ClustrixDB有一个流模型,它从容器(表和索引)开始并通过操作符图对行进行流处理。ClustrixDB有一组丰富的操作符,随着更多功能和优化的添加,这些操作符偶尔会增加。我们使用一个地方来记录操作符,逻辑的和物理的。物理操作符出现在解释输出中,而逻辑操作符没有,所以这是您将看到的操作符的超集。

这些是在MySQL提示符的explain输出中常见的操作符。

 
 
 
Example
Operator
Arguments
Details
Example
display (REFS [output_cast]) INPUT_ROW

Display output to user.

output_cast: Optional argument, if present display should promoter values for mysql protocol
REFS : schema references to output
INPUT_ROW : rows

 
stream_combine () INPUT_ROW

Take an input that generates separate streams (such as an index_scan
that must distribute) and combine it into a single stream. This means
that operators below the stream_combine will run in parallel.

INPUT_ROW := bulk operator for separate input paths

 
stream_merge () INPUT_ROW

Similar to stream_combine, take an input that generates separate
streams and combine it into a single stream, but this operator
preserves the ordering of the input when combining. The sort keys are
picked up from the opt_ctx.

INPUT_ROW := bulk operator for separate input paths

 
index_scan (NAMESPACE RELOID REPOID COLS . PROPS) EQUAL LOW HIGH NULLF?

Scan the representation. Namespaces are unique per relation.

NAMESPACE := vs32
RELOID := object ID of relation
REPOID := object ID of index
COLS := list of columns needed
PROPS := list of 0 or more of: read_reverse, read_all, read_latest
EQUAL := range denoting values to constrain in both low and high
(range equal ...)
LOW := additional low constraint. (range open/closed ...)
HIGH := high constraint; similar to LOW
NULLF := NULL filters see ap_select.ct

 
table_scan (NAMESPACE OID COLS . PROPS) . EXPR NAMESPACE := vs32 that represents which namespace
OID := object ID of table
COLS := list of columns needed
PROPS := list of 0 more of: update, use_index, force_index
EXPR := list of constraints to apply to the output
 
filter () INPUT_ROW EXPR...

Apply filter to input.

EXPR := item operator; null, 0, and false are filtered out
INPUT_ROW := bulk operator providing rows

 
row_limit CALC_FOUND_ROWS INPUT_ROW LVAL OVAL

Limit the number of rows produced. This operator can stop previous input operators from producing rows once it has enough rows.

CALC_FOUND_ROWS := boolean
INPUT_ROW := bulk operator providing rows
LVAL := item operator for limit expression
OVAL := optional item operator for offset expression

 
row_count NAME INPUT_ROW Counts the number of rows produced. Assigns to NAME.  
user_const VALUE User provided constant. VALUE := constant.  
const VALUE VALUE := constant.  
ref (NAMESPACE . NAME) NAMESPACE := vs32 of the namespace
NAME := string of the column name
 
param (VALUE) VALUE := u32 denoting which prepared parameter it is  
range MODE EXPR... MODE := closed, open, equal
EXPR := expression for each column in the range
 
force_prop PROP INPUT_ROW Physical operator that forces a property on its input.
PROP is one of the following
(sort KEYS) := force sort over list of KEYS
(limit LIMVAL OFFVAL) := force limit
 
func OP EXPRS...

Function

OP := symbol of the operator
EXPRS := 1 or more item operators

 
mtable_scan (NAMESPACE SET? NELEMS . TYPES) MTABLE

Scan a memory table as if it were a real table.

NAMESPACE := valuespace where the columns appear
SET? := whether this is an ordered set, or just a bag of blobs
NELEMS := The number of elements in the mtable
TYPES := oidvs for types of the columns
MTABLE := item operator that provides the mtable blob

 
mtable_build (COLS) . EXPRS

Build a memory table. IN sets are sometimes converted to memory tables.

COLS := list of column names to use (in the 0 namespace)
EXPRS := list of (tuple () (param...) (param...) ...)
Denotes psuedo-mtable that should be built from previous constants.

 
mtable_find (NAMESPACE . TYPES) INPUT MTABLE EQUAL

Find a value in Memory table.

NAMESPACE := valuespace where the columns appear
TYPES := oidvs for types of the columns
INPUT := bulk input
MTABLE := item operator that provides the mtable blob
EQUAL := range denoting values to constrain in both low and high
(range equal ...)

 
table_lock (RELOID LOCK) EXPR

Grabs one or more table locks for the duration of the subexpression.

RELOID := oid of table to lock
LOCK := Lock symbol
EXPR := row generator that is passed through

 
table_locks NUMLOCKS EXPR

Placeholder for properly costing table locks.

NUMLOCKS := vs32 of the number of table locks to grab
EXPR := row generator

 
pk_lock (NAMESPACE OID COLS LOCK) INPUT . PKREFS

Used to take fine grained locks

NAMESPACE := vs32
OID := object ID of table
COLS := columns to bind
LOCK := Row lock symbol
INPUT := bulk operator
PKREFS := list of refs indicating primary key values to lock

 
pk_lookup (NAMESPACE RELOID REPOID COLS . PROPS) INPUT PKSARGE

Used to lookup which fine grained lock to take.

NAMESPACE := vs32
RELOID := object ID of relation
REPOID := object ID of index
COLS := columns to bind/rebind
INPUT := bulk operator
PKSARGE := range denoting exact sarge on baserep

 
table_write (OID REFS . PROPS) INPUT_ROW OID := object ID of table
REFS := schema references containing values to use for each column
PROPS := list of 0 or more of: ignore, replace, impdflt,
serialize, multirow, lock_dst_x, lock_dst_s
INPUT_ROW := bulk operator that produces rows
columns are taken from input row schema
 
table_delete (OID REFS) INPUT_ROW OID := object ID of table
REFS := schema references containing values to use for each column
INPUT_ROW := bulk operator that produces rows
columns are taken from input row schema
 
table_update (OID OLD_REFS NEW_REFS . PROPS) INPUT_ROW OID := object ID of table
OLD_REFS := schema references representing old column values
NEW_REFS := schema references representing column values
PROPS := list of 0 or more of: ignore, serialize
INPUT_ROW := bulk operator that produces rows with old/new column values

聚合操作符执行GROUP BY和DISTINCT操作。

Operator
Arguments
Details
Example
aggregate

(KEY AGG_EXPR ONEOF) INPUT_ROW

Logical operator, implemented as one of the physical aggregates -
hash_aggregate (KEY AGG_EXPR ONEOF) INPUT_ROW use a sigma, produces unsorted output  
sigma_aggregate (KEY AGG_EXPR ONEOF) INPUT_ROW use a sigma, produces output sorted on KEY  
stream_aggregate (KEY AGG_EXPR ONEOF) INPUT_ROW non-blocking, maintains incoming sort order (if any)  
dist_stream_aggregate (KEY AGG_EXPR ONEOF) INPUT_ROW stream_aggregate that occurs on multiple nodes (partitioned input)  
hash_aggregate_partial (KEY AGG_EXPR ONEOF) INPUT_ROW hash_aggregate that occurs on multiple nodes  
hash_aggregate_combine (KEY AGG_EXPR ONEOF) INPUT_ROW hash_aggregate that consumes results from _partial  
distinct _KEYS INPUT_ROW Logical distinct operator, implemented as one of physical distinct operators.  
sigma_distinct _KEYS INPUT_ROW produces output having only one row per distinct set of values for _KEYS.  
sigma_distinct_combine _KEYS INPUT_ROW does a sigma distinct on results from sigma_distinct_partial.  
sigma_distinct_partial _KEYS INPUT_ROW sigma_distinct that occurs on multiple nodes  
sort (KEY) INPUT_ROW

Logical sort operator. Force an ordering on the input.

KEY := list of (STYPE REF)
if STYPE := sort type (ASC, DSC, IFNULL)
REF := schema reference
else STYPE:= sort type GROUP
REF := list of schema references

 
sigma_sort () INPUT_ROW [LIMIT] Force an ordering on the input using a sigma. Context has sort keys so don't show up in input always.
Notation
Explanation
schema reference

(NAMESPACE . NAME)

NAMESPACE: vs32 that represents which namespace (AUTOGEN = 0)

NAME:string of the column name

KEY List of schema references to use as keys we are grouping by
_KEYS keys to distinct by
AGG_EXPR List of (NAME FUNC DISTINCT REF)
NAME For aggregates, this means new schema name for this value in the AUTOGEN (= 0) namespace
FUNC Aggregate function as a symbol (sum, max, min, count)
DISTINCT Does this aggregate function operate on distinct input?
REF Schema reference
ONEOF List of schema references to pass for aggregate oneof
INPUT_ROW Bulk operator providing rows
LIMIT (optional) item operator representing max # rows
Operator
Format
Details
Example
inner_join STRAIGHT? INPUT1 INPUT2 . _EXPR

Logical operator, implemented as a physical joins

-
nljoin ONE_TO_ONE INPUT1 INPUT2 Nested-loop join. Each row of INPUT1 is read and forwarded to correct next place for INPUT2  
nljoin_par ONE_TO_ONE INPUT1 INPUT2 Same as nljoin, differs in certain parallelization properties, primarily exists to make mechanics of optimizer work.  
left_join STRAIGHT? INPUT1 INPUT2 . _EXPR

STRAIGHT is always true, so INPUT1 is read before input 2. Also if there is no matching row in INPUT2, NULL value is substituted.

 
left_semi_join (PROBEREF) INPUT1 INPUT2 . _EXPR Perform a left semi-join between INPUT1 and INPUT2, returning any rows from the left side for which the right side returns 1 or more  
item_join JTYPE INPUT_ROW IT_EXPR item_join is a placeholder for subquery expressions where item operators contain bulk operators. IT_EXPR is item operator.  
msjoin ONE_TO_ONE INPUT1 INPUT2 Merge sort nested-loop join. This is similar to nljoin, but is able to preserve sort order.  
outer () INPUT1 Right half of a left outer join.  
outer_fwd () INPUT1 [INPUT2]

Right half of a left outer join.

This form of outer performs the outer calculation on a single node, which makes it much more efficient, but can only be applied in some cases.

The optional INPUT2 bulk operator does not affect cardinality.

 
dual () Generate a single row.  
Notation
Explanation
STRAIGHT force reading the left relation before the right
INPUT1 bulk operator for the left side
INPUT2 bulk operator for the right side
EXPR 0 or more item operators representing join constraints
PROBEREF optional ref indicating whether the semi-join succeeded
ONE_TO_ONE whether INPUT2 only has a cardinality of 1 or not
JTYPE  is oneof
(inner) - attach via inner_join
(semi PROBEREF) - attach via left_semi_join

这些是剩下的操作符,有些是逻辑操作符,有些是物理操作符。

Operator
Format
Details
Example
genoid NAME INPUT_ROW

Create a unique id.

NAME := name to assign a new oid
INPUT_ROW := bulk operator, one oid is generated for each row

 
lock_choice NUMLOCKS INPUT

Enforces either all row locks or all table locks for all reads in
INPUT.

NUMLOCKS := vs32 of the number of locks to grab
INPUT := bulk operator for the rows to lock

 
any () BULK_EXPR EXPR BULK_EXPR := rows to look through
EXPR := test to apply for matches
 

check_scalar

check_scalar_expr

() INPUT_ROW

REF INPUT_ROW

Errors out if input contains more than 1 row.

INPUT_ROW := bulk operator providing rows
REF := reference to return

 
compute (NAMES TYPE) INPUT_ROW EXPR0 ... NAMES := a list of new schema names for these values (in the AUTOGEN
namespace)
TYPE := normal, fake, serialized
INPUT_ROW := bulk operator for rows
EXPRn := item operators for the expressions named in NAMES. Expressions
(and names) are ordered from least dependant to most, so
expressions later in the list can reference names defined
earlier, but not vice-versa.
 
error (RESULT_CODE STRING ARG1...) INPUT_ROW    
exists () BULK_EXPR BULK_EXPR := rows to look through  
ferel_row (NS FEREL TYPE) NS := namespace
FEREL := ferel (for column description)
TYPE := node type to create (t_input, etc)
 
multi_distinct ((NS1 NUMKEY . COLSET1) ...) INPUT NS1 := namespace for first sigma
NUMKEY := colindex for # of keys to distinct on
COLSET1 := list of refs for first sigma
...
INPUT := bulk operator for row generator
 
parallel_apply () SOURCE . INPUT SOURCE := bulk operator to apply INPUTs against
INPUT := 1 or more bulk operators that take SOURCE as input
 
read_sigma (NS . COLS) NS := namespace for sigmal
COLS := list of column names
 
tree_filter () INPUT_ROW EXPR... A special type of filter that pre-evaluates its expression(s), and
then only executes the input if the expression(s) evaluates to true.
This op thus requires that its expressions have no dependencies on
the input.
EXPR := item operator; null, 0, and false are filtered out
INPUT_ROW := bulk operator providing rows
 
tuple () COL1... COL1... := item operator expression for each column
Used to represent multicolumn comparisons (in, =, etc)
 
union_all (REFS1 REFS2 REFSOUT) INPUT_ROW1 INPUT_ROW2 REFS1 := schema references used from INPUT_ROW1
REFS2 := schema references used from INPUT_ROW2
REFSOUT := schema references representing UNION display columns
INPUT_ROW1 := bulk operator providing rows
INPUT_ROW2 := bulk operator providing rows
 
var_assign (SCOPE NAME) VALUE SCOPE := global/session/user
NAME := variable name
VALUE := value to assign variable to
 
var_read (SCOPE NAME TYPE) SCOPE := global/session/user
NAME := variable name
TYPE := oidtype of variable (only for user)

20. ClustrixDB explain参数解读的更多相关文章

  1. Explain 结果解读与实践

    Explain 结果解读与实践 基于 MySQL 5.0.67 ,存储引擎 MyISAM . 注:单独一行的"%%"及"`"表示分隔内容,就象分开“第一章”“第 ...

  2. MySQL Explain 结果解读与实践

    Explain 结果解读与实践   基于 MySQL 5.0.67 ,存储引擎 MyISAM .   注:单独一行的"%%"及"`"表示分隔内容,就象分开&qu ...

  3. Explain结果解读与实践

    MySQL的EXPLAIN命令用于SQL语句的查询执行计划(QEP).这条命令的输出结果能够让我们了解MySQL 优化器是如何执行SQL 语句的.这条命令并没有提供任何调整建议,但它能够提供重要的信息 ...

  4. explain之二:Explain 结果解读与实践,分析诊断工具之二

    MySQL的EXPLAIN命令用于SQL语句的查询执行计划(QEP).这条命令的输出结果能够让我们了解MySQL 优化器是如何执行SQL 语句的.这条命令并没有提供任何调整建议,但它能够提供重要的信息 ...

  5. main(int argc, char **argv)参数解读

    main(int argc, char **argv)参数解读 编译生成了test.exe ,然后在控制台下相应的目录下输入:test  1  2  3 4 argc就是一个输入了多少个参数,包括te ...

  6. Explain 参数详解,重点部分已经全部完成,还有少数几个参数没不理解没标注。

    Explain 参数详解,重点部分已经全部完成,还有少数几个参数没不理解没标注.http://naotu.baidu.com/file/cdb631355392e317e1d925dc2e48f592 ...

  7. 一元回归_ols参数解读(推荐AAA)

    sklearn实战-乳腺癌细胞数据挖掘(博客主亲自录制视频教程) https://study.163.com/course/introduction.htm?courseId=1005269003&a ...

  8. Java8 JVM参数解读

    附录:https://www.liangzl.com/get-article-detail-134315.html 摘要: 我们知道java虚拟机启动时会带有很多的启动参数,Java命令本身就是一个多 ...

  9. mysql explain参数解析

    建表语句 -- ---------------------------- -- Records of departments -- ---------------------------- INSER ...

随机推荐

  1. Source 介绍

    !!!1.Avro Source 监听AVRO端口来接受来自外部AVRO客户端的事件流. 利用Avro Source可以实现多级流动.扇出流.扇入流等效果. 另外也可以接受通过flume提供的Avro ...

  2. Elasticsearch-数组和多字段

    ES-数组和多字段 当需要在同一个字段中需要拥有多个值时,就会用到数组. 数组 如果要索引拥有多个值的字段,将这些值放入方括号中即可.在music索引下的album类型中,添加songs字段,存储专辑 ...

  3. 西安邀请赛-E(树链剖分+线段树)

    题目链接:https://nanti.jisuanke.com/t/39272 题意:给一棵树,n个结点,树根为1,n-1条边,每个结点有一个权值.进行3种操作: 1 s t:把1和s之间的最短路径上 ...

  4. git clone 报错 fatal: protocol '–https' is not supported 解决办法

    版本:git 2.22.0 系统:win7旗舰版 先把https去掉 再把https加上 神奇的事情出现了,这样就可以了. 很多人都说这样解决了,原因不知道. Administrator@BWE8QX ...

  5. sql server查询数据库连接数

    设置最大连接数 下面的T-SQL 语句可以配置SQL Server 允许的并发用户连接的最大数目. exec sp_configure 'show advanced options', 1exec s ...

  6. mysql 错误号码1129

    SQLyog连接mysql 错误号码1129: mysql error 1129: Host 'bio.chip.org' is blocked because of many connection ...

  7. Go语言中的数组(九)

    我刚接触go语言的数组时,有点不习惯,因为相对于JavaScript这样的动态语言里的数组,go语言的数组写起来有点不爽. 定义数组 go语言定义数组的格式如下: ]int var 数组名 [数组长度 ...

  8. python-socketserver实例

    import socketserver class MyTCPHandler(socketserver.BaseRequestHandler): def handle(self): while Tru ...

  9. mybatis插入出现org.apache.ibatis.executor.ExecutorException: No setter found for the keyProperty 'xxx'异常的原因

    确定有setter方法,问题其实是xml文件中,insert的主键的列名写错了,如下,一开始写成ComId <insert id="insertCom" parameterT ...

  10. 详解Wox

    Wox 是一款国产开源免费的软件快捷启动工具,它可以快速搜索并打开你电脑上的程序.文件.或是查词翻译.网站查找等其他操作,同时还支持插件安装. Tips: 如果你需要用到文件的快速搜索.打开功能,需要 ...