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269 lines
17 KiB
ReStructuredText
269 lines
17 KiB
ReStructuredText
===============
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Ceph s3 select
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===============
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.. contents::
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Overview
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--------
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| The purpose of the **s3 select** engine is to create an efficient pipe between user client and storage nodes (the engine should be close as possible to storage).
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| It enables selection of a restricted subset of (structured) data stored in an S3 object using an SQL-like syntax.
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| It also enables for higher level analytic-applications (such as SPARK-SQL) , using that feature to improve their latency and throughput.
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| For example, a s3-object of several GB (CSV file), a user needs to extract a single column which filtered by another column.
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| As the following query:
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| ``select customer-id from s3Object where age>30 and age<65;``
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| Currently the whole s3-object must retrieve from OSD via RGW before filtering and extracting data.
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| By "pushing down" the query into OSD , it's possible to save a lot of network and CPU(serialization / deserialization).
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| **The bigger the object, and the more accurate the query, the better the performance**.
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Basic workflow
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--------------
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| S3-select query is sent to RGW via `AWS-CLI <https://docs.aws.amazon.com/cli/latest/reference/s3api/select-object-content.html>`_
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| It passes the authentication and permission process as an incoming message (POST).
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| **RGWSelectObj_ObjStore_S3::send_response_data** is the “entry point”, it handles each fetched chunk according to input object-key.
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| **send_response_data** is first handling the input query, it extracts the query and other CLI parameters.
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| Per each new fetched chunk (~4m), RGW executes s3-select query on it.
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| The current implementation supports CSV objects and since chunks are randomly “cutting” the CSV rows in the middle, those broken-lines (first or last per chunk) are skipped while processing the query.
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| Those “broken” lines are stored and later merged with the next broken-line (belong to the next chunk), and finally processed.
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| Per each processed chunk an output message is formatted according to `AWS specification <https://docs.aws.amazon.com/AmazonS3/latest/API/archive-RESTObjectSELECTContent.html#archive-RESTObjectSELECTContent-responses>`_ and sent back to the client.
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| RGW supports the following response: ``{:event-type,records} {:content-type,application/octet-stream} {:message-type,event}``.
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| For aggregation queries the last chunk should be identified as the end of input, following that the s3-select-engine initiates end-of-process and produces an aggregate result.
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Basic functionalities
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~~~~~~~~~~~~~~~~~~~~~
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| **S3select** has a definite set of functionalities that should be implemented (if we wish to stay compliant with AWS), currently only a portion of it is implemented.
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| The implemented software architecture supports basic arithmetic expressions, logical and compare expressions, including nested function calls and casting operators, that alone enables the user reasonable flexibility.
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| review the below feature-table_.
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Error Handling
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~~~~~~~~~~~~~~
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| Any error occurs while the input query processing, i.e. parsing phase or execution phase, is returned to client as response error message.
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| Fatal severity (attached to the exception) will end query execution immediately, other error severity are counted, upon reaching 100, it ends query execution with an error message.
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Features Support
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----------------
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.. _feature-table:
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| Currently only part of `AWS select command <https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-select.html>`_ is implemented, table bellow describes what is currently supported.
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| The following table describes the current implementation for s3-select functionalities:
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Feature | Detailed | Example |
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+=================================+=================+=======================================================================+
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| Arithmetic operators | ^ * / + - ( ) | select (int(_1)+int(_2))*int(_9) from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| | | select ((1+2)*3.14) ^ 2 from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Compare operators | > < >= <= == != | select _1,_2 from stdin where (int(1)+int(_3))>int(_5); |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| logical operator | AND OR | select count(*) from stdin where int(1)>123 and int(_5)<200; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| casting operator | int(expression) | select int(_1),int( 1.2 + 3.4) from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| |float(expression)| select float(1.2) from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| | timestamp(...) | select timestamp("1999:10:10-12:23:44") from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Aggregation Function | sum | select sum(int(_1)) from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Aggregation Function | min | select min( int(_1) * int(_5) ) from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Aggregation Function | max | select max(float(_1)),min(int(_5)) from stdin; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Aggregation Function | count | select count(*) from stdin where (int(1)+int(_3))>int(_5); |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Timestamp Functions | extract | select count(*) from stdin where |
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| | | extract("year",timestamp(_2)) > 1950 |
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| | | and extract("year",timestamp(_1)) < 1960; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Timestamp Functions | dateadd | select count(0) from stdin where |
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| | | datediff("year",timestamp(_1),dateadd("day",366,timestamp(_1))) == 1; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Timestamp Functions | datediff | select count(0) from stdin where |
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| | | datediff("month",timestamp(_1),timestamp(_2))) == 2; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Timestamp Functions | utcnow | select count(0) from stdin where |
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| | | datediff("hours",utcnow(),dateadd("day",1,utcnow())) == 24 ; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| String Functions | substr | select count(0) from stdin where |
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| | | int(substr(_1,1,4))>1950 and int(substr(_1,1,4))<1960; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| alias support | | select int(_1) as a1, int(_2) as a2 , (a1+a2) as a3 |
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| | | from stdin where a3>100 and a3<300; |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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s3-select function interfaces
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-----------------------------
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Timestamp functions
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~~~~~~~~~~~~~~~~~~~
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| The `timestamp functionalities <https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-date.html>`_ is partially implemented.
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| the casting operator( ``timestamp( string )`` ), converts string to timestamp basic type.
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| Currently it can convert the following pattern ``yyyy:mm:dd hh:mi:dd``
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| ``extract( date-part , timestamp)`` : function return integer according to date-part extract from input timestamp.
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| supported date-part : year,month,week,day.
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| ``dateadd(date-part , integer,timestamp)`` : function return timestamp, a calculation results of input timestamp and date-part.
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| supported data-part : year,month,day.
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| ``datediff(date-part,timestamp,timestamp)`` : function return an integer, a calculated result for difference between 2 timestamps according to date-part.
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| supported date-part : year,month,day,hours.
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| ``utcnow()`` : return timestamp of current time.
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Aggregation functions
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~~~~~~~~~~~~~~~~~~~~~
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| ``count()`` : return integer according to number of rows matching condition(if such exist).
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| ``sum(expression)`` : return a summary of expression per all rows matching condition(if such exist).
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| ``max(expression)`` : return the maximal result for all expressions matching condition(if such exist).
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| ``min(expression)`` : return the minimal result for all expressions matching condition(if such exist).
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String functions
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~~~~~~~~~~~~~~~~
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| ``substr(string,from,to)`` : return a string extract from input string according to from,to inputs.
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Alias
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~~~~~
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| **Alias** programming-construct is an essential part of s3-select language, it enables much better programming especially with objects containing many columns or in the case of complex queries.
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| Upon parsing the statement containing alias construct, it replaces alias with reference to correct projection column, on query execution time the reference is evaluated as any other expression.
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| There is a risk that self(or cyclic) reference may occur causing stack-overflow(endless-loop), for that concern upon evaluating an alias, it is validated for cyclic reference.
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| Alias also maintains result-cache, meaning upon using the same alias more than once, it’s not evaluating the same expression again(it will return the same result),instead it uses the result from cache.
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| Of Course, per each new row the cache is invalidated.
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Sending Query to RGW
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--------------------
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| Any http-client can send s3-select request to RGW, it must be compliant with `AWS Request syntax <https://docs.aws.amazon.com/AmazonS3/latest/API/API_SelectObjectContent.html#API_SelectObjectContent_RequestSyntax>`_.
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| Sending s3-select request to RGW using AWS cli, should follow `AWS command reference <https://docs.aws.amazon.com/cli/latest/reference/s3api/select-object-content.html>`_.
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| bellow is an example for it.
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::
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aws --endpoint-url http://localhost:8000 s3api select-object-content
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--bucket {BUCKET-NAME}
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--expression-type 'SQL'
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--input-serialization
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'{"CSV": {"FieldDelimiter": "," , "QuoteCharacter": "\"" , "RecordDelimiter" : "\n" , "QuoteEscapeCharacter" : "\\" , "FileHeaderInfo": "USE" }, "CompressionType": "NONE"}'
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--output-serialization '{"CSV": {}}'
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--key {OBJECT-NAME}
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--expression "select count(0) from stdin where int(_1)<10;" output.csv
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Syntax
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~~~~~~
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| **Input serialization** (Implemented), it let the user define the CSV definitions; the default values are {\\n} for row-delimiter {,} for field delimiter, {"} for quote, {\\} for escape characters.
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| it handle the **csv-header-info**, the first row in input object containing the schema.
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| **Output serialization** is currently not implemented, the same for **compression-type**.
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| s3-select engine contain a CSV parser, which parse s3-objects as follows.
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| - each row ends with row-delimiter.
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| - field-separator separates between adjacent columns, successive field separator define NULL column.
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| - quote-character overrides field separator, meaning , field separator become as any character between quotes.
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| - escape character disables any special characters, except for row delimiter.
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| Below are examples for CSV parsing rules.
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CSV parsing behavior
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--------------------
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Feature | Description | input ==> tokens |
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+=================================+=================+=======================================================================+
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| NULL | successive | ,,1,,2, ==> {null}{null}{1}{null}{2}{null} |
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| | field delimiter | |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| QUOTE | quote character | 11,22,"a,b,c,d",last ==> {11}{22}{"a,b,c,d"}{last} |
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| | overrides | |
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| | field delimiter | |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| Escape | escape char | 11,22,str=\\"abcd\\"\\,str2=\\"123\\",last |
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| | overrides | ==> {11}{22}{str="abcd",str2="123"}{last} |
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| | meta-character. | |
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| | escape removed | |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| row delimiter | no close quote, | 11,22,a="str,44,55,66 |
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| | row delimiter is| ==> {11}{22}{a="str,44,55,66} |
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| | closing line | |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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| csv header info | FileHeaderInfo | "**USE**" value means each token on first line is column-name, |
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| | tag | "**IGNORE**" value means to skip the first line |
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+---------------------------------+-----------------+-----------------------------------------------------------------------+
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BOTO3
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-----
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| using BOTO3 is "natural" and easy due to AWS-cli support.
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::
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def run_s3select(bucket,key,query,column_delim=",",row_delim="\n",quot_char='"',esc_char='\\',csv_header_info="NONE"):
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s3 = boto3.client('s3',
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endpoint_url=endpoint,
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aws_access_key_id=access_key,
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region_name=region_name,
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aws_secret_access_key=secret_key)
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r = s3.select_object_content(
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Bucket=bucket,
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Key=key,
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ExpressionType='SQL',
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InputSerialization = {"CSV": {"RecordDelimiter" : row_delim, "FieldDelimiter" : column_delim,"QuoteEscapeCharacter": esc_char, "QuoteCharacter": quot_char, "FileHeaderInfo": csv_header_info}, "CompressionType": "NONE"},
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OutputSerialization = {"CSV": {}},
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Expression=query,)
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result = ""
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for event in r['Payload']:
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if 'Records' in event:
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records = event['Records']['Payload'].decode('utf-8')
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result += records
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return result
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run_s3select(
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"my_bucket",
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"my_csv_object",
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"select int(_1) as a1, int(_2) as a2 , (a1+a2) as a3 from stdin where a3>100 and a3<300;")
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