%->%                    Infix operator for composing a lambda
                        expression
[.tbl_spark             Subsetting operator for Spark dataframe
checkpoint_directory    Set/Get Spark checkpoint directory
collect_from_rds        Collect Spark data serialized in RDS format
                        into R
compile_package_jars    Compile Scala sources into a Java Archive (jar)
connection_config       Read configuration values for a connection
copy_to.spark_connection
                        Copy an R Data Frame to Spark
distinct                Distinct
download_scalac         Downloads default Scala Compilers
dplyr_hof               dplyr wrappers for Apache Spark higher order
                        functions
ensure                  Enforce Specific Structure for R Objects
fill                    Fill
filter                  Filter
find_scalac             Discover the Scala Compiler
ft_binarizer            Feature Transformation - Binarizer
                        (Transformer)
ft_bucketizer           Feature Transformation - Bucketizer
                        (Transformer)
ft_chisq_selector       Feature Transformation - ChiSqSelector
                        (Estimator)
ft_count_vectorizer     Feature Transformation - CountVectorizer
                        (Estimator)
ft_dct                  Feature Transformation - Discrete Cosine
                        Transform (DCT) (Transformer)
ft_elementwise_product
                        Feature Transformation - ElementwiseProduct
                        (Transformer)
ft_feature_hasher       Feature Transformation - FeatureHasher
                        (Transformer)
ft_hashing_tf           Feature Transformation - HashingTF
                        (Transformer)
ft_idf                  Feature Transformation - IDF (Estimator)
ft_imputer              Feature Transformation - Imputer (Estimator)
ft_index_to_string      Feature Transformation - IndexToString
                        (Transformer)
ft_interaction          Feature Transformation - Interaction
                        (Transformer)
ft_lsh                  Feature Transformation - LSH (Estimator)
ft_lsh_utils            Utility functions for LSH models
ft_max_abs_scaler       Feature Transformation - MaxAbsScaler
                        (Estimator)
ft_min_max_scaler       Feature Transformation - MinMaxScaler
                        (Estimator)
ft_ngram                Feature Transformation - NGram (Transformer)
ft_normalizer           Feature Transformation - Normalizer
                        (Transformer)
ft_one_hot_encoder      Feature Transformation - OneHotEncoder
                        (Transformer)
ft_one_hot_encoder_estimator
                        Feature Transformation - OneHotEncoderEstimator
                        (Estimator)
ft_pca                  Feature Transformation - PCA (Estimator)
ft_polynomial_expansion
                        Feature Transformation - PolynomialExpansion
                        (Transformer)
ft_quantile_discretizer
                        Feature Transformation - QuantileDiscretizer
                        (Estimator)
ft_r_formula            Feature Transformation - RFormula (Estimator)
ft_regex_tokenizer      Feature Transformation - RegexTokenizer
                        (Transformer)
ft_robust_scaler        Feature Transformation - RobustScaler
                        (Estimator)
ft_sql_transformer      Feature Transformation - SQLTransformer
ft_standard_scaler      Feature Transformation - StandardScaler
                        (Estimator)
ft_stop_words_remover   Feature Transformation - StopWordsRemover
                        (Transformer)
ft_string_indexer       Feature Transformation - StringIndexer
                        (Estimator)
ft_tokenizer            Feature Transformation - Tokenizer
                        (Transformer)
ft_vector_assembler     Feature Transformation - VectorAssembler
                        (Transformer)
ft_vector_indexer       Feature Transformation - VectorIndexer
                        (Estimator)
ft_vector_slicer        Feature Transformation - VectorSlicer
                        (Transformer)
ft_word2vec             Feature Transformation - Word2Vec (Estimator)
full_join               Full join
generic_call_interface
                        Generic Call Interface
get_spark_sql_catalog_implementation
                        Retrieve the Spark connection's SQL catalog
                        implementation property
hive_context_config     Runtime configuration interface for Hive
hof_aggregate           Apply Aggregate Function to Array Column
hof_array_sort          Sorts array using a custom comparator
hof_exists              Determine Whether Some Element Exists in an
                        Array Column
hof_filter              Filter Array Column
hof_forall              Checks whether all elements in an array satisfy
                        a predicate
hof_map_filter          Filters a map
hof_map_zip_with        Merges two maps into one
hof_transform           Transform Array Column
hof_transform_keys      Transforms keys of a map
hof_transform_values    Transforms values of a map
hof_zip_with            Combines 2 Array Columns
inner_join              Inner join
invoke                  Invoke a Method on a JVM Object
j_invoke                Invoke a Java function.
jarray                  Instantiate a Java array with a specific
                        element type.
jfloat                  Instantiate a Java float type.
jfloat_array            Instantiate an Array[Float].
join.tbl_spark          Join Spark tbls.
left_join               Left join
list_sparklyr_jars      list all sparklyr-*.jar files that have been
                        built
livy_config             Create a Spark Configuration for Livy
livy_service_start      Start Livy
ml-params               Spark ML - ML Params
ml-persistence          Spark ML - Model Persistence
ml-transform-methods    Spark ML - Transform, fit, and predict methods
                        (ml_ interface)
ml-tuning               Spark ML - Tuning
ml_aft_survival_regression
                        Spark ML - Survival Regression
ml_als                  Spark ML - ALS
ml_als_tidiers          Tidying methods for Spark ML ALS
ml_bisecting_kmeans     Spark ML - Bisecting K-Means Clustering
ml_chisquare_test       Chi-square hypothesis testing for categorical
                        data.
ml_clustering_evaluator
                        Spark ML - Clustering Evaluator
ml_corr                 Compute correlation matrix
ml_decision_tree_classifier
                        Spark ML - Decision Trees
ml_default_stop_words   Default stop words
ml_evaluate             Evaluate the Model on a Validation Set
ml_evaluator            Spark ML - Evaluators
ml_feature_importances
                        Spark ML - Feature Importance for Tree Models
ml_fpgrowth             Frequent Pattern Mining - FPGrowth
ml_gaussian_mixture     Spark ML - Gaussian Mixture clustering.
ml_gbt_classifier       Spark ML - Gradient Boosted Trees
ml_generalized_linear_regression
                        Spark ML - Generalized Linear Regression
ml_glm_tidiers          Tidying methods for Spark ML linear models
ml_isotonic_regression
                        Spark ML - Isotonic Regression
ml_isotonic_regression_tidiers
                        Tidying methods for Spark ML Isotonic
                        Regression
ml_kmeans               Spark ML - K-Means Clustering
ml_kmeans_cluster_eval
                        Evaluate a K-mean clustering
ml_lda                  Spark ML - Latent Dirichlet Allocation
ml_lda_tidiers          Tidying methods for Spark ML LDA models
ml_linear_regression    Spark ML - Linear Regression
ml_linear_svc           Spark ML - LinearSVC
ml_linear_svc_tidiers   Tidying methods for Spark ML linear svc
ml_logistic_regression
                        Spark ML - Logistic Regression
ml_logistic_regression_tidiers
                        Tidying methods for Spark ML Logistic
                        Regression
ml_metrics_binary       Extracts metrics from a fitted table
ml_metrics_multiclass   Extracts metrics from a fitted table
ml_metrics_regression   Extracts metrics from a fitted table
ml_model_data           Extracts data associated with a Spark ML model
ml_multilayer_perceptron_classifier
                        Spark ML - Multilayer Perceptron
ml_multilayer_perceptron_tidiers
                        Tidying methods for Spark ML MLP
ml_naive_bayes          Spark ML - Naive-Bayes
ml_naive_bayes_tidiers
                        Tidying methods for Spark ML Naive Bayes
ml_one_vs_rest          Spark ML - OneVsRest
ml_pca_tidiers          Tidying methods for Spark ML Principal
                        Component Analysis
ml_pipeline             Spark ML - Pipelines
ml_power_iteration      Spark ML - Power Iteration Clustering
ml_prefixspan           Frequent Pattern Mining - PrefixSpan
ml_random_forest_classifier
                        Spark ML - Random Forest
ml_stage                Spark ML - Pipeline stage extraction
ml_summary              Spark ML - Extraction of summary metrics
ml_survival_regression_tidiers
                        Tidying methods for Spark ML Survival
                        Regression
ml_tree_tidiers         Tidying methods for Spark ML tree models
ml_uid                  Spark ML - UID
ml_unsupervised_tidiers
                        Tidying methods for Spark ML unsupervised
                        models
mutate                  Mutate
na.replace              Replace Missing Values in Objects
nest                    Nest
pivot_longer            Pivot longer
pivot_wider             Pivot wider
random_string           Random string generation
reactiveSpark           Reactive spark reader
registerDoSpark         Register a Parallel Backend
register_extension      Register a Package that Implements a Spark
                        Extension
replace_na              Replace NA
right_join              Right join
sdf-saveload            Save / Load a Spark DataFrame
sdf-transform-methods   Spark ML - Transform, fit, and predict methods
                        (sdf_ interface)
sdf_along               Create DataFrame for along Object
sdf_bind                Bind multiple Spark DataFrames by row and
                        column
sdf_broadcast           Broadcast hint
sdf_checkpoint          Checkpoint a Spark DataFrame
sdf_coalesce            Coalesces a Spark DataFrame
sdf_collect             Collect a Spark DataFrame into R.
sdf_copy_to             Copy an Object into Spark
sdf_crosstab            Cross Tabulation
sdf_debug_string        Debug Info for Spark DataFrame
sdf_describe            Compute summary statistics for columns of a
                        data frame
sdf_dim                 Support for Dimension Operations
sdf_distinct            Invoke distinct on a Spark DataFrame
sdf_drop_duplicates     Remove duplicates from a Spark DataFrame
sdf_expand_grid         Create a Spark dataframe containing all
                        combinations of inputs
sdf_from_avro           Convert column(s) from avro format
sdf_is_streaming        Spark DataFrame is Streaming
sdf_last_index          Returns the last index of a Spark DataFrame
sdf_len                 Create DataFrame for Length
sdf_num_partitions      Gets number of partitions of a Spark DataFrame
sdf_partition_sizes     Compute the number of records within each
                        partition of a Spark DataFrame
sdf_persist             Persist a Spark DataFrame
sdf_pivot               Pivot a Spark DataFrame
sdf_project             Project features onto principal components
sdf_quantile            Compute (Approximate) Quantiles with a Spark
                        DataFrame
sdf_random_split        Partition a Spark Dataframe
sdf_rbeta               Generate random samples from a Beta
                        distribution
sdf_rbinom              Generate random samples from a binomial
                        distribution
sdf_rcauchy             Generate random samples from a Cauchy
                        distribution
sdf_rchisq              Generate random samples from a chi-squared
                        distribution
sdf_read_column         Read a Column from a Spark DataFrame
sdf_register            Register a Spark DataFrame
sdf_repartition         Repartition a Spark DataFrame
sdf_residuals.ml_model_generalized_linear_regression
                        Model Residuals
sdf_rexp                Generate random samples from an exponential
                        distribution
sdf_rgamma              Generate random samples from a Gamma
                        distribution
sdf_rgeom               Generate random samples from a geometric
                        distribution
sdf_rhyper              Generate random samples from a hypergeometric
                        distribution
sdf_rlnorm              Generate random samples from a log normal
                        distribution
sdf_rnorm               Generate random samples from the standard
                        normal distribution
sdf_rpois               Generate random samples from a Poisson
                        distribution
sdf_rt                  Generate random samples from a t-distribution
sdf_runif               Generate random samples from the uniform
                        distribution U(0, 1).
sdf_rweibull            Generate random samples from a Weibull
                        distribution.
sdf_sample              Randomly Sample Rows from a Spark DataFrame
sdf_schema              Read the Schema of a Spark DataFrame
sdf_separate_column     Separate a Vector Column into Scalar Columns
sdf_seq                 Create DataFrame for Range
sdf_sort                Sort a Spark DataFrame
sdf_sql                 Spark DataFrame from SQL
sdf_to_avro             Convert column(s) to avro format
sdf_unnest_longer       Unnest longer
sdf_unnest_wider        Unnest wider
sdf_weighted_sample     Perform Weighted Random Sampling on a Spark
                        DataFrame
sdf_with_sequential_id
                        Add a Sequential ID Column to a Spark DataFrame
sdf_with_unique_id      Add a Unique ID Column to a Spark DataFrame
select                  Select
separate                Separate
spark-api               Access the Spark API
spark-connections       Manage Spark Connections
spark_adaptive_query_execution
                        Retrieves or sets status of Spark AQE
spark_advisory_shuffle_partition_size
                        Retrieves or sets advisory size of the shuffle
                        partition
spark_apply             Apply an R Function in Spark
spark_apply_bundle      Create Bundle for Spark Apply
spark_apply_log         Log Writer for Spark Apply
spark_auto_broadcast_join_threshold
                        Retrieves or sets the auto broadcast join
                        threshold
spark_coalesce_initial_num_partitions
                        Retrieves or sets initial number of shuffle
                        partitions before coalescing
spark_coalesce_min_num_partitions
                        Retrieves or sets the minimum number of shuffle
                        partitions after coalescing
spark_coalesce_shuffle_partitions
                        Retrieves or sets whether coalescing contiguous
                        shuffle partitions is enabled
spark_compilation_spec
                        Define a Spark Compilation Specification
spark_config            Read Spark Configuration
spark_config_kubernetes
                        Kubernetes Configuration
spark_config_settings   Retrieve Available Settings
spark_connect_method    Function that negotiates the connection with
                        the Spark back-end
spark_connection        Retrieve the Spark Connection Associated with
                        an R Object
spark_connection-class
                        spark_connection class
spark_connection_find   Find Spark Connection
spark_context_config    Runtime configuration interface for the Spark
                        Context.
spark_dataframe         Retrieve a Spark DataFrame
spark_default_compilation_spec
                        Default Compilation Specification for Spark
                        Extensions
spark_dependency        Define a Spark dependency
spark_dependency_fallback
                        Fallback to Spark Dependency
spark_extension         Create Spark Extension
spark_home_set          Set the SPARK_HOME environment variable
spark_ide_connection_open
                        Set of functions to provide integration with
                        the RStudio IDE
spark_insert_table      Inserts a Spark DataFrame into a Spark table
spark_install           Download and install various versions of Spark
spark_integ_test_skip   It lets the package know if it should test a
                        particular functionality or not
spark_jobj              Retrieve a Spark JVM Object Reference
spark_jobj-class        spark_jobj class
spark_last_error        Surfaces the last error from Spark captured by
                        internal 'spark_error' function
spark_load_table        Reads from a Spark Table into a Spark
                        DataFrame.
spark_log               View Entries in the Spark Log
spark_read              Read file(s) into a Spark DataFrame using a
                        custom reader
spark_read_avro         Read Apache Avro data into a Spark DataFrame.
spark_read_binary       Read binary data into a Spark DataFrame.
spark_read_csv          Read a CSV file into a Spark DataFrame
spark_read_delta        Read from Delta Lake into a Spark DataFrame.
spark_read_image        Read image data into a Spark DataFrame.
spark_read_jdbc         Read from JDBC connection into a Spark
                        DataFrame.
spark_read_json         Read a JSON file into a Spark DataFrame
spark_read_libsvm       Read libsvm file into a Spark DataFrame.
spark_read_orc          Read a ORC file into a Spark DataFrame
spark_read_parquet      Read a Parquet file into a Spark DataFrame
spark_read_source       Read from a generic source into a Spark
                        DataFrame.
spark_read_table        Reads from a Spark Table into a Spark
                        DataFrame.
spark_read_text         Read a Text file into a Spark DataFrame
spark_save_table        Saves a Spark DataFrame as a Spark table
spark_session_config    Runtime configuration interface for the Spark
                        Session
spark_statistical_routines
                        Generate random samples from some distribution
spark_table_name        Generate a Table Name from Expression
spark_version           Get the Spark Version Associated with a Spark
                        Connection
spark_version_from_home
                        Get the Spark Version Associated with a Spark
                        Installation
spark_web               Open the Spark web interface
spark_write             Write Spark DataFrame to file using a custom
                        writer
spark_write_avro        Serialize a Spark DataFrame into Apache Avro
                        format
spark_write_csv         Write a Spark DataFrame to a CSV
spark_write_delta       Writes a Spark DataFrame into Delta Lake
spark_write_jdbc        Writes a Spark DataFrame into a JDBC table
spark_write_json        Write a Spark DataFrame to a JSON file
spark_write_orc         Write a Spark DataFrame to a ORC file
spark_write_parquet     Write a Spark DataFrame to a Parquet file
spark_write_rds         Write Spark DataFrame to RDS files
spark_write_source      Writes a Spark DataFrame into a generic source
spark_write_table       Writes a Spark DataFrame into a Spark table
spark_write_text        Write a Spark DataFrame to a Text file
sparklyr_get_backend_port
                        Return the port number of a 'sparklyr' backend.
src_databases           Show database list
stream_find             Find Stream
stream_generate_test    Generate Test Stream
stream_id               Spark Stream's Identifier
stream_lag              Apply lag function to columns of a Spark
                        Streaming DataFrame
stream_name             Spark Stream's Name
stream_read_csv         Read files created by the stream
stream_render           Render Stream
stream_stats            Stream Statistics
stream_stop             Stops a Spark Stream
stream_trigger_continuous
                        Spark Stream Continuous Trigger
stream_trigger_interval
                        Spark Stream Interval Trigger
stream_view             View Stream
stream_watermark        Watermark Stream
stream_write_csv        Write files to the stream
stream_write_memory     Write Memory Stream
stream_write_table      Write Stream to Table
tbl_cache               Cache a Spark Table
tbl_change_db           Use specific database
tbl_uncache             Uncache a Spark Table
transform_sdf           transform a subset of column(s) in a Spark
                        Dataframe
unite                   Unite
unnest                  Unnest
