Databricks Runtime 4.0(不受支持)Databricks Runtime 4.0 (Unsupported)

Databricks 于 2018 年 3 月发布了此映像。Databricks released this image in March 2018.

重要

此版本已于 2018 年 11 月 1 日弃用。This release was deprecated on November 1, 2018. 有关 Databricks Runtime 弃用策略和计划的详细信息,请参阅 Databricks Runtime 支持生命周期For more information about the Databricks Runtime deprecation policy and schedule, see Databricks runtime support lifecycle.

以下发行说明提供了由 Apache Spark 支持的 Databricks Runtime 4.0 的相关信息。The following release notes provide information about Databricks Runtime 4.0, powered by Apache Spark.

更改和改进Changes and improvements

  • JSON 数据源现在尝试自动检测编码,而不是假设编码为 UTF-8。The JSON data source now tries to auto-detect encoding instead of assuming it to be UTF-8. 在自动检测失败的情况下,用户可以指定“字符集”选项来强制执行某种编码。In cases where the auto-detection fails, users can specify the charset option to enforce a certain encoding. 请参阅字符集自动检测See Charset auto-detection.
  • 完全支持在结构化流中使用 Spark MLlib 管道进行评分和预测。Scoring and prediction using Spark MLlib pipelines in Structured Streaming is fully supported.
  • 完全支持 Databricks ML 模型导出。Databricks ML Model Export is fully supported. 借助此功能,可以在 Databricks 上训练 Spark MLlib 模型,使用函数调用导出该模型,并使用所选系统中的 Databricks 库导入模型并给新数据评分。With this feature, you can train a Spark MLlib model on Databricks, export it with a function call, and use a Databricks library in the system of your choice to import the model and score new data. 请参阅导出和导入模型See Export and import models.
  • 新的 Spark 数据源实现提供对 Azure Synapse Analytics 的可缩放的读/写访问权限。A new Spark data source implementation offers scalable read/write access to Azure Synapse Analytics. 请参阅 Spark - Synapse Analytics 连接器See Spark - Synapse Analytics Connector.
  • from_json 函数的架构始终转换为可为空的函数。The schema of the from_json function is now always converted to a nullable one. 换句话说,所有字段(包括嵌套字段)都可为空。In other words, all fields, including nested ones, are nullable. 这可确保数据与架构兼容,当数据中缺少某个字段且用户提供的架构将字段声明为不可为空时,可防止在将数据写入 parquet 后发生损坏。This ensures that the data is compatible with the schema, preventing corruption after writing the data to parquet when a field is missing in the data and the user-provided schema declares the field as non-nullable.
  • 升级了一些已安装的 Python 库:Upgraded some installed Python libraries:
    • futures:从 3.1.1 升级到 3.2.0futures: from 3.1.1 to 3.2.0
    • pandas:从 0.18.1 升级到 0.19.2pandas: from 0.18.1 to 0.19.2
    • pyarrow:从 0.4.1 升级到 0.8.0pyarrow: from 0.4.1 to 0.8.0
    • setuptools:从 38.2.3 升级到 38.5.1setuptools: from 38.2.3 to 38.5.1
    • tornado:4.5.2 升级到4.5.3tornado: 4.5.2 to 4.5.3
  • 升级了多个已安装的 R 库。Upgraded several installed R libraries. 请参阅已安装的 R 库See Installed R Libraries.
  • 已将 AWS Java SDK 从 1.11.126 升级到 1.11.253。Upgraded AWS Java SDK from 1.11.126 to 1.11.253.
  • 已将 SQL Server JDBC 驱动程序从 6.1.0.jre8 升级到 6.2.2.jre8。Upgraded SQL Server JDBC driver from 6.1.0.jre8 to 6.2.2.jre8.
  • 已将 PostgreSQL JDBC 驱动程序从 9.4-1204-jdbc41 升级到 42.1.4。Upgraded PostgreSQL JDBC driver from 9.4-1204-jdbc41 to 42.1.4.

Apache SparkApache Spark

Databricks Runtime 4.0 包括 Apache Spark 2.3.0。Databricks Runtime 4.0 includes Apache Spark 2.3.0.

Core、PySpark 和 Spark SQLCore, PySpark, and Spark SQL

主要功能Major features

  • 向量化 ORC 读取器:[SPARK-16060]:添加对新的 ORC 读取器的支持,通过向量化(2-5 倍)大幅提高 ORC 扫描吞吐量。Vectorized ORC Reader: [SPARK-16060]: Adds support for new ORC reader that substantially improves the ORC scan throughput through vectorization (2-5x). 若要启用读取器,用户可以将 spark.sql.orc.impl 设置为 nativeTo enable the reader, users can set spark.sql.orc.impl to native.
  • Spark History Server V2:[SPARK-18085]:新的 spark 历史记录服务器 (SHS) 后端,通过更高效的事件存储机制为大型应用程序提供更好的可缩放性。Spark History Server V2: [SPARK-18085]: A new spark history server (SHS) backend that provides better scalability for large-scale applications with a more efficient event storage mechanism.
  • 数据源 API V2:[SPARK-15689][SPARK-22386]:用于在 Spark 中插入新数据源的实验性 API。Data source API V2: [SPARK-15689][SPARK-22386]: An experimental API for plugging in new data sources in Spark. 新的 API 试图解决 V1 API 的几个限制,旨在促进高性能、易于维护和可扩展的外部数据源的开发。The new API attempts to address several limitations of the V1 API and aims to facilitate development of highly-performant, easy-to-maintain, and extensible external data sources. 此 API 仍在紧密开发中,预期会进行重大更改。This API is still undergoing active development and breaking changes should be expected.
  • PySpark 性能增强功能:[SPARK-22216][SPARK-21187]:通过快速数据序列化和向量化执行,显著改进了 Python 的性能和互操作性。PySpark Performance Enhancements: [SPARK-22216][SPARK-21187]: Significant improvements in Python performance and interoperability by fast data serialization and vectorized execution.

性能和稳定性Performance and stability

其他值得注意的更改Other notable changes

编程指南:Spark RDD 编程指南Spark SQL 数据帧和数据集指南Programming guides: Spark RDD Programming Guide and Spark SQL DataFrames and Datasets Guide.

结构化流式处理Structured Streaming

连续处理Continuous Processing

  • 一种新的执行引擎,只需更改一行用户代码,就可以将流式处理查询的端到端延迟减少到亚毫秒级别。A new execution engine that can execute streaming queries with sub-millisecond end-to-end latency by changing only a single line of user code. 有关详细信息,请参阅编程指南。To learn more see the programming guide.

流之间的联接Stream-Stream Joins

  • 能够联接两个数据流,同时缓冲行,直到匹配的元组到达另一个流。Ability to join two streams of data, buffering rows until matching tuples arrive in the other stream. 谓词可用于针对事件时间列绑定需要保留的状态量。Predicates can be used against event time columns to bound the amount of state that needs to be retained.

流式处理 API V2Streaming API V2

  • 用于插入适用于批处理、微批处理和连续执行的新源和接收器的实验性 API。An experimental API for plugging in new source and sinks that works for batch, micro-batch, and continuous execution. 此 API 仍在进行主动开发,预期将发生重大更改。This API is still undergoing active development, and breaking changes should be expected.

编程指南:结构化流编程指南Programming guide: Structured Streaming Programming Guide.

MLlibMLlib

要点Highlights

  • ML 预测现在使用更新的 API 与结构化流一起使用。ML Prediction now works with Structured Streaming, using updated APIs. 下面提供了详细信息。Details follow.

已改进的新 APINew and improved APIs

  • [SPARK-21866]:将图像读取到数据帧的内置支持 (Scala/Java/Python)。[SPARK-21866]: Built-in support for reading images into a DataFrame (Scala/Java/Python).
  • [SPARK-19634]:数据帧函数用于对矢量列进行描述性汇总统计信息 (Scala/Java)。[SPARK-19634]: DataFrame functions for descriptive summary statistics over vector columns (Scala/Java).
  • [SPARK-14516]:用于优化群集算法的 ClusteringEvaluator,支持余弦剪影和方形欧几里得剪影指标 (Scala/Java/Python)。[SPARK-14516]: ClusteringEvaluator for tuning clustering algorithms, supporting Cosine silhouette and squared Euclidean silhouette metrics (Scala/Java/Python).
  • [SPARK-3181]:Huber loss 的强大线性回归 (Scala/Java/Python)。[SPARK-3181]: Robust linear regression with Huber loss (Scala/Java/Python).
  • [SPARK-13969]FeatureHasher 转换器 (Scala/Java/Python)。[SPARK-13969]: FeatureHasher transformer (Scala/Java/Python).
  • 多个功能转换器的多列支持:Multiple column support for several feature transformers:
  • [SPARK-21633]SPARK-21542]:已改进对 Python 中自定义管道组件的支持。[SPARK-21633] and SPARK-21542]: Improved support for custom pipeline components in Python.

新功能New features

  • [SPARK-21087]CrossValidatorTrainValidationSplit 在拟合时可收集所有模型 (Scala/Java)。[SPARK-21087]: CrossValidator and TrainValidationSplit can collect all models when fitting (Scala/Java). 这使你可以检查或保存所有拟合的型号。This allows you to inspect or save all fitted models.
  • [SPARK-19357]:元算法 CrossValidatorTrainValidationSplit,OneVsRest` 支持在并行 Spark 作业中拟合多个子模型时使用并行度参数。[SPARK-19357]: Meta-algorithms CrossValidator, TrainValidationSplit,OneVsRest` support a parallelism Param for fitting multiple sub-models in parallel Spark jobs.
  • [SPARK-17139]:多项式逻辑回归模型摘要 (Scala/Java/Python)[SPARK-17139]: Model summary for multinomial logistic regression (Scala/Java/Python)
  • [SPARK-18710]:在 GLM 中添加偏移量。[SPARK-18710]: Add offset in GLM.
  • [SPARK-20199]:已将 featureSubsetStrategy 参数添加到 GBTClassifierGBTRegressor[SPARK-20199]: Added featureSubsetStrategy Param to GBTClassifier and GBTRegressor. 使用此功能可以显著提升训练速度;此选项是 xgboost 的主要优势。Using this to subsample features can significantly improve training speed; this option has been a key strength of xgboost.

其他值得注意的更改Other notable changes

  • [SPARK-22156]:已修复 num 迭代的 Word2Vec 学习速率缩放。[SPARK-22156]: Fixed Word2Vec learning rate scaling with num iterations. 新的学习速率设置为与原始 Word2Vec C 代码匹配,应能提供更好的训练结果。The new learning rate is set to match the original Word2Vec C code and should give better results from training.
  • [SPARK-22289]:添加对矩阵参数的 JSON 支持(这解决了在系数上使用边界时 LogisticRegressionModel 的一个 ML 持久性 bug。)[SPARK-22289]: Add JSON support for Matrix parameters (This fixed a bug for ML persistence with LogisticRegressionModel when using bounds on coefficients.)
  • [SPARK-22700]Bucketizer.transform 错误删除了包含 NaN 的行。[SPARK-22700]: Bucketizer.transform incorrectly drops row containing NaN. 当参数 handleInvalid 设置为“跳过”时,如果另一个(不相关的)列具有 NaN 值,则 Bucketizer 将删除输入列中具有有效值的行。When Param handleInvalid was set to “skip,” Bucketizer would drop a row with a valid value in the input column if another (irrelevant) column had a NaN value.
  • [SPARK-22446]:当 handleInvalid 设置为“错误”时,Catalyst 优化器有时会导致 StringIndexerModel 引发不正确的“标签不可见”异常。[SPARK-22446]: Catalyst optimizer sometimes caused StringIndexerModel to throw an incorrect “Unseen label” exception when handleInvalid was set to “error.” 由于谓词下推,筛选的数据可能会发生这种情况,即使在从输入数据集中筛选出无效行后,也会导致错误。This could happen for filtered data, due to predicate push-down, causing errors even after invalid rows had already been filtered from the input dataset.
  • [SPARK-21681]:解决了多项式逻辑回归中的一个边缘案例 bug:导致某些功能零方差时系数不正确。[SPARK-21681]: Fixed an edge case bug in multinomial logistic regression that resulted in incorrect coefficients when some features had zero variance.
  • 主要优化:Major optimizations:
    • [SPARK-22707]:已降低 CrossValidator 的内存消耗。[SPARK-22707]: Reduced memory consumption for CrossValidator.
    • [SPARK-22949]:已降低 TrainValidationSplit 的内存消耗。[SPARK-22949]: Reduced memory consumption for TrainValidationSplit.
    • [SPARK-21690]Imputer 应使用单个传递数据来进行训练。[SPARK-21690]: Imputer should train using a single pass over the data.
    • [SPARK-14371]OnlineLDAOptimizer 避免将每个小型批处理的统计信息收集到驱动程序。[SPARK-14371]: OnlineLDAOptimizer avoids collecting statistics to the driver for each mini-batch.

编程指南:机器学习库 (MLlib) 指南Programming guide: Machine Learning Library (MLlib) Guide.

SparkRSparkR

SparkR 在 2.3.0 版本中的重点改进是提升 UDF 的稳定性,并在现有 API 周围添加几个新的 SparkR 包装器:The main focus of SparkR in the 2.3.0 release was improving the stability of UDFs and adding several new SparkR wrappers around existing APIs:

主要功能Major features

编程指南:SparkR(Spark 上的 R)Programming guide: SparkR (R on Spark).

GraphXGraphX

优化Optimizations

  • [SPARK-5484]:Pregel 现在定期检查点以避免 StackOverflowErrors[SPARK-5484]: Pregel now checkpoints periodically to avoid StackOverflowErrors.
  • [SPARK-21491]:几个地方的性能改进小。[SPARK-21491]: Small performance improvement in several places.

编程指南:GraphX 编程指南Programming guide: GraphX Programming Guide.

弃用功能Deprecations

PythonPython

  • [SPARK-23122]:弃用 SQLContext 中 UDF 和 PySpark 中 Catalogregister*[SPARK-23122]: Deprecate register* for UDFs in SQLContext and Catalog in PySpark

MLlibMLlib

  • [SPARK-13030]:已弃用 OneHotEncoder,并将在 3.0 中删除它。[SPARK-13030]: OneHotEncoder has been deprecated and will be removed in 3.0. 该版本已替换为新 OneHotEncoderEstimatorIt has been replaced by the new OneHotEncoderEstimator. OneHotEncoderEstimator 将在 3.0 中重命名为 OneHotEncoder(但 OneHotEncoderEstimator 将保留为别名)。OneHotEncoderEstimator will be renamed to OneHotEncoder in 3.0 (but OneHotEncoderEstimator will be kept as an alias).

行为变更Changes of behavior

SparkSQLSparkSQL

  • [SPARK-22036]:默认情况下,如果无法提供准确的表示形式,则小数之间的算术运算返回舍入值(而不是像以前的版本那样返回 NULL[SPARK-22036]: By default arithmetic operations between decimals return a rounded value if an exact representation is not possible (instead of returning NULL in the prior versions)
  • [SPARK-22937]:当所有输入都是二进制的时,SQL elt() 将以二进制形式返回输出。[SPARK-22937]: When all inputs are binary, SQL elt() returns an output as binary. 否则,它将以字符串形式返回。Otherwise, it returns as a string. 在以前的版本中,无论输入类型如何,它始终以字符串格式返回。In prior versions, it always returned as a string regardless of input types.
  • [SPARK-22895]:如果可能,第一个非确定性谓词之后的 Join/Filter 的确定性谓词也会下推/通过子运算符。[SPARK-22895]: The Join/Filter’s deterministic predicates that are after the first non-deterministic predicates are also pushed down/through the child operators, if possible. 在以前的版本中,这些筛选器不符合谓词下推条件。In the prior versions, these filters were not eligible for predicate pushdown.
  • [SPARK-22771]:当所有输入都是二进制的时,functions.concat() 将以二进制形式返回输出。[SPARK-22771]: When all inputs are binary, functions.concat() returns an output as binary. 否则,它将以字符串形式返回。Otherwise, it returns as a string. 在以前的版本中,无论输入类型如何,它始终以字符串格式返回。In the prior versions, it always returned as a string regardless of input types.
  • [SPARK-22489]:当任一联接方都可广播时,我们倾向于广播在广播提示中显式指定的表。[SPARK-22489]: When either of the join sides is broadcastable, we prefer to broadcast the table that is explicitly specified in a broadcast hint.
  • [SPARK-22165]:分区列推理以前发现不同推断类型的通用类型不正确。[SPARK-22165]: Partition column inference previously found incorrect common type for different inferred types. 例如,以前它最终将 double 类型作为 double 类型和 date 类型的通用类型。For example, previously it ended up with double type as the common type for double type and date type. 现在,它找到了此类冲突的正确常见类型。Now it finds the correct common type for such conflicts. 有关详细信息,请参阅迁移指南。For details, see the migration guide.
  • [SPARK-22100]percentile_approx 函数之前接受 numeric 类型输入和输出的 double 类型结果。[SPARK-22100]: The percentile_approx function previously accepted numeric type input and outputted double type results. 现在它支持 date 类型、timestamp 类型和 numeric 类型作为输入类型。Now it supports date type, timestamp type and numeric types as input types. 结果类型也更改为与输入类型相同,对于百分位数来说,这更合理。The result type is also changed to be the same as the input type, which is more reasonable for percentiles.
  • [SPARK-21610]:当引用的列仅包含内部的损坏记录列(默认情况下名为 _corrupt_record)时,不允许来自原始 JSON/CSV 文件的查询。[SPARK-21610]: the queries from raw JSON/CSV files are disallowed when the referenced columns only include the internal corrupt record column (named _corrupt_record by default). 而是可以缓存或保存分析的结果,然后发送相同的查询。Instead, you can cache or save the parsed results and then send the same query.
  • [SPARK-23421]:从 Spark 2.2.1 和 2.3.0 开始,当数据源表同时具有分区架构和数据架构中都含有的列时,架构始终在运行时进行推断。[SPARK-23421]: Since Spark 2.2.1 and 2.3.0, the schema is always inferred at runtime when the data source tables have the columns that exist in both partition schema and data schema. 推断的架构没有分区列。The inferred schema does not have the partitioned columns. 读取表时,Spark 会以这些重叠列的分区值为准,而不是存储在数据源文件中的值。When reading the table, Spark respects the partition values of these overlapping columns instead of the values stored in the data source files. 在 2.2.0 和 2.1.x 版本中,对推断的架构进行了分区,但表中的数据对用户不可见(即结果集为空)。In 2.2.0 and 2.1.x release, the inferred schema is partitioned but the data of the table is invisible to users (i.e., the result set is empty).

PySparkPySpark

  • [SPARK-19732]na.fill()fillna 也接受布尔值,并将 null 替换为布尔值。[SPARK-19732]: na.fill() or fillna also accepts boolean and replaces nulls with booleans. 在以前的 Spark 版本中,PySpark 直接忽略它并返回原始数据集/数据帧。In prior Spark versions, PySpark just ignores it and returns the original Dataset/DataFrame.
  • [SPARK-22395]:使用pandas 相关的功能(如 Pandas 数据帧的 toPandascreateDataFrame 等)时需要 pandas 0.19.2 或以上版本。[SPARK-22395]: pandas 0.19.2 or upper is required for using pandas related functionalities, such as toPandas, createDataFrame from pandas DataFrame, etc.
  • [SPARK-22395]:Pandas 相关功能的时间戳值的行为更改为遵循会话时区,以前的版本会忽略会话时区。[SPARK-22395]: The behavior of timestamp values for pandas related functionalities was changed to respect session timezone, which is ignored in the prior versions.
  • [SPARK-23328]:当 to_replace 不是字典时,df.replace 不允许忽略 value[SPARK-23328]: df.replace does not allow to omit value when to_replace is not a dictionary. 以前,在其他情况下可以省略 value,默认情况下存在 None,这与常识不符且容易出错。Previously, value could be omitted in the other cases and had None by default, which is counter-intuitive and error prone.

MLlibMLlib

  • 重大 API 更改:对逻辑回归模型摘要的类和特征层次结构进行了优化,多类摘要的添加变得更简洁、性能更好。Breaking API Changes: The class and trait hierarchy for logistic regression model summaries was changed to be cleaner and better accommodate the addition of the multi-class summary. 这是将 LogisticRegressionTrainingSummary 转换为 BinaryLogisticRegressionTrainingSummary 的用户代码的重大更改。This is a breaking change for user code that casts a LogisticRegressionTrainingSummary to a BinaryLogisticRegressionTrainingSummary. 用户应改为使用 model.binarySummary 方法。Users should instead use the model.binarySummary method. 请参阅 [SPARK-17139]:获取详细信息(请注意这是 @Experimental API)。See [SPARK-17139]: for more detail (note this is an @Experimental API). 这不会影响 Python 摘要方法,该方法仍适用于多项式和二进制情况。This does not affect the Python summary method, which will still work correctly for both multinomial and binary cases.
  • [SPARK-21806]BinaryClassificationMetrics.pr():第一个点 (0.0, 1.0) 存在误导性,已替换为 (0.0, p),其中精度 p 与最小撤回点匹配。[SPARK-21806]: BinaryClassificationMetrics.pr(): first point (0.0, 1.0) is misleading and has been replaced by (0.0, p) where precision p matches the lowest recall point.
  • [SPARK-16957]:决策树现在选择拆分值时使用加权中点。[SPARK-16957]: Decision trees now use weighted midpoints when choosing split values. 这可能会改变模型训练的结果。This may change results from model training.
  • [SPARK-14657]:没有截距的 RFormula 现在在编码字符串术语时输出引用类别,以便匹配本机 R 行为。[SPARK-14657]: RFormula without an intercept now outputs the reference category when encoding string terms, in order to match native R behavior. 这可能会改变模型训练的结果。This may change results from model training.
  • [SPARK-21027]OneVsRest 中使用的默认并行度现在设置为 1(即串行)。[SPARK-21027]: The default parallelism used in OneVsRest is now set to 1 (i.e. serial). 在 2.2 和更早版本中,并行级别设置为 Scala 中的默认线程池大小。In 2.2 and earlier versions, the level of parallelism was set to the default threadpool size in Scala. 这可能会更改性能。This may change performance.
  • [SPARK-21523]:已将 Breeze 升级到 0.13.2[SPARK-21523]: Upgraded Breeze to 0.13.2. 这包括对 L-BFGS 的强大 Wolfe 行搜索中的一个重要 bug 修补程序。This included an important bug fix in strong Wolfe line search for L-BFGS.
  • [SPARK-15526]:JPMML 依赖项现在已着色。[SPARK-15526]: The JPMML dependency is now shaded.
  • 令请参阅“Bug 修补程序”部分,了解因修复 bug 导致的行为更改。Also see the “Bug fixes” section for behavior changes resulting from fixing bugs.

已知问题Known issues

  • [SPARK-23523][SQL]:由规则 OptimizeMetadataOnlyQuery 引起的不正确结果。[SPARK-23523][SQL]: Incorrect result caused by the rule OptimizeMetadataOnlyQuery.
  • [SPARK-23406]:流间自联接中存在 Bug。[SPARK-23406]: Bugs in stream-stream self-joins.

维护更新Maintenance updates

请参阅 Databricks Runtime 4.0 维护更新See Databricks Runtime 4.0 maintenance updates.

系统环境System environment

  • 操作系统:Ubuntu 16.04.4 LTSOperating System: Ubuntu 16.04.4 LTS
  • Java:1.8.0_151Java: 1.8.0_151
  • Scala:2.11.8Scala: 2.11.8
  • Python:2.7.12(如果启用 Python 3 支持,则为 3.5.2)Python: 2.7.12 (or 3.5.2 if Python 3 support is enabled)
  • R:R 版本 3.4.3 (2017-11-30)R: R version 3.4.3 (2017-11-30)
  • GPU 群集:安装了以下 NVIDIA GPU 库:GPU clusters: The following NVIDIA GPU libraries are installed:
    • Tesla 驱动程序 375.66Tesla driver 375.66
    • CUDA 8.0CUDA 8.0
    • CUDNN 6.0CUDNN 6.0

已安装的 Python 库Installed Python libraries

Library 版本Version Library 版本Version Library 版本Version
ansi2htmlansi2html 1.1.11.1.1 argparseargparse 1.2.11.2.1 backports-abcbackports-abc 0.50.5
botoboto 2.42.02.42.0 boto3boto3 1.4.11.4.1 botocorebotocore 1.4.701.4.70
brewer2mplbrewer2mpl 1.4.11.4.1 certificertifi 2016.2.282016.2.28 cfficffi 1.7.01.7.0
chardetchardet 2.3.02.3.0 coloramacolorama 0.3.70.3.7 configobjconfigobj 5.0.65.0.6
密码系统cryptography 1.51.5 cyclercycler 0.10.00.10.0 CythonCython 0.24.10.24.1
decoratordecorator 4.0.104.0.10 docutilsdocutils 0.140.14 enum34enum34 1.1.61.1.6
et-xmlfileet-xmlfile 1.0.11.0.1 freetype-pyfreetype-py 1.0.21.0.2 funcsigsfuncsigs 1.0.21.0.2
fusepyfusepy 2.0.42.0.4 Futurefutures 3.2.03.2.0 ggplotggplot 0.6.80.6.8
html5libhtml5lib 0.9990.999 idnaidna 2.12.1 ipaddressipaddress 1.0.161.0.16
ipythonipython 2.2.02.2.0 ipython-genutilsipython-genutils 0.1.00.1.0 jdcaljdcal 1.21.2
Jinja2Jinja2 2.82.8 jmespathjmespath 0.9.00.9.0 llvmlitellvmlite 0.13.00.13.0
lxmllxml 3.6.43.6.4 MarkupSafeMarkupSafe 0.230.23 matplotlibmatplotlib 1.5.31.5.3
mpld3mpld3 0.20.2 msgpack-pythonmsgpack-python 0.4.70.4.7 ndg-httpsclientndg-httpsclient 0.3.30.3.3
numbanumba 0.28.10.28.1 numpynumpy 1.11.11.11.1 openpyxlopenpyxl 2.3.22.3.2
pandaspandas 0.19.20.19.2 pathlib2pathlib2 2.1.02.1.0 patsypatsy 0.4.10.4.1
pexpectpexpect 4.0.14.0.1 picklesharepickleshare 0.7.40.7.4 PillowPillow 3.3.13.3.1
pippip 9.0.19.0.1 plyply 3.93.9 prompt-toolkitprompt-toolkit 1.0.71.0.7
psycopg2psycopg2 2.6.22.6.2 ptyprocessptyprocess 0.5.10.5.1 py4jpy4j 0.10.30.10.3
pyarrowpyarrow 0.8.00.8.0 pyasn1pyasn1 0.1.90.1.9 pycparserpycparser 2.142.14
PygmentsPygments 2.1.32.1.3 PyGObjectPyGObject 3.20.03.20.0 pyOpenSSLpyOpenSSL 16.0.016.0.0
pyparsingpyparsing 2.2.02.2.0 pypngpypng 0.0.180.0.18 PythonPython 2.7.122.7.12
python-dateutilpython-dateutil 2.5.32.5.3 python-geohashpython-geohash 0.8.50.8.5 pytzpytz 2016.6.12016.6.1
请求requests 2.11.12.11.1 s3transfers3transfer 0.1.90.1.9 scikit-learnscikit-learn 0.18.10.18.1
scipyscipy 0.18.10.18.1 scourscour 0.320.32 seabornseaborn 0.7.10.7.1
setuptoolssetuptools 38.5.138.5.1 simplejsonsimplejson 3.8.23.8.2 simples3simples3 1.01.0
singledispatchsingledispatch 3.4.0.33.4.0.3 6six 1.10.01.10.0 statsmodelsstatsmodels 0.6.10.6.1
tornadotornado 4.5.34.5.3 traitletstraitlets 4.3.04.3.0 urllib3urllib3 1.19.11.19.1
virtualenvvirtualenv 15.0.115.0.1 wcwidthwcwidth 0.1.70.1.7 wheelwheel 0.30.00.30.0
wsgirefwsgiref 0.1.20.1.2

已安装的 R 库Installed R libraries

Library 版本Version Library 版本Version Library 版本Version
abindabind 1.4-51.4-5 assertthatassertthat 0.2.00.2.0 backportsbackports 1.1.11.1.1
basebase 3.4.33.4.3 BHBH 1.65.0-11.65.0-1 bindrbindr 0.10.1
bindrcppbindrcpp 0.20.2 bitbit 1.1-121.1-12 bit64bit64 0.9-70.9-7
bitopsbitops 1.0-61.0-6 blobblob 1.1.01.1.0 bootboot 1.3-201.3-20
brewbrew 1.0-61.0-6 broombroom 0.4.30.4.3 carcar 2.1-62.1-6
caretcaret 6.0-776.0-77 chronchron 2.3-512.3-51 classclass 7.3-147.3-14
clustercluster 2.0.62.0.6 codetoolscodetools 0.2-150.2-15 colorspacecolorspace 1.3-21.3-2
commonmarkcommonmark 1.41.4 compilercompiler 3.4.33.4.3 crayoncrayon 1.3.41.3.4
curlcurl 3.03.0 CVSTCVST 0.2-10.2-1 data.tabledata.table 1.10.4-31.10.4-3
datasetsdatasets 3.4.33.4.3 DBIDBI 0.70.7 ddalphaddalpha 1.3.11.3.1
DEoptimRDEoptimR 1.0-81.0-8 descdesc 1.1.11.1.1 devtoolsdevtools 1.13.41.13.4
dichromatdichromat 2.0-02.0-0 digestdigest 0.6.120.6.12 dimReddimRed 0.1.00.1.0
doMCdoMC 1.3.41.3.4 dplyrdplyr 0.7.40.7.4 DRRDRR 0.0.20.0.2
foreachforeach 1.4.31.4.3 foreignforeign 0.8-690.8-69 gbmgbm 2.1.32.1.3
ggplot2ggplot2 2.2.12.2.1 git2rgit2r 0.19.00.19.0 glmnetglmnet 2.0-132.0-13
glueglue 1.2.01.2.0 gowergower 0.1.20.1.2 graphicsgraphics 3.4.33.4.3
grDevicesgrDevices 3.4.33.4.3 gridgrid 3.4.33.4.3 gsubfngsubfn 0.6-60.6-6
gtablegtable 0.2.00.2.0 h2oh2o 3.16.0.13.16.0.1 httrhttr 1.3.11.3.1
hwriterhwriter 1.3.21.3.2 hwriterPlushwriterPlus 1.0-31.0-3 ipredipred 0.9-60.9-6
iteratorsiterators 1.0.81.0.8 jsonlitejsonlite 1.51.5 kernlabkernlab 0.9-250.9-25
KernSmoothKernSmooth 2.23-152.23-15 labelinglabeling 0.30.3 latticelattice 0.20-350.20-35
lavalava 1.5.11.5.1 lazyevallazyeval 0.2.10.2.1 littlerlittler 0.3.20.3.2
lme4lme4 1.1-141.1-14 lubridatelubridate 1.7.11.7.1 magrittrmagrittr 1.51.5
mapprojmapproj 1.2-51.2-5 mapsmaps 3.2.03.2.0 MASSMASS 7.3-487.3-48
矩阵Matrix 1.2-111.2-11 MatrixModelsMatrixModels 0.4-10.4-1 memoisememoise 1.1.01.1.0
方法methods 3.4.33.4.3 mgcvmgcv 1.8-231.8-23 mimemime 0.50.5
minqaminqa 1.2.41.2.4 mnormtmnormt 1.5-51.5-5 ModelMetricsModelMetrics 1.1.01.1.0
munsellmunsell 0.4.30.4.3 mvtnormmvtnorm 1.0-61.0-6 nlmenlme 3.1-1313.1-131
nloptrnloptr 1.0.41.0.4 nnetnnet 7.3-127.3-12 numDerivnumDeriv 2016.8-12016.8-1
opensslopenssl 0.9.90.9.9 parallelparallel 3.4.33.4.3 pbkrtestpbkrtest 0.4-70.4-7
pkgconfigpkgconfig 2.0.12.0.1 pkgKittenpkgKitten 0.1.40.1.4 plogrplogr 0.1-10.1-1
plyrplyr 1.8.41.8.4 praisepraise 1.0.01.0.0 pROCpROC 1.10.01.10.0
prodlimprodlim 1.6.11.6.1 protoproto 1.0.01.0.0 psychpsych 1.7.81.7.8
purrrpurrr 0.2.40.2.4 quantregquantreg 5.345.34 R.methodsS3R.methodsS3 1.7.11.7.1
R.ooR.oo 1.21.01.21.0 R.utilsR.utils 2.6.02.6.0 R6R6 2.2.22.2.2
randomForestrandomForest 4.6-124.6-12 RColorBrewerRColorBrewer 1.1-21.1-2 RcppRcpp 0.12.140.12.14
RcppEigenRcppEigen 0.3.3.3.10.3.3.3.1 RcppRollRcppRoll 0.2.20.2.2 RCurlRCurl 1.95-4.81.95-4.8
recipesrecipes 0.1.10.1.1 reshape2reshape2 1.4.21.4.2 rlangrlang 0.1.40.1.4
robustbaserobustbase 0.92-80.92-8 RODBCRODBC 1.3-151.3-15 roxygen2roxygen2 6.0.16.0.1
rpartrpart 4.1-124.1-12 rprojrootrprojroot 1.21.2 RserveRserve 1.7-31.7-3
RSQLiteRSQLite 2.02.0 rstudioapirstudioapi 0.70.7 scalesscales 0.5.00.5.0
sfsmiscsfsmisc 1.1-11.1-1 spsp 1.2-51.2-5 SparkRSparkR 2.3.02.3.0
SparseMSparseM 1.771.77 spatialspatial 7.3-117.3-11 splinessplines 3.4.33.4.3
sqldfsqldf 0.4-110.4-11 statmodstatmod 1.4.301.4.30 statsstats 3.4.33.4.3
stats4stats4 3.4.33.4.3 stringistringi 1.1.61.1.6 stringrstringr 1.2.01.2.0
survivalsurvival 2.41-32.41-3 tcltktcltk 3.4.33.4.3 TeachingDemosTeachingDemos 2.102.10
testthattestthat 1.0.21.0.2 tibbletibble 1.3.41.3.4 tidyrtidyr 0.7.20.7.2
tidyselecttidyselect 0.2.30.2.3 timeDatetimeDate 3042.1013042.101 工具tools 3.4.33.4.3
utilsutils 3.4.33.4.3 viridisLiteviridisLite 0.2.00.2.0 whiskerwhisker 0.3-20.3-2
withrwithr 2.1.02.1.0 xml2xml2 1.1.11.1.1

已安装的 Java 库和 Scala 库(Scala 2.11 群集版本)Installed Java and Scala libraries (Scala 2.11 cluster version)

组 IDGroup ID 项目 IDArtifact ID 版本Version
antlrantlr antlrantlr 2.7.72.7.7
com.amazonawscom.amazonaws amazon-kinesis-clientamazon-kinesis-client 1.7.31.7.3
com.amazonawscom.amazonaws aws-java-sdk-autoscalingaws-java-sdk-autoscaling 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cloudformationaws-java-sdk-cloudformation 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cloudfrontaws-java-sdk-cloudfront 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cloudhsmaws-java-sdk-cloudhsm 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cloudsearchaws-java-sdk-cloudsearch 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cloudtrailaws-java-sdk-cloudtrail 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cloudwatchaws-java-sdk-cloudwatch 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cloudwatchmetricsaws-java-sdk-cloudwatchmetrics 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-codedeployaws-java-sdk-codedeploy 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cognitoidentityaws-java-sdk-cognitoidentity 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-cognitosyncaws-java-sdk-cognitosync 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-configaws-java-sdk-config 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-coreaws-java-sdk-core 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-datapipelineaws-java-sdk-datapipeline 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-directconnectaws-java-sdk-directconnect 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-directoryaws-java-sdk-directory 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-dynamodbaws-java-sdk-dynamodb 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-ec2aws-java-sdk-ec2 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-ecsaws-java-sdk-ecs 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-efsaws-java-sdk-efs 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-elasticacheaws-java-sdk-elasticache 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-elasticbeanstalkaws-java-sdk-elasticbeanstalk 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-elasticloadbalancingaws-java-sdk-elasticloadbalancing 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-elastictranscoderaws-java-sdk-elastictranscoder 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-emraws-java-sdk-emr 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-glacieraws-java-sdk-glacier 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-iamaws-java-sdk-iam 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-importexportaws-java-sdk-importexport 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-kinesisaws-java-sdk-kinesis 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-kmsaws-java-sdk-kms 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-lambdaaws-java-sdk-lambda 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-logsaws-java-sdk-logs 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-machinelearningaws-java-sdk-machinelearning 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-opsworksaws-java-sdk-opsworks 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-rdsaws-java-sdk-rds 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-redshiftaws-java-sdk-redshift 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-route53aws-java-sdk-route53 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-s3aws-java-sdk-s3 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-sesaws-java-sdk-ses 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-simpledbaws-java-sdk-simpledb 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-simpleworkflowaws-java-sdk-simpleworkflow 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-snsaws-java-sdk-sns 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-sqsaws-java-sdk-sqs 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-ssmaws-java-sdk-ssm 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-storagegatewayaws-java-sdk-storagegateway 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-stsaws-java-sdk-sts 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-supportaws-java-sdk-support 1.11.2531.11.253
com.amazonawscom.amazonaws aws-java-sdk-swf-librariesaws-java-sdk-swf-libraries 1.11.221.11.22
com.amazonawscom.amazonaws aws-java-sdk-workspacesaws-java-sdk-workspaces 1.11.2531.11.253
com.amazonawscom.amazonaws jmespath-javajmespath-java 1.11.2531.11.253
com.carrotsearchcom.carrotsearch hppchppc 0.7.20.7.2
com.chuusaicom.chuusai shapeless_2.11shapeless_2.11 2.3.22.3.2
com.clearspring.analyticscom.clearspring.analytics 流 (stream)stream 2.7.02.7.0
com.databrickscom.databricks RserveRserve 1.8-31.8-3
com.databrickscom.databricks dbml-local_2.11dbml-local_2.11 0.3.0-db1-spark2.30.3.0-db1-spark2.3
com.databrickscom.databricks dbml-local_2.11-testsdbml-local_2.11-tests 0.3.0-db1-spark2.30.3.0-db1-spark2.3
com.databrickscom.databricks jets3tjets3t 0.7.1-00.7.1-0
com.databricks.scalapbcom.databricks.scalapb compilerplugin_2.11compilerplugin_2.11 0.4.15-90.4.15-9
com.databricks.scalapbcom.databricks.scalapb scalapb-runtime_2.11scalapb-runtime_2.11 0.4.15-90.4.15-9
com.esotericsoftwarecom.esotericsoftware kryo-shadedkryo-shaded 3.0.33.0.3
com.esotericsoftwarecom.esotericsoftware minlogminlog 1.3.01.3.0
com.fasterxmlcom.fasterxml classmateclassmate 1.0.01.0.0
com.fasterxml.jackson.corecom.fasterxml.jackson.core jackson-annotationsjackson-annotations 2.6.72.6.7
com.fasterxml.jackson.corecom.fasterxml.jackson.core jackson-corejackson-core 2.6.72.6.7
com.fasterxml.jackson.corecom.fasterxml.jackson.core jackson-databindjackson-databind 2.6.7.12.6.7.1
com.fasterxml.jackson.dataformatcom.fasterxml.jackson.dataformat jackson-dataformat-cborjackson-dataformat-cbor 2.6.72.6.7
com.fasterxml.jackson.datatypecom.fasterxml.jackson.datatype jackson-datatype-jodajackson-datatype-joda 2.6.72.6.7
com.fasterxml.jackson.modulecom.fasterxml.jackson.module jackson-module-paranamerjackson-module-paranamer 2.6.72.6.7
com.fasterxml.jackson.modulecom.fasterxml.jackson.module jackson-module-scala_2.11jackson-module-scala_2.11 2.6.7.12.6.7.1
com.github.fommilcom.github.fommil jniloaderjniloader 1.11.1
com.github.fommil.netlibcom.github.fommil.netlib corecore 1.1.21.1.2
com.github.fommil.netlibcom.github.fommil.netlib native_ref-javanative_ref-java 1.11.1
com.github.fommil.netlibcom.github.fommil.netlib native_ref-java-nativesnative_ref-java-natives 1.11.1
com.github.fommil.netlibcom.github.fommil.netlib native_system-javanative_system-java 1.11.1
com.github.fommil.netlibcom.github.fommil.netlib native_system-java-nativesnative_system-java-natives 1.11.1
com.github.fommil.netlibcom.github.fommil.netlib netlib-native_ref-linux-x86_64-nativesnetlib-native_ref-linux-x86_64-natives 1.11.1
com.github.fommil.netlibcom.github.fommil.netlib netlib-native_system-linux-x86_64-nativesnetlib-native_system-linux-x86_64-natives 1.11.1
com.github.lubencom.github.luben zstd-jnizstd-jni 1.3.2-21.3.2-2
com.github.rwlcom.github.rwl jtransformsjtransforms 2.4.02.4.0
com.google.code.findbugscom.google.code.findbugs jsr305jsr305 2.0.12.0.1
com.google.code.gsoncom.google.code.gson gsongson 2.2.42.2.4
com.google.guavacom.google.guava guavaguava 15.015.0
com.google.protobufcom.google.protobuf protobuf-javaprotobuf-java 2.6.12.6.1
com.googlecode.javaewahcom.googlecode.javaewah JavaEWAHJavaEWAH 0.3.20.3.2
com.h2databasecom.h2database h2h2 1.3.1741.3.174
com.jamesmurty.utilscom.jamesmurty.utils java-xmlbuilderjava-xmlbuilder 1.11.1
com.jcraftcom.jcraft jschjsch 0.1.500.1.50
com.jolboxcom.jolbox bonecpbonecp 0.8.0.RELEASE0.8.0.RELEASE
com.mchangecom.mchange c3p0c3p0 0.9.5.10.9.5.1
com.mchangecom.mchange mchange-commons-javamchange-commons-java 0.2.100.2.10
com.microsoft.azurecom.microsoft.azure azure-data-lake-store-sdkazure-data-lake-store-sdk 2.0.112.0.11
com.microsoft.sqlservercom.microsoft.sqlserver mssql-jdbcmssql-jdbc 6.2.2.jre86.2.2.jre8
com.ningcom.ning compress-lzfcompress-lzf 1.0.31.0.3
com.sun.mailcom.sun.mail javax.mailjavax.mail 1.5.21.5.2
com.thoughtworks.paranamercom.thoughtworks.paranamer paranamerparanamer 2.82.8
com.trueaccord.lensescom.trueaccord.lenses lenses_2.11lenses_2.11 0.30.3
com.twittercom.twitter chill-javachill-java 0.8.40.8.4
com.twittercom.twitter chill_2.11chill_2.11 0.8.40.8.4
com.twittercom.twitter parquet-hadoop-bundleparquet-hadoop-bundle 1.6.01.6.0
com.twittercom.twitter util-app_2.11util-app_2.11 6.23.06.23.0
com.twittercom.twitter util-core_2.11util-core_2.11 6.23.06.23.0
com.twittercom.twitter util-jvm_2.11util-jvm_2.11 6.23.06.23.0
com.typesafecom.typesafe configconfig 1.2.11.2.1
com.typesafe.scala-loggingcom.typesafe.scala-logging scala-logging-api_2.11scala-logging-api_2.11 2.1.22.1.2
com.typesafe.scala-loggingcom.typesafe.scala-logging scala-logging-slf4j_2.11scala-logging-slf4j_2.11 2.1.22.1.2
com.univocitycom.univocity univocity-parsersunivocity-parsers 2.5.92.5.9
com.vlkancom.vlkan flatbuffersflatbuffers 1.2.0-3f79e0551.2.0-3f79e055
com.zaxxercom.zaxxer HikariCPHikariCP 2.4.12.4.1
commons-beanutilscommons-beanutils commons-beanutilscommons-beanutils 1.7.01.7.0
commons-beanutilscommons-beanutils commons-beanutils-corecommons-beanutils-core 1.8.01.8.0
commons-clicommons-cli commons-clicommons-cli 1.21.2
commons-codeccommons-codec commons-codeccommons-codec 1.101.10
commons-collectionscommons-collections commons-collectionscommons-collections 3.2.23.2.2
commons-configurationcommons-configuration commons-configurationcommons-configuration 1.61.6
commons-dbcpcommons-dbcp commons-dbcpcommons-dbcp 1.41.4
commons-digestercommons-digester commons-digestercommons-digester 1.81.8
commons-httpclientcommons-httpclient commons-httpclientcommons-httpclient 3.13.1
commons-iocommons-io commons-iocommons-io 2.42.4
commons-langcommons-lang commons-langcommons-lang 2.62.6
commons-loggingcommons-logging commons-loggingcommons-logging 1.1.31.1.3
commons-netcommons-net commons-netcommons-net 2.22.2
commons-poolcommons-pool commons-poolcommons-pool 1.5.41.5.4
info.ganglia.gmetric4jinfo.ganglia.gmetric4j gmetric4jgmetric4j 1.0.71.0.7
io.airliftio.airlift aircompressoraircompressor 0.80.8
io.dropwizard.metricsio.dropwizard.metrics metrics-coremetrics-core 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-gangliametrics-ganglia 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-graphitemetrics-graphite 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-healthchecksmetrics-healthchecks 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-jetty9metrics-jetty9 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-jsonmetrics-json 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-jvmmetrics-jvm 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-log4jmetrics-log4j 3.1.53.1.5
io.dropwizard.metricsio.dropwizard.metrics metrics-servletsmetrics-servlets 3.1.53.1.5
io.nettyio.netty nettynetty 3.9.9.Final3.9.9.Final
io.nettyio.netty netty-allnetty-all 4.1.17.Final4.1.17.Final
io.prometheusio.prometheus simpleclientsimpleclient 0.0.160.0.16
io.prometheusio.prometheus simpleclient_commonsimpleclient_common 0.0.160.0.16
io.prometheusio.prometheus simpleclient_dropwizardsimpleclient_dropwizard 0.0.160.0.16
io.prometheusio.prometheus simpleclient_servletsimpleclient_servlet 0.0.160.0.16
io.prometheus.jmxio.prometheus.jmx 收集器collector 0.70.7
javax.activationjavax.activation activationactivation 1.1.11.1.1
javax.annotationjavax.annotation javax.annotation-apijavax.annotation-api 1.21.2
javax.eljavax.el javax.el-apijavax.el-api 2.2.42.2.4
javax.jdojavax.jdo jdo-apijdo-api 3.0.13.0.1
javax.servletjavax.servlet javax.servlet-apijavax.servlet-api 3.1.03.1.0
javax.servlet.jspjavax.servlet.jsp jsp-apijsp-api 2.12.1
javax.transactionjavax.transaction jtajta 1.11.1
javax.validationjavax.validation validation-apivalidation-api 1.1.0.Final1.1.0.Final
javax.ws.rsjavax.ws.rs javax.ws.rs-apijavax.ws.rs-api 2.0.12.0.1
javax.xml.bindjavax.xml.bind jaxb-apijaxb-api 2.2.22.2.2
javax.xml.streamjavax.xml.stream stax-apistax-api 1.0-21.0-2
javolutionjavolution javolutionjavolution 5.5.15.5.1
jlinejline jlinejline 2.112.11
joda-timejoda-time joda-timejoda-time 2.9.32.9.3
log4jlog4j apache-log4j-extrasapache-log4j-extras 1.2.171.2.17
log4jlog4j log4jlog4j 1.2.171.2.17
net.hydromaticnet.hydromatic eigenbase-propertieseigenbase-properties 1.1.51.1.5
net.ihardernet.iharder base64base64 2.3.82.3.8
net.java.dev.jets3tnet.java.dev.jets3t jets3tjets3t 0.9.40.9.4
net.razorvinenet.razorvine pyrolitepyrolite 4.134.13
net.sf.jpamnet.sf.jpam jpamjpam 1.11.1
net.sf.opencsvnet.sf.opencsv opencsvopencsv 2.32.3
net.sf.supercsvnet.sf.supercsv super-csvsuper-csv 2.2.02.2.0
net.sourceforge.f2jnet.sourceforge.f2j arpack_combined_allarpack_combined_all 0.10.1
org.acpltorg.acplt oncrpconcrpc 1.0.71.0.7
org.antlrorg.antlr ST4ST4 4.0.44.0.4
org.antlrorg.antlr antlr-runtimeantlr-runtime 3.43.4
org.antlrorg.antlr antlr4-runtimeantlr4-runtime 4.74.7
org.antlrorg.antlr stringtemplatestringtemplate 3.2.13.2.1
org.apache.antorg.apache.ant antant 1.9.21.9.2
org.apache.antorg.apache.ant ant-jschant-jsch 1.9.21.9.2
org.apache.antorg.apache.ant ant-launcherant-launcher 1.9.21.9.2
org.apache.arroworg.apache.arrow arrow-formatarrow-format 0.8.00.8.0
org.apache.arroworg.apache.arrow arrow-memoryarrow-memory 0.8.00.8.0
org.apache.arroworg.apache.arrow arrow-vectorarrow-vector 0.8.00.8.0
org.apache.avroorg.apache.avro avroavro 1.7.71.7.7
org.apache.avroorg.apache.avro avro-ipcavro-ipc 1.7.71.7.7
org.apache.avroorg.apache.avro avro-ipc-testsavro-ipc-tests 1.7.71.7.7
org.apache.avroorg.apache.avro avro-mapred-hadoop2avro-mapred-hadoop2 1.7.71.7.7
org.apache.calciteorg.apache.calcite calcite-avaticacalcite-avatica 1.2.0-incubating1.2.0-incubating
org.apache.calciteorg.apache.calcite calcite-corecalcite-core 1.2.0-incubating1.2.0-incubating
org.apache.calciteorg.apache.calcite calcite-linq4jcalcite-linq4j 1.2.0-incubating1.2.0-incubating
org.apache.commonsorg.apache.commons commons-compresscommons-compress 1.4.11.4.1
org.apache.commonsorg.apache.commons commons-cryptocommons-crypto 1.0.01.0.0
org.apache.commonsorg.apache.commons commons-lang3commons-lang3 3.53.5
org.apache.commonsorg.apache.commons commons-math3commons-math3 3.4.13.4.1
org.apache.curatororg.apache.curator curator-clientcurator-client 2.7.12.7.1
org.apache.curatororg.apache.curator curator-frameworkcurator-framework 2.7.12.7.1
org.apache.curatororg.apache.curator curator-recipescurator-recipes 2.7.12.7.1
org.apache.derbyorg.apache.derby derbyderby 10.12.1.110.12.1.1
org.apache.directory.apiorg.apache.directory.api api-asn1-apiapi-asn1-api 1.0.0-M201.0.0-M20
org.apache.directory.apiorg.apache.directory.api api-utilapi-util 1.0.0-M201.0.0-M20
org.apache.directory.serverorg.apache.directory.server apacheds-i18napacheds-i18n 2.0.0-M152.0.0-M15
org.apache.directory.serverorg.apache.directory.server apacheds-kerberos-codecapacheds-kerberos-codec 2.0.0-M152.0.0-M15
org.apache.hadooporg.apache.hadoop hadoop-annotationshadoop-annotations 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-authhadoop-auth 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-clienthadoop-client 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-commonhadoop-common 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-hdfshadoop-hdfs 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-mapreduce-client-apphadoop-mapreduce-client-app 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-mapreduce-client-commonhadoop-mapreduce-client-common 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-mapreduce-client-corehadoop-mapreduce-client-core 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-mapreduce-client-jobclienthadoop-mapreduce-client-jobclient 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-mapreduce-client-shufflehadoop-mapreduce-client-shuffle 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-yarn-apihadoop-yarn-api 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-yarn-clienthadoop-yarn-client 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-yarn-commonhadoop-yarn-common 2.7.32.7.3
org.apache.hadooporg.apache.hadoop hadoop-yarn-server-commonhadoop-yarn-server-common 2.7.32.7.3
org.apache.htraceorg.apache.htrace htrace-corehtrace-core 3.1.0-incubating3.1.0-incubating
org.apache.httpcomponentsorg.apache.httpcomponents httpclienthttpclient 4.5.44.5.4
org.apache.httpcomponentsorg.apache.httpcomponents httpcorehttpcore 4.4.84.4.8
org.apache.ivyorg.apache.ivy ivyivy 2.4.02.4.0
org.apache.orcorg.apache.orc orc-core-nohiveorc-core-nohive 1.4.11.4.1
org.apache.orcorg.apache.orc orc-mapreduce-nohiveorc-mapreduce-nohive 1.4.11.4.1
org.apache.parquetorg.apache.parquet parquet-columnparquet-column 1.8.2-databricks11.8.2-databricks1
org.apache.parquetorg.apache.parquet parquet-commonparquet-common 1.8.2-databricks11.8.2-databricks1
org.apache.parquetorg.apache.parquet parquet-encodingparquet-encoding 1.8.2-databricks11.8.2-databricks1
org.apache.parquetorg.apache.parquet parquet-formatparquet-format 2.3.12.3.1
org.apache.parquetorg.apache.parquet parquet-hadoopparquet-hadoop 1.8.2-databricks11.8.2-databricks1
org.apache.parquetorg.apache.parquet parquet-jacksonparquet-jackson 1.8.2-databricks11.8.2-databricks1
org.apache.thriftorg.apache.thrift libfb303libfb303 0.9.30.9.3
org.apache.thriftorg.apache.thrift libthriftlibthrift 0.9.30.9.3
org.apache.xbeanorg.apache.xbean xbean-asm5-shadedxbean-asm5-shaded 4.44.4
org.apache.zookeeperorg.apache.zookeeper zookeeperzookeeper 3.4.63.4.6
org.bouncycastleorg.bouncycastle bcprov-jdk15onbcprov-jdk15on 1.581.58
org.codehaus.jacksonorg.codehaus.jackson jackson-core-asljackson-core-asl 1.9.131.9.13
org.codehaus.jacksonorg.codehaus.jackson jackson-jaxrsjackson-jaxrs 1.9.131.9.13
org.codehaus.jacksonorg.codehaus.jackson jackson-mapper-asljackson-mapper-asl 1.9.131.9.13
org.codehaus.jacksonorg.codehaus.jackson jackson-xcjackson-xc 1.9.131.9.13
org.codehaus.janinoorg.codehaus.janino commons-compilercommons-compiler 3.0.83.0.8
org.codehaus.janinoorg.codehaus.janino janinojanino 3.0.83.0.8
org.datanucleusorg.datanucleus datanucleus-api-jdodatanucleus-api-jdo 3.2.63.2.6
org.datanucleusorg.datanucleus datanucleus-coredatanucleus-core 3.2.103.2.10
org.datanucleusorg.datanucleus datanucleus-rdbmsdatanucleus-rdbms 3.2.93.2.9
org.eclipse.jettyorg.eclipse.jetty jetty-clientjetty-client 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-continuationjetty-continuation 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-httpjetty-http 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-iojetty-io 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-jndijetty-jndi 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-plusjetty-plus 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-proxyjetty-proxy 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-securityjetty-security 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-serverjetty-server 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-servletjetty-servlet 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-servletsjetty-servlets 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-utiljetty-util 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-webappjetty-webapp 9.3.20.v201705319.3.20.v20170531
org.eclipse.jettyorg.eclipse.jetty jetty-xmljetty-xml 9.3.20.v201705319.3.20.v20170531
org.fusesource.leveldbjniorg.fusesource.leveldbjni leveldbjni-allleveldbjni-all 1.81.8
org.glassfish.hk2org.glassfish.hk2 hk2-apihk2-api 2.4.0-b342.4.0-b34
org.glassfish.hk2org.glassfish.hk2 hk2-locatorhk2-locator 2.4.0-b342.4.0-b34
org.glassfish.hk2org.glassfish.hk2 hk2-utilshk2-utils 2.4.0-b342.4.0-b34
org.glassfish.hk2org.glassfish.hk2 osgi-resource-locatorosgi-resource-locator 1.0.11.0.1
org.glassfish.hk2.externalorg.glassfish.hk2.external aopalliance-repackagedaopalliance-repackaged 2.4.0-b342.4.0-b34
org.glassfish.hk2.externalorg.glassfish.hk2.external javax.injectjavax.inject 2.4.0-b342.4.0-b34
org.glassfish.jersey.bundles.repackagedorg.glassfish.jersey.bundles.repackaged jersey-guavajersey-guava 2.22.22.22.2
org.glassfish.jersey.containersorg.glassfish.jersey.containers jersey-container-servletjersey-container-servlet 2.22.22.22.2
org.glassfish.jersey.containersorg.glassfish.jersey.containers jersey-container-servlet-corejersey-container-servlet-core 2.22.22.22.2
org.glassfish.jersey.coreorg.glassfish.jersey.core jersey-clientjersey-client 2.22.22.22.2
org.glassfish.jersey.coreorg.glassfish.jersey.core jersey-commonjersey-common 2.22.22.22.2
org.glassfish.jersey.coreorg.glassfish.jersey.core jersey-serverjersey-server 2.22.22.22.2
org.glassfish.jersey.mediaorg.glassfish.jersey.media jersey-media-jaxbjersey-media-jaxb 2.22.22.22.2
org.hibernateorg.hibernate hibernate-validatorhibernate-validator 5.1.1.Final5.1.1.Final
org.iq80.snappyorg.iq80.snappy snappysnappy 0.20.2
org.javassistorg.javassist javassistjavassist 3.18.1-GA3.18.1-GA
org.jboss.loggingorg.jboss.logging jboss-loggingjboss-logging 3.1.3.GA3.1.3.GA
org.jdbiorg.jdbi jdbijdbi 2.63.12.63.1
org.jodaorg.joda joda-convertjoda-convert 1.71.7
org.joddorg.jodd jodd-corejodd-core 3.5.23.5.2
org.json4sorg.json4s json4s-ast_2.11json4s-ast_2.11 3.2.113.2.11
org.json4sorg.json4s json4s-core_2.11json4s-core_2.11 3.2.113.2.11
org.json4sorg.json4s json4s-jackson_2.11json4s-jackson_2.11 3.2.113.2.11
org.lz4org.lz4 lz4-javalz4-java 1.4.01.4.0
org.mariadb.jdbcorg.mariadb.jdbc mariadb-java-clientmariadb-java-client 2.1.22.1.2
org.mockitoorg.mockito mockito-allmockito-all 1.9.51.9.5
org.objenesisorg.objenesis objenesisobjenesis 2.12.1
org.postgresqlorg.postgresql postgresqlpostgresql 42.1.442.1.4
org.roaringbitmaporg.roaringbitmap RoaringBitmapRoaringBitmap 0.5.110.5.11
org.rocksdborg.rocksdb rocksdbjnirocksdbjni 5.2.15.2.1
org.rosuda.REngineorg.rosuda.REngine REngineREngine 2.1.02.1.0
org.scala-langorg.scala-lang scala-compiler_2.11scala-compiler_2.11 2.11.82.11.8
org.scala-langorg.scala-lang scala-library_2.11scala-library_2.11 2.11.82.11.8
org.scala-langorg.scala-lang scala-reflect_2.11scala-reflect_2.11 2.11.82.11.8
org.scala-langorg.scala-lang scalap_2.11scalap_2.11 2.11.82.11.8
org.scala-lang.modulesorg.scala-lang.modules scala-parser-combinators_2.11scala-parser-combinators_2.11 1.0.21.0.2
org.scala-lang.modulesorg.scala-lang.modules scala-xml_2.11scala-xml_2.11 1.0.51.0.5
org.scala-sbtorg.scala-sbt test-interfacetest-interface 1.01.0
org.scalacheckorg.scalacheck scalacheck_2.11scalacheck_2.11 1.12.51.12.5
org.scalanlporg.scalanlp breeze-macros_2.11breeze-macros_2.11 0.13.20.13.2
org.scalanlporg.scalanlp breeze_2.11breeze_2.11 0.13.20.13.2
org.scalatestorg.scalatest scalatest_2.11scalatest_2.11 2.2.62.2.6
org.slf4jorg.slf4j jcl-over-slf4jjcl-over-slf4j 1.7.161.7.16
org.slf4jorg.slf4j jul-to-slf4jjul-to-slf4j 1.7.161.7.16
org.slf4jorg.slf4j slf4j-apislf4j-api 1.7.161.7.16
org.slf4jorg.slf4j slf4j-log4j12slf4j-log4j12 1.7.161.7.16
org.spark-project.hiveorg.spark-project.hive hive-beelinehive-beeline 1.2.1.spark21.2.1.spark2
org.spark-project.hiveorg.spark-project.hive hive-clihive-cli 1.2.1.spark21.2.1.spark2
org.spark-project.hiveorg.spark-project.hive hive-exechive-exec 1.2.1.spark21.2.1.spark2
org.spark-project.hiveorg.spark-project.hive hive-jdbchive-jdbc 1.2.1.spark21.2.1.spark2
org.spark-project.hiveorg.spark-project.hive hive-metastorehive-metastore 1.2.1.spark21.2.1.spark2
org.spark-project.sparkorg.spark-project.spark unusedunused 1.0.01.0.0
org.spire-mathorg.spire-math spire-macros_2.11spire-macros_2.11 0.13.00.13.0
org.spire-mathorg.spire-math spire_2.11spire_2.11 0.13.00.13.0
org.springframeworkorg.springframework spring-corespring-core 4.1.4.RELEASE4.1.4.RELEASE
org.springframeworkorg.springframework spring-testspring-test 4.1.4.RELEASE4.1.4.RELEASE
org.tukaaniorg.tukaani xzxz 1.01.0
org.typelevelorg.typelevel machinist_2.11machinist_2.11 0.6.10.6.1
org.typelevelorg.typelevel macro-compat_2.11macro-compat_2.11 1.1.11.1.1
org.xerialorg.xerial sqlite-jdbcsqlite-jdbc 3.8.11.23.8.11.2
org.xerial.snappyorg.xerial.snappy snappy-javasnappy-java 1.1.2.61.1.2.6
org.yamlorg.yaml snakeyamlsnakeyaml 1.161.16
orooro orooro 2.0.82.0.8
software.amazon.ionsoftware.amazon.ion ion-javaion-java 1.0.21.0.2
staxstax stax-apistax-api 1.0.11.0.1
xmlencxmlenc xmlencxmlenc 0.520.52