The user supplied array is stored directly proportional relationship

CWE - CWE Improper Validation of Array Index ()

the user supplied array is stored directly proportional relationship

Model::save(array $data = null, boolean $validate = true, array $fieldList = array ())¶ If $fieldList is not supplied, a malicious user can add additional fields to the form .. If successful, the foreign key of the main model will be stored in the related . join table is associated to each model using a hasMany type of relationship. That is, if the caller subsequently modifies this array, the array stored in the object information about defensive copying and problems related to object aliasing online. Security - Array is stored directly The user-supplied array 'palomitas' is. An HDF5 attribute is a user-defined HDF5 structure that provides extra A dataset is stored in a file in two parts: a header and a data array. . The default storage layout format is contiguous, meaning that data is stored in the same linear way that the amount of data is small and can be stored directly in the object header.

That is, verify the minimum as well as the maximum of the range of acceptable values.

Fixing common Java security code violations in Sonar « Only Software matters

Implementation Be especially careful to validate all input when invoking code that crosses language boundaries, such as from an interpreted language to native code. This could create an unexpected interaction between the language boundaries. Ensure that you are not violating any of the expectations of the language with which you are interfacing.

For example, even though Java may not be susceptible to buffer overflows, providing a large argument in a call to native code might trigger an overflow. Architecture and Design; Operation Strategy: Environment Hardening Run your code using the lowest privileges that are required to accomplish the necessary tasks [ REF ].

If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment. For example, database applications rarely need to run as the database administrator, especially in day-to-day operations.

Sandbox or Jail Run the code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which files can be accessed in a particular directory or which commands can be executed by the software.

In general, managed code may provide some protection. FilePermission in the Java SecurityManager allows the software to specify restrictions on file operations.

This may not be a feasible solution, and it only limits the impact to the operating system; the rest of the application may still be subject to compromise.

Be careful to avoid CWE and other weaknesses related to jails. Center store products and other products with longer shelf-lives, on the other hand, offer more opportunities for an optimized flow of inventory in the supply chain. Optimized replenishment of center store products is key to lowering costs in stores and throughout the grocery supply chain. Smart Replenishment for Efficient In-store Goods Handling and More Level Goods Flows Typically, every large grocery retailer replenishes all or at least most of its stores every day from its distribution centers.

This is because fresh products demand frequent deliveries and because the overall inventory flows are substantial enough to warrant daily deliveries.

If all replenishment opportunities are used for all product groups without discretion, two problems will follow: The deliveries to the stores will consist of a random mix of products from several product categories displayed in different parts of the store.

This means that store personnel will spend a significant amount of time moving roll cages around the store to stock shelves see Figure The delivery volumes on different weekdays will not be roughly equal, but rather will reflect the daily variation in sales volume, often with significant delivery peaks towards the end of the week in anticipation of weekend demand. This leads to fluctuating capacity needs in both distribution and stores, which increases costs.

When roll cages contain a large variety of products, store personnel spend a lot of time moving from aisle to aisle while shelving products.

Instead of automatically using all available order or replenishment opportunities for all products, the best practice is to define main replenishment days for longer shelf life products. This means that replenishment of some center store product groups is concentrated to specific weekdays instead of being scattered throughout the week. Replenishment planning, such as the optimization of safety stock and calculation of order quantities, will be based on delivering the goods on the specified main replenishment days.

However, to ensure the highest possible availability, replenishment orders are also triggered for the other available replenishment days to avoid stock-outs if there are unexpected demand peaks. In practice, this means that instead of ordering detergents every day, fast moving detergents are primarily replenished on, for example, Mondays and Thursdays, and slow-moving detergents on Thursdays.

For detergents, the other replenishment days from the distribution center to the store are only used in case there is a risk of stock-out in the store. The use of main replenishment days allows for significantly more efficient in-store replenishment without hampering on-shelf availability. More consolidated deliveries make it more efficient for store personnel to replenish store shelves, especially when the main replenishment days are set based on what product categories are displayed in the same aisle or zone of a store.

In addition to creating more consolidated deliveries, main replenishment days enable leveling out inventory volumes between weekdays. In many stores, weekends can be very busy, with lots of customers doing their weekly shopping while large quantities of fresh products are being delivered to the stores. Setting main replenishment days for center store products to the quieter weekdays balances the incoming goods flow and makes personnel planning in the stores easier.

the user supplied array is stored directly proportional relationship

As with many other processes, the use of main replenishment days can be further optimized when the basics are in place. For stores that have higher footfall on weekends, additional capacity management may be beneficial.

If several main replenishment days are in use, the one closest to the weekend tends to get most of the volume. To further level out the inventory flow, best-in-class retail planning systems can look at projected orders for an upcoming week, identify if there are undesired peaks in inventory volumes, and automatically move some of the replenishment volumes to quieter days.

Space-aware Replenishment for Efficient Goods Handling Food retailers have traditionally operated in a very siloed manner with very little communication between the merchandizing teams responsible for store planograms, the supply chain teams responsible for store replenishment, and the store operations teams responsible for in-store work processes.

The space allocated to each product in a store has a big impact on both the results and costs of the store replenishment process: If the allocated space is very large in comparison to demand, the inventory needed for ensuring optimal on-shelf availability will not be sufficient for maintaining a visually appealing, full display.

For that purpose, additional visual minimums need to be defined. Visual minimums indicate how many units of a product need to be on the shelf to ensure that the display is visually appealing. For slow-sellers, the visual minimums will always be higher than the inventory levels required for great on-shelf availability. For long shelf life products this may not be a problem, but for fresh products, excessive visual minimums may cause unnecessary spoilage.

If the allocated space is small in comparison to demand, incoming deliveries will not fit on the shelf. At least part of the delivered quantity will need to be placed in a backroom or other storage area. This significantly increases the cost of shelf stacking, as goods need to be moved back and forth between the sales area and the backroom. In addition, the use of backroom storage significantly increases the risk of empty shelves, as timely replenishment from the backroom is dependent on the vigilance of store personnel.

Although surprisingly rare, full integration between space and replenishment planning is an important best practice for increased operational efficiency: Access to planogram data makes it easy to automate the maintenance of visual minimums on the product-store level based on the number of facings or total shelf space allocated to each product in each store.

Access to planogram data makes it easy to automatically trim replenishment orders that would cause incoming deliveries not to fit on the shelf. Usually this rule needs to be balanced with the risk of stock-outs if the space allocated to some products is very small in relation to their demand.

Access to floor plan information enables assigning main replenishment days based on where in the store products are displayed, with the aim of creating more focused deliveries that minimize the need for store personnel to unnecessarily move around the store when stacking shelves. Access to planogram information makes it possible to plan replenishment so that shelves are filled up to the maximum each time a delivery comes in, minimizing shelving work in stores.

This means that rather than getting two batches in one go, if there is space for a third one that would be delivered next week, the order is calculated to fill the assigned shelf space upon arrival.

The space assigned to each product is of vital importance to how efficiently the replenishment process can fucntion, so it is important to deliver continuous feedback to merchandizing. Good analytics tools will help you identify products and stores where there is a mismatch between space and sales, i. Ideally, space planning should always be based on the detailed store, product and day-level forecasts as well as information on replenishment cycles and main replenishment days available from replenishment planning: By using the accurate forecasts rather than looking at historical sales data when optimizing how space is allocated to products, it is much easier for the space planning team to take seasonality and trends into account.

Based on good forecasts of the expected maximum sales per delivery interval, shelf space can be optimized to be truly efficient for all products in a store on all weekdays.

Best Practices for Managing Grocery Retail Supply Chains

This kind of optimization makes it possible to attain fewer deliveries and direct-to-shelf flows for a much bigger proportion of the product range. Dynamic Pack Sizes to Meet Dynamic Demand One powerful tool to increase store replenishment efficiency is to optimize the use of different pack sizes. In many cases, stores can choose to order case packs, pallet layers or full pallets from the distribution center. Larger batches are more efficient to handle both in the stores and at the distribution centers, but clearly the deliveries need to match the available space and demand in the stores.

Otherwise inventory will pile up in the stores and reduce rather than increase efficiency by congesting back rooms and causing multiple trips between the backroom and shop floor to replenish shelves. Especially for retailers operating stores of different sizes, optimizing replenishment pack sizes per product and store has a direct impact on handling costs. However, doing it only once as a concerted effort does not suffice as demand changes over time and, for some products, also with the seasons.

During the high season, a pallet might be most efficient while outside the peak, smaller case packs may be more efficient. The retail planning system needs to be able to automatically optimize which pack size to use per product, store and order. This means that whenever an order is placed, the system always checks all available pack sizes—typically varying from the case pack to full pallets—and selects the most efficient pack size in relation to forecasted demand.

To attain the full efficiency gain, the supplying warehouses need to be able to estimate the demand for the different pack sizes. Otherwise they may end up in a situation where they use individual packs to put together pallets for the stores, rather than having full pallets flow through the distribution system. This is possible when the store projections see Section 6. An Integrated Supply Chain Driven by Customer Demand Traditionally, store replenishment and inventory management at the regional distribution centers or central warehouses have been separate processes, driven by separate demand forecasts.

This is akin to driving a car while looking at the rearview mirror. Granted, this is a better approach than only looking at outbound deliveries.

User Input for an Array with Example in Java Programming

There are, however, some important disadvantages to using store demand forecasts to drive planning at the distribution centers: Goods need to be delivered to the stores before the stores can sell them.

The result is that it is almost impossible to accurately account for the difference in timing, which is bad news for your forecast accuracy at the distribution centers. The promotion, thus, causes a much bigger demand peak at the distribution center than in the stores. It is quite ironic that many of the situations considered most difficult to tackle in the distribution centers, such as building up stock in stores for promotions or new product introductions, are situations fully in the hands of the retailers themselves.

To achieve seamless integration of store and distribution planning, the planning system needs to be able to calculate projected store orders per product, store and day several months or even a year into the future, reflecting current and known future replenishment parameters as well as the demand forecast. These calculations, of course, require significant data processing capacitywhich is likely to be one explanation for the surprisingly low adoption rates.

An integrated supply chain is driven by consumer demand, taking all known factors such as delivery schedules, on-hand inventory and pack sizes into account. The shipment plan for the distribution centers consists of projected store orders as well as demand forecasts for potential direct-to-customer inventory flows, such as online orders picked at the distribution center.

Table 1 presents some examples of situations in which the value of basing forecasting at the distribution centers on projected store orders is especially notable.

When the order projections are aggregated across all stores, they form a very accurate, customer-driven forecast for the distribution centers. Additional benefits of the supply chain integration include supply chain transparency supporting capacity planning, supplier collaboration discussed in Section 6. Product introductions When launching a new product, at least one case pack or a sufficient amount of product to fill up the allocated shelf space is pushed out to each store.

This creates inventory buffers in the stores, which will take days or weeks to digest. As long as there is surplus inventory in the stores, the projected store orders as well as the actual outflow from the distribution centers will be lower than forecasted consumer demand. Product terminations When a product termination has been planned in advance, the distribution center forecast will automatically go down as the termination date draws closer, supporting a controlled ramp-down of inventory.

When the distribution center forecast is based on projected store orders, the forecast automatically considers the existing inventory buffers in the stores and accurately estimates how long it will take to clear out the remaining stock in each store.

The good news is that these planned inventory movements are completely predictable as they are in fact planned, with no need for forecasting and will automatically be included in the projected store orders. Seasons Almost always, some buffer stock is distributed to the stores before the start of a major season. This can be due to the need to create nice seasonal displays in the stores, level out seasonal peak volumes, or due to the season being weather-driven making the exact timing of the season start somewhat uncertain.

This will be automatically visible in the forecast for the distribution center. Changes in replenishment schedules It is not uncommon that stores replenishment schedules are changed either temporarily, for example to match increased demand in the high season, or permanently, for example following the implementation of new transportation routes.

Changes in the replenishment schedule will, naturally, not have an impact on consumer demand but they will have a direct impact on the goods flow into the stores. The resulting changes in the timing and size of the deliveries to the stores will automatically be captured in the distribution center forecast when it is based on projected store orders.

To reap the full benefits of this transparency, all planning data needs to be made available to the planning system as soon as a promotion plan, assortment change, price change, or any other relevant decision has been made.

A planning system that supports time-dependent master data is a key enabler of proactive planning.

the user supplied array is stored directly proportional relationship

Below are just a few examples of how time-dependent master data enables you to register valuable information immediately when it becomes available. This, in turn, allows your replenishment planners to rely on the planning system to automatically trigger the necessary actions at the right time with very little manual work.

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When store replenishment schedules can be managed using dates, it becomes possible to update the planned future replenishment schedules into your planning system as soon as the information becomes available. This enables replenishment planners to trust the planning system to automatically consider these changes both in replenishment planning and when calculating supply chain projections. Assortment activation and termination dates: When start and end dates for the active product range have been defined, product ramp-ups and ramp-downs are much easier to manage.

Routine planning tasks, such as pipeline fills for new products or inventory ramp-downs for products to be discontinued, can be automated. Promotions naturally have start and end dates, but it is equally important to be able to specify beforehand how stores should be stocked.

It is usually ideal to define how many days before the promotion the promotional goods should arrive in the stores, what stock quantities stores should receive to be able to build the planned promotional displays, and what proportion of the forecasted promotional demand the first deliveries should cover. Rules and templates make it possible to attain accurate replenishment plans for each store and product without manual work. Temporary supplier delivery restrictions: Suppliers may have temporary delivery restrictions.

Chinese manufacturers may, for example, not dispatch shipments during the Chinese New Year. If information like this is made available to the planning system, the system knows to put in orders for this period early enough to ensure high availability during the affected period, while minimizing manual work and dependence on human memory. An integrated supply chain set-up removes the need for double-planning work.

The impacts of planned changes in store replenishment are automatically reflected in the projected store orders forming the demand forecast for the distribution centers. This means that as soon as the required store stock-ups for promotions are planned, they will be visible in the distribution center forecast on the right dates and in the right quantities. Of course, having the right functionality in your planning system is a key enabler, but the real challenge is getting the whole organization to work more proactively.

Ensuring that decisions are made early enough, but not too early to unnecessarily reduce flexibility in a dynamic market, requires that everyone in the organization has a basic understanding of how the supply chain works and what the relevant lead times for different types of decisions are.

Multi-echelon Optimization of Goods Flows An integrated supply chain makes it possible to manage multi-echelon inventory flows efficiently, with minimum waste and a high level of automation. When all data on demand forecasts, available stock, delivery schedules, lead times and batch sizes for all supply chain echelons is available in the same planning system, it enables seamless optimization of inventory flows throughout the supply chain.

Cross-docking is an inventory strategy aimed at maximizing transportation efficiency while minimizing handling costs. Cross-docking is often applied to bulky products, such as drinks, to attain lower storage and handling costs. It can also be used to cut lead-times for short shelf life products.

In a cross-docking set-up, goods are delivered from the supplier to a cross-docking facility where the goods are put not into storage, but moved from the inbound truck to an outbound truck for distribution to stores. There are some requirements for cross-docking to work efficiently: The planning system, thus, needs to optimize both inbound and outbound flows to and from the cross-docking facilities as well as understand the total lead time from supplier to store.

Another example of an inventory policy that requires integrated supply chain planning is pick-to-zero. However, rather than fixing the quantities to be delivered to each store, the supplier delivery is reallocated to the stores upon receipt based on the latest inventory and forecast information.

This allows for adjusting the delivery quantities per store in case the supplier could not deliver in full or in response to potential unexpected demand peaks in the stores after the original replenishment need was calculated. As a result, supply matches demand more accurately than when using the traditional cross-docking approach. The data from the row of a query result can be placed into one of three constructs: In the last step we have created an array.

You might have browsed through repos on GitHub or read articles on how to implement a feature The Associative Array. I'm not sure why I never thought of doing that before I've chained function tons of times in other languagesbut by fetching an object instead of an associative array as I usually do, it's simple to grab a single value from a MySQL database. If a property have not been assigned a value, it will be returned with a NULL value.

I'm trying to remove single objects from a json array, but when I attempt to delete the DOM object rectangle each of which represents an array objectthen process. Kids these days, I tell ya. If a property has not been assigned a value, it will be returned with a NULL value.

In JavaScript, array values can be all of the above, plus any other valid JavaScript expression, including functions, dates, and undefined. Many of our valued users post comments along with piece of code. One thing to point out is that, in C the count of an array is not in its type.

This tutorial is designed for beginners to advanced developers. An array is a data structure that stores one or more similar type of values in a single value.

the user supplied array is stored directly proportional relationship

It's nice but how you can use the data in the array. One way is to use array, but this requires quoting all keys. I am trying to create a dynamic drop-down menu that is populated from a multidimensional array. You can't just do it directly with the reference of the object array. A list of object arrays is a poor choice to store items in. Not the fastest way, but you could do it as follows: Disqus may, false positively, consider those piece of code as Bad or Starnge syntax and send those comments to spam automatically.

The three int arguments specify the starting position in the source array, the starting position in the destination array, and the number of array elements to copy. Now, manipulating this object can be sometime painful.

If you ever need to change an Object into an Array, then use the array type casting function. The real reason is Flex compiler does not include the classes into SWF unless they are explicitly referenced in the code. The property index is the position at which the property's definition appears in the model in this case the xml schema. There are three different kind of arrays and each array value is accessed As of jQuery 1.

The remainder of this article will demonstrate how to send objects and arrays for jQuery versions lower than 1. Don't use it otherwise. There are different ways to create a copy of an object; the following is just one way and is presented to explain how Array. If you were observant enough, you might also have learnt that PHP is a very badly designed programming language. Parameter must be an array or an object that implements Countable in C: Another way is to use dynamic properties on an instance of StdClass.

PHP Forums on Bytes.

the user supplied array is stored directly proportional relationship

These structures can be nested. Often it is required to get the records retrieved in an SQL fetch into a recordset to an array. Recently I was curious about the performance in terms of access and assignment time between class static attributes, object attributes, and array elements. How to get the size of an object in JavaScript. The goal was to sort the author list by number of posts before outputting the list.

Common Weakness Enumeration

StdClass is a sparsely documented class in PHP which has no predefined members. Next, since a stack usually holds a bunch of items with the same type e. Classes or object oriented OO programming are sometimes seen as behemoths of satan, but actually they're easy. In your php applications you may find many circumstances where it is needed to convert an object into an array and an array into an object. It is not important which sollution you choose the result is the same.

PHP has in-built serialize and unserialize methods for serialize and deserialize object. If no matching rows are found, or if there is a database error, the return value will be an empty array. The array's object properties and list of array elements are separate, and the array's traversal and mutation operations cannot be applied to these named properties. The [[Get]] method of an Array is no different from the [[Get]] method of Object — hence you access array members just as you would access any object property However the [[Put]] method of an Array is specialized and this is what makes an array unique.

Do your operations on that array, then instantiate a new ArrayObject, passing it the array. Access the database, and fill an array with the requested data. Hello, I have a dynamically generated array which has data like following: The following problem is to get the 'object stdClass ' of this array, how can I get the value of it?

Every element in array has a unique index value. It determines how many elements will be removed, and also is the length of the array returned. Accessing array elements JavaScript arrays are zero-indexed: Outputs an object rather than an array when a non-associative array is used.

Note that total element is 1 plus the highest index. To access an array or object you how to use two different operators. In JSON, array values must be of type string, number, object, array, boolean or null.

Our array myFixedArray has four positions: PHP's associative arrays are an easy to See also. In this article, you have learnt how to check if an object is of a particular type, and to get the type of an object in PHP. Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world. Below is the code that is to be placed into the PHP script. If an array of objects is provided, then public properties can be directly pulled.