Vscode调试器没有跳过node_internals。我不知道我在这里错过了什么。下面是我的launch.json
{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0"
我使用openjdk:8-高寒来部署Kafka应用程序。我使用的是窗口,它崩溃时有以下错误:
Exception in thread "app-4a382bdc55ae-StreamThread-1" java.lang.UnsatisfiedLinkError: /tmp/librocksdbjni94709417646402513.so: Error loading shared library ld-linux-x86-64.so.2: No such file or directory (needed by /tmp/librocksdbjni9470941764640
我尝试使用protobuf,但不知怎么链接失败了(这里只是代码片段):
Linking CXX executable app
CMakeFiles/app.dir/msg.pb.cc.o: In function `evoswarm::protobuf_AssignDesc_a_5fto_5fb_2eproto()':
msg.pb.cc:(.text+0x133): undefined reference to `google::protobuf::internal::GeneratedMessageReflection::NewGeneratedMessageReflection(
同时使用:
with open("data_file.pickle", "rb") as pfile:
raw_data = pickle.load(pfile)
我知道错误:
AttributeError: Can't get attribute '_unpickle_block' on <module 'pandas._libs.internals' from '/opt/conda/lib/python3.8/site-packages/pandas/_libs/internals.cpy
在Streamlit运行期间更改pandas版本时,我有以下错误:
AttributeError: Can't get attribute '_unpickle_block' on <module 'pandas._libs.internals' from '/opt/conda/lib/python3.8/site-packages/pandas/_libs/internals.cpython-38-x86_64-linux-gnu.so'>
由于我使用的是@st.experimental_memo(show_spinner
我维护了我的user.lua项目文件夹。当我用"Evaluate in Console“检查Module require语句时,有没有什么地方可以排除Zerobrane的环境路径? 这样做的原因是,我将确保一切都在插件引擎中工作。 如果我没看错的话,这就是检查缺少的模块lualibs和特定于cerobrane的bin的内容 输出 local toast = require("toast")
[string " local toast = require("toast")"]:1: module 'toast' no
在Python2或Python3中导入NLTK时,错误显示在导入NLTK时无法导入'timezone‘。几天前它工作得很好。
谁来帮帮忙。输出如下所示。
对于Python3
Python 3.4.3 (default, Nov 17 2016, 01:08:31)
[GCC 4.8.4] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import nltk
Traceback (mo
在我的kafka streams应用程序中创建状态存储时,我得到了这个错误Failed to lock the state directory: /tmp/kafka-streams/string-monitor/0_1。下面是应用程序的完整堆栈跟踪
[2016-08-30 12:43:09,408] ERROR [StreamThread-1] User provided listener org.apache.kafka.streams.processor.internals.StreamThread$1 for group string-monitor failed on partiti
我有一个数据pandas数据框和一个向现有数据框追加一行的函数
df = pd.DataFrame()
df.columns = ['A', 'Line', 'B']
# add a new row at the end of non-indexed df
def addRow(self, colData, colNames):
l = len(df)
colList = []
for x in colData :
colList.append(str(x))
n
我们使用selectKey()来更改密钥。在我们迁移到IBM Cloud上的新标准计划事件流之前,它可以很好地工作。然后我们在下面遇到了异常。它说我们的主题retentions.ms不适合范围3600000..2592000000。所以我想知道我们怎样才能解决这个问题。
谢谢,
[WARNING]
org.apache.kafka.streams.errors.StreamsException: Could not create topic employeeFilter-KSTREAM-KEY-SELECT-0000000047-repartition.
at org.apache.k
在通过终端导入nltk时,我得到一个错误,如下所示
[greenz@localhost hadoop]$ python
Python 2.6.6 (r266:84292, Feb 21 2013, 23:54:59)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-3)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import nltk
Traceback (mo
我已经看过了。它在那里写道:
-- We used to use System.Posix.Internals.dEFAULT_BUFFER_SIZE, which is
-- taken from the value of BUFSIZ on the current platform. This value
-- varies too much though: it is 512 on Windows, 1024 on OS X and 8192
-- on Linux. So let's just use a decent size on every platform:
dEF
我目前正在研究
我尝试了以下代码来解决这个问题:
data Tree a = Empty | Branch a (Tree a) (Tree a)
deriving (Show, Eq)
internals :: Tree a -> [a]
internals (Branch a Empty Empty) = []
internals (Branch a b c) = [a]++(internals b)++(internals c)
internals (Branch a b Empty) = [a]++(internals b)
internal
当源主题分区计数= 1时工作正常。如果我将分区增加到任何大于1的值,我会看到下面的错误。既适用于低级,也适用于DSL API。有什么建议吗?可能会遗漏什么?
org.apache.kafka.streams.errors.StreamsException: stream-thread [StreamThread-1] Failed to rebalance
at org.apache.kafka.streams.processor.internals.StreamThread.runLoop(StreamThread.java:410)
at org.apach
我真的真的很新手反应原生和我设计了一个应用程序与builderx.io和导出(不直接)到expo.dev集成开发环境,当它运行时,它会给出一些错误,我找不到它是什么,请帮助我,我的代码可以在snack.expo.dev中找到。 下面是我得到的错误: R is not a function
value@react-navigation-drawer.js:3:35720
Ni@[snack internals]
Mi@[snack internals]
ms@[snack internals]
dl@[snack internals]
sl@[snack internals]
Zs@[snac
我试图为每个绑定设置valueSerde,但是只考虑默认的值。
AppSerde类
public class AppSerdes {
public static final class DepartmentSerde extends WrapperSerde<Department> {
public DepartmentSerde() {
super(new ProtobufSerializer<>(), new ProtobufDeserializer<>(Department.class));
我使用合流-3.2.1作为卡夫卡流光器。我正在尝试将我的KGroupedStream<String, MyClass1>聚合到KTable<Windowed<String>,MsgAggr>中。在使用聚合时,我也使用TimeWindows.of(TimeUnit.SECONDS.toMillis(5))。我使用用户定义的"Serdes“作为聚合的参数。用户定义"Serdes“的代码是,
Map<String, Object> serdeProps = new HashMap<>();
final Serializer
启动流应用程序(使用卡夫卡流)失败时使用"java.lang.IllegalStateException:这不应该发生,因为headers()应该只在处理记录时调用“
这似乎只有当我启动应用程序时,在主题中已经有数据时才会发生。如果主题是空的,并且我开始将数据推送给它,那么一切都很好。
有人知道为什么会发生这种事吗?
谢谢
This should not happen as headers() should only be called while a record is processed
java.lang.IllegalStateException: This should no
下面的错误是在流运行一定时间后给出的?我找不到谁负责创建.sst文件?
环境规划署:
Kafka版本0.10.0-cp1
scala 2.11.8
org.apache.kafka.streams.errors.ProcessorStateException: Error while executing flush from store agg
at org.apache.kafka.streams.state.internals.RocksDBStore.flushInternal(RocksDBStore.java:424)
at org.a
运行在Confluent Cloud上的kafka streams版本2.1.0在kafka streams应用启动时出现以下错误: java.util.concurrent.ExecutionException: org.apache.kafka.common.errors.PolicyViolationException: Config property 'segment.ms' with value '600000' exceeded min limit of 14400000. 完整调用堆栈: at org.apache.kafka.streams.p
定义了一个自定义存储,在自定义Transformer中使用(参考如下)。
public class KafkaStream {
public static void main(String[] args) {
StateStoreSupplier houseStore = Stores.create("HOUSE").withKeys(Serdes.String()).withValues(houseSerde).persistent().build();
KStreamBuilder kstreamBuilder = new KSt
当我试图从Java jetty微服务连接到一个主题时,我得到了这个Kafka内部版本不匹配错误: stream-thread [App-94d44dcd-f1d4-49a6-9dd3-8d4eee06f82a-StreamThread-1] Encountered the following error during processing:
java.lang.IllegalArgumentException: version must be between 1 and 3; was: 4
at org.apache.kafka.streams.process
我正在运行一个有7个节点和大量流处理的Kafka集群。现在我在我的Kafka Streams应用程序中看到了不常见的错误,比如在高输入率下:
[2018-07-23 14:44:24,351] ERROR task [0_5] Error sending record to topic topic-name. No more offsets will be recorded for this task and the exception will eventually be thrown (org.apache.kafka.streams.processor.internals.RecordC
我在Scala和Doobie中使用PostgreSQL 12.1。在尝试使用LIKE %语法进行查询时获得异常。它在没有%的情况下工作。
我的代码:
implicit val cs = IO.contextShift(ExecutionContexts.synchronous)
val driver = "org.postgresql.Driver"
val connectionString = "jdbc:postgresql:postgres"
val user = "postgres"
val pass = "P@ssw0rd
我有一个卡夫卡流应用程序版本- 0.11,它从几个主题中获取数据,并将数据加入到另一个主题中。
Kafka配置:
5 kafka brokers - version 0.11
Kafka Topics - 15 partitions and 3 replication factor.
每小时消耗/产生数以百万计的记录。每当我把卡夫卡经纪人打倒,它就会抛到异常之下:
org.apache.kafka.streams.errors.LockException: task [4_10] Failed to lock the state directory for task 4_10
at o