Postgres expand json array to rows

result.rows: Array<any> Every result will have a rows array. If no rows are returned the array will be empty. Otherwise the array will contain one item for each row returned from the query. By default node-postgres creates a map from the name to value of each column, giving you a json-like object back for each row. result.fields: Array<FieldInfo>

Here FROM x, function(x.column) is a shortened form of a lateral join which effectively joins every row from categories with virtual table created by jsonb_to_recordset function from jsonb array in that same row.

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array_to_json(anyarray [, pretty_bool]) json: Returns the array as JSON. A PostgreSQL multidimensional array becomes a JSON array of arrays. Line feeds will be added between dimension 1 elements if pretty_bool is true. array_to_json('{{1,5},{99,100}}'::int[]) [[1,5],[99,100]] row_to_json(record [, pretty_bool]) json: Returns the row as JSON.

postgresql支持两种json数据类型：json和jsonb，而两者唯一的区别在于效率,json是对输入的完整拷贝，使用时再去解析，所以它会保留输入的空格，重复键以及顺序等。

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Sep 06, 2020 · I then wrote a script to convert CSV to JSON, using the column headers as field tags, but then iterated to take MySQL output directly: $ mysql -e "source myscript.sql" |awk -F "\t" -f tab2json.awk. One caveat is that the enclosing array brackets of the JSON records are omitted, but these are easy enough to add after the fact.

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Jan 19, 2019 · DECLARE @JSON VARCHAR(MAX) SELECT @JSON = BulkColumn FROM OPENROWSET (BULK 'C:\file-location\my-data.json', SINGLE_CLOB) AS j. You need to pass in a second argument to tell OPENROWSET what kind of data type to import. Since this is a text string, use SINGLE_CLOB. 1. OPENROWSET will then read the file as VARCHAR (MAX).

This attribute defines the size of the space between two cells in a percentage value or pixels. The attribute is applied both horizontally and vertically, to the space between the top of the table and the cells of the first row, the left of the table and the first column, the right of the table and the last column and the bottom of the table and the last row.

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Jan 26, 2017 · The `jsonb_insert` function brought in with PostgreSQL 9.6 gives more control when inserting new values into a jsonb array and/or new keys into a jsonb object. This article introduces this new function together with some examples. It seems that in every recent PostgreSQL release, another improvement or new feature regarding JSON data comes to light. […]

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I'm not sure you have a json[] (PostgreSQL array of json values) typed column, or a json typed column, which appears to be a JSON array (like in your example). Either case, you need to expand your array before querying.

Jan 30, 2018 · Questions: Short version of the question! Consider the following snippet (assuming spark is already set to some SparkSession): from pyspark.sql import Row source_data = [ Row(city="Chicago", temperatures=[-1.0, -2.0, -3.0]), Row(city="New York", temperatures=[-7.0, -7.0, -5.0]), ] df = spark.createDataFrame(source_data) Notice that the temperatures field is a list of floats.

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Dec 12, 2013 · In October, RedShift added new functions to work with JSON 1 but the support is missing something like Hive's explode () or Postgres' unnest () functions to expand an array from one column into one row for each element.

May 08, 2008 · Arrays are one of those more special features in PostgreSQL. Like any more esoteric features, you have people both in favor and opposed to them. On the pro side you have the fact that you can have an arbitrary number of elements without wasting space and/or having cumbersome table structure.

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Oct 15, 2018 · This PowerShell Scripting guide to Python is designed to make readers familiar with syntax, semantics and core concepts of Python language, in an approach that readers can totally relate with the concepts of PowerShell already in their arsenal, to learn Python fast and effectively, such that it sticks with readers for longer time.
May 01, 2019 · Introduction of JSON in Python : The full-form of JSON is JavaScript Object Notation. It means that a script (executable) file which is made of text in a programming language, is used to store and transfer the data. Python supports JSON through a built-in package called json. To use this feature, we import the json package in Python script.
Querying JSON (JSONB) data types in PostgreSQL. One of the unusual features of the PostgreSQL database is the ability to store and process JSON documents. In the past, data analysts and engineers had to revert to a specialized document store like MongoDB for JSON processing. But with the powerful JSON features built into PostgreSQL, the need ...
Important: As of jQuery 1.4, if the JSON file contains a syntax error, the request will usually fail silently. Avoid frequent hand-editing of JSON data for this reason. JSON is a data-interchange format with syntax rules that are stricter than those of JavaScript's object literal notation.
Jan 18, 2019 · Postgres complex data types (hstore, json, jsonb, array) are very useful tools in database design. Having multiple values under one attribute definitely has its use cases. There are plenty of articles that compare the NoSQL database performance to the PostgreSQL JSON datatypes.
Mar 06, 2019 · For a Parquet file, we need to specify column names and casts. Two tips here: First, SQL is case insensitive, but column names should be used in a query with column name as specified in the Parquet file. The second tip: cast sometimes may be skipped. Here is a sample COPY command to upload data from S3 parquet file:
JSON Mapping. PostgreSQL has rich, built-in support for storing JSON columns and efficiently performing complex queries operations on them. Newcomers can read more about the PostgreSQL support on the JSON types page, and on the functions and operators page.
Feb 02, 2015 · JSON data is often semi-structured, not always following a fixed schema. In the future, we will expand Spark SQL’s JSON support to handle the case where each object in the dataset might have considerably different schema. For example, consider a dataset where JSON fields are used to hold key/value pairs representing HTTP headers.