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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 retournée

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 représente des instructions SQL séquentielles ; lorsque la requête s’exécute, elle peut impliquer des opérations parallélisées, de sorte que certaines des instructions séquentielles affichées peuvent s’exécuter en même temps.

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 requis.

<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>

Limites

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

  1. Quand la sortie s’affiche dans l’onglet explain de SSDT, dans le menu OUTILS, sélectionnez Options.

  2. Développez la section Éditeur de texte, développez XML, puis sélectionnez Général.

  3. Dans la zone Affichage, cochez Numéros de ligne.

  4. 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. Votre sortie de cette requête peut différer légèrement. 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_16893 sur tous les nœuds de calcul.

  • La ligne 26 démarre l’opération 3. Lignes 27 à 37 : déplacer les données vers TEMP_ID_16893 en effectuant un déplacement par diffusion. La requête envoyée à chaque nœud de calcul est fournie. La ligne 37 spécifie que la table de destination est TEMP_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_16894 sur 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 table TEMP_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 est TEMP_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_16893 sur 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_16894 sur 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]&gt;=(1194))
  AND ([tpcds10].[dbo].[date_dim].[d_month_seq]&lt;=(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]&gt;=(1194))
  AND ([tpcds10].[dbo].[date_dim].[d_month_seq]&lt;=(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] &gt;= CAST ((1194) AS INT))
                AND ([T2_1].[d_month_seq] &lt;= 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] &gt;= CAST ((1194) AS INT))
                AND ([T2_1].[d_month_seq] &lt;= 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>