Hive Json Schema Generator

Thankfully this is very easy to do in Spark using Spark SQL DataFrames. To change the schema of a table or view by using SQL Server Management Studio, in Object Explorer, right-click the table or view and then click Design. I am new to Nifi and exploring Nifi to generate CSV file from a database table and as part of this exercise using 'QueryDatabaseTable' processor to extract data and then converting to JSON flowfile-attribute with the following sequence of processors: QueryDatabaseTable--> ConvertAvrotoJSON-->EvaluateJSONPath-->AttributestoJSON-->ReplaceText-->PutFile. Installers. Before changing the schema after modifying the schema. A data scientist and DZone Zone Leader introduces an open source project he has started that allow developers to convert data stored JSON files to Table DDL. We think Avro is the best choice for a number of reasons: It has a direct mapping to and from JSON; It has a very compact format. And we have provided running example of each functionality for better support. I was wondering if there is any way, I could make the column names case sensitive? I am running a model on a data, the data is now stored in hive, the model has columns referred in camel case. Getting Started. That will show you how to upload the JSON Serde Jar, and then once you restart your cluster, the JAR will automatically be on the Spark Classpath and you should be able to create a Spark SQL table using that serde.   This Improves the CPU Usage for operation like,  Scan, Filter, join and aggregations. The Information Schema. sql("SELECT * FROM people_json") df. You could instead read it with GenericDatumReader, from MapReduce or Hive. For step-by-step instructions or to customize, see Intro to Hadoop and Hive. The CData BizTalk Adapter makes it easy to process Apache Hive data in BizTalk by returning the data as XML. Map the Hive to use this avro schema location in HDFS; If some change comes in schema update the database and the system would again generate new avro schema; Push the new schema to HDFS; Hive would use new schema without breaking old data should be able to support schema changes and evolution for data in Hadoop. I've already written about the Apache Kafka Message Broker. Hive is a append only database and so update and delete is not supported on hive external and managed table. I am running the code in Spark 2. Note that we cannot query for User. JSON TO HIVE TABLE ===== In this, we are going to load JSON data into Hive tables, and we will fetch the values stored in JSON schema using th. 14 the have started a new feature called transactional. Press button, get result. Hi, How to convert JSON string tio JSON Schema Programmatically in c#. Try our FREE Schema Generator. If you have multiple tables in DBMS (Database Management System) structure in your. Just follow these three (or four) steps: 1. Copy To Clipboard Json Copied To Clipboard Unable to Copy Json Json Copied To. Generate JSON Schema. doc: a JSON string providing documentation to the user of this schema (optional). Similar to the XML schema, which is written in pure XML format for validating XML, JSON schema is written in pure JSON format for validating JSON. Use "Text to DDL" to quickly build your schema objects from text. SCHEMA will result in a smaller and faster Avro encoding for your data. Why do we stick to. JSON is a viable option for transferring data between systems. This command produces a Schema by inspecting the first few JSON objects in the data sample. The test case below demonstrates how to reproduce the issue as well as workaround it. Schema Registry. Limitations Hive partitioning support is built assuming a common source URI prefix for all URIs that ends immediately before partition encoding, which looks like gs:// field into Hive table? kafka consumer fails to read avro data. schema: Optional schema to use while reading from the Hive table. Read data from an existing Hive installation; people. In order to keep track of all our endpoints, we use a rich notation called JSON Hyper-Schema. Apache Pig can read JSON-formatted data if it is in a particular format. Now you can generate the JSON file from Oracle table using PL/SQL, as shown in below example. The environment config file: env. Hybridge Hybrid application framework that provides JSON RPC based communication protocol. NOTE: This page lists implementations with (or actively working towards) support for draft-06 or later.   This Improves the CPU Usage for operation like,  Scan, Filter, join and aggregations. Setup hive-server2 on mac/ Linux. Most relational databases use SQL for data and schema manipulation. Drill uses these types internally for reading complex and nested data structures from data sources such as JSON. What you need is a Json. I am new to Nifi and exploring Nifi to generate CSV file from a database table and as part of this exercise using 'QueryDatabaseTable' processor to extract data and then converting to JSON flowfile-attribute with the following sequence of processors: QueryDatabaseTable--> ConvertAvrotoJSON-->EvaluateJSONPath-->AttributestoJSON-->ReplaceText-->PutFile. The reconciliation rules are:. It supports all the advanced features, including choices and polymorphism. At the time of reading the JSON file, Spark does not know the structure of your data. This article will not cover the installation and setup of Oracle Data Integrator. Create a new database schema that is different from the relational database schema. This article will walk through the following steps to load data from Json file to Oracle table : 1. 3, SchemaRDD will be renamed to DataFrame. /* ---[ A tool to automate creation of Hive JSON schemas ]--- */ One feature missing from the openx JSON SerDe is a tool to generate a schema from a JSON document. Spark SQL is a component on top of Spark Core that introduces a new data abstraction called SchemaRDD, which provides support for structured and semi. registering generated avro schema at Avro Schema Registry, creating Elasticsearch index or creating Hive table. These schemas describe the following details − Using these schemas, you can store serialized values in binary format using. You would have to revise the schema and then reissue the query. Background. Choose from the following 5 JSON conversions offered by this tool: CSV to JSON - array of JSON structures matching your CSV plus JSONLines (MongoDB) mode; CSV to Keyed JSON - Generate JSON with the specified key field as the key value to a structure of the remaining fields, also known as an hash table or associative array. Creating the Hive table over Ranger Audit Logs on HDFS. The Kafka Connect extension helps in importing messages from external systems, or exporting messages to them, and is also excellent. JSON TO HIVE TABLE ===== In this, we are going to load JSON data into Hive tables, and we will fetch the values stored in JSON schema using th. For many Apache Kylin users, when deploying Kylin in the production environment, how to measure Kylin's performance before delivering to the business is a problem. There are basically 3 stages for the Twitter analyzer:. Sql Show Schema Of Table The DESCRIBE statement provides information similar to SHOW COLUMNS. This document also defines a set of keywords that can be used to specify validations for a JSON API. ; Change Log. higgla Lightweight, scalable, indexed, JSON document storage. Enter the Hive command line by typing hive at the Linux prompt: 2. JSONLint is a validator and reformatter for JSON, a lightweight data-interchange format. Conditional based on schema from JDBC multitable consumer. You can use this data in a BizTalk orchestration by creating an XML schema file for the table you want to access in BizTalk. The reconciliation rules are:. JSON TO HIVE SCHEMA GENERATOR JSON To Hive Schema Generator is a command line tool designed to automatically generate hive schema from JSON Data. It has been about 7 months since I started writing a JSON Schema library, named go-jsschema, and other associated libraries for Go. Other Related Links. If you are using Schema Registry for Kafka, then a subject refers to either a "-key" or "-value" depending on whether you are registering the key schema for that topic or the value schema. NET Schema package. It is important to understand that when using Hive to query data in an Oracle NoSQL Database table, the schema of the Hive external table you create is dependent on the schema of the corresponding Oracle NoSQL Database table you wish to query. JSON Schema specification is currently under draft and the latest version is v4. org Vocabulary. Spark SQL can automatically infer the schema of a JSON dataset, and use it to load data into a DataFrame object. Specify your schema in HDFS using table properties similar. This article helps us look at the file formats supported by Hadoop ( read, HDFS) file system. Here , JSON file is extracted from Cloudera Manager (JSON file Content: IMPALA query report). Now if we download and view the schema file with name pig_schema, we can view the following data. JSON Schema Generator - automatically generate JSON schema from JSON. I did googling and all I am seeing how to create hive table out of JSON data. GitHub Gist: instantly share code, notes, and snippets. For this implementation, since we're using the jackson parser, we can construct our own object implementation, and we use HCatRecord for it. As a dedicated data integration tool, SSIS has many advantages over PowerShell for this type of work. The second part of your query is using spark. “Apache Spark, Spark SQL, DataFrame, Dataset” Jan 15, 2017. JSON supports wide range of data types which includes Number, String, Boolean, Array, Object, Null. Beginners Guide For Hive Perform Word Count Job Using Hive Pokemon Data Analysis Using Hive Connect Tableau Hive. Convert JSON string to JSON Schema in c# Programmatically. Altova MissionKit Tool Suite. Therefore, when a query is executed over a source stored in Druid, Hive may push filtering and aggregation to Druid, generating and sending JSON queries to the REST API exposed by the engine. The below schema will be generated automatically by the JsonStorage API. Create mapping and execute the job. In the JSON schema designer, all JSON schema information are fetched from the JSON string and all JSON schema are listed in hierarchical order to design one or more than one table. org markup and can be tested at Google's Structured Data Testing Tool. Or you can just execute. Display the actual schema stored in json_emply table using select command. json() on either an RDD of String or a JSON file. Generate JSON Schemas. NET attributes. This article presents an overview of how to use Oracle Data Integrator (ODI) for Big Data with Hive parquet storage. In traditional relational schema there can be a lot of one-to-many relationships (e. File Format Benchmark - Avro, JSON, ORC, & Parquet Owen O’Malley [email protected] Introduction to Semi-structured Data¶. Schema evolution in Avro, Protocol Buffers and Thrift. When using that JSON Serde, you define your Hive schema based on the contents of the JSON. I want to create a Hive table out of some JSON data (nested) and run queries on it? How do you make a HIVE table out of JSON data? Generating SerDe schema. If you wish to switch from using url or schema to the other, set the to-be-ignored value to none and the AvroSerde will treat it as if it were not set. Specify your schema in HDFS using table properties similar. A JSON Schema is a JSON document that describes the structure of the JSON data.   This Improves the CPU Usage for operation like,  Scan, Filter, join and aggregations. Any data that has schema is considered as structured data, for example, JSON, Hive tables, parquet file formats, etc. Select a CSV file. How To Get The Schema Of A Table In Teradata I am trying to find out a solution/an answer for my problem for some days and my I can only grant privileges to tables but not to schema (+ its content). Map the Hive to use this avro schema location in HDFS; If some change comes in schema update the database and the system would again generate new avro schema; Push the new schema to HDFS; Hive would use new schema without breaking old data should be able to support schema changes and evolution for data in Hadoop. Database JSON File This article series was rewritten in mid 2017 with up-to-date information and fresh examples. Analyzing the data. The kafka message is json type, in pipeline I flatten entire fields and generate a new 'yyyy-MM-dd' field for partition, when run the pipeline it reported errors like the following. but let's keep the transactional table for any other posts. Design, document and manage SQL and NoSQL databases. This quick start assumes basic familiarity with AWS. There are processors for handling JSON, XML, CSV, Avro, images and video, and several other formats. Person may have several phones, or several email addresses). The ultimate JSON-LD (schema. A null in a field that is not so defined will result in an exception during the save. This video describes an easy to use Python script to generate data for Hive, based on an input table schema. Cast JSON strings to Drill Date/Time Data Type Formats. Schema evolution in Avro, Protocol Buffers and Thrift. Joins are allowed in Hive, and are highly useful, but in general: A good Hive schema will be less normalized than an RDBMS or OLAP schema, in large part to avoid joins. Reading JSON-Formatted Data With JsonLoader. SETUP (create parquet table with Sqoop import and Beeline CTAS). Semi-structured data is data that does not conform to the standards of traditional structured data, but it contains tags or other types of mark-up that identify individual, distinct entities within the data. But then there is no option to generate Java code which can be used in my existing Java-Spring project. Schema Panel Use this panel to setup your database problem (CREATE TABLE, INSERT, and whatever other statements you need to prepare a representative sample of your real database). Useful, free online tool that converts XML to JSON. The first part of your query. json2hive is a command line utility that can automatically generate CREATE TABLE statements for Hive tables backed by JSON data. This has a performance. Any data that has schema is considered as structured data, for example, JSON, Hive tables, parquet file formats, etc. May 1, 2019 Update: Our JSON-LD Generator has been redeveloped from scratch and is now live in “beta” mode. “Apache Spark, Spark SQL, DataFrame, Dataset” Jan 15, 2017. Kafka Serialization and the Schema Registry First published on: April 18, 2017. Create a new database schema that is different from the relational database schema. The scenario shows how we can ingest CSV files into Hive and store them directly in Parquet format using standard connectors and Knowledge Modules (KMs) offered by Oracle Data. Unfortunately, it is not possible for the serde to cause Hive to skip the record entirely. It has been about 7 months since I started writing a JSON Schema library, named go-jsschema, and other associated libraries for Go. If your IDE supports NuGet Packages, and Visual Studio does for ages, this is the best way to add the library to your project. To start a Spark’s interactive shell:. Generate the schema based on the string of schema. If you continue browsing the site, you agree to the use of cookies on this website. In JSON, one can have maps where values can be of multiple types. To support this in the new schema we will break up the footnote table and create a list of footnotes in _nut_data_ and _food_des_. Schema namespace. The first part of your query. If you have multiple tables in DBMS (Database Management System) structure in your. Moreover, in this Avro Schema, we will discuss the Schema declaration and Schema resolution. Schema Registry provides a serving layer for all types of metadata. If a table with the same name already exists in the database, an exception is thrown. Other Related Links. Vectorization in hive is a feature (available from Hive 0. Welcome! Select Schema to start working. symbols: a JSON array, listing symbols, as JSON strings (required). To support this in the new schema we will break up the footnote table and create a list of footnotes in _nut_data_ and _food_des_. In this post, we will show the workings of Spark SQL with a Twitter JSON dataset. Now you can generate the JSON file from Oracle table using PL/SQL, as shown in below example. These schemas describe the following details − Using these schemas, you can store serialized values in binary format using. Person may have several phones, or several email addresses). It uses Schema. Getting Avro Tools. BigQuery supports loading externally partitioned data in Avro, Parquet, ORC, CSV and JSON formats that is stored on Cloud Storage using a default hive partitioning layout. Get interactive SQL access to months of Papertrail log archives (using Hadoop and Hive), in 5-10 minutes, without any new hardware or software. 0 (with less JSON SQL functions). Programmatically Specifying the Schema - The second method for creating DataFrame is through programmatic interface that allows you to construct a schema and then apply it to an existing RDD. I have a data pipeline from kafka to hive. I would like to do the same. To start a Spark’s interactive shell:. Beginners Guide For Hive Perform Word Count Job Using Hive Pokemon Data Analysis Using Hive Connect Tableau Hive. JSON defines a small set of formatting rules for the portable representation of structured data. To create the perfect schema definition, another library called hive-json-schema by user quux00 on github was used. It’s becoming one of the most widely used ways of representing a semi-structured collection of data fields. symbols: a JSON array, listing symbols, as JSON strings (required). By default, these tables are stored in a subdirectory under the directory defined by hive. Today, we'll reverse the polarity of the stream, and show how to use NiFi to extract records from a relational database for ingest into something else -- a different database, Hadoop on EMR, text files, anything you can do with NiFi. This enables one to quickly ingest data into Hive with minimal effort for mapping and transformations as part of your ingest data flow pipelines. This data generator for Hive solves the issue of loading data into tables with a lot of. Can I ingest avro messages contains Map field into Hive table? kafka consumer fails to read avro data. In this post, we will show the workings of Spark SQL with a Twitter JSON dataset. 0) or createGlobalTempView on our spark Dataframe. If you already have a relational database instance in the organization that you can utilize, you have the option of using it as the Hive metastore database. Hive is a great tool to use to prepare the data before loading it into the data destination. These schemas describe the following details − Using these schemas, you can store serialized values in binary format using. A subject refers to the name under which the schema is registered. Introduction. ; Change Log. Right now we have 3 types: person, local business and organization. While you can embed a schema directly in your CREATE TABLE statement, as shown above, column width restrictions in the Hive metastore limit the length of schema you can specify. Semi-structured data is data that does not conform to the standards of traditional structured data, but it contains tags or other types of mark-up that identify individual, distinct entities within the data. No ads, nonsense or garbage, just an XML to JSON converter. Home › Course Unit › ⏯ Hive table over an Avro folder & avro-tools to generate the schema ⏯ Hive table over an Avro folder & avro-tools to generate the schema Posted on November 29, 2017 by. symbols: a JSON array, listing symbols, as JSON strings (required). We think Avro is the best choice for a number of reasons: It has a direct mapping to and from JSON; It has a very compact format. 0 (with less JSON SQL functions). The Apache Kafka installation comes bundled with a number of Kafka tools. We will consider /etc/passwd file on Linux file system to load into pig and extract user. df = sqlContext. Therefore, when a query is executed over a source stored in Druid, Hive may push filtering and aggregation to Druid, generating and sending JSON queries to the REST API exposed by the engine. For implementations supporting only draft-04 or older, see the Obsolete Implementations page. GitHub Gist: instantly share code, notes, and snippets. Apache NiFi is being used by many companies and organizations to power their data distribution needs. Learn more about JSON and RESTful Web Services. Or you can just execute. JSON Schema Core: The JSON Schema Core specification is where the terminology for a schema is defined. For this implementation, since we're using the jackson parser, we can construct our own object implementation, and we use HCatRecord for it. json which is expecting a file. They provided a JSON schema to us. One of the easiest ways to add Schema’s structured markup to a page is to use JSON-LD. org Vocabulary. We were recently approached to implement validation of JSON HTTP requests based on Play's Validation API and a JSON schema. Datasets in Data Science Studio have a schema. The CData BizTalk Adapter makes it easy to process Apache Hive data in BizTalk by returning the data as XML. First thing I'd like to do is create an external table in Hive, where I'm going to "load" the raw JSON files, so we can play around a little with some of the out of box Hive functions for JSON. hive-json-schema (tool I used to create DDL from JSON – this is one time step only) is buggy (it was able to get job reasonable well done and saved a lot of time, few tweaks had to be done to fix DDL) Hadoop had no issue to create sample JSON (less than 10 minutes task for 13mm records JSON). Introduction to Semi-structured Data¶. Newly created JSON data can be retrieved from the part file. com @owen_omalley September 2016 Who Am I? Worked on Hadoop since Jan 2006 MapReduce, Security, Hive, and ORC Worked on different file formats. In this post, we have created a hive to hbase mapping table in order to migrate data from hive to hbase. We will then use the spark-sql interface to query the generated tables. If you want to generate one schema for each row in the result set, select the Message Per Row option and confirm that the root element of the message is 'row'. I want to create a Hive table out of some JSON data (nested) and run queries on it? How do you make a HIVE table out of JSON data? Generating SerDe schema. Home › Course Unit › ⏯ Hive table over an Avro folder & avro-tools to generate the schema ⏯ Hive table over an Avro folder & avro-tools to generate the schema Posted on November 29, 2017 by. 0) or createGlobalTempView on our spark Dataframe. JavaBeans and Scala case classes representing rows of the data can also be used as a hint to generate the schema. Works by detecting CREATE TABLE and INSERT INTO statements, in order to create an object representation of the tables. Trouble transforming US Census API data into Avro. Add your CSV file (we'll work with it within your browser; it won't get uploaded anywhere unless you choose to do the validation step at the end). Create a table using a data source. File Format Benchmark - Avro, JSON, ORC, & Parquet Owen O’Malley [email protected] However, if you create a partitioned table from existing data, Spark SQL does not automatically discover the partitions and register them in the Hive metastore. org) generator. sh in the downloaded directory above, to generate and load data into the tables hourly. “Apache Spark, Spark SQL, DataFrame, Dataset” Jan 15, 2017. Similar to the XML schema, which is written in pure XML format for validating XML, JSON schema is written in pure JSON format for validating JSON. Schema Registry. You will note the following: Avro records have a notion of order of their fields; however, JSON has no such notion, and neither has JSON Schema: the order keyword is therefore ignored;. Importing Data into Hive Tables Using Spark. primitive data types and complex data types in Apache Avro Schema. That will show you how to upload the JSON Serde Jar, and then once you restart your cluster, the JAR will automatically be on the Spark Classpath and you should be able to create a Spark SQL table using that serde. We think Avro is the best choice for a number of reasons: It has a direct mapping to and from JSON; It has a very compact format. I am trying to create a HIVE table from JSON file. Hive is a append only database and so update and delete is not supported on hive external and managed table. This memo provides information for the Internet community. Introduction To Hive How to use Hive in Amazon EC2 • Place credentials. "Query Complex Data" show how to use composite types to access nested arrays. A data scientist and DZone Zone Leader introduces an open source project he has started that allow developers to convert data stored JSON files to Table DDL. So you have some data that you want to store in a file or send over the network. look a bit strange in their JSON representation, but rest assured that the data. For many Apache Kylin users, when deploying Kylin in the production environment, how to measure Kylin's performance before delivering to the business is a problem. Categories: BigData. json which is expecting a file. Library enables installing generated data model at target data store e. Just follow these three (or four) steps: 1. JavaScript Object Notation (JSON) is a lightweight, text-based, language-independent data interchange format. We will use Avro Tools to convert the JSON file into binary Avro, without and with compression (Snappy), and from binary Avro back to JSON. The most important part is that it generates “Google validated” markup. Uses the sample JSON document to infer a JSON schema. The second part of your query is using spark. It sits under the Newtonsoft. Hadoop FS writes incomplete files in JSON. JSON Functions. This page describes the steps to setup such a job. Create mapping and execute the job. If spark generates one, it will read a subset of the data, and generate a schema based off that, so if you have a large dataset where some keys occur very infrequently, then it is possible you will miss them. JavaBeans and Scala case classes representing rows of the data can also be used as a hint to generate the schema. The scenario shows how we can ingest CSV files into Hive and store them directly in Parquet format using standard connectors and Knowledge Modules (KMs) offered by Oracle Data. In this case, SELECT * FROM does not return results. com @owen_omalley September 2016 Who Am I? Worked on Hadoop since Jan 2006 MapReduce, Security, Hive, and ORC Worked on different file formats. Now we’ll take a look at how to download JSON data with SSIS. Benchmark - Avro, JSON, ORC, & Parquet Owen OMalley [email protected] doc: a JSON string providing documentation to the user of this schema (optional). There are processors for handling JSON, XML, CSV, Avro, images and video, and several other formats. JSON Schema is a standard (currently in draft) which provides a coherent schema by which to validate a JSON "item" against. Define data quality measure Apache Griffin env configuration. We use the same API to power the dashboard itself. But then there is no option to generate Java code which can be used in my existing Java-Spring project. Now, MongoDB has open-sourced a set of code (which can be found here) that allows user to create Hive table with underlying data that lives in MongoDB. JSON supports wide range of data types which includes Number, String, Boolean, Array, Object, Null. JSON Schema Validation: The JSON Schema Validation specification is the document that defines the valid ways to define validation constraints. df = sqlContext. As part of this work, I've had need to use the Hive IMPORT and EXPORT commands as part of the migration of tables from one cluster to another. In this case, SELECT * FROM does not return results. Limitations Hive partitioning support is built assuming a common source URI prefix for all URIs that ends immediately before partition encoding, which looks like gs:// does not return results. Click here to download example data to analyze —> UsaGovData The data present in the above file is JSON Format and its JSON Schema is as shown below,. Apache NiFi is being used by many companies and organizations to power their data distribution needs. They provided a JSON schema to us. On relational database tables, functions like Insertions, Updates, and Modifications can be performed. Validating JSON using JSON schema. These schemas are used to generate the complete. No changes need be made to the Hive schema to support this, as all fields in Hive can be null. JSON Schema Core: The JSON Schema Core specification is where the terminology for a schema is defined. How to Dump Tables in CSV, JSON, XML, Text, or HTML Format You want to send results of your computations in Azure Databricks outside Azure Databricks. ApiActivityList A generic list. We will then use the spark-sql interface to query the generated tables. GitHub Gist: instantly share code, notes, and snippets. Requirements. Spark SQL can automatically infer the schema of a JSON dataset, and use it to load data into a DataFrame object. Thankfully this is very easy to do in Spark using Spark SQL DataFrames. JSON TO HIVE SCHEMA GENERATOR JSON To Hive Schema Generator is a command line tool designed to automatically generate hive schema from JSON Data. Select a CSV file. Similar to the XML schema, which is written in pure XML format for validating XML, JSON schema is written in pure JSON format for validating JSON. When you read json data, you can either have spark generate a schema itself, or supply one yourself. While researching Hive’s support for Avro, I stumbled across a Hive feature which, given an Avro binary and schema file, you can create a Hive table just by linking to an Avro schema file:. First creating a table then inserting data into the particular table. Apache NiFi is being used by many companies and organizations to power their data distribution needs. Can I ingest avro messages contains Map field into Hive table? kafka consumer fails to read avro data. higgla Lightweight, scalable, indexed, JSON document storage. NET attributes. The generator has a number of options for customizing generated schemas. This article will walk through the following steps to load data from Json file to Oracle table : 1. The white tables are basically just merged into their parent tables, either directly or as a list. Learn how to create an Avro schema and convert field types in order to generate your Avro schema automatically. Thankfully this is very easy to do in Spark using Spark SQL DataFrames. We can use JSON Schema to specify that documents can be any of these. This page describes the steps to setup such a job. hive json schema Tool to generate a Hive schema from a JSON example doc. The first part of your query.  Used spark –sql to load JSON data and create Schema RDD and loaded it into hive tables and handled structured data using spark sql  Load the data into spark RDD and do in memory data computing. Schema Registry provides a serving layer for all types of metadata. Basic Types. GET /subjects¶ Get a list of registered subjects. /gen-hive-data. This is why we believe that Schema Registry is a must-have component for any data storage and processing platform, and especially for stream processing platforms. Using Json.