible manner. It is a data interchange format, often used to transmit data in web applications. JSON is easier to read and write for humans and easier to parse and generate for machines than XML. The new Teradata Database version can store and process JSON records as JSON documents or in relational format. Teradata Database extends the following support for JSON data:<\/p>\n
\n- JSON data type<\/strong>:<\/strong>\u00a0allows storing of JSON data in text and binary (BSON, UBJSON) formats.<\/li>\n
- Shredding<\/strong>:<\/strong>\u00a0provides shredding functionality to extract values from JSON documents (which are about 16MB in size) and store this data in relational format.<\/li>\n
- Publishing<\/strong>:<\/strong>\u00a0allows publishing the results of SQL queries in JSON format.<\/li>\n
- Schema on read, late binding:<\/strong>\u00a0supports schema-less or dynamic schema to add new attributes without changing the schema. The data stored with the new attributes is immediately available for querying, while the rows without the new attributes are filtered out.<\/li>\n
- Geospatial conversion<\/strong>:<\/strong>\u00a0provides functionality to convert ST_Geometry object into a GeoJSON value and vice-versa.<\/li>\n
- Compression:<\/strong>\u00a0allows compression of JSON data of varying lengths.<\/li>\n
- Statistics, JIs for performance:<\/strong>\u00a0collects statistics on extracted portions of the JSON data type.<\/li>\n
- SQL Queries via JSONPath .dot notation:<\/strong>\u00a0JSONPath support to provide simple traversal and regular expressions with wildcards to filter and navigate complex JSON documents.<\/li>\n
- There are methods, functions, and stored procedures for parsing and validation that operate on the JSON data type.<\/li>\n
- Uses the existing join indexing structures on extracted portions of the JSON data type.<\/li>\n
- Apply advanced analytics to JSON data.<\/li>\n
- Use standard SQL to query JSON data.
\nTeradata Client Application Support for JSON<\/h2>\n\n- CLI:<\/strong>\u00a0Full native DBS support.<\/li>\n
- ODBC:<\/strong>\u00a0The ODBC driver supports LOB Input, Output and InputOutput parameters. Therefore, it can load JSON data. Also, the its Catalog (Data Dictionary) functions support JSON.<\/li>\n
- JDBC:<\/strong>\u00a0VARCHAR or CLOB values can be inserted into JSON destination columns.<\/li>\n
- .NET Data Provider:<\/strong>\u00a0No support.<\/li>\n
- Teradata Parallel Transporter (TPT):<\/strong>\u00a0JSON columns are treated like CLOB columns and are subjected to the same limitations. JSON columns are limited to 16 MB in size. Full support to import and export.<\/li>\n
- BTEQ:<\/strong>\u00a0Cannot use the JSON keyword in the USING data statement; therefore, JSON values must be referred either as CLOB or VARCHAR, with the value not exceeding 64 KB.<\/li>\n
- Standalone Utilities:<\/strong>\u00a0No support.<\/li>\n<\/ul>\n
Benefits of JSON Support in Teradata Database<\/h2>\n\n- JSON is the most widely accepted and used text-based data interchange format<\/li>\n
- It is independent of any programming languages<\/li>\n
- Nested structure of key-value or name-value pairs<\/li>\n
- Self-defining, easily manipulated data structure<\/li>\n
- New data dimension enables richer analytical insight<\/li>\n
- JSON integration joins existing XML integration<\/li>\n
- Accessed by developer friendly SQL extension<\/li>\n
- Optimizer, performance and availability feature integration<\/li>\n
- Late binding schema on read flexibility adds agility and avoids data warehouse changes<\/li>\n<\/ul>\n
Teradata Terminology for JSON<\/h2>\n\n- A JSON document is a string conforming to the JSON format. At the time of discussing JSON values in SQL context, JSON documents are referred to as an instance of the JSON data type.<\/li>\n
- When a JSON document structured is treated as an object it is written inside curly braces {}, while a JSON document structured when treated as an array it is written inside square bracket []. However, both are treated as JSON data type instances when taken in SQL context.<\/li>\n
- The serialized form is called JSON document and the structure of the JSON document is described as \u201ca JSON document structured as an array or object\u201d or JSON array and JSON object.<\/li>\n<\/ul>\n
The following is an example of a JSON document.<\/p>\n
Examples of Teradata JSON Statements<\/h2>\n
**Select statement<\/strong><\/p>\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).name;\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).name\r\n\r\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).JSONExtract(\u2018$.name\u2019);\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).JSONEXTRACT(\u2018$.name\u2019)<\/pre>\n <\/p>\n
**Create table statement<\/strong><\/p>\nCREATE TABLE DBA_table_test (eno INTEGER, edata JSON(100));<\/pre>\n <\/p>\n
**Insert into\u00a0 statement<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(2,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d, \u201cage\u201d : 24}\u2019);<\/pre>\n <\/p>\n
**Insert into JSON column<\/strong><\/p>\nINSERT INTO DBA_table_test VALUES(3,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d\u2018);<\/pre>\n <\/p>\n
**Create table Statement with encoding<\/strong><\/p>\nCREATE TABLE json_table(id INTEGER, json_j1 JSON CHARACTER SET UNICODE);<\/pre>\n <\/p>\n
**Create table Statement with JSON columns<\/strong><\/p>\nCREATE TABLE employee ( id INTEGER, json1 JSON(20), json2 JSON(25), json3 JSON(30), json4 JSON(1000), json5 JSON(5000));<\/pre>\n <\/p>\n
**Update and Set Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = NEW JSON(\u2018{\u201cname\u201d : \u201chimanshu\u201d}\u2019) WHERE edata.JSONExtractValue(\u2018$.name\u2019) = \u2018Deepak\u2019;<\/pre>\n <\/p>\n
**Update column value Statement<\/strong><\/p>\nUPDATE DBA_table_test SET edata = \u2018{\u201cname\u201d : \u201cvarun\u201d}\u2019;<\/pre>\n <\/p>\n
**Delete Statement<\/strong><\/p>\nDELETE DBA_table_test WHERE CAST (edata.JSONExtractValue(\u2018$.age\u2019) AS INTEGER) = 24;<\/pre>\n <\/p>\n
Loading JSON Data<\/h2>\n\n- Load utility support\n
\n- Supported like LOB data \u2013 only in SQL protocol, not bulk loading<\/li>\n
- Choice of TPT script, SQL Assistant (SQLA), ODBC, JDBC, and ARC (backup)<\/li>\n
- Not currently supported: BTEQ, TPT API (which only supports bulk loading protocols)<\/li>\n<\/ul>\n<\/li>\n
- Many ETL tools support JSON data sources<\/li>\n<\/ul>\n
Enable JSON Support in Teradata<\/h2>\n
To enable JSON support in Teradata Database, the DBS Control field EnableJSON must be set to TRUE.<\/p>\n
Rules for JSON Data<\/h2>\n
There are certain rules to use Unicode characters in JSON data types, including specifying maximum limits and exponential numbers in JSON instances, along with removing white space inside or outside the root of the JSON object or array.<\/p>\n
\n- JSON allows inserting Unicode characters to the hexadecimal formats in a character string using \u2018\\u\u2019 string as an escape sequence. Although it is allowed within the JSON type, the \u2018\\u\u2019 hex Unicode character is not interpreted; but is merely stored as it is.<\/li>\n
- The white space characters inside the root of the JSON object or array are regarded significant, thus, are not removed. Similarly, the white space outside the root of the JSON object or array is trimmed, and not removed, for all instances of the JSON type.<\/li>\n
- The range of nesting imposed on a JSON instance is between 512 and 32000. It is set using the JSON_MaxDepth DBS Control Field. A nested object or array are not counted in this limit.<\/li>\n
- Teradata Database supports storing exponential numbers using scientific notation in JSON documents. Numbers can have a value between -1e308 and 1e308, non-inclusive, while the range of exponents is between -308 and 308, non-inclusive. Any exponent or number specified outside of the valid range will result in an error.<\/li>\n<\/ul>\n
The new version of Teradata Database with support for JSON for IoT capabilities have added another feather to the range of benefits of the database management system. Teradata\u2019s ability to store the non-SQL data generated by devices into an SQL database will help companies gain more information and insights about their customers\u2019 needs and purchasing patterns.<\/p>\n
That is all from us for this time. Let us know in comments how you perceive the new opportunities that open up with this amendment to Teradata and what the future holds for the database management system.<\/p>\n
Until next time!<\/li>\n<\/ul>\n
Credits:\u00a0<\/strong><\/p>\nhttp:\/\/dbtut.com<\/a><\/p>\nTechnical team:<\/strong><\/p>\nPankaj Chahar<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/strong><\/p>\nReferences:<\/p>\n
https:\/\/en.wikipedia.org<\/a><\/p>\nhttps:\/\/www.teradata.com\/Press-Releases\/2015\/Teradata-Accelerates-JSON-Data-Query-Performa<\/a><\/p>\nhttps:\/\/info.teradata.com\/htmlpubs\/DB_TTU_16_00\/index.html#page\/Teradata_Data_Types\/B035-1150-160K\/seb1472240527441.html<\/a><\/p>\nhttp:\/\/www.teradatawiki.net\/2014\/12\/Teradata-15-features.html<\/a><\/p>\n\n<\/div>\n
<\/p>\n
JSON Support for Teradata<\/h2>\n
If You Can\u2019t Join Them, JSON Them<\/em><\/strong><\/p>\n Teradata Database 15 has added JSON to its data warehouse. This means users can now define analytical queries across various systems, integrate and consume JSON data, and write & run non-SQL languages in-database. With Teradata Database 15, the supplier has aimed to fill out the logical data warehouse with a range of an organization\u2019s data sources. The support for JSON is directed at IoT capability \u2013 the world of sensors and embedded microprocessors. Thus, Teradata Database 15 is capable of delivering on the unified data architecture promise of enabling users to gain access to data for new, powerful insights.<\/p>\n <\/p>\n JSON (Javascript Object Notation) is a way to store information in an organized and accessible manner. It is a data interchange format, often used to transmit data in web applications. JSON is easier to read and write for humans and easier to parse and generate for machines than XML. The new Teradata Database version can store and process JSON records as JSON documents or in relational format. Teradata Database extends the following support for JSON data:<\/p>\n The following is an example of a JSON document.<\/p>\n **Select statement<\/strong><\/p>\n <\/p>\n **Create table statement<\/strong><\/p>\n <\/p>\n **Insert into\u00a0 statement<\/strong><\/p>\n <\/p>\n **Insert into JSON column<\/strong><\/p>\n <\/p>\n **Create table Statement with encoding<\/strong><\/p>\n <\/p>\n **Create table Statement with JSON columns<\/strong><\/p>\n <\/p>\n **Update and Set Statement<\/strong><\/p>\n <\/p>\n **Update column value Statement<\/strong><\/p>\n <\/p>\n **Delete Statement<\/strong><\/p>\n <\/p>\n To enable JSON support in Teradata Database, the DBS Control field EnableJSON must be set to TRUE.<\/p>\n There are certain rules to use Unicode characters in JSON data types, including specifying maximum limits and exponential numbers in JSON instances, along with removing white space inside or outside the root of the JSON object or array.<\/p>\n The new version of Teradata Database with support for JSON for IoT capabilities have added another feather to the range of benefits of the database management system. Teradata\u2019s ability to store the non-SQL data generated by devices into an SQL database will help companies gain more information and insights about their customers\u2019 needs and purchasing patterns.<\/p>\n That is all from us for this time. Let us know in comments how you perceive the new opportunities that open up with this amendment to Teradata and what the future holds for the database management system.<\/p>\n Until next time!<\/li>\n<\/ul>\n Credits:\u00a0<\/strong><\/p>\n http:\/\/dbtut.com<\/a><\/p>\n Technical team:<\/strong><\/p>\n Pankaj Chahar<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/strong><\/p>\n References:<\/p>\n https:\/\/en.wikipedia.org<\/a><\/p>\n https:\/\/www.teradata.com\/Press-Releases\/2015\/Teradata-Accelerates-JSON-Data-Query-Performa<\/a><\/p>\n https:\/\/info.teradata.com\/htmlpubs\/DB_TTU_16_00\/index.html#page\/Teradata_Data_Types\/B035-1150-160K\/seb1472240527441.html<\/a><\/p>\n http:\/\/www.teradatawiki.net\/2014\/12\/Teradata-15-features.html<\/a><\/p>\n\nMulti-structured Data >> Data Warehouse<\/h1>\n
<\/h1>\n
<\/h1>\n
<\/h1>\n
<\/h1>\n
<\/h1>\n
<\/h1>\n
<\/h1>\n
<\/h1>\n
Teradata Database 15: JSON INTEGRATION<\/h1>\n
\n
\nTeradata Client Application Support for JSON<\/h2>\n
\n
Benefits of JSON Support in Teradata Database<\/h2>\n
\n
Teradata Terminology for JSON<\/h2>\n
\n
Examples of Teradata JSON Statements<\/h2>\n
SELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).name;\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).name\r\n\r\nSELECT NEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019).JSONExtract(\u2018$.name\u2019);\r\n\r\nNEW JSON(\u2018{\u201cname\u201d:\u201dAl\u201d,\u201dname\u201d:\u201dPankajDBA\u201d}\u2019, LATIN).JSONEXTRACT(\u2018$.name\u2019)<\/pre>\nCREATE TABLE DBA_table_test (eno INTEGER, edata JSON(100));<\/pre>\n
INSERT INTO DBA_table_test VALUES(2,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d, \u201cage\u201d : 24}\u2019);<\/pre>\nINSERT INTO DBA_table_test VALUES(3,\r\n\r\n\u2018{\u201cname\u201d : \u201cDeepak\u201d\u2018);<\/pre>\nCREATE TABLE json_table(id INTEGER, json_j1 JSON CHARACTER SET UNICODE);<\/pre>\n
CREATE TABLE employee ( id INTEGER, json1 JSON(20), json2 JSON(25), json3 JSON(30), json4 JSON(1000), json5 JSON(5000));<\/pre>\n
UPDATE DBA_table_test SET edata = NEW JSON(\u2018{\u201cname\u201d : \u201chimanshu\u201d}\u2019) WHERE edata.JSONExtractValue(\u2018$.name\u2019) = \u2018Deepak\u2019;<\/pre>\nUPDATE DBA_table_test SET edata = \u2018{\u201cname\u201d : \u201cvarun\u201d}\u2019;<\/pre>\nDELETE DBA_table_test WHERE CAST (edata.JSONExtractValue(\u2018$.age\u2019) AS INTEGER) = 24;<\/pre>\n
Loading JSON Data<\/h2>\n
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Enable JSON Support in Teradata<\/h2>\n
Rules for JSON Data<\/h2>\n
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