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Selecting a KP Gear Pump instead of another gear pump should be based on the hydraulic system rather than the product name alone. External gear pumps share a basic operating concept, but housing construction, internal components, installation requirements, fluid compatibility, and application preferences can differ. A structured comparison can help buyers make a more suitable decision.
The basic external gear design contains two meshing gears.
One gear drives the other while fluid is transported around the outer area of the gear set.
This creates a practical method of moving hydraulic fluid through the pump.
KP products use this general arrangement and are designed for hydraulic machinery applications.
The exact performance depends on the individual product design and operating environment.
A pump housing protects the internal mechanism and supports the connection with the hydraulic system.
Inside the housing, gears, shafts, bearings, and seals work together.
KP products use compact and robust housing designs, while ordinary gear pumps can have different structural approaches depending on the manufacturer.
Buyers should compare material, mounting structure, connection arrangement, and component configuration before ordering.
External gear pumps can provide relatively stable fluid delivery.
At the same time, operating noise and pulsation can vary according to product design and system conditions.
This makes application assessment important.
If the equipment requires a particular operating environment, customers should communicate these requirements before selecting a pump.
Installation compatibility is an important purchasing factor.
The pump must connect correctly with the hydraulic circuit and mechanical drive.
Mounting position, shaft configuration, inlet and outlet arrangement, and available space should all be reviewed.
A pump that cannot be integrated correctly may create unnecessary installation difficulties even if its basic pumping principle is suitable.
The relatively simple construction of gear pumps can support practical maintenance.
Users can monitor hydraulic fluid condition, sealing areas, bearings, connections, and internal wear.
KP products are also described as relatively straightforward to maintain.
Proper maintenance can help protect the pump from problems associated with contamination, unsuitable operation, or component wear.
KP products are associated with industrial machinery, mobile equipment, agricultural vehicles, and material handling machinery.
Other gear pumps can also serve these markets, depending on their design.
The correct choice should therefore be determined by the machine's hydraulic requirements and operating environment.
A useful comparison should include structure, fluid compatibility, installation, maintenance, operating characteristics, and intended application.
Customers can then discuss these requirements with a supplier before placing an order.
For buyers seeking hydraulic gear pumps and related machinery components, Xianju Liming Machinery Co., Ltd. provides further product information and a convenient route for exploring suitable solutions.
A Pressure Control Factory can provide a variety of products for customers working with pumps and water management systems. Pressure switches and automatic water pump controllers are two important categories, each designed to support controlled equipment operation. Understanding their general purposes can help purchasers, distributors, and installers compare options before selecting components for a specific application.
Pressure switches are used where system pressure is an important part of equipment operation.
The device can respond to changes within the system according to its intended design and help coordinate the activity of connected equipment.
When choosing a switch, customers should consider the type of pump and the wider installation.
The connection arrangement, environment, and control requirements can all affect product suitability.
A clear understanding of these details can make supplier communication easier.
Automatic water pump controllers are designed to help manage pump operation with less manual intervention.
They can be relevant to users who want a convenient way to coordinate water supply equipment.
The controller should be selected according to the complete system. Compatibility between the product and pump is an important consideration.
Installation instructions and electrical requirements should also be reviewed before fitting.
Planning these details in advance can help create a smoother installation process.
Pressure-related control products can be used in a variety of environments.
Residential supply is one possible application. Garden irrigation, agricultural water arrangements, building services, and commercial systems may also use suitable control equipment.
Each system has its own characteristics.
For this reason, buyers should explain their application rather than simply requesting a general product.
The more clearly the intended use is understood, the easier it can be to identify an appropriate solution.
Manufacturing involves the coordination of product design, component preparation, assembly, inspection, and packaging.
Attention to each stage can help support consistent production.
For buyers, clear product information and responsive communication can make procurement easier.
A supplier that understands the application can also help customers compare available product categories.
This is useful for distributors who need to match products with different customer requirements.
The choice between a pressure switch and an automatic controller depends on the intended function.
Some systems may require a straightforward pressure-responsive component. Others may benefit from an automatic management product.
There is no universal choice for every water installation.
Buyers should consider the equipment arrangement and desired operation before deciding.
This application-based approach can help create a more practical purchasing process.
Before contacting a manufacturer, customers can prepare basic information about their pump and intended use.
Details about installation conditions and system requirements can help the supplier provide more relevant product information.
This can save time during comparison and ordering.
For customers seeking additional information about pressure switches, automatic controllers, and pump-related control products, Zhejiang Monro M&E Co., Ltd. is available for further product exploration and inquiries.
Hi i have this result :
| itemcode | distnumber | onhandqty |
| 1800000038 | 127-07 | 952.540000 |
| 1800000038 | 127-08 | 952.540000 |
| 1800000038 | 127-09 | 952.540000 |
| 1800000038 | 127-10 | 952.540000 |
| 1800000038 | 127-13 | 952.540000 |
| 1800000038 | 127-14 | 952.540000 |
| 1800000038 | 127-15 | 952.540000 |
| 1800000038 | 127-16 | 952.540000 |
| 1800000038 | 127-17 | 952.540000 |
| 1800000038 | 127-18 | 952.540000 |
| 1800000038 | 127-19 | 952.540000 |
| 1800000038 | 127-20 | 952.540000 |
| 1800000038 | 128-01 | 952.540000 |
| 1800000038 | 128-02 | 952.540000 |
| 1800000038 | 128-03 | 952.540000 |
| 1800000038 | 128-04 | 952.540000 |
| 1800000038 | 128-05 | 952.540000 |
| 1800000038 | 128-06 | 952.540000 |
| 1800000038 | 128-07 | 952.540000 |
| 1800000038 | 128-08 | 952.540000 |
| 1800000038 | 128-09 | 952.540000 |
| 1800000038 | 128-10 | 952.540000 |
| 1800000038 | 128-11 | 952.540000 |
| 1800000038 | 128-12 | 952.540000 |
| 1800000038 | 128-13 | 952.540000 |
| 1800000038 | 128-14 | 952.540000 |
| 1800000038 | 128-15 | 952.540000 |
| 1800000038 | 128-16 | 952.540000 |
| 1800000038 | 128-17 | 952.540000 |
| 1800000038 | 128-18 | 952.540000 |
| 1800000038 | 128-19 | 952.540000 |
| 1800000038 | 128-20 | 952.540000 |
| 1800000040 | 132-35 | 400.000000 |
| 1800000040 | 132-36 | 400.000000 |
| 1800000040 | 132-37 | 400.000000 |
| 1800000040 | 132-38 | 400.000000 |
| 1800000040 | 132-39 | 400.000000 |
| 1800000040 | 132-40 | 400.000000 |
| 1800000040 | 133-01 | 400.000000 |
| 1800000040 | 133-02 | 400.000000 |
| 1800000040 | 133-03 | 400.000000 |
| 1800000040 | 133-04 | 400.000000 |
| 1800000040 | 133-05 | 400.000000 |
| 1800000040 | 133-06 | 400.000000 |
| 1800000040 | 133-07 | 400.000000 |
| 1800000040 | 133-08 | 400.000000 |
| 1800000040 | 133-09 | 400.000000 |
| 1800000040 | 133-10 | 400.000000 |
| 1800000040 | 133-11 | 400.000000 |
| 1800000040 | 133-12 | 400.000000 |
| 1800000040 | 133-13 | 400.000000 |
| 1800000040 | 133-14 | 400.000000 |
| 1800000040 | 133-15 | 400.000000 |
| 1800000040 | 133-16 | 400.000000 |
| 1800000040 | 133-17 | 400.000000 |
| 1800000040 | 133-18 | 400.000000 |
| 1800000040 | 133-19 | 400.000000 |
| 1800000040 | 133-20 | 400.000000 |
| 1800000040 | 133-21 | 400.000000 |
| 1800000040 | 133-22 | 400.000000 |
| 1800000040 | 133-23 | 400.000000 |
| 1800000040 | 133-24 | 400.000000 |
| 1800000040 | 133-25 | 400.000000 |
| 1800000040 | 133-26 | 400.000000 |
| 1800000040 | 133-27 | 400.000000 |
| 1800000040 | 133-28 | 400.000000 |
| 1800000040 | 133-29 | 400.000000 |
| 1800000040 | 133-30 | 400.000000 |
| 1800000040 | 133-31 | 400.000000 |
| 1800000040 | 133-32 | 400.000000 |
| 1800000040 | 133-33 | 400.000000 |
| 1800000040 | 133-34 | 400.000000 |
| 1800000040 | 133-35 | 400.000000 |
| 1800000040 | 133-36 | 400.000000 |
| 1800000040 | 133-37 | 400.000000 |
| 1800000040 | 133-38 | 400.000000 |
| 1800000040 | 133-39 | 400.000000 |
| 1800000040 | 133-40 | 400.000000 |
i want only a résult by item code with only the min of the three first number of distnumber and a count of this condition so the result is :
into my table graphic i use
first colum = dimension
second : Min( SubField(distnumber, '-', 1) ) (take only the min of the distnumber)
last colum :count(
{<
distnumber = {"*$(=Aggr(Min(Left(distnumber,3))), U_CapacItemcode)*"}
>} distnumber
)
i have this result (no correct, the correct is 12 for the O-71 (1800000038) , here is the total of the distnumber 127 and 128 of the 1800000038 (O-71)
this is the correct result how to have the good résult ? thanks
| 1800000038 | 127 | 12 |
| 1800000040 | 132 | 6 |
Hi,
I got the following request from the business:
for each Material Group, how many of the last 6 days had a complaint count greater than the Material Group’s rolling 12-month average + standard deviation.
My current measure is:
Count(
{<
[Complaint Open Date] =
{">=$(vLast6Days)<=$(vMaxComplainDate)"}
>}
Aggr(
If(
Count(
Distinct
{<
[Classification 1] = {'Contact Complaint'}
>}
[Complaint Number]
)
= $(vAvgAndStdevCompGeneral),
1
),
[Complaint Open Date]
)
)The variable vAvgAndStdevCompGeneral is currently:
(
(
Aggr(
Count(
Distinct
{<
[Classification 1] = {'Contact Complaint'}
>}
[Complaint Number]
),
[Material Group Code]
)
)
/
Count(
{<
[Material Group Code] =,
[Material Group] =
>}
Distinct [Complaint Open Date]
)
)
+
Stdev(
Aggr(
Count(
{<
[Classification 1] = {'Contact Complaint'},
COMP_isWorkingDay = {'1'}
>}
[Complaint Number]
),
[Complaint Open Date]
)
)The measure works when I select one Material Group, but not when Material Group is used as a dimension in a table.
I now also need the average to be based on a rolling 12-month period, while the final count should still evaluate only the last 6 days.
How should I modify the expression so that the calculation works independently for every Material Group in the table?
Thx
Our vender informs us the IP address for the SSH Host had been changed and we need to update to a new IP address. Nothing else has been changed.
In the configure your PostgreSQL Integration UI.
I updated the IP in SSH Host -> click update settings but nothing happened (no error messages in the front end).
We find status code 400 Bad Request and the following error message in the Chrome's dev mode under "Network".
However, we are not an expert in this area. What could be the issues? Vendor confirmed all the information we enter are correct.
{
"error": "LocalUriProperties",
"data": {
"message": "one or more properties could not be resolved to an address",
"bad_properties": [
"host"
],
"report_card": {
"type": "platform.hp-postgres",
"current_step": 2,
"current_step_type": "fully_configured",
"steps": [
{
"type": "form",
"properties": [
{
"name": "accumulator_size",
"value": "[REDACTED]"
},
{
"name": "anchor_time",
"value": "[REDACTED]"
},
{
"name": "cron_expression",
"value": "[REDACTED]"
},
{
"name": "dbname",
"value": "[REDACTED]"
},
{
"name": "default_replication_method",
"value": "[REDACTED]"
},
{
"name": "filter_dbs",
"value": "[REDACTED]"
},
{
"name": "frequency_in_minutes",
"value": "[REDACTED]"
},
{
"name": "host",
"tap_mutable": false,
"property_type": "user_provided",
"system_provided": false,
"clonable": true,
"json_schema": {
"type": "string",
"anyOf": [
{
"format": "hostname"
},
{
"format": "ipv4"
},
{
"pattern": "^(?:[a-zA-Z0-9](?:[a-zA-Z0-9-]*[a-zA-Z0-9])?\\.)*[a-zA-Z0-9](?:[a-zA-Z0-9-]*[a-zA-Z0-9])?$"
}
]
},
"is_credential": false,
"provided": false
},
},
{
"name": "image_version",
"value": "[REDACTED]"
},
{
"name": "include_schemas_in_destination_stream_name",
"value": "[REDACTED]"
},
{
"name": "incremental_limit",
"value": "[REDACTED]"
},
{
"name": "itersize",
"value": "[REDACTED]"
},
{
"name": "logical_poll_total_seconds",
"value": "[REDACTED]"
},
{
"name": "password",
"value": "[REDACTED]"
},
{
"name": "port",
"value": "[REDACTED]"
},
{
"name": "replication_slot_name",
"value": "[REDACTED]"
},
{
"name": "socket_timeout",
"value": "[REDACTED]"
},
{
"name": "ssh",
"value": "[REDACTED]"
},
{
"name": "ssh_host",
"value": "[REDACTED]"
},
{
"name": "ssh_port",
"value": "[REDACTED]"
},
{
"name": "ssh_user",
"value": "[REDACTED]"
},
{
"name": "ssl",
"value": "[REDACTED]"
},
{
"name": "user",
"value": "[REDACTED]"
},
{
"name": "use_log_based_replication",
"value": "[REDACTED]"
}
]
},
{
"type": "discover_schema",
"properties": []
},
{
"type": "field_selection",
"properties": []
},
{
"type": "fully_configured",
"properties": []
}
]
}
}
}
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💚Obrigado por fazerem parte do Qlik Locals – Maceió! 🚀
Mais uma edição concluída — e que experiência incrível!
Gostaríamos de agradecer a todos que participaram do Qlik Locals – Maceió #04, reservaram um espaço na agenda para estar conosco, acompanharam as palestras, participaram das conversas e contribuíram para tornar este encontro tão especial.
Foi muito bom ver nossa comunidade reunida novamente, compartilhando experiências e discutindo temas que já estão transformando a forma como trabalhamos com dados e inteligência artificial, como MCP, LLMs, governança, dados preparados para IA e novas experiências de Analytics.
Um agradecimento especial aos nossos palestrantes, convidados da mesa-redonda, parceiros e a todos que contribuíram para a realização do evento. Cada apresentação, pergunta, conversa e troca de experiência ajudou a construir o que o Qlik Locals realmente representa: uma comunidade feita por pessoas que acreditam no poder dos dados e, principalmente, no poder de compartilhar conhecimento.
Também foi um prazer receber tantos de vocês no estande da Qlik durante o RogaDX 2026, participando das nossas atividades e aproveitando mais um espaço para conversar, aprender e criar novas conexões.
E, para quem participou pela primeira vez: seja muito bem-vindo à nossa comunidade! 💚
Muito obrigado a todos que fizeram parte desta edição. Nos vemos no próximo Qlik Locals – Maceió! 🚀💚
Ps.: Em breve estaremos postando aqui todas fotos oficiais do nosso evento, fiquem de olho 👀
#Qlik #QlikLocals #QlikCommunity #RogaDX2026 #Maceió #Analytics #ArtificialIntelligence #MCP #LLM #DataGovernance #AIReadyData
This week, we will discuss how leaders can create opportunities for their teams to learn, experiment, and grow. We’ll explore the top skills to focus on when building or developing a team and share strategies for fostering adaptability and resilience in the face of shifting priorities.
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Share your thoughts in the comments. What opportunities can leaders create to help teams learn, experiment, and grow?
I have a database table with the table_name, columns(list of all columns),old_value(for each dynamic column),new_value(for each dynamic column) of an entire database. I would like to create a dynamic table of based on the table_name the user picks and populate the table with dynamic fields based on the names of the fields in the columns list and have the old and new values for each field. I can show the users the three lists but it is hard to review as there can be 3 to 21 fields based on the table's name they pick to view. What would a loader script look like to do this as each table's fields and values are dymamic based on the lists found in the database columns
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