EXPLAIN (Transact-SQL)
S'applique à :
Azure Synapse Analytics (pool SQL dédié uniquement)
Retourne le plan de requête pour une instruction SQL Azure Synapse Analytics sans exécuter l’instruction. Utilisez EXPLAIN pour afficher un aperçu des opérations qui nécessitent un déplacement de données et afficher les coûts estimés des opérations de requête. WITH RECOMMENDATIONS S’applique à Azure Synapse Analytics.
Syntaxe
EXPLAIN [WITH_RECOMMENDATIONS] SQL_statement
[;]
Notes
Cette syntaxe n’est pas prise en charge par le pool SQL serverless dans Azure Synapse Analytics.
Arguments
SQL_statement
Instruction SQL sur laquelle EXPLAIN s’exécutera. SQL_statement peut être l’une de ces commandes : SELECT, INSERT, UPDATE, DELETE, CREATE TABLE AS SELECT, CREATE REMOTE TABLE.
WITH_RECOMMENDATIONS
Retourner le plan de requête avec des suggestions pour optimiser les performances d’instruction SQL.
Autorisations
Nécessite l’autorisation SHOWPLAN et l’autorisation d’exécuter SQL_statement. Consultez Autorisations : GRANT, DENY, REVOKE (Azure Synapse Analytics, Parallel Data Warehouse).
Valeur de retour
La valeur de retour de la commande EXPLAIN est un document XML. Ce document XML répertorie toutes les opérations dans le plan de requête pour la requête en question. Chacune opération est délimitée par la balise <dsql_operation>. La valeur de retour est de type nvarchar(max) .
Le plan de requête retourné décrit les instructions SQL séquentielles. L’exécution de la requête peut impliquer des opérations en parallèle, obligeant certaines instructions séquentielles indiquées à s’exécuter simultanément.
La structure de la valeur de retour XML ressemble à ceci :
\<?xml version="1.0" encoding="utf-8"?>
<dsql_query>
<sql>. . .</sql>
<params />
<dsql_operations>
<dsql_operation>
. . .
</dsql_operation>
[ . . . n ]
<dsql_operations>
</dsql_query>
Les balises XML contiennent les informations suivantes :
| Balise XML | Récapitulatif, attributs et contenu |
|---|---|
| <dsql_query> | Élément de niveau supérieur ou de document. |
| <sql> | Répercute SQL_statement. |
| <params> | Cette balise n’est pas utilisée pour l’instant. |
| <materialized_view_candidates> (préversion) | Contient l’instruction CREATE de l’affichage matérialisé recommandé pour améliorer les performances de l’instruction SQL. |
| <dsql_operations> | Récapitule et contient les étapes de la requête, et inclut des informations sur le coût de la requête. Contient également tous les blocs <dsql_operation>. Cette balise contient des informations d’inventaire pour l’intégralité de la requête :<dsql_operations total_cost=total_cost total_number_operations=total_number_operations>total_cost est la durée totale estimée de l’exécution de la requête, en millisecondes. total_number_operations est le nombre total d’opérations de la requête. Une opération qui va être exécutée en parallèle sur plusieurs nœuds est comptée comme une seule opération. |
| <dsql_operation> | Décrit une opération unique dans le plan de requête. La balise <dsql_operation> spécifie le type d’opération comme attribut :<dsql_operation operation_type=operation_type>operation_type est l’une des valeurs trouvées dans sys.dm_pdw_request_steps (Transact-SQL). Le contenu du bloc \<dsql_operation> varie en fonction du type d’opération.Consultez le tableau suivant. |
| Type d’opération | Contenu | Exemple |
|---|---|---|
| BROADCAST_MOVE, DISTRIBUTE_REPLICATED_TABLE_MOVE, MASTER_TABLE_MOVE, PARTITION_MOVE, SHUFFLE_MOVE et TRIM_MOVE | Élément <operation_cost> avec ces attributs. Les valeurs reflètent uniquement l’opération locale :- cost est le coût de l’opérateur local et affiche la durée estimée de l’exécution de l’opération, en millisecondes. - accumulative_cost est la somme de toutes les opérations indiquées dans le plan, y compris les valeurs additionnées pour les opérations en parallèle, en millisecondes. - average_rowsize est la taille de ligne moyenne estimée (en octets) des lignes récupérées et passées durant l’opération. - output_rows est la cardinalité de sortie (nœud) et affiche le nombre de lignes de sortie. <location>: nœuds ou distributions où l’opération va s’exécuter. Les options sont : « Control », « ComputeNode », « AllComputeNodes », « AllDistributions », « SubsetDistributions », « Distribution » et « SubsetNodes ».<source_statement>: données sources pour le déplacement aléatoire.<destination_table>: table temporaire interne dans laquelle les données seront déplacées.<shuffle_columns>: (applicable uniquement aux opérations SHUFFLE_MOVE). La ou les colonnes à utiliser comme colonnes de distribution pour la table temporaire. |
<operation_cost cost="40" accumulative_cost="40" average_rowsize = "50" output_rows="100"/><location distribution="AllDistributions" /><source_statement type="statement">SELECT [TableAlias_3b77ee1d8ccf4a94ba644118b355db9d].[dist_date] FROM [qatest].[dbo].[flyers] [TableAlias_3b77ee1d8ccf4a94ba644118b355db9d] </source_statement><destination_table>Q_[TEMP_ID_259]_[PARTITION_ID]</destination_table><shuffle_columns>dist_date;</shuffle_columns><shuffle_columns>Email;Date;</shuffle_columns> |
| MetaDataCreate_Operation | <source_table>: table source pour l’opération.<destination_table>: table de destination pour l’opération. |
<source_table>databases</source_table><destination_table>MetaDataCreateLandingTempTable</destination_table> |
| ACTIVÉ | <location> : voir <location>.<sql_operation>: identifie la commande SQL à exécuter sur un nœud. |
<location permanent="false" distribution="AllDistributions">Compute</location><sql_operation type="statement">CREATE TABLE [tempdb].[dbo]. [Q_[TEMP_ID_259]]_ [PARTITION_ID]]]([dist_date] DATE) WITH (DISTRIBUTION = HASH([dist_date]),) </sql_operation> |
| RemoteOnOperation | <DestinationCatalog>: catalogue de destination.<DestinationSchema>: schéma de destination dans DestinationCatalog.<DestinationTableName>: nom de la table de destination ou « TableName ».<DestinationDatasource>: nom de la source de données de destination.<Username> et <Password> : ces champs indiquent qu’un nom d’utilisateur et un mot de passe pour la destination peuvent être nécessaires.<CreateStatement>: instruction de création de table pour la base de données de destination. |
<DestinationCatalog>master</DestinationCatalog><DestinationSchema>dbo</DestinationSchema><DestinationTableName>TableName</DestinationTableName><DestinationDatasource>DestDataSource</DestinationDatasource><Username>...</Username><Password>...</Password><CreateStatement>CREATE TABLE [master].[dbo].[TableName] ([col1] BIGINT) ON [PRIMARY] WITH(DATA_COMPRESSION=PAGE);</CreateStatement> |
| RETURN | <resultset>: identificateur du jeu de résultats. |
<resultset>RS_19</resultset> |
| RND_ID | <identifier>: identificateur de l’objet créé. |
<identifier>TEMP_ID_260</identifier> |
Limitations et restrictions
EXPLAIN peut être appliqué uniquement à des requêtes optimisables, c’est-à-dire des requêtes qui peuvent être améliorées ou modifiées en fonction des résultats d’une commande EXPLAIN. Les commandes EXPLAIN prises en charge sont fournies dans la section précédente. Toute tentative d’utilisation d’une commande EXPLAIN avec un type de requête non pris en charge retourne une erreur ou répercute la requête.
EXPLAIN n’est pas pris en charge dans une transaction utilisateur.
Exemples
L’exemple suivant montre une commande EXPLAIN exécutée sur une instruction SELECT, ainsi que le résultat XML retourné.
Envoi d’une instruction EXPLAIN
La commande envoyée dans cet exemple est la suivante :
-- Uses AdventureWorks
EXPLAIN
SELECT CAST (AVG(YearlyIncome) AS int) AS AverageIncome,
CAST(AVG(FIS.SalesAmount) AS int) AS AverageSales,
G.StateProvinceName, T.SalesTerritoryGroup
FROM dbo.DimGeography AS G
JOIN dbo.DimSalesTerritory AS T
ON G.SalesTerritoryKey = T.SalesTerritoryKey
JOIN dbo.DimCustomer AS C
ON G.GeographyKey = C.GeographyKey
JOIN dbo.FactInternetSales AS FIS
ON C.CustomerKey = FIS.CustomerKey
WHERE T.SalesTerritoryGroup IN ('North America', 'Pacific')
AND Gender = 'F'
GROUP BY G.StateProvinceName, T.SalesTerritoryGroup
ORDER BY AVG(YearlyIncome) DESC;
GO
Après l’exécution de l’instruction avec l’option EXPLAIN, l’onglet message présente une seule ligne intitulée explain et commençant par le texte XML \<?xml version="1.0" encoding="utf-8"?> Sélectionnez le code XML pour afficher l’intégralité du texte dans une fenêtre XML. Pour faciliter la compréhension des commentaires suivants, activez l’affichage des numéros de ligne dans SSDT.
Activer les numéros de ligne
Quand la sortie s’affiche dans l’onglet explain de SSDT, dans le menu OUTILS, sélectionnez Options.
Développez la section Éditeur de texte, développez XML, puis sélectionnez Général.
Dans la zone Affichage, cochez Numéros de ligne.
Sélectionnez OK.
Exemple de sortie EXPLAIN
Résultat XML de la commande EXPLAIN avec les numéros de ligne activés :
1 \<?xml version="1.0" encoding="utf-8"?>
2 <dsql_query>
3 <sql>SELECT CAST (AVG(YearlyIncome) AS int) AS AverageIncome,
4 CAST(AVG(FIS.SalesAmount) AS int) AS AverageSales,
5 G.StateProvinceName, T.SalesTerritoryGroup
6 FROM dbo.DimGeography AS G
7 JOIN dbo.DimSalesTerritory AS T
8 ON G.SalesTerritoryKey = T.SalesTerritoryKey
9 JOIN dbo.DimCustomer AS C
10 ON G.GeographyKey = C.GeographyKey
11 JOIN dbo.FactInternetSales AS FIS
12 ON C.CustomerKey = FIS.CustomerKey
13 WHERE T.SalesTerritoryGroup IN ('North America', 'Pacific')
14 AND Gender = 'F'
15 GROUP BY G.StateProvinceName, T.SalesTerritoryGroup
16 ORDER BY AVG(YearlyIncome) DESC</sql>
17 <dsql_operations total_cost="0.926237696" total_number_operations="9">
18 <dsql_operation operation_type="RND_ID">
19 <identifier>TEMP_ID_16893</identifier>
20 </dsql_operation>
21 <dsql_operation operation_type="ON">
22 <location permanent="false" distribution="AllComputeNodes" />
23 <sql_operations>
24 <sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_16893] ([CustomerKey] INT NOT NULL, [GeographyKey] INT, [YearlyIncome] MONEY ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
25 </sql_operations>
26 </dsql_operation>
27 <dsql_operation operation_type="BROADCAST_MOVE">
28 <operation_cost cost="0.121431552" accumulative_cost="0.121431552" average_rowsize="16" output_rows="31.6228" />
29 <source_statement>SELECT [T1_1].[CustomerKey] AS [CustomerKey],
30 [T1_1].[GeographyKey] AS [GeographyKey],
31 [T1_1].[YearlyIncome] AS [YearlyIncome]
32 FROM (SELECT [T2_1].[CustomerKey] AS [CustomerKey],
33 [T2_1].[GeographyKey] AS [GeographyKey],
34 [T2_1].[YearlyIncome] AS [YearlyIncome]
35 FROM [AdventureWorksPDW2012].[dbo].[DimCustomer] AS T2_1
36 WHERE ([T2_1].[Gender] = CAST (N'F' COLLATE Latin1_General_100_CI_AS_KS_WS AS NVARCHAR (1)) COLLATE Latin1_General_100_CI_AS_KS_WS)) AS T1_1</source_statement>
37 <destination_table>[TEMP_ID_16893]</destination_table>
38 </dsql_operation>
39 <dsql_operation operation_type="RND_ID">
40 <identifier>TEMP_ID_16894</identifier>
41 </dsql_operation>
42 <dsql_operation operation_type="ON">
43 <location permanent="false" distribution="AllDistributions" />
44 <sql_operations>
45 <sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_16894] ([StateProvinceName] NVARCHAR(50) COLLATE Latin1_General_100_CI_AS_KS_WS, [SalesTerritoryGroup] NVARCHAR(50) COLLATE Latin1_General_100_CI_AS_KS_WS NOT NULL, [col] BIGINT, [col1] MONEY NOT NULL, [col2] BIGINT, [col3] MONEY NOT NULL ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
46 </sql_operations>
47 </dsql_operation>
48 <dsql_operation operation_type="SHUFFLE_MOVE">
49 <operation_cost cost="0.804806144" accumulative_cost="0.926237696" average_rowsize="232" output_rows="108.406" />
50 <source_statement>SELECT [T1_1].[StateProvinceName] AS [StateProvinceName],
51 [T1_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup],
52 [T1_1].[col2] AS [col],
53 [T1_1].[col] AS [col1],
54 [T1_1].[col3] AS [col2],
55 [T1_1].[col1] AS [col3]
56 FROM (SELECT ISNULL([T2_1].[col1], CONVERT (MONEY, 0.00, 0)) AS [col],
57 ISNULL([T2_1].[col3], CONVERT (MONEY, 0.00, 0)) AS [col1],
58 [T2_1].[StateProvinceName] AS [StateProvinceName],
59 [T2_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup],
60 [T2_1].[col] AS [col2],
61 [T2_1].[col2] AS [col3]
62 FROM (SELECT COUNT_BIG([T3_2].[YearlyIncome]) AS [col],
63 SUM([T3_2].[YearlyIncome]) AS [col1],
64 COUNT_BIG(CAST ((0) AS INT)) AS [col2],
65 SUM([T3_2].[SalesAmount]) AS [col3],
66 [T3_2].[StateProvinceName] AS [StateProvinceName],
67 [T3_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup]
68 FROM (SELECT [T4_1].[SalesTerritoryKey] AS [SalesTerritoryKey],
69 [T4_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup]
70 FROM [AdventureWorksPDW2012].[dbo].[DimSalesTerritory] AS T4_1
71 WHERE (([T4_1].[SalesTerritoryGroup] = CAST (N'North America' COLLATE Latin1_General_100_CI_AS_KS_WS AS NVARCHAR (13)) COLLATE Latin1_General_100_CI_AS_KS_WS)
72 OR ([T4_1].[SalesTerritoryGroup] = CAST (N'Pacific' COLLATE Latin1_General_100_CI_AS_KS_WS AS NVARCHAR (7)) COLLATE Latin1_General_100_CI_AS_KS_WS))) AS T3_1
73 INNER JOIN
74 (SELECT [T4_1].[SalesTerritoryKey] AS [SalesTerritoryKey],
75 [T4_2].[YearlyIncome] AS [YearlyIncome],
76 [T4_2].[SalesAmount] AS [SalesAmount],
77 [T4_1].[StateProvinceName] AS [StateProvinceName]
78 FROM [AdventureWorksPDW2012].[dbo].[DimGeography] AS T4_1
79 INNER JOIN
80 (SELECT [T5_2].[GeographyKey] AS [GeographyKey],
81 [T5_2].[YearlyIncome] AS [YearlyIncome],
82 [T5_1].[SalesAmount] AS [SalesAmount]
83 FROM [AdventureWorksPDW2012].[dbo].[FactInternetSales] AS T5_1
84 INNER JOIN
85 [tempdb].[dbo].[TEMP_ID_16893] AS T5_2
86 ON ([T5_1].[CustomerKey] = [T5_2].[CustomerKey])) AS T4_2
87 ON ([T4_2].[GeographyKey] = [T4_1].[GeographyKey])) AS T3_2
88 ON ([T3_1].[SalesTerritoryKey] = [T3_2].[SalesTerritoryKey])
89 GROUP BY [T3_2].[StateProvinceName], [T3_1].[SalesTerritoryGroup]) AS T2_1) AS T1_1</source_statement>
90 <destination_table>[TEMP_ID_16894]</destination_table>
91 <shuffle_columns>StateProvinceName;</shuffle_columns>
92 </dsql_operation>
93 <dsql_operation operation_type="ON">
94 <location permanent="false" distribution="AllComputeNodes" />
95 <sql_operations>
96 <sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_16893]</sql_operation>
97 </sql_operations>
98 </dsql_operation>
99 <dsql_operation operation_type="RETURN">
100 <location distribution="AllDistributions" />
101 <select>SELECT [T1_1].[col] AS [col],
102 [T1_1].[col1] AS [col1],
103 [T1_1].[StateProvinceName] AS [StateProvinceName],
104 [T1_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup],
105 [T1_1].[col2] AS [col2]
106 FROM (SELECT CONVERT (INT, [T2_1].[col], 0) AS [col],
107 CONVERT (INT, [T2_1].[col1], 0) AS [col1],
108 [T2_1].[StateProvinceName] AS [StateProvinceName],
109 [T2_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup],
110 [T2_1].[col] AS [col2]
111 FROM (SELECT CASE
112 WHEN ([T3_1].[col] = CAST ((0) AS BIGINT)) THEN CAST (NULL AS MONEY)
113 ELSE ([T3_1].[col1] / CONVERT (MONEY, [T3_1].[col], 0))
114 END AS [col],
115 CASE
116 WHEN ([T3_1].[col2] = CAST ((0) AS BIGINT)) THEN CAST (NULL AS MONEY)
117 ELSE ([T3_1].[col3] / CONVERT (MONEY, [T3_1].[col2], 0))
118 END AS [col1],
119 [T3_1].[StateProvinceName] AS [StateProvinceName],
120 [T3_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup]
121 FROM (SELECT ISNULL([T4_1].[col], CONVERT (BIGINT, 0, 0)) AS [col],
122 ISNULL([T4_1].[col1], CONVERT (MONEY, 0.00, 0)) AS [col1],
123 ISNULL([T4_1].[col2], CONVERT (BIGINT, 0, 0)) AS [col2],
124 ISNULL([T4_1].[col3], CONVERT (MONEY, 0.00, 0)) AS [col3],
125 [T4_1].[StateProvinceName] AS [StateProvinceName],
126 [T4_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup]
127 FROM (SELECT SUM([T5_1].[col]) AS [col],
128 SUM([T5_1].[col1]) AS [col1],
129 SUM([T5_1].[col2]) AS [col2],
130 SUM([T5_1].[col3]) AS [col3],
131 [T5_1].[StateProvinceName] AS [StateProvinceName],
132 [T5_1].[SalesTerritoryGroup] AS [SalesTerritoryGroup]
133 FROM [tempdb].[dbo].[TEMP_ID_16894] AS T5_1
134 GROUP BY [T5_1].[StateProvinceName], [T5_1].[SalesTerritoryGroup]) AS T4_1) AS T3_1) AS T2_1) AS T1_1
135 ORDER BY [T1_1].[col2] DESC</select>
136 </dsql_operation>
137 <dsql_operation operation_type="ON">
138 <location permanent="false" distribution="AllDistributions" />
139 <sql_operations>
140 <sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_16894]</sql_operation>
141 </sql_operations>
142 </dsql_operation>
143 </dsql_operations>
144 </dsql_query>
Explication de la sortie EXPLAIN
La sortie du bloc de code précédent contient 144 lignes numérotées. Il est possible que votre sortie de la même requête soit un peu différente. La liste suivante décrit les sections principales.
Les lignes 3 à 16 décrivent la requête analysée.
La ligne 17 indique qu’il y a 9 opérations au total. Le début de chaque opération est signalé par les mots dsql_operation.
La ligne 18 démarre l’opération 1. Les lignes 18 et 19 indiquent qu’une opération RND_ID va créer un numéro d’identification aléatoire utilisé pour décrire l’objet. L’objet décrit dans l'exemple de sortie est TEMP_ID_16893. Votre numéro sera différent.
La ligne 20 démarre l’opération 2. Lignes 21 à 25 : créer une table temporaire nommée
TEMP_ID_16893sur tous les nœuds de calcul.La ligne 26 démarre l’opération 3. Lignes 27 à 37 : déplacer les données vers
TEMP_ID_16893en effectuant un déplacement par diffusion. La requête envoyée à chaque nœud de calcul est fournie. La ligne 37 spécifie que la table de destination estTEMP_ID_16893.La ligne 38 démarre l’opération 4. Lignes 39 à 40 : créer un ID aléatoire pour une table. TEMP_ID_16894 est le numéro d’identification utilisé dans l’exemple. Votre numéro sera différent.
La ligne 41 démarre l’opération 5. Lignes 42 à 46 : créer une table temporaire nommée
TEMP_ID_16894sur tous les nœuds.La ligne 47 démarre l’opération 6. Lignes 48 à 91 : déplacer les données de plusieurs tables (dont
TEMP_ID_16893) vers la tableTEMP_ID_16893, en effectuant un déplacement aléatoire. La requête envoyée à chaque nœud de calcul est fournie. La ligne 90 spécifie que la table de destination estTEMP_ID_16894. La ligne 91 spécifie les colonnes.La ligne 92 démarre l’opération 7. Lignes 93 à 97 : supprimer la table temporaire
TEMP_ID_16893sur tous les nœuds de calcul.La ligne 98 démarre l’opération 8. Lignes 99 à 135 : retourner les résultats au client. Utilise la requête fournie pour obtenir les résultats.
La ligne 136 démarre l’opération 9. Lignes 137 à 140 : supprimer la table temporaire
TEMP_ID_16894sur tous les nœuds.
Envoi d’une instruction EXPLAIN WITH_RECOMMENDATIONS
EXPLAIN WITH_RECOMMENDATIONS
select count(*)
from ((select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_customer_sk = customer.c_customer_sk
and d_month_seq between 1194 and 1194+11)
except
(select distinct c_last_name, c_first_name, d_date
from catalog_sales, date_dim, customer
where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
and d_month_seq between 1194 and 1194+11)
) top_customers
Exemple de sortie pour EXPLAIN WITH_RECOMMENDATIONS
L'exemple de sortie suivant inclut la création d’un affichage matérialisé recommandé appelé View1.
<?xml version="1.0" encoding="utf-8"?>
<dsql_query number_nodes="1" number_distributions="8" number_distributions_per_node="8">
<sql>select count(*)
from ((select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_customer_sk = customer.c_customer_sk
and d_month_seq between 1194 and 1194+11)
except
(select distinct c_last_name, c_first_name, d_date
from catalog_sales, date_dim, customer
where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
and d_month_seq between 1194 and 1194+11)
) top_customers</sql>
<materialized_view_candidates>
<materialized_view_candidates with_constants="False">CREATE MATERIALIZED VIEW View1 WITH (DISTRIBUTION = HASH([Expr0])) AS
SELECT [tpcds10].[dbo].[customer].[c_last_name] AS [Expr0],
[tpcds10].[dbo].[customer].[c_first_name] AS [Expr1],
[tpcds10].[dbo].[date_dim].[d_date] AS [Expr2],
[tpcds10].[dbo].[date_dim].[d_month_seq] AS [Expr3]
FROM [dbo].[store_sales],
[dbo].[date_dim],
[dbo].[customer]
WHERE ([tpcds10].[dbo].[store_sales].[ss_customer_sk]=[tpcds10].[dbo].[customer].[c_customer_sk])
AND ([tpcds10].[dbo].[store_sales].[ss_sold_date_sk]=[tpcds10].[dbo].[date_dim].[d_date_sk])
GROUP BY [tpcds10].[dbo].[customer].[c_last_name],
[tpcds10].[dbo].[customer].[c_first_name],
[tpcds10].[dbo].[date_dim].[d_date],
[tpcds10].[dbo].[date_dim].[d_month_seq]</materialized_view_candidates>
<materialized_view_candidates with_constants="False">CREATE MATERIALIZED VIEW View2 WITH (DISTRIBUTION = HASH([Expr0])) AS
SELECT [tpcds10].[dbo].[customer].[c_last_name] AS [Expr0],
[tpcds10].[dbo].[customer].[c_first_name] AS [Expr1],
[tpcds10].[dbo].[date_dim].[d_date] AS [Expr2],
[tpcds10].[dbo].[date_dim].[d_month_seq] AS [Expr3]
FROM [dbo].[catalog_sales],
[dbo].[date_dim],
[dbo].[customer]
WHERE ([tpcds10].[dbo].[catalog_sales].[cs_bill_customer_sk]=[tpcds10].[dbo].[customer].[c_customer_sk])
AND ([tpcds10].[dbo].[catalog_sales].[cs_sold_date_sk]=[tpcds10].[dbo].[date_dim].[d_date_sk])
GROUP BY [tpcds10].[dbo].[customer].[c_last_name],
[tpcds10].[dbo].[customer].[c_first_name],
[tpcds10].[dbo].[date_dim].[d_date],
[tpcds10].[dbo].[date_dim].[d_month_seq]</materialized_view_candidates>
<materialized_view_candidates with_constants="True">CREATE MATERIALIZED VIEW View3 WITH (DISTRIBUTION = HASH([Expr0])) AS
SELECT [tpcds10].[dbo].[customer].[c_last_name] AS [Expr0],
[tpcds10].[dbo].[customer].[c_first_name] AS [Expr1],
[tpcds10].[dbo].[date_dim].[d_date] AS [Expr2]
FROM [dbo].[store_sales],
[dbo].[date_dim],
[dbo].[customer]
WHERE ([tpcds10].[dbo].[store_sales].[ss_customer_sk]=[tpcds10].[dbo].[customer].[c_customer_sk])
AND ([tpcds10].[dbo].[store_sales].[ss_sold_date_sk]=[tpcds10].[dbo].[date_dim].[d_date_sk])
AND ([tpcds10].[dbo].[date_dim].[d_month_seq]>=(1194))
AND ([tpcds10].[dbo].[date_dim].[d_month_seq]<=(1205))
GROUP BY [tpcds10].[dbo].[customer].[c_last_name],
[tpcds10].[dbo].[customer].[c_first_name],
[tpcds10].[dbo].[date_dim].[d_date]</materialized_view_candidates>
<materialized_view_candidates with_constants="True">CREATE MATERIALIZED VIEW View4 WITH (DISTRIBUTION = HASH([Expr0])) AS
SELECT [tpcds10].[dbo].[customer].[c_last_name] AS [Expr0],
[tpcds10].[dbo].[customer].[c_first_name] AS [Expr1],
[tpcds10].[dbo].[date_dim].[d_date] AS [Expr2]
FROM [dbo].[catalog_sales],
[dbo].[date_dim],
[dbo].[customer]
WHERE ([tpcds10].[dbo].[catalog_sales].[cs_bill_customer_sk]=[tpcds10].[dbo].[customer].[c_customer_sk])
AND ([tpcds10].[dbo].[catalog_sales].[cs_sold_date_sk]=[tpcds10].[dbo].[date_dim].[d_date_sk])
AND ([tpcds10].[dbo].[date_dim].[d_month_seq]>=(1194))
AND ([tpcds10].[dbo].[date_dim].[d_month_seq]<=(1205))
GROUP BY [tpcds10].[dbo].[customer].[c_last_name],
[tpcds10].[dbo].[customer].[c_first_name],
[tpcds10].[dbo].[date_dim].[d_date]</materialized_view_candidates>
</materialized_view_candidates>
<dsql_operations total_cost="3472197.35650704" total_number_operations="28">
<dsql_operation operation_type="RND_ID">
<identifier>TEMP_ID_1</identifier>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_1] ([c_customer_sk] INT NOT NULL, [c_first_name] CHAR(20) COLLATE SQL_Latin1_General_CP1_CI_AS, [c_last_name] CHAR(30) COLLATE SQL_Latin1_General_CP1_CI_AS ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="BROADCAST_MOVE">
<operation_cost cost="842400" accumulative_cost="842400" average_rowsize="54" output_rows="65000000" GroupNumber="44" />
<source_statement>SELECT [T1_1].[c_customer_sk] AS [c_customer_sk],
[T1_1].[c_first_name] AS [c_first_name],
[T1_1].[c_last_name] AS [c_last_name]
FROM [tpcds10].[dbo].[customer] AS T1_1</source_statement>
<destination_table>[TEMP_ID_1]</destination_table>
</dsql_operation>
<dsql_operation operation_type="RND_ID">
<identifier>TEMP_ID_2</identifier>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_2] ([d_date_sk] INT NOT NULL, [d_date] DATE ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="BROADCAST_MOVE">
<operation_cost cost="0.62729352" accumulative_cost="842400.62729352" average_rowsize="7" output_rows="373.389" GroupNumber="43" />
<source_statement>SELECT [T1_1].[d_date_sk] AS [d_date_sk],
[T1_1].[d_date] AS [d_date]
FROM (SELECT [T2_1].[d_date_sk] AS [d_date_sk],
[T2_1].[d_date] AS [d_date]
FROM [tpcds10].[dbo].[date_dim] AS T2_1
WHERE (([T2_1].[d_month_seq] >= CAST ((1194) AS INT))
AND ([T2_1].[d_month_seq] <= CAST ((1205) AS INT)))) AS T1_1</source_statement>
<destination_table>[TEMP_ID_2]</destination_table>
</dsql_operation>
<dsql_operation operation_type="RND_ID">
<identifier>TEMP_ID_3</identifier>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllDistributions" />
<sql_operations>
<sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_3] ([cs_bill_customer_sk] INT, [d_date] DATE ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="SHUFFLE_MOVE">
<operation_cost cost="610362.9" accumulative_cost="1452763.52729352" average_rowsize="7" output_rows="2906490000" GroupNumber="57" />
<source_statement>SELECT [T1_1].[cs_bill_customer_sk] AS [cs_bill_customer_sk],
[T1_1].[d_date] AS [d_date]
FROM (SELECT [T2_2].[cs_bill_customer_sk] AS [cs_bill_customer_sk],
[T2_1].[d_date] AS [d_date]
FROM [tempdb].[dbo].[TEMP_ID_2] AS T2_1
INNER JOIN
[tpcds10].[dbo].[catalog_sales] AS T2_2
ON ([T2_2].[cs_sold_date_sk] = [T2_1].[d_date_sk])) AS T1_1</source_statement>
<destination_table>[TEMP_ID_3]</destination_table>
<shuffle_columns>d_date;</shuffle_columns>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_2]</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="RND_ID">
<identifier>TEMP_ID_4</identifier>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_4] ([c_customer_sk] INT NOT NULL, [c_first_name] CHAR(20) COLLATE SQL_Latin1_General_CP1_CI_AS, [c_last_name] CHAR(30) COLLATE SQL_Latin1_General_CP1_CI_AS ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="BROADCAST_MOVE">
<operation_cost cost="842400" accumulative_cost="2295163.52729352" average_rowsize="54" output_rows="65000000" GroupNumber="36" />
<source_statement>SELECT [T1_1].[c_customer_sk] AS [c_customer_sk],
[T1_1].[c_first_name] AS [c_first_name],
[T1_1].[c_last_name] AS [c_last_name]
FROM [tpcds10].[dbo].[customer] AS T1_1</source_statement>
<destination_table>[TEMP_ID_4]</destination_table>
</dsql_operation>
<dsql_operation operation_type="RND_ID">
<identifier>TEMP_ID_5</identifier>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_5] ([d_date_sk] INT NOT NULL, [d_date] DATE ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="BROADCAST_MOVE">
<operation_cost cost="0.62729352" accumulative_cost="2295164.15458704" average_rowsize="7" output_rows="373.389" GroupNumber="35" />
<source_statement>SELECT [T1_1].[d_date_sk] AS [d_date_sk],
[T1_1].[d_date] AS [d_date]
FROM (SELECT [T2_1].[d_date_sk] AS [d_date_sk],
[T2_1].[d_date] AS [d_date]
FROM [tpcds10].[dbo].[date_dim] AS T2_1
WHERE (([T2_1].[d_month_seq] >= CAST ((1194) AS INT))
AND ([T2_1].[d_month_seq] <= CAST ((1205) AS INT)))) AS T1_1</source_statement>
<destination_table>[TEMP_ID_5]</destination_table>
</dsql_operation>
<dsql_operation operation_type="RND_ID">
<identifier>TEMP_ID_6</identifier>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllDistributions" />
<sql_operations>
<sql_operation type="statement">CREATE TABLE [tempdb].[dbo].[TEMP_ID_6] ([ss_customer_sk] INT, [d_date] DATE ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="SHUFFLE_MOVE">
<operation_cost cost="1177033.2" accumulative_cost="3472197.35458704" average_rowsize="7" output_rows="5604920000" GroupNumber="54" />
<source_statement>SELECT [T1_1].[ss_customer_sk] AS [ss_customer_sk],
[T1_1].[d_date] AS [d_date]
FROM (SELECT [T2_2].[ss_customer_sk] AS [ss_customer_sk],
[T2_1].[d_date] AS [d_date]
FROM [tempdb].[dbo].[TEMP_ID_5] AS T2_1
INNER JOIN
[tpcds10].[dbo].[store_sales] AS T2_2
ON ([T2_2].[ss_sold_date_sk] = [T2_1].[d_date_sk])) AS T1_1</source_statement>
<destination_table>[TEMP_ID_6]</destination_table>
<shuffle_columns>d_date;</shuffle_columns>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_5]</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="Control" />
<sql_operations>
<sql_operation type="statement">CREATE TABLE [tempdb].[QTables].[QTable_87367172aa554f06b73cf3ed97e5b985] ([col] BIGINT ) WITH(DATA_COMPRESSION=PAGE);</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="PARTITION_MOVE">
<operation_cost cost="0.00192" accumulative_cost="3472197.35650704" average_rowsize="8" output_rows="1" GroupNumber="66" />
<location distribution="AllDistributions" />
<source_statement>SELECT [T1_1].[col] AS [col]
FROM (SELECT COUNT_BIG(CAST ((0) AS INT)) AS [col]
FROM (SELECT 0 AS [col]
FROM [tempdb].[dbo].[TEMP_ID_4] AS T3_1
INNER JOIN
[tempdb].[dbo].[TEMP_ID_6] AS T3_2
ON ([T3_2].[ss_customer_sk] = [T3_1].[c_customer_sk])
GROUP BY [T3_1].[c_last_name], [T3_1].[c_first_name], [T3_2].[d_date]
HAVING NOT EXISTS (SELECT 1 AS C1
FROM [tempdb].[dbo].[TEMP_ID_1] AS T4_1
INNER JOIN
[tempdb].[dbo].[TEMP_ID_3] AS T4_2
ON ([T4_2].[cs_bill_customer_sk] = [T4_1].[c_customer_sk])
GROUP BY [T4_1].[c_last_name], [T4_1].[c_first_name], [T4_2].[d_date]
HAVING (([T3_1].[c_last_name] = [T4_1].[c_last_name]
OR ([T3_1].[c_last_name] IS NULL
AND [T4_1].[c_last_name] IS NULL))
AND ([T3_1].[c_first_name] = [T4_1].[c_first_name]
OR ([T3_1].[c_first_name] IS NULL
AND [T4_1].[c_first_name] IS NULL))
AND ([T3_2].[d_date] = [T4_2].[d_date]
OR ([T3_2].[d_date] IS NULL
AND [T4_2].[d_date] IS NULL))))) AS T2_1
GROUP BY [T2_1].[col]) AS T1_1</source_statement>
<destination>Control</destination>
<destination_table>[QTable_87367172aa554f06b73cf3ed97e5b985]</destination_table>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllDistributions" />
<sql_operations>
<sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_6]</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_4]</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllDistributions" />
<sql_operations>
<sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_3]</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="AllComputeNodes" />
<sql_operations>
<sql_operation type="statement">DROP TABLE [tempdb].[dbo].[TEMP_ID_1]</sql_operation>
</sql_operations>
</dsql_operation>
<dsql_operation operation_type="RETURN">
<location distribution="Control" />
<select>SELECT [T1_1].[col] AS [col]
FROM (SELECT CONVERT (INT, [T2_1].[col], 0) AS [col]
FROM (SELECT ISNULL([T3_1].[col], CONVERT (BIGINT, 0, 0)) AS [col]
FROM (SELECT SUM([T4_1].[col]) AS [col]
FROM [tempdb].[QTables].[QTable_87367172aa554f06b73cf3ed97e5b985] AS T4_1) AS T3_1) AS T2_1) AS T1_1</select>
</dsql_operation>
<dsql_operation operation_type="ON">
<location permanent="false" distribution="Control" />
<sql_operations>
<sql_operation type="statement">DROP TABLE [tempdb].[QTables].[QTable_87367172aa554f06b73cf3ed97e5b985]</sql_operation>
</sql_operations>
</dsql_operation>
</dsql_operations>
</dsql_query>
Voir aussi
- sys.pdw_materialized_view_column_distribution_properties (Transact-SQL)
- sys.pdw_materialized_view_distribution_properties (Transact-SQL)
- sys.pdw_materialized_view_mappings (Transact-SQL)
- Vues de catalogue Azure Synapse Analytics et Parallel Data Warehouse
- Vues système prises en charge dans Azure Synapse Analytics
- Instructions T-SQL prises en charge dans Azure Synapse Analytics
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