Maximum size of entity in datastore? - google-cloud-datastore

What is the maximum size of an entity in datastore? In mongo a document can be max 16mb, I assume something similar with DS. Anyone know?

The documentation says 1MB:
Maximum size for an entity: 1,048,572 bytes (1 MiB - 4 bytes)
Also, take a look at this blog:
... the datastore limits entities to 1 Mb.

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DynamoDB Batch Write Item Limits

I am currently doing a batch load to DynamoDB and dividing our data items into batch units:
According to the limits documentation:
https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_BatchWriteItem.html
Some of the limits are:
There are more than 25 requests in the batch.
Any individual item in a batch exceeds 400 KB.
The total request size exceeds 16 MB.
The big unknown for me is how is possible with 25 items of a maximum of 400 Kb, the payload will exceed 16Mbs. Accounting for table names of less than 255 bytes, etc. I don't understand the limit or am I missing something simple.
Thanks.
The 16MB size is actually the total size of the request. Consider an object with many many small objects, the DynamoDB request map could be larger than the size of the combined items.

Maximum size of DynamoDB item

Does anyone know what is the maximum size of Item payload that amazon dynamo DB supports? I am sure its buried in documentation somewhere.
My follow-up question is that when you upload large chunk of data if there is a connection drop (client or server), is there a way to resume the upload from where you left off?
The maximum size of a DynamoDB item is 400KB.
From the Limits in DynamoDB documentation:
The maximum item size in DynamoDB is 400 KB, which includes both attribute name binary length (UTF-8 length) and attribute value lengths (again binary length). The attribute name counts towards the size limit.
This is what i could figure from documentation
Unlimited attributes /item
Unlimited item /table
400KB max /attribute
- 64KB max /item name [Edited per documentation --an item name must be at least one character long, but not greater than 64 KB long.]
Large data needs to be stored in Amazon S3 with url pointing to the data ?

Read throughput in DynamoDB

Ok, so my understanding of read units is that it costs 1 read unit per item, unless the item exceeds 4KB in which case read units = ceiling(item size/4).
However when I submit a scan asking for 80 items (provisioned throughput is 100), the response returns a ConsumedCapacity of either 2.5 or 3 read units. This is frustrating because 97% of the provisioned hardware is not being used. Any idea why this might be the case?
What is your item size for the 80 items? Looking at the documentation here: http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ProvisionedThroughputIntro.html
You can use the Query and Scan operations in DynamoDB to retrieve
multiple consecutive items from a table in a single request. With
these operations, DynamoDB uses the cumulative size of the processed
items to calculate provisioned throughput. For example, if a Query
operation retrieves 100 items that are 1 KB each, the read capacity
calculation is not (100 × 4 KB) = 100 read capacity units, as if those
items were retrieved individually using GetItem or BatchGetItem.
Instead, the total would be only 25 read capacity units ((100 * 1024
bytes) = 100 KB, which is then divided by 4 KB).
So if your items are small, that would explain why Scan is not consuming as much capacity as you would expect. Also, note Scan uses eventually consistent reads, which consume half of the read capacity units.

What is the size of the data that I can maintain in SQLite in a desktop application?

If have you use SQLite to develop a Desktop application, will there be any limitation to the size of data that I can store into it ?
Will there be any performance issues ?
As I read somewhere that browers use it to store settings only..and nothing much..
Thanks...
From Implementation Limits For SQLite:
The largest possible setting for SQLITE_MAX_PAGE_COUNT is 2147483646. When used with the maximum page size of 65536, this gives a maximum SQLite database size of about 14 terabytes.
The max file size could be smaller depending on your filesystem. As for performance, that depends more on your schema, queries, indices, type of data being stored, etc.

is there a limit to the size of a SQLite database?

I have read their limits FAQ, they talk about many limits except limit of the whole database.
This is fairly easy to deduce from the implementation limits page:
An SQLite database file is organized as pages. The size of each page is a power of 2 between 512 and SQLITE_MAX_PAGE_SIZE. The default value for SQLITE_MAX_PAGE_SIZE is 32768.
...
The SQLITE_MAX_PAGE_COUNT parameter, which is normally set to 1073741823, is the maximum number of pages allowed in a single database file. An attempt to insert new data that would cause the database file to grow larger than this will return SQLITE_FULL.
So we have 32768 * 1073741823, which is 35,184,372,056,064 (35 trillion bytes)!
You can modify SQLITE_MAX_PAGE_COUNT or SQLITE_MAX_PAGE_SIZE in the source, but this of course will require a custom build of SQLite for your application. As far as I'm aware, there's no way to set a limit programmatically other than at compile time (but I'd be happy to be proven wrong).
It has new limits, now the database size limit is 256TB:
Every database consists of one or more "pages". Within a single database, every page is the same size, but different databases can have page sizes that are powers of two between 512 and 65536, inclusive. The maximum size of a database file is 4294967294 pages. At the maximum page size of 65536 bytes, this translates into a maximum database size of approximately 1.4e+14 bytes (281 terabytes, or 256 tebibytes, or 281474 gigabytes or 256,000 gibibytes).
This particular upper bound is untested since the developers do not have access to hardware capable of reaching this limit. However, tests do verify that SQLite behaves correctly and sanely when a database reaches the maximum file size of the underlying filesystem (which is usually much less than the maximum theoretical database size) and when a database is unable to grow due to disk space exhaustion.
The new limit is 281 terabytes. https://www.sqlite.org/limits.html
Though this is an old question, but let me share my findings for people who reach this question.
Although Sqlite documentation states that maximum size of database file is ~140 terabytes but your OS imposes its own restrictions on maximum file size for any type of file.
For e.g. if you are using FAT32 disk on Windows, maximum file size that I could achieve for sqLite db file was 2GB. (According to Microsoft site, limit on FAT 32 system is 4GB but still my sqlite db size was restricted to 2GB). While on Linux , I was able to reach 3 GB (where I stopped. it could have reached more size)
NOTE: I had written a small java program that will start populating sqlite db from 0 rows and go on populating until stop command is given.
The maximum number of bytes in a string or BLOB in SQLite is defined by the preprocessor macro SQLITE_MAX_LENGTH. The default value of this macro is 1 billion (1 thousand million or 1,000,000,000). 
The current implementation will only support a string or BLOB length up to 231-1 or 2147483647
The default setting for SQLITE_MAX_COLUMN is 2000. You can change it at compile time to values as large as 32767. On the other hand, many experienced database designers will argue that a well-normalized database will never need more than 100 columns in a table.
SQLite does not support joins containing more than 64 tables.
The theoretical maximum number of rows in a table is 2^64 (18446744073709551616 or about 1.8e+19). This limit is unreachable since the maximum database size of 140 terabytes will be reached first.
Max size of DB : 140 terabytes
Please check URL for more info : https://www.sqlite.org/limits.html
I'm just starting to explore SQLite for a project I'm working on, but it seems to me that the effective size of a database is actually more flexible than the file system would seem to allow.
By utilizing the 'attach' capability, a database could be compiled that would exceed the file system's max file size by up to 125 times... so a FAT32 effective limit would actually be 500GB (125 x 4GB)... if the data could be balanced perfectly between the various files.

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