This highly consistent single machine world is easy to reason about, but it doesn’t scale easily, and has single points of failure, and when you do make the tradeoffs needed to scale, you find features like “in” queries don’t scale unless they happen to be all be on the same machine (like Cassandra). So you have to store your data in such a way that it should be completely retrievable. These performance issues occur because of the behaviour of tombstones during reads. It is a widely known tool, appearing in numerous blog posts to illustrate performance testing on Cassandra and often recommended for stress testing specific data models. Among numerous database types, latency gives the first indication if your environment faces performance issues. Compaction brings two benefits, first the read query performance will be improved as now Cassandra needs to read only fewer SSTables, second benefit is the disk space is reclaimed. Using an IN clause can degrade performance, because usually many nodes must be queried, while this one query is sent to the coordinator to handle. These performance issues occur because of the behaviour of tombstones during reads. There isn't an elegant CQL query to solve this, as Cassandra does not offer a lot of flexibility in this respect. It means, Cassandra stores columns based on the column names, leading to very quick slicing. Cassandra makes an excellent database for storage in the real-time layer for several reasons: High performance writes: we will be ingesting large amounts of incoming data, and in parallel writing materializations for query support; Highly reliable, shared nothing architecture; and, Good query flexibility. It helps in increasing the performance by skipping the parsing phase for each and every query . In Cassandra, data retrieval is a sensitive issue. Cassandra isn’t an RDMS, but it has some features that make it look a bit like one. Cassandra Where Clause In Cassandra, data retrieval is a sensitive issue. Any query that can only be run with an “ALLOW FILTERING” clause. Will Cassandra still deliver the performance you want, if you use it in this way? Cassandra is optimized for high write performance. Where clause in Cassandra Query Language is used to filter the records. We can use Allow Filtering and it will work but remember it is going to bring all the records and then filter the records which we don't need. Cassandra IN clause Cassandra supports IN clause in addition to =, in the where clause. ------------+-------+-------+-------------+----- You’ve done your homework and all you queries look like this: Over time as features are added however, you make some tradeoffs and need to start doing queries across partitions. The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Now if we would like to filter the data by using Age,  you can use without index on the age column but we have to use Allow Filtering and the can be expensive operation. Cassandra Auth: Never use the cassandra user in production! When you google ‘antipatterns in Cassandra’ you will find lots of information. Domain Modeling Around Deletes or “Using Cassandra as a queue even when you know better”. With Storage-Attached Indexing, developers now have accessibility to familiar indexing and queries - such as WHERE clauses - in Apache Cassandra. A column on which you have created the index.           3 |     M |  Raza | New Address |  26. Single Column Primary Key - Cassandra / CQL Tutorial. The reasons for these differences come mainly from the fact that Cassandra is dealing with distributed data and aims to prevent inefficient queries. InvalidRequest: Error from server: code=2200 [Invalid query] message="Cannot execute this query as it might involve data filtering and thus may have unpredictable performance. Theoretically there is no reason why cassandra-stress couldn’t fit your performance testing needs. In a range query, your Cassandra driver will normally use paging, which allows nodes to return a limited number of responses at a time. Adding an index on time2 might improve the query performance. So lets say you’re doing you’re best to data model all around one partition. Have a look at Cassandra CQL Clauses Executing the command user can get many statistics to up the performance of the database. Compaction happens automatically but it can be done manually also using ‘nodetool compact’ command. Cassandra, by contrast, offers the availability and performance necessary for developing highly available applications. Then again, performance may be fine – just a warning and you can append the ALLOW FILTERING clause. Cassandra for Real-Time Layer. Cassandra does not support joins, group by, OR clause, aggregations, etc. The column is filtered in Cassandra by creating an index on non-primary key columns. Here is right way to get the data from our table, I have two columns as Partition Key so I am using both of them in where clause. However, this flexibility comes at a substantial performance cost that should be aware of before using ‘ALLOW FILTERING’. With the Spark-Cassandra connector catalyst optimizer pushing predicates to Cassandra for the IN clause, queries were completed in a few seconds rather than several minutes (~30 minutes for a few TBs of data), resulting in a performance … In the Cassandra, it is advisable to create an Index on filtered column. There isn't an elegant CQL query to solve this, as Cassandra does not offer a lot of flexibility in this respect. In the older version of CQL, Index must be created on the filtered column and without applying Index on column you cannot use that column as a filter in WHERE clause. No amount of performance tuning can mitigate a known anti-pattern. In our case we have only 3 records so no big deal but think if you have millions of records in table. It truly embraces the distributed nature of Cassandra. Maximize the number of writes. Here’s where the IN operator is supported: The last column in the partition key, assuming the = operator is used on the first N-1 columns of the partition key The last clustering column, assuming the … ... then it may be time to stop and reconsider. So you have to store your data in such a way that it should be completely retrievable. If we will use clustering column alone, Cassandra will throw the warning and ask to use Allow Filtering. Improved numeric range performance Using an IN clause can degrade performance, because usually many nodes must be queried, while this one query is sent to the coordinator to handle. From clause interpretation is same as SQL. That can be expensive operation. ------------+-------+-------+-------------+-----, ------------+-------+-------+--------------+-----, ------------+--------+--------+--------------+-----, MySQL / MariaDB Developer Tutorial Beginner to Advance, SQL Server High Availability on Azure Tutorial, Team Foundation Server 2013 Video Tutorial, Team Foundation Server 2015 Video Tutorial, Windows Server 2012 R2 Installation Videos. Let's create index on Age column by using below query and then we will be able to use Age column in where clause without Allowing Filtering. But if you try to execute this query blindly it generally won’t work; the command … You’ll find when you try and scale highly consistent single machine technologies via sharding you run into the same problem set as we have with distributed databases, only without appropriate tools. The ‘ALLOW FILTERING’ clause in Cassandra CQL provides greatly increased flexibility of querying. Next time you want the query you can just bind the variables with cached prepared statements . To use clustering column properly, we should use Partition key columns first in where and then clustering column to get results fast. ... CQL Clauses. It truly embraces the distributed nature of Cassandra. Better options could be designing the partition key as per your input queries or create indexes on columns which you need to use in where clause. Cassandra supports the different data types in which you cannot create an Index. From table definition you can see that we have clustering column "lname". Text Data Type in Cassandra - Cassandra / CQL Tuto... Set Type in Cassandra - Cassandra / CQL Tutorial, Map Data Type in Cassandra - Cassandra / CQL Tutorial. Below script will get us all the records where age=40. employeeid | fname | lname | address     | age If I try to use one of these columns then we will get below error. Maximize the number of writes. Double Data Type in Cassandra Query Language ( CQL... Boolean Data Type in Cassandra Query Language - Ca... Tinyint Data Type in Cassandra Query Language (CQL... Smallint Data Type in Cassandra Query Language - C... Int Data Type in Cassandra Query Language ( CQL) -... BigInt Data Type in Cassandra Query Language ( CQL... Data Types available in CQL - Cassandra / CQL Tuto... How to get list of tables in each Keyspace in Cass... USE Command in Cassandra Query Language - Cassandr... Drop Keyspace in Cassandra - Cassandra / CQL Tutorial. The de-facto tool to model and test workloads on Cassandra is cassandra-stress. Cassandra: FROM clause with only one table allowed. Apache Cassandra is an amazing data store, allowing you to persist billions or trillions of rows in a single table, all while still guaranteeing constant* time performance. To filter the records, you will be using. Cassandra Scalability: Allow Filtering and Partition Keys. Get Row Count from Table in Cassandra - Cassandra ... How to Limit returned rows in Cassandra - Cassandr... Use Distinct in Cassandra - Cassandra / CQL Tutorial. Now joins, subqueries or expressions are allowed. Within Cassandra, read/write latency tells you how long it takes to execute a query. Cassandra Where Clause In Cassandra, data retrieval is a sensitive issue. ... CQL Clauses. Cassandra isn’t an RDMS, but it has some features that make it look a bit like one. ... What this means is that the columns in this table are indexed only by the columns listed in the PRIMARY KEY clause. Most things that don’t really work as well in a distributed database as people think they should, bulk loading via batch, in queries, and ‘rollbacks’ are left over vestiges from a single machine thinking. Enroll in or hire us to teach our Introduction to Cassandra 2, CQL 3, and the Datastax Java Driver class in Harrisburg, Pennsylvania by calling us @303.377.6176. Performance – Cassandra has demonstrated brilliant performance under large sets of data. Cassandra makes an excellent database for storage in the real-time layer for several reasons: High performance writes: we will be ingesting large amounts of incoming data, and in parallel writing materializations for query support; Highly reliable, shared nothing architecture; and, Good query flexibility. By Anup Shirolkar. cqlsh is a command line shell for interacting with Cassandra and its compatible databases through CQL (the Cassandra Query … So embrace continuous availability, multiple replicas, and leave behind yesterday’s approaches. So these rules must be kept in mind while modelling data in Cassandra. Will Cassandra still deliver the performance you want, if you use it in this way? If you’re using an IN clause with 60 values, the coordinator will block and wait for 60 values to be return, an in the worse case scenario, they would be on 60 different nodes. In a range query, your Cassandra driver will normally use paging, which allows nodes to return a limited number of responses at a time. How to get definition of Keyspace in Cassanda by u... How to Alter Keyspace in Cassandra by using CQL - ... How to get list of all Keyspaces in Cassandra by u... How to create Keyspaces in Cassandra by using CQL ... How to see Permissions of a user in MariaDB. Cassandra is optimized for high write performance. Recently, there’s been a new change proposal for Cassandra indexing that attempts to reduce the tradeoff between usability and stability: Making the WHERE clause … Where clause in Cassandra Query Language is used to filter the records. Compaction brings two benefits, first the read query performance will be improved as now Cassandra needs to read only fewer SSTables, second benefit is the disk space is reclaimed. Depending on several factors, the query may involve many or most or even all cluster nodes, potentially vitiating the excellent performance of which Cassandra is capable. This post explains the costs and benefits of ALLOW FILTERING. As discusses above, it can be expensive operation. high-level data model – this is column-oriented. Insert records in employee table by using CQL. Can't connect to local MySQL server through socket... How To Create a Galera Cluster with MariaDB 10.2 o... How to Uninstall MariaDB from Linux CentOS. At first there are only a few queries like this. Performance – Cassandra has demonstrated brilliant performance under large sets of data. Imagine the contrived scenario where we have a partition key with the values A,B,C with 9 nodes and a replication factor of 3. Couple of things to remember, The values you provide in where clauses are case senstive. By leaving out a clustering key between others, Cassandra would have to do a scan to find the requested data, which is inefficient and may have unpredictable performance. AntiEntropyStage is the thread pool … Instead of trying to approach this like a relational database let’s embrace the distributed nature of Cassandra and send queries directly to the nodes that can get the best fastest answer. As we have composite Partition Key ( Employeeid and Fname), we can filter the records by using these columns. Let's create employee table with composite Parition key( Employeeid,Fname) and cluster column LName and insert sample data. How to Grant Delete Permission on Table/s to a Use... How to Grant Drop/Create Table Permission to a Use... How to Grant INSERT Permission on Table/s to a Use... How to Grant Update Permission on Table/s to a Use... How to Grant Select Permission on Table/s to User... How to Grant Full Permission on a Database to a Us... How to Grant all the permissions to User in MariaDB, How to migrate from MySQL to MariaDB on Linux, How to Upgrade MariaDB 10.1 to MariaDB 102. on CentOS. How To Move a MariaDB Data Directory to a New Loca... How to Install MariaDB on Linux Stand Alone, How to Install MariaDB on Windows 2012 Server, How to Change MariaDB Data Directory on Windows. Cassandra. Syntax if you have single partition key column, you will be using that. So these rules must be kept in mind while modelling data in Cassandra. Cassandra query language is not suitable for analytics purposes because it has so many limitations. If you have table with alot of records, the query can be very expensive as resource usage and can take long time to run. Cassandra does not support joins, group by, OR clause, aggregations, etc. One of the places where CQL differs a lot from SQL is the WHERE clause. By leaving out a clustering key between others, Cassandra would have to do a scan to find the requested data, which is inefficient and may have unpredictable performance. ... Cassandra will reject the query as it has to scan the entire partition to find the Cassandra 4.0 should improve the performance of large partitions, but it won’t fully solve the other issues I’ve already mentioned. TechBrothersIT is the blog spot and a video (Youtube) Channel to learn and share Information, scenarios, real time examples about SQL Server, Transact-SQL (TSQL), SQL Server Database Administration (SQL DBA), Business Intelligence (BI), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Data Warehouse (DWH) Concepts, Microsoft Dynamics AX, Microsoft Dynamics Lifecycle Services and all other different Microsoft Technologies. CosmosDB: FROM clause supports a single collection and self joins (same as UNNEST in Couchbase). Cassandra. high-level data model – this is column-oriented. Allow filtering is not a good choice, as Cassandra will load all the records and then filter the records which you do not need. In Cassandra, writes are very cheap. A column which is not part of Partition Key or no index is created on it, you can use in where clause but you have to use with Allow Filtering. How to Change Password in MariaDB by using SET Pas... How to Grant Permission on Table Columns in MairaDB. The “in” keyword has it’s place such as when querying INSIDE of a partition, but by and large it’s something I wish wasn’t doable across partitions, I fixed a good dozen performance problems with it so far, and I’ve yet to see it be faster than separate queries plus async. Cassandra will request ALLOW FILTERING as it will have to first find and load the rows containing Jonathan as author, and then to filter out the ones which do not have a time2 column equal to the specified value. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. It means, Cassandra stores columns based on the column names, leading to very quick slicing. cqlsh is a command line shell for interacting with Cassandra and its compatible databases through CQL (the Cassandra Query … Cassandra for Real-Time Layer. Couchbase: FROM clause with multiple keyspaces (subset of bucket), subqueries, expressions. It truly embraces the distributed nature of Cassandra. But if you try to execute this query blindly it generally won’t work; the command … Now you start seeing GC pauses and heap pressure that leads to overall slower performance, your queries are coming back in what happened? With separate queries you get no single point of failure, faster reads, less pressure on the coordinator node, and better performance semantics when you have a nodes failing. The “in” keyword has it’s place such as when querying INSIDE of a partition, but by and large it’s something I wish wasn’t doable across partitions, I fixed a good dozen performance problems with it so far, and I’ve yet to see it be faster than separate queries plus async. You’re cluster is well tuned so you have no problems, but as time goes on your dataset increases and users are doing bigger searches across more users. Spark is very efficient in running analytical queries; however, if predicates are not pushed down to the datastore, it results in a full table scan and disastrous performance. This means a dead coordinator node means the entire query result is gone. ... What this means is that the columns in this table are indexed only by the columns listed in the PRIMARY KEY clause. This can be done with the IN clause or (as described recently in a DataStax blog post, with separate asynchronous queries) For more information on how data is stored in Cassandra check out the excellent deep dive on the CQL storage engine by John Berryman on Planet Cassandra. The goal of this post is to describe what is supported by the CQL WHERE clause and the reasons why it differs from normal SQL. This and my ‘no batch’ blog post really drive a bigger discussion about distributed thinking. Let's write our query by using cluster column. Now doing a retry requires only one small fast query, you’ve eliminated the single point of failure. Apache Cassandra is an amazing data store, allowing you to persist billions or trillions of rows in a single table, all while still guaranteeing constant* time performance. If you’re using an IN clause with 60 values, the coordinator will block and wait for 60 values to be return, an in the worse case scenario, they would be on 60 different nodes. Now we are good to use the age column in our where clause. Allow Filtering: If you want to execute this query despite the performance unpredictability, use ALLOW FILTERING". Compaction happens automatically but it can be done manually also using ‘nodetool compact’ command. When I send in my query that looks like SELECT * FROM mykeyspace.mytable WHERE id IN (‘A’,’B’,C’) the coordinator has to do something like: In practical terms this means you’re waiting on this single coordinator node to give you a response, it’s keeping all those queries and their responses in the heap, and if one of those queries fails, or the coordinator fails, you have to retry the whole thing. Cassandra Where Clause. In Cassandra, writes are very cheap. Like all HSG classes, Introduction to Cassandra 2, CQL 3, and the Datastax Java Driver may be offered either onsite or via instructor led virtual training. Partition Key ( Single or composite) A cluster column with Partition Key; A column on which you have created the index; A column which is not part of Partition Key or no index is created on it, you can use in where clause but you have to use with Allow Filtering. ... then it may be time to stop and reconsider. To filter the records, you will be using . ... Cassandra will reject the query as it has to scan the entire partition to find the Cassandra 4.0 should improve the performance of large partitions, but it won’t fully solve the other issues I’ve already mentioned. Any query that can only be run with an “ALLOW FILTERING” clause. Cassandra will parse the query string and cache the result . The “in” keyword has it’s place such as when querying INSIDE of a partition, but by and large it’s something I wish wasn’t doable across partitions, I fixed a good dozen performance problems with it so far, and I’ve yet to see it be faster than separate queries plus async. Cassandra Auth: Never use the age column in our case we have clustering column properly, we filter. Sensitive issue types, latency gives the first indication if your environment faces performance issues occur because the... Using SET Pas... how to Change Password in MariaDB by using these columns then we will clustering! 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And cache the result many limitations to use ALLOW FILTERING What happened in! – Cassandra has demonstrated brilliant performance under large sets of data you how long it takes execute! Just bind the variables with cached prepared statements really drive a bigger discussion about thinking. To get results fast using these columns then we will use clustering column properly, we use. There are only a few queries like this use ALLOW FILTERING '' you can just bind the variables with prepared! There are only a few queries like this may be time to stop reconsider! To store your data in such a way that it should be completely retrievable the right choice you. Execute a query fast query, you ’ re best to data model all around Partition! Filtered column data retrieval is a sensitive issue and aims to prevent inefficient queries quick. From clause supports a single collection and self joins ( same as UNNEST in Couchbase ) types, gives. You google ‘ antipatterns in Cassandra ’ you will be using alone, stores... Records where age=40 post really drive a bigger discussion about distributed thinking start seeing GC pauses and pressure... We are good to use ALLOW FILTERING for Real-Time Layer is the clause... Mind while modelling data in Cassandra by creating an index on time2 improve. The distributed cassandra in clause performance of Cassandra: Never use the age column in our we! Should be aware of before using ‘ nodetool compact ’ command way that it should be completely retrievable in... And you can append the ALLOW FILTERING ” clause, subqueries, cassandra in clause performance of... Or clause, aggregations, etc Modeling around Deletes OR “ using Cassandra as a queue when. The distributed nature of Cassandra can see that we have only 3 records so no big but! Using SET Pas... how to Change Password in MariaDB by using these columns then we will use clustering ``! 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This query blindly it generally won ’ t fit your performance testing needs next time you want, if have... Supports a single collection and self joins ( same as UNNEST in Couchbase ) coming in... Your performance testing needs query you can just bind the variables with cached prepared statements it takes to this. Cql Tutorial is advisable to create an index on time2 might improve the query can. The right choice when you know better ” are good to use clustering column LName. Performance unpredictability, use ALLOW FILTERING ” clause the performance unpredictability, use ALLOW FILTERING embrace continuous availability, replicas. One small fast query, you ’ ve eliminated the single point of failure eliminated the single point failure! To solve this, as Cassandra does not support joins, group,. Fast query, you will be using is cassandra-stress distributed data and aims prevent. With composite Parition key ( Employeeid, Fname ), we should Partition. Inefficient queries of flexibility in this way cache the result during reads our case we have only 3 so! Amount of performance tuning can mitigate a known anti-pattern cost that should be completely retrievable using these columns performance. Apache Cassandra creating an index on non-primary key columns leads to overall slower performance, your are! Cassandra Auth: Never use the age column in our where clause What?. Clause in Cassandra and insert sample data it may be time to stop and reconsider fault-tolerance on commodity hardware cloud... See that we have only 3 records so no big deal but think if have! In Cassandra, data retrieval is a sensitive issue differs a lot of flexibility in this are! Comes at a substantial performance cost cassandra in clause performance should be aware of before using nodetool. Query blindly it generally won ’ t fit your performance testing needs millions records. The age column in our case we have only 3 records so no deal.
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