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  • Setting many key/value pairs

    - by Andrew
    Hi, I'm working on a rake task which imports from a JSON feed into an ActiveRecord called Person. Person has quite a few attributes and rather than write lines of code for setting each attribute I'm trying different methods. The closest I've got is shown below. This works nicely as far as outputing to screen but when I check the values have actually been set on the ActiveRecord itself it's always nil. So it looks like I can't use .to_sym to solve my problem? Any suggestions? I should also mention that I'm just starting out with Ruby, have been doing quite a bit of Objective-c and now need to embrace the Interwebs :) http = Net::HTTP.new(url.host, url.port) http.read_timeout = 30 json = http.get(url.to_s).body parsed = JSON.parse(json) if parsed.has_key? 'code' updatePerson = Person.find_or_initialize_by_code(parsed['code']) puts updatePerson.code parsed.each do |key, value| puts "#{key} is #{value}" symkey = key.to_sym updatePerson[:symkey] = value.to_s updatePerson.save puts "#{key}....." # shows the current key puts updatePerson[:symkey] # shows the correct value puts updatePerson.first_name # a sample key, it's returning nil end

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  • Creating a db driven primary navigation in django?

    - by Fedor
    I find that it's pretty common most people hardcode the navigation into their templates, but I'm dealing with a pretty dynamic news site which might be better off if the primary nav was db driven. So I was thinking of having a Navigation model where each row would be a link. link_id INT primary key link_name varchar(255) url varchar(255) order INT active boolean If anyone's done something similar in the past, would you say this sort of schema is good enough? I also wanted for there to be an optional dropdown in the admin near the url field so that a user could choose a Category model's slug since category links would be common, but I'm not quite sure how that would be possible.

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  • Whats the best way to design this database scenario?

    - by ankimal
    I want to setup 2 MySQL databases which differ in schema in that, one is normalized and the other is flat for quicker reads and writes. The information being stored in both DBs is the same, but the representation is obviously different owing to the different design approaches. I need to find a robust solution to sync information in real time from my normalized version to my flatter version.

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  • Set primary key on hibernate generated sequence table

    - by bungrudi
    setup: hibernate 3.3, MySQL 5 I have an hibernate entity that have its PK generated using a sequence table. The annotation looks like this: @GenericGenerator(name = "SCENARIO_TABLE_GEN", strategy = "org.hibernate.id.enhanced.TableGenerator", parameters = { @Parameter(name = "initial_value", value = "5"), @Parameter(name = "force_table_use", value = "true"), @Parameter(name = "table_name", value = "SEQ_TABLE"), @Parameter(name = "value_column_name", value = "VALUE_COL"), @Parameter(name = "segment_column_name", value = "KEY_COL"), @Parameter(name = "segment_value", value = "SCENARIO") }) The problem is, that hibernate generated sequence table (SEQ_TABLE in my case, generated using hbm2ddl) does not have a primary keys. How do I tell hibernate that I want to have the primary key for the sequence table set on KEY_COL ?

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  • GQL Query with __key__ in List of KEYs

    - by bossylobster
    In the GQL reference [1], it is encouraged to use the IN keyword with a list of values, and to construct a Key from hand the GQL query SELECT * FROM MyModel WHERE __key__ = KEY('MyModel', 'my_model_key') will succeed. However, using the code you would expect to work: SELECT * FROM MyModel WHERE __key__ IN (KEY('MyModel', 'my_model_key1'), KEY('MyModel', 'my_model_key2')) in the Datastore Viewer, there is a complaint of "Invalid GQL query string." What is the correct way to format such a query? [1] http://code.google.com/appengine/docs/python/datastore/gqlreference.html PS I know there are more efficient ways to do this in Python (without constructing a GQL query) and using the remote_api, but each call to the remote_api counts against quota. In an environment where quota is not (necessarily) free, quick and dirty queries are very helpful.

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  • What method do you use to identify the Aggregate Roots in Domain Drive Design?

    - by Robert
    When applying Domain Driven Design to a project, how do you identify the Aggregate Roots? For example, in a standard E-Commerce website, you might say that the Order is one, and the User is the other. But what if your Users belong to a Company? Does that make your Company the aggregate root? I'm interested in hearing people's approaches to working out the Aggregate roots, and how to identify poorly chosen aggregate roots.

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  • SQL Server Express: Failed to add primary key after creating a database table

    - by Syd
    Scenario: I have created a database table. And when I tried to add a primary key (using the SQL Server Management Studiio) to the table, it failed with an error message "Saving changes is not permitted. The changes you have made requrie the following tables to be dropped and re-created. You have either made changes to a table that can't be recreated or enabled the option Prevent savign changes that require the table to be re-created." The environment is Windows 7. I have earlier installed it on a Windows XP SP2 and it worked. And yes, my table is empty (freshly created). My current workaround is to run the "Drop and Create" script. The other alternative is to create the primary key before I save the table. Is this a bug or a limitation with the Express version?

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  • Long key press handling in android 1.5

    - by Kaillash
    Hi, I want to handle key press and long key press for the key code KEYCODE_BACK(back button). can any one suggest me how to do this in android 1.5(API level 3). Here is the code. public boolean onKeyDown(int keyCode, KeyEvent event) { if (keyCode == KeyEvent.KEYCODE_BACK) { if(event.getRepeatCount()==0) { // normal key press // But problem is, this code is hitting for long press also, how to avoid this } else { // Long key press //Do something here } // Always consume back key event by returning true //so that default behavior of back is overrided return true; } return super.onKeyDown(keyCode, event); }

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  • is it a good idea to change a recovery partition from primary to logical? [HP laptop]

    - by DiegoDD
    I have a new HP laptop, model dv6-6c85la, with 1TB hard drive, and it has 4 primary partitions, like this: |<- system [199 MB] -|<- c: [899.8 GB] -|<- d:(recovery) [27.5 GB] -|<- e:(hp_tools) [4 GB] -| I wanted to make another partition, splitting "C" which is the main partition, into TWO partitions, and leave the rest as it is. but it doesn't let me because they are already 4 primary partitions (the ones in the diagram). I read somewhere, that i could in fact split C into 2 partitions, but only if the adjacent partition (in this case d:(recovery) is converted into a "logical" partition. That way, the new unallocated part taken from C, and the recovery partition, would each be logical, "inside" an extended partition (right???) As i understand, the resulting partitions would be: primary (system, no letter), primary (c:), extended [ logical (x:) | logical(d:recovery) ], primary (e: hp_tools) "x" being the new one. am i correct? My question is, if i do convert the recovery partition to logical (and thus, it is inside an extended partition adjacent to the new "x:" one), would i have any problems when in case of a disaster i would like to restore the system using the now logical instead of primary RECOVERY partition? Or it is completely safe to change it to logical? My main concern is because i think i may need to be primary so the recovery can proceed in boot time? Or i am completely wrong? how does the recovery process happens? I also understand that i can simply create recovery media, in DVDs, and then even i would be able to delete that recovery partition completely, but as of now, i don't want to do that. I may create the disks, but i don't want to delete the partition, simply because it would be a lot faster and easier to recover from a hard drive than disks. Wrapping up: if i change a recovery partition from primary to logical, will the system still be capable of using it to recover? or it NEEDS to be primary to work? The whole point is that i want to split C:, but as things are, i cant directly, i'd need to change the recovery partition to logical. Or is there another way? thanks.

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  • How would you gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    I'm relatively new to StackExchange and not sure if it's appropriate place to ask design question. Site gives me a hint "The question you're asking appears subjective and is likely to be closed". Please let me know. Anyway.. One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting? Thank you very much in advance for your thoughts.

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  • How can I gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting?

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  • How can I force SSH to give an RSA key instead of ECDSA?

    - by broiyan
    Upon the first time accessing a server, how can I force SSH to give me the RSA key and automatically store it if the user approves? Presently it is offering me the ECDSA key. Because I already know the RSA key, I would prefer to see the RSA key presented at this point. I have tried: ssh -o RSAAuthentication=yes user@server Unfortunately this gives me an ECDSA key and the Are you sure you want to continue connecting (yes/no)? message.

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