lsi | LSI Corporation LSIUtil configuration utility and MegaCLI
kandi X-RAY | lsi Summary
kandi X-RAY | lsi Summary
This project contains relevant files that are needed to build Debian packages for the LSI Corporation LSIUtil configuration utility and MegaCLI SAS RAID Management Toolwith the help of Effing Package Management (FPM) project and utilities.
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QUESTION
I am new to pynamodb and I'm trying to query on LSI (already defined in dynamodb main table) and getting the following Exception.
...ANSWER
Answered 2022-Mar-17 at 05:45So basically, when defining LSI Model in pynamodb, please make sure the Meta class attribute names are the same as mentioned in the doc - https://pynamodb.readthedocs.io/en/latest/indexes.html
In the above instance, I did the following mistake due to which I was getting ValueError('table table_4 doesn't have key1_index') Exception.
In MetaClass of LSI_Model Class, I used the wrong attribute name 'index' instead of 'index_name'. I have updated the code and now it works fine.
QUESTION
I am trying to use the output compare mode of TIMER1 to produce an accurate time course on the PE9 pin. For some reason I don't get an output signal on this pin. Instead, when I use TIMER3 with the same settings as TIMER1, I get an output signal on pin PC7.
What is the reason for this? What can I change to also get the output signal from TIMER1?
...ANSWER
Answered 2022-Mar-02 at 13:59I'm not familiar with HAL libraries but the first possible cause comes to my mind is MOE bit of TIMx_BDTR register. Only TIM1 & TIM8 have this bit (and register) and it needs to be set to get output from pins.
Please try this function, which basically just sets the MOE bit:
QUESTION
I am new to using LSI with Python and Gensim + Scikit-learn tools. I was able to achieve topic modeling on a corpus using LSI from both the Scikit-learn and Gensim libraries, however, when using the Gensim approach I was not able to display a list of documents to topic mapping.
Here is my work using Scikit-learn LSI where I successfully displayed document to topic mapping:
...ANSWER
Answered 2022-Feb-22 at 19:27In order to get the representation of a document (represented as a bag-of-words) from a trained LsiModel
as a vector of topics, you use Python dict-style bracket-accessing (model[bow]
).
For example, to get the topics for the 1st item in your training data, you can use:
QUESTION
I'm trying to understand what really AWS DynamoDB behaviour is. When I create a Local Secondary Index (LSI) for the table, documentation says, that there is 10 GB limit for the item collection. Docs
What does it really means?
Let's say my data is partitioned across 3 partitions, so questions are:
- each partition will have 10GB limit for LSI or in general across all partitions?
- If i reached a limit, let's say, I continue to write data to the table, that means that data will be in the table, but not seen by LSI? Or how? I understand it that in general data will be available in the table, but if I will query by LSI it will show me just old items, that we succeed to write before reached a limit, but if I will scan all table - I will see all items (old and new)? Right?
Will appreciate for any help Thanks
Possible answer:
This post helped me to understand If items with the same partition key exceeds 10GB, how would LSI works?
It will raise exception in case we will reach a limit of 10GB for specific item collection(any group of items that have the same partition key value in a table and all of its local secondary indexes).
So if amount of items with specific partition key is not that big - you are save to use LSI.
...ANSWER
Answered 2022-Feb-15 at 15:10You are misreading the docs...
The Item Collection Size Limit applies to the table itself...
The maximum size of any item collection is 10 GB. This limit does not apply to tables without local secondary indexes. Only tables that have one or more local secondary indexes are affected.
So if you have a table with an LSI, then you can not have more than 10GB for any given partition key in the table.
If you have lots of data, paying to have a GSI with the same partition key as the table but a different sort key instead of a free LSI if needed is a solution.
QUESTION
I'm having trouble understanding an error message I'm getting from my GEKKO model.
For context, this model is supposed to optimize the gas spring force and dimension parameters of a gas-spring assisted door to minimize the operator force required to close the door. My intent is to calculate the required force at a series of angles between 0 and 90 degrees, then sum the absolute value of the force at all angles and minimize that value. There is also a constraint on the gas spring length so the optimization doesn't come up with unrealistic dimension parameters. I've defined the force and other values that need to be computed at each angle as lists of Intermediate variables.
The error appears to be related to one of these lists of Intermediate variables, but I don't know how to interpret "Position: 2" in the error message, let alone "Error in syntax of function string". I've searched in some other answers on here, but I haven't found a clear answer on how to use this position information to troubleshoot the model. What is the message trying to tell me?
...ANSWER
Answered 2022-Jan-15 at 05:44One way to locate the error is to open the run directory and inspect the text model file gk_model0.apm
.
QUESTION
private fun getData(){
firestore.collection("Posts").addSnapshotListener { value, error ->
if (error!=null){
Toast.makeText(requireContext(),error.localizedMessage,Toast.LENGTH_SHORT).show()
}else{
if (value !=null){
if (!value.isEmpty){
val documents = value.documents
for (document in documents){
val pc = document.get("Panel Sayisi") as String
val ps = document.get("Panel Boyutu") as String
val ls = document.get("Arazi Eğimi") as String
val lsi = document.get("Arazi Boyutu") as String
val c = document.get("Şehir") as String
val post = Post(pc,ps,ls,lsi,c)
postArrayList.add(post)
}
}
}
}
val db = FirebaseFirestore.getInstance()
db.collection("Posts").orderBy("Panel Sayisi",Query.Direction.DESCENDING).limit(1)
.get()
.addOnCompleteListener {
val result : StringBuffer = StringBuffer()
if (it.isSuccessful){
for (document in it.result){
result.append(document.data.getValue("Panel Sayisi"))
}
verimText.setText(result)
}
}
}
}
...ANSWER
Answered 2021-Dec-27 at 11:46When you are using the following call to:
QUESTION
Team,
I'm trying to create a measure so I can pull over our Maintenance and repairs by % of revenue:
Z - Maint/Repairs % = sum('LSI DP_JP_HistorySummaryBySiteMaster'[Maint/Repairs]/[Z - JP TTM Rev. Copy])
I receive this error: 'The SUM function only accepts a column reference as an argument.'
Do you know what I'm doing wrong?
...ANSWER
Answered 2021-Dec-21 at 17:41For me it's difficult to interpret what you are doing or trying to do just with the information that's given to us. But I am going to make my guess anyway.
In any case, whatever you do or try to do, use divide()
-doc- as intended in place of the /
operator.
- For operation at row level use
sumx ()
doc. - Have you tryed out
[my_measure] = divide( sum( [my_column] ), [my_other_measure] )
?
QUESTION
Team,
I'm trying to get the last 12 months of financials, using the days as my base, and am getting the the expression yield error. I think it's because they aren't text, but calculated columns.
What is best to add to this? I tried 'value' and that didn't work. I think the isnonblank may work.. or is blank? As there will be blanks returned.
Here's the formula:
Last 12 Mn Amt = (if('LSI DP_JP_HistorySummaryBySiteMaster'[Z - Days]>=-365,'LSI DP_JP_HistorySummaryBySiteMaster'[Z Total Revenue + Rent Revenue],""))
...ANSWER
Answered 2021-Dec-09 at 23:30The problem is that the TRUE result returns a different data type than the FALSE result.
Try replacing ""
with blank or zero.
QUESTION
I understand GSI's can be sparse, however the docs don't seem to mention LSI's - can they also be sparse?
...ANSWER
Answered 2021-Nov-29 at 14:34Yes they can. While the sparse indexes document explicitly mentions GSI, the very first example:
For example, suppose that you have a table where you store all your customer orders, with the following key attributes:
Partition key: CustomerId
Sort key: OrderId
To track open orders, you can insert an attribute named isOpen in order items that have not already shipped. Then when the order ships, you can delete the attribute. If you then create an index on CustomerId (partition key) and isOpen (sort key), only those orders with isOpen defined appear in it.
Is talking about an LSI. The index partition key is the same as the table itself (CustomerID
).
QUESTION
I want to sort items identified by the same partition key using different sort keys.
In that case, a LSI seems to be the perfect fit, but would I get any benefits by using a GSI instead? (which would then use the same PK as the table). I don't care about consistency (maybe I should?) and I'm more focused on flexibility of use and overall price.
Any guidance?
...ANSWER
Answered 2021-Dec-03 at 16:45You have to pay extra for a GSI, you don't for an LSI.
In addition, as you mentioned a GSI is eventually consistent with the table.
However, a table with LSIs is limited 10GB per partition
See Quotas - Partition Keys and Sort Keys
In general, there is no practical limit on the number of distinct sort key values per partition key value.
The exception is for tables with secondary indexes. With a local secondary index, there is a limit on item collection sizes: For every distinct partition key value, the total sizes of all table and index items cannot exceed 10 GB. This might constrain the number of sort keys per partition key value. For more information, see Item Collection Size Limit.
The Item Collection Size limit
The maximum size of any item collection is 10 GB. This limit does not apply to tables without local secondary indexes. Only tables that have one or more local secondary indexes are affected.
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