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*FOR ANDROID - If install doesn't happen after download - Allow Install Unknown Apps --> Then go into Apps --> Files and clicking the file from there to start the app install.16 Bit - Runs best on older devices32 Bit - Preferred for mobile. Runs best on newer devices
From just a glance, it sort of reminds me of winds of change. I must say, perhaps you could get more people by including some romance in it. Or nsfw. I saw you already made a post about it, but I simply wished to say something. A lot of the popular visual novels do tend to have some sort of romance option in them. I love seeing new visual novels that flourish. Yours seems like it could very well be one of the popular ones. I know its up to you on how to make the novel, which is totally fine! Its still a good story which really defines the whole visual novel. I for one greatly enjoy romance VN's. I do also tend to share the visual novels I really enjoy with other people to try and get more people to download them. Either way, I will recommend this to my friends and others! ^^ I was just curious if you would maybe add romance in the future. But it seems like its well made and I look forward to the future.
Got a problem. I downloaded the app on Android and whenever i open it, it just crashes it just shows this picture, couldn't screenshot it from ingame so i just screenshotted the picture shown here. Idk if my ram cant take it or its the app.
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Principal of the ThingProfile informationAKA*Principal*
The guy of the Thing*
SpeciesHumanGenderMaleJobPrincipalLikesStudents following the school rulesDislikesStudents breaking the school rulesProgram informationSprite basedPhoto-croppedSpawn locationPrincipal's officeFollows the playerUpon rule breakAttracts BaldiWhen giving out detentionNoise value95Floor debutFloor 1Color(s) of the caption(s)BlueDevelopment informationCreated inPhoto graphing, next cutting, and GIMP editAdded inBaldi's Basics Classic (V1.0)Sound made by or withmystman12Designed bymystman12Office bio"If I see anyone breaking the school rules, I'll make sure justice is served! It tastes good and fills my tummy!"
We've bought and tested over 75 cameras, and below you'll find our recommendations for the best cameras for low light. If you're looking for more general-purpose recommendations, you can also see our list of the best cameras for photography. If, on the other hand, you're more interested in other kinds of photography, you can take a look at our best wildlife cameras or best cameras for landscape photography. Or, maybe you're just looking for the best cameras we've tested, period. In any case, you're sure to find something to suit your needs.
Note: If you are willing to accept downtime, you can simply take all the brokers down, update the code and start all of them. They will start with the new protocol by default.Note: Bumping the protocol version and restarting can be done any time after the brokers were upgraded. It does not have to be immediately after.Potential breaking changes in 0.10.1.0 The log retention time is no longer based on last modified time of the log segments. Instead it will be based on the largest timestamp of the messages in a log segment.
The log rolling time is no longer depending on log segment create time. Instead it is now based on the timestamp in the messages. More specifically. if the timestamp of the first message in the segment is T, the log will be rolled out when a new message has a timestamp greater than or equal to T + log.roll.ms
The open file handlers of 0.10.0 will increase by 33% because of the addition of time index files for each segment.
The time index and offset index share the same index size configuration. Since each time index entry is 1.5x the size of offset index entry. User may need to increase log.index.size.max.bytes to avoid potential frequent log rolling.
Due to the increased number of index files, on some brokers with large amount the log segments (e.g. >15K), the log loading process during the broker startup could be longer. Based on our experiment, setting the num.recovery.threads.per.data.dir to one may reduce the log loading time.
Upgrading a 0.10.0 Kafka Streams Application Upgrading your Streams application from 0.10.0 to 0.10.1 does require a broker upgrade because a Kafka Streams 0.10.1 application can only connect to 0.10.1 brokers.
There are couple of API changes, that are not backward compatible (cf. Streams API changes in 0.10.1 for more details). Thus, you need to update and recompile your code. Just swapping the Kafka Streams library jar file will not work and will break your application.
Notable changes in 0.10.1.0 The new Java consumer is no longer in beta and we recommend it for all new development. The old Scala consumers are still supported, but they will be deprecated in the next release and will be removed in a future major release.
The --new-consumer/--new.consumer switch is no longer required to use tools like MirrorMaker and the Console Consumer with the new consumer; one simply needs to pass a Kafka broker to connect to instead of the ZooKeeper ensemble. In addition, usage of the Console Consumer with the old consumer has been deprecated and it will be removed in a future major release.
Kafka clusters can now be uniquely identified by a cluster id. It will be automatically generated when a broker is upgraded to 0.10.1.0. The cluster id is available via the kafka.server:type=KafkaServer,name=ClusterId metric and it is part of the Metadata response. Serializers, client interceptors and metric reporters can receive the cluster id by implementing the ClusterResourceListener interface.
The BrokerState "RunningAsController" (value 4) has been removed. Due to a bug, a broker would only be in this state briefly before transitioning out of it and hence the impact of the removal should be minimal. The recommended way to detect if a given broker is the controller is via the kafka.controller:type=KafkaController,name=ActiveControllerCount metric.
The new Java Consumer now allows users to search offsets by timestamp on partitions.
The new Java Consumer now supports heartbeating from a background thread. There is a new configuration max.poll.interval.ms which controls the maximum time between poll invocations before the consumer will proactively leave the group (5 minutes by default). The value of the configuration request.timeout.ms must always be larger than max.poll.interval.ms because this is the maximum time that a JoinGroup request can block on the server while the consumer is rebalancing, so we have changed its default value to just above 5 minutes. Finally, the default value of session.timeout.ms has been adjusted down to 10 seconds, and the default value of max.poll.records has been changed to 500.
When using an Authorizer and a user doesn't have Describe authorization on a topic, the broker will no longer return TOPIC_AUTHORIZATION_FAILED errors to requests since this leaks topic names. Instead, the UNKNOWN_TOPIC_OR_PARTITION error code will be returned. This may cause unexpected timeouts or delays when using the producer and consumer since Kafka clients will typically retry automatically on unknown topic errors. You should consult the client logs if you suspect this could be happening.
Fetch responses have a size limit by default (50 MB for consumers and 10 MB for replication). The existing per partition limits also apply (1 MB for consumers and replication). Note that neither of these limits is an absolute maximum as explained in the next point.
Consumers and replicas can make progress if a message larger than the response/partition size limit is found. More concretely, if the first message in the first non-empty partition of the fetch is larger than either or both limits, the message will still be returned.
Overloaded constructors were added to kafka.api.FetchRequest and kafka.javaapi.FetchRequest to allow the caller to specify the order of the partitions (since order is significant in v3). The previously existing constructors were deprecated and the partitions are shuffled before the request is sent to avoid starvation issues.
New Protocol Versions ListOffsetRequest v1 supports accurate offset search based on timestamps.
MetadataResponse v2 introduces a new field: "cluster_id".
FetchRequest v3 supports limiting the response size (in addition to the existing per partition limit), it returns messages bigger than the limits if required to make progress and the order of partitions in the request is now significant.
JoinGroup v1 introduces a new field: "rebalance_timeout".
Upgrading from 0.8.x or 0.9.x to 0.10.0.00.10.0.0 has potential breaking changes (please review before upgrading) and possible performance impact following the upgrade. By following the recommended rolling upgrade plan below, you guarantee no downtime and no performance impact during and following the upgrade.Note: Because new protocols are introduced, it is important to upgrade your Kafka clusters before upgrading your clients.Notes to clients with version 0.9.0.0: Due to a bug introduced in 0.9.0.0,clients that depend on ZooKeeper (old Scala high-level Consumer and MirrorMaker if used with the old consumer) will notwork with 0.10.0.x brokers. Therefore, 0.9.0.0 clients should be upgraded to 0.9.0.1 before brokers are upgraded to0.10.0.x. This step is not necessary for 0.8.X or 0.9.0.1 clients.For a rolling upgrade: 041b061a72