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PGConf India 2020 - Practical JSON - Ivan Panchenko - Postgres Professional

Ivan Panchenko
Deputy CEO at Postgres Professional
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PGConf India, 2020
February 28, 2020, Bengaluru, India
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About speaker

Ivan Panchenko
Deputy CEO at Postgres Professional

Ivan is a well known member of Russian PostgreSQL community, the organizer of PgConf.Russia events. He is a PostgreSQL enthusiast, as well as a professional astrophysicist and software developer. Since starting developing PostgreSQL-based applications in 1998 Ivan got a significant experience in both PostgreSQL and enterprise requirements for databases. As a co-founder and Deputy CEO of Postgres Professional, Ivan is responsible for working with enterprise customers and defining the product strategy.

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About the talk

This talk describes some practical cases of JSON usage with the compendium of corresponding PostgreSQL JSON tools: SQL functions and operators, including the new ones introduced in PostgreSQL 12 according to SQL:2016 standard, JSQuery extension, aggregates, recursive CTE, special indexes for JSON search, JSON support in server-side procedural languages. The talk is illustrated by numerous examples.

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Still about myself, I'm an astronomer but astronomy data science. That's why I became a database person and that's why I'm here. So you can take a shin developer long ago, so I have some experience like that and it allows me to speak now about Jason, So this is a great traffic and of course, I can't skyways completely. So I will not make the temp to cover it completely. I just re-read some effects and some ideas and the end of the day I will give you a list of documentation talks and other things which can give you a complete coverage of Jason.

So I hope that this talk will be useful and interesting because it is based on some breakfast and that's why I sent it will enjoy it. So, election race problem, which we all had before was how to store some polymorphic data in the database. Tables are a uniform Israel has Same set of columns what is not very good for old cases. Sometimes we need to have data with different structure, throws in a single table. We with a big face such problem in 2003 where we had some

projects about reporting solutions to governments and is there a very many kinds of educational institutions have very many number to make some storage for all this data, which is not needed to be redesigned when the government officials unveiled? A new phone on so long. And that's why. Decided not to make a classical art Ovation Ovation of making, but to create some digit type which allows two stroke was amorphic data that in one database attributes. And it was created by aliens

in 2003 in it was caused a stir extension, which defines the type to store pears. who was inspired by Pro because at the time of us Will Ferrell This expansion Define, some simple operators. Question sign to check if such exists and check if one contains some other one. Associate to be used for search-and-rescue soon. We made into support for them. It was in 2006, maybe 2007, I don't remember exactly and it became a part of oscars. But unfortunately, a stove was too simple and many people had need for

data with some internal structure, which can be multi-level which can contain raising someone and they still was not enough of that. This was a time when Jason became more and more popular you to popularity of web development of popularity of JavaScript and so on. That was some. Of time when we didn't understand if we should develop or maybe Jason and they were making business, support enforcement office. Are there was several extensions or which allowed to steal? Jason, they will not accept.

Jason's data type, is it time? It was very, very simple, very simple. And it allowed only to store Grayson, and to verify its insects But Jason was bad, the time because you don't need to storage, you can serve as a text and drive myself was storing. It's a text for long time, before that the database to give you for stability of its directions from Jason. And inside Jason has a time, a straw provided by physicians. And so we searched for us that we should develop a store and make a multi-level age, do in 1930 and 1912 and 1913. We proposed this variant

to make Nest is a store. But people didn't once this new syntax and syntax, people want to Jason and so Jason was slow, and was bed, and that's why 2014 created, Jason be data type. Which is that's better. So, as for me is a letter b stands for better, because it's not, it's not binary, maybe every date is binary. Jason V is based in better. Several words, starting with v and different people interpreted in different ways, maybe it is faster or is Jason Segel. Is bison beef? People seems that is, why not it? But maybe

maybe not the next step was sickle Thunder. I did read this technical report of the standards, she was very inspired, and he understood that we must do this support for the standard inside Fort Bliss. It took several years. And finally first part of this work was completed in 2009 and involved with 12 and the second part is now committed to 13. So now we already have a significant part of this standard supported in progress. 12, I will speak about it. so,

This graph shows the importance of Jason buch store. Easter hunt gamefish. Popularity grows as Jason behead, a very important event in history and there is one more graph that shows it. This is Debbie engines cranking but will have it if not. We made it in person starting with the same point. I saw this at several databases is the only growing one acre land, Microsoft sequel? So you see the growth of beard connected to Jason be because it was the time of nosql

databases. So it was the time of quick rise of nosql databases and if you are exposed to graft depends.com, you will cease its mongodb just the same behavior. It started growing the same time and it was growing with the same speed. Platypus vs. Grown quicker than mongodb because it's time already gone from and this is supported by the fact that this was a database of the year of the deal for the time when no sequel databases Roar from relational databases to them. But was To compensate this.

Okay? So first practical, question is true, if you use Jason Jason bday today, Mostly people recommend. If you don't know what to use, use Jason be aware and advantages of both data types. So Jason is text if you want to preserve the keys order want to preserve spaces. I want to allow the duplicate Keys, then you Jason but it will be small and you will not be able to walk with extraction of the date of research because any operation with Jason means complete parsing of all the complete Jason, which may be very big.

So it may be toasted, that's why reading and passing it is. But it is inserted kawika. It is more compact. Which is unexpected full many years has, but Jason is more than Jason B. The letter b. Yeah, it is smart one. It doesn't say he's smaller than text, but this doesn't mean binary. It means better, and better means bigger. Okay so want one more possible meaning for be. Okay, so if you use just a multi-level structure is his keys and race. And of course, there is no key order in the objects but the main advantage is that it has ended support and

it allows fast search three patients in general. Jason is not a storage format. It was designed as a human readable format for multilevel data. This why is there is no good to hear white with some stories in this format. Lisenby is attempt to improve the situation, which was still wet when Jason was introduced in postgres. Take note to invent an internal storage format. This at the same time, First attempt was to store Jason Izzy's and of course it was not effective

invented the types for Jason. Maybe sometime, we will need to survey the type for example Jason see which will mean compressed and this will be completely crazy. Okay, so now. Practicing, I will show some examples which will help us to understand the things, how to create Jason screeching, three methods from its presentation by converting. Oh, but using some functions which construct Jason, you will can read this documentation on Poydras Pro website. Why

not only because it's because it has a good search engine. Have you heard Alex yesterday about search? So it's better. then pause before this org and greeting from database, which we will manipulate very strongly today with function road to Jason Jason. Be most of these functions have two variants with Jason and Jason be but not all of them. The Nexus. How to retrieve values from Jason. There are two major operators and double arrow Arrow Arrow. It's the same, but it's return. The

text. So, you'd rather simply we take Jason and exactly where is it? Also important to a traitor functions which make some set of rows from the dress and contains Jason each and so one example, if you want to query the contact content of Jason, you can convert it to set of rows and then operations on them. Search. Simple idea to search is just to compare the content of Jason and this is good price and you can make index support for the Separation by functional index. Will help you. It's not a specific Jason functional induction text expression.

Knows, this is just an expression just in general. Yes, you may. Of course you may make a multi-level expression G13 of course. What do you want to even if the keys deeply nested within the document? It still works? Well, yes of course, but this works, if you have some definite set a definite sequence of keys definite path. Because Beach recommended some definite expression. if you don't have such expression that I will show you examples for each possible key, he will have a separate V3

index if you want to search this key, Oh, so you can search with sequel, sequel approach. When you see, we going to go to Jason to a set of Rose by iteration function. Jason is text and then inside this search by we're closed. Of course, there is no index support for such case. It is very slow, but it is most flexible because you have just so sick of this rain is Lex Luger now, So suppose that there is some database of these companies which have offices. So, such a multi-level

square meters, and supposedly some company, for example, which has two offices in Bangalore, Okay, for the first time, we will create a table with a single raisin filled. It's a bit breakfast. I don't recommend this, of course. But for this first example, it will be okay. so just kind of adjacent search is search, which contains operator I told her about Saturday, so when we were talking about a store, we do just same from Easter and implemented it in Jason.

And Jason be nothing days. So you see that Jason contains some subbed reason. so, we are searching all the companies with offices in Bangalore, this search can be accelerated, if you create an index, like that, that Jim index on this raisin filled one regret With this context, very simple. For example, if you want to make some more complicated search, for example, search for companies, with offices in to see what you want, whatever you want at the same index will help you

may be so simple. It works. Okay, let us make such bull more complicated research, I let us search the main office. So we change the Jason. We're looking for just includes the name. Of course, this is also helped by the index. Play Mystikal style quite reasonable. But very, very slow. It is full tickle scan. Okay, and now we try to complicate search more. For example, we need to be gorgeous and at least 500 square meters. We can do this in simple, but we can do this.

In. In this style because there is no greater greater. We just find Jason which contains other Jason. So this is the time where this is the example, which our simple failed. Its can't help us because the area is too complicated, but of course, we can accelerate. If you do Bristol Press election results of the razor was part of the square. But you see, the problem is we started some but the possibilities of this way of search is very limited and customers. Once more, they want to search with index, not

limited with only simple queries. And that's why something is Samsung more. Flexible is necessary. So, of course, I'm work. Work was done. The work was done. After that. Sings this part which is already committed 13, what is Jason query? It is an extension with the finest are data. Type JS query, Which defines a language. Which can we use the formula Jason search queries? Then you search like that? There is index Support. Also, this expansion device to

forward as types of where is this? Because now we have more music, which is recent past is a standard seen. It is now implemented in different databases, including Oracle, Microsoft Sequel. And My sequel. But the implementation is the most complete of them. I believe that it was inspired by Alexander cross cause this query, because the language of Jason pass is very similar in ideas to the language of Jace Clary. What is the different Okay, so this bus in postgres is implemented by a special data type, just like she and Ray we change it to

Jason Foss. Flexible extendable data types. We can do anything with that. We can provide indexes for support for some operations with the data types and this is a good story which word for pointless. There is nothing similar in different databases. That's why Jason boss is implemented here with day today. Okay, so how does it work? For example, you want just to get some inside Jason. You see this is example, you take first And find in which city is it? So it will return Bangalore.

Find my example. Oh, and the bottom of the slide. This year. Most complicated query about the area about main office. So this is a box containing a query, you see? So we get the city of that office of this company, which has big, and which is cold mean, Also, can you use same language for search? For example, for this search query means that we find companies which have Otis who is Big with name at which has a different city. Search searches are supported by Jin indexes,

which should be created with special. Of course, this one be passed out. so next about Jason Bus already, left you to the Alex article which is Jake. And by the way, this implementation is not complete because some glasses which can accelerate search now exist, and if you compile it manually, you will get more. Okay, so what are the thing we can do? Is this, is it not only for storing date? We can use only for operations with data and Suppose you are addressing is easiest. You came from one with the view or something from the script. She learns that there is Jason V and

you can make a scheme of this database table so it's not recommended And the next day, they are Jason and Susie just understands that he needs some ID, some primary key. And he creates a functional index. By the way, it doesn't look didn't know why. Is a syntax error. Do you need? More parentheses. So. Yeah, this truck so much and still compare in Dixon text representation of his primary key or maybe integer because he generates is his interest. She falls. It's

sometimes integer is better and sometimes Texas. But By the way, first, he follows the next text is better because if she is a small number one, two, three. It is more than when it says text, but it is if it is big number, say 1 billion, it is smaller integer and that's why the size of the indexes in Texas. It is different. It depends on the number small or big. That's why a very important idea for all developers to test your software on small values of ID. So, the

example, Google starts with ideas with some videos, because they are really sticks. They released it later and yesterday, I will be bed. Okay. So is it good or bad? So, first we discussed during primary key in Jason? It is not recommended by first of all, if you even make such index in the US, but America should be unique and you need to make some special kind of strange for this check on Street, make a referential Integrity, constraints like this because they don't talk with Expressions on Lewis fields. And there are some cases

when database needs to know that something is a primary key. For example, when you need identity to replicate updates, And identity should be filled or filled with expression, General notes, it's not recommended. Why? First of all, it needs more space and it is slower. Even if the address is smaller is small and it is not toasted extraction of the data is two or three times lower than in conventional database fields. So is it is no statistics. It is very

difficult to make effective queries with joints inside Jason and so one, sometimes it's readable. So there is a good article by Dan Robinson, just about this question by choosing how to store data La as Jason or else feels. I recommend you to read it, okay? Sometimes recent can be used to save space. He's going to be used for safe space. If you merge, several records, may be off several tables into 1. Then it's going to be used to save space. For example, you can merge into one

records at some point in time, which I close. We just watched together you may emergence want to record some space. For example you can merge order and order the items. If Florida coffee application allows into one record So sometimes Jason not only race racing but only saves it. Okay. So if you decide if you're deciding to store field in place, first of August orientation is the data, which is polymorphic, so which which the difference in difference records is

better to save some kind of Kemah some metadata, and some tables and check the validity speaking about this yesterday. some days I have internal structure for example, it is at 3 or 4, I was a Methodist and someone in my storage also address and it may be effectively Also dressing is used is very useful for storing historical records, which structure my change and do you need to store the data in the phone? Which is what inserted some of them before. You

can create one table for the basic class and subclass field store in Jason. Jason B. But I recommend you use such kind of storage store, somewhere store, the history of changing, the metadata and the check Integrity by in any way. An example of filled with internal structure. For example, may be imaged 874 image. You store size of the one. You can just throw it together in one fuse, not spread is in different fields. Yes, it is convenient. If you need to store some

later like 3 or 3, maybe a greater plan, Look like zit. This is example, you can't obtain credit plan in pure sequel. So you need to write some function like that. Hattiesburg to stop run this Basin be, okay. Next Jason aggregates. for example, you need to get some records like name of the book and list of the officers and you have some structure books persons which are the authors of the books and Bowser ship which connects them How to do this, you might do this with Jason aggregation. For example, you

need the names and so on. So you need to collect metadata from the others structured data. How old is Jason aggregate? Come help you. It is not like that. So you make a query from books and he makes up select which Aggregates all the data you need. A variant is it is often done in when you have some attributes of a references to other tables and you have joined you may do this with Jason and he will have it this as sub records. Okay, listen Aggregates may be very hard, very strong. I don't want to show you the details. Just

keep the flies about you will, you will have the ability to explore them later, for example. You love me. You make some here. I kill data in aggregation. Started this offline. What's the problem? If the if you like the dress navigation to match then you made you come in contact with ecology. Because Jason is CPU. Consuming, of course. So don't collect all the feels. Don't select office. Shrek starter is bad. And of course, it is requested for you. It's makes up to my sassy,

can someone And maybe later, people will come and verify your code if it's not ecologically. Good Okay, next, you can use Jason just emerged results of several queries into one. You can do this dust by or you can make two different picture. You can join us in one and returning for example, to your revocation, if it doesn't want to make many queries. Okay, another problem is that it is this presentation is making at 3. It is just an interesting problem for

programmers, try try to do this. If you like I also skip this because it is long and complicated. Are the problem is if your favorite colors of ID name and how to convert it to a 3, you can do this with regards if she was window functions and Jason aggregation history companies. provide you some very complicated solution for Simple task button in SQL. Sometimes the simple things become complicated. So it looks like or I give it to any of this negative case he's making in the aggregate with internal structure. For example, of histograms, you can

make you can Define aggregate functions, which calculate for example, of histograms or several statistics, one time. And so on, this is an example of function, which makes it is written in SQL. It does not very readable message Works can try So you can educate frequencies of some. There is, for example. Next. And last item in my presentation is Jason in procedural languages. It's very it is also a big topic and I only touch it. So problem is Sickle code like that maybe not readable and it is not affecting because you need it. When you make some

operational, Jason and support. You always coffee the Jason complete Jason Which is a coleslaw and so sometimes you need other languages. For example, feel the eighth, which is Javascript Hillsboro is not including in, and it has a big version of God and if he says a different future. So I can recommend it but that's only now I don't know what will happen next year, but field Pearl is good for the price and also, so if you write same aggregate function in. It will be much easier to read and it is 4 times faster than S equal.

Infield, girl, you can rice, same. It is a little less less reasonable than. But it is two and a half times faster than sequel version. So if you are processing, Jason thinking about alternative procedural, languages is important, okay. First Mac. What about nails? A popular Jason be set function is a strict one, which means it's now if any of the arguments if now. So if you try to insert now somewhere inside your Jason, you will notify all the Jason. So be careful with that. You can lose your date.

So future is Big future is interesting. First of all, we need to make Jason better, we can make it smaller with compression. We can update my storage for that, it's not easy. But people work on that we can make some phone for procedural languages, lazy. It means they will work with Jason Foster. And of course we can improve the search engine inside Jason fast, and people are working with it. So I recommend you so you can see Questions. If you have time.

How do you update doosan? Feels so, I think we talked a lot about selection and operators like what's the best way of updating this on? If I want to date a field, add lead, and if you can provide more insight from an application perspective. So you mean updating the date on which allows you to update as a key or Jason but it takes Revenge Jason and it runs the new days. I got. Okay. So there is no way to a single operation, to just update a video to read it first and then updated. Despos, let's take this.

All right. Thank you for the job.

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