R Interface to Apache Spark

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Documentation for package ‘sparklyr’ version 1.8.6

• DESCRIPTION file.
• Package NEWS.

Help Pages

A C D E F G H I J L M N P R S T U misc

-- A --

augment.ml_model_aft_survival_regression	Tidying methods for Spark ML Survival Regression
augment.ml_model_als	Tidying methods for Spark ML ALS
augment.ml_model_bisecting_kmeans	Tidying methods for Spark ML unsupervised models
augment.ml_model_decision_tree_classification	Tidying methods for Spark ML tree models
augment.ml_model_decision_tree_regression	Tidying methods for Spark ML tree models
augment.ml_model_gaussian_mixture	Tidying methods for Spark ML unsupervised models
augment.ml_model_gbt_classification	Tidying methods for Spark ML tree models
augment.ml_model_gbt_regression	Tidying methods for Spark ML tree models
augment.ml_model_generalized_linear_regression	Tidying methods for Spark ML linear models
augment.ml_model_isotonic_regression	Tidying methods for Spark ML Isotonic Regression
augment.ml_model_kmeans	Tidying methods for Spark ML unsupervised models
augment.ml_model_lda	Tidying methods for Spark ML LDA models
augment.ml_model_linear_regression	Tidying methods for Spark ML linear models
augment.ml_model_linear_svc	Tidying methods for Spark ML linear svc
augment.ml_model_logistic_regression	Tidying methods for Spark ML Logistic Regression
augment.ml_model_multilayer_perceptron_classification	Tidying methods for Spark ML MLP
augment.ml_model_naive_bayes	Tidying methods for Spark ML Naive Bayes
augment.ml_model_pca	Tidying methods for Spark ML Principal Component Analysis
augment.ml_model_random_forest_classification	Tidying methods for Spark ML tree models
augment.ml_model_random_forest_regression	Tidying methods for Spark ML tree models
augment._ml_model_decision_tree_classification	Tidying methods for Spark ML tree models
augment._ml_model_decision_tree_regression	Tidying methods for Spark ML tree models
augment._ml_model_gbt_classification	Tidying methods for Spark ML tree models
augment._ml_model_gbt_regression	Tidying methods for Spark ML tree models
augment._ml_model_linear_regression	Tidying methods for Spark ML linear models
augment._ml_model_logistic_regression	Tidying methods for Spark ML Logistic Regression
augment._ml_model_random_forest_classification	Tidying methods for Spark ML tree models
augment._ml_model_random_forest_regression	Tidying methods for Spark ML tree models

-- C --

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

-- D --

distinct	Distinct
download_scalac	Downloads default Scala Compilers
dplyr_hof	dplyr wrappers for Apache Spark higher order functions

-- E --

ensure

Enforce Specific Structure for R Objects

-- F --

fill	Fill
filter	Filter
find_scalac	Discover the Scala Compiler
ft_binarizer	Feature Transformation - Binarizer (Transformer)
ft_bucketed_random_projection_lsh	Feature Transformation - LSH (Estimator)
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_discrete_cosine_transform	Feature Transformation - Discrete Cosine Transform (DCT) (Transformer)
ft_dplyr_transformer	Feature Transformation - SQLTransformer
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_minhash_lsh	Feature Transformation - LSH (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_regex_tokenizer	Feature Transformation - RegexTokenizer (Transformer)
ft_robust_scaler	Feature Transformation - RobustScaler (Estimator)
ft_r_formula	Feature Transformation - RFormula (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_string_indexer_model	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
full_join.tbl_spark	Join Spark tbls.

-- G --

generic_call_interface	Generic Call Interface
get_spark_sql_catalog_implementation	Retrieve the Spark connection's SQL catalog implementation property
glance.ml_model_aft_survival_regression	Tidying methods for Spark ML Survival Regression
glance.ml_model_als	Tidying methods for Spark ML ALS
glance.ml_model_bisecting_kmeans	Tidying methods for Spark ML unsupervised models
glance.ml_model_decision_tree_classification	Tidying methods for Spark ML tree models
glance.ml_model_decision_tree_regression	Tidying methods for Spark ML tree models
glance.ml_model_gaussian_mixture	Tidying methods for Spark ML unsupervised models
glance.ml_model_gbt_classification	Tidying methods for Spark ML tree models
glance.ml_model_gbt_regression	Tidying methods for Spark ML tree models
glance.ml_model_generalized_linear_regression	Tidying methods for Spark ML linear models
glance.ml_model_isotonic_regression	Tidying methods for Spark ML Isotonic Regression
glance.ml_model_kmeans	Tidying methods for Spark ML unsupervised models
glance.ml_model_lda	Tidying methods for Spark ML LDA models
glance.ml_model_linear_regression	Tidying methods for Spark ML linear models
glance.ml_model_linear_svc	Tidying methods for Spark ML linear svc
glance.ml_model_logistic_regression	Tidying methods for Spark ML Logistic Regression
glance.ml_model_multilayer_perceptron_classification	Tidying methods for Spark ML MLP
glance.ml_model_naive_bayes	Tidying methods for Spark ML Naive Bayes
glance.ml_model_pca	Tidying methods for Spark ML Principal Component Analysis
glance.ml_model_random_forest_classification	Tidying methods for Spark ML tree models
glance.ml_model_random_forest_regression	Tidying methods for Spark ML tree models

-- H --

hive_context	Access the Spark API
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

-- I --

inner_join	Inner join
inner_join.tbl_spark	Join Spark tbls.
invoke	Invoke a Method on a JVM Object
invoke_new	Invoke a Method on a JVM Object
invoke_static	Invoke a Method on a JVM Object
is_ml_estimator	Spark ML - Transform, fit, and predict methods (ml_ interface)
is_ml_transformer	Spark ML - Transform, fit, and predict methods (ml_ interface)

-- J --

jarray	Instantiate a Java array with a specific element type.
java_context	Access the Spark API
jfloat	Instantiate a Java float type.
jfloat_array	Instantiate an Array[Float].
join.tbl_spark	Join Spark tbls.
j_invoke	Invoke a Java function.
j_invoke_new	Invoke a Java function.
j_invoke_static	Invoke a Java function.

-- L --

left_join	Left join
left_join.tbl_spark	Join Spark tbls.
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
livy_service_stop	Start Livy

-- M --

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_approx_nearest_neighbors	Utility functions for LSH models
ml_approx_similarity_join	Utility functions for LSH models
ml_association_rules	Frequent Pattern Mining - FPGrowth
ml_binary_classification_eval	Spark ML - Evaluators
ml_binary_classification_evaluator	Spark ML - Evaluators
ml_bisecting_kmeans	Spark ML - Bisecting K-Means Clustering
ml_chisquare_test	Chi-square hypothesis testing for categorical data.
ml_classification_eval	Spark ML - Evaluators
ml_clustering_evaluator	Spark ML - Clustering Evaluator
ml_compute_cost	Spark ML - K-Means Clustering
ml_compute_silhouette_measure	Spark ML - K-Means Clustering
ml_corr	Compute correlation matrix
ml_cross_validator	Spark ML - Tuning
ml_decision_tree	Spark ML - Decision Trees
ml_decision_tree_classifier	Spark ML - Decision Trees
ml_decision_tree_regressor	Spark ML - Decision Trees
ml_default_stop_words	Default stop words
ml_describe_topics	Spark ML - Latent Dirichlet Allocation
ml_evaluate	Evaluate the Model on a Validation Set
ml_evaluate.ml_evaluator	Evaluate the Model on a Validation Set
ml_evaluate.ml_generalized_linear_regression_model	Evaluate the Model on a Validation Set
ml_evaluate.ml_linear_regression_model	Evaluate the Model on a Validation Set
ml_evaluate.ml_logistic_regression_model	Evaluate the Model on a Validation Set
ml_evaluate.ml_model_classification	Evaluate the Model on a Validation Set
ml_evaluate.ml_model_clustering	Evaluate the Model on a Validation Set
ml_evaluate.ml_model_generalized_linear_regression	Evaluate the Model on a Validation Set
ml_evaluate.ml_model_linear_regression	Evaluate the Model on a Validation Set
ml_evaluate.ml_model_logistic_regression	Evaluate the Model on a Validation Set
ml_evaluator	Spark ML - Evaluators
ml_feature_importances	Spark ML - Feature Importance for Tree Models
ml_find_synonyms	Feature Transformation - Word2Vec (Estimator)
ml_fit	Spark ML - Transform, fit, and predict methods (ml_ interface)
ml_fit.default	Spark ML - Transform, fit, and predict methods (ml_ interface)
ml_fit_and_transform	Spark ML - Transform, fit, and predict methods (ml_ interface)
ml_fpgrowth	Frequent Pattern Mining - FPGrowth
ml_freq_itemsets	Frequent Pattern Mining - FPGrowth
ml_freq_seq_patterns	Frequent Pattern Mining - PrefixSpan
ml_gaussian_mixture	Spark ML - Gaussian Mixture clustering.
ml_gbt_classifier	Spark ML - Gradient Boosted Trees
ml_gbt_regressor	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_gradient_boosted_trees	Spark ML - Gradient Boosted Trees
ml_isotonic_regression	Spark ML - Isotonic Regression
ml_isotonic_regression_tidiers	Tidying methods for Spark ML Isotonic Regression
ml_is_set	Spark ML - ML Params
ml_kmeans	Spark ML - K-Means Clustering
ml_kmeans_cluster_eval	Evaluate a K-mean clustering
ml_labels	Feature Transformation - StringIndexer (Estimator)
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_load	Spark ML - Model Persistence
ml_logistic_regression	Spark ML - Logistic Regression
ml_logistic_regression_tidiers	Tidying methods for Spark ML Logistic Regression
ml_log_likelihood	Spark ML - Latent Dirichlet Allocation
ml_log_perplexity	Spark ML - Latent Dirichlet Allocation
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_multiclass_classification_evaluator	Spark ML - Evaluators
ml_multilayer_perceptron	Spark ML - Multilayer Perceptron
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_param	Spark ML - ML Params
ml_params	Spark ML - ML Params
ml_param_map	Spark ML - ML Params
ml_pca	Feature Transformation - PCA (Estimator)
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_predict	Spark ML - Transform, fit, and predict methods (ml_ interface)
ml_predict.ml_model_classification	Spark ML - Transform, fit, and predict methods (ml_ interface)
ml_prefixspan	Frequent Pattern Mining - PrefixSpan
ml_random_forest	Spark ML - Random Forest
ml_random_forest_classifier	Spark ML - Random Forest
ml_random_forest_regressor	Spark ML - Random Forest
ml_recommend	Spark ML - ALS
ml_regression_evaluator	Spark ML - Evaluators
ml_save	Spark ML - Model Persistence
ml_save.ml_model	Spark ML - Model Persistence
ml_stage	Spark ML - Pipeline stage extraction
ml_stages	Spark ML - Pipeline stage extraction
ml_sub_models	Spark ML - Tuning
ml_summary	Spark ML - Extraction of summary metrics
ml_survival_regression	Spark ML - Survival Regression
ml_survival_regression_tidiers	Tidying methods for Spark ML Survival Regression
ml_topics_matrix	Spark ML - Latent Dirichlet Allocation
ml_train_validation_split	Spark ML - Tuning
ml_transform	Spark ML - Transform, fit, and predict methods (ml_ interface)
ml_tree_feature_importance	Spark ML - Feature Importance for Tree Models
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
ml_validation_metrics	Spark ML - Tuning
ml_vocabulary	Feature Transformation - CountVectorizer (Estimator)
mutate	Mutate

-- N --

na.replace	Replace Missing Values in Objects
nest	Nest

-- P --

pivot_longer	Pivot longer
pivot_wider	Pivot wider

-- R --

random_string	Random string generation
reactiveSpark	Reactive spark reader
registerDoSpark	Register a Parallel Backend
registered_extensions	Register a Package that Implements a Spark Extension
register_extension	Register a Package that Implements a Spark Extension
replace_na	Replace NA
right_join	Right join
right_join.tbl_spark	Join Spark tbls.

-- S --

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_bind_cols	Bind multiple Spark DataFrames by row and column
sdf_bind_rows	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_fit	Spark ML - Transform, fit, and predict methods (sdf_ interface)
sdf_fit_and_transform	Spark ML - Transform, fit, and predict methods (sdf_ interface)
sdf_from_avro	Convert column(s) from avro format
sdf_import	Copy an Object into Spark
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_load_parquet	Save / Load a Spark DataFrame
sdf_load_table	Save / Load a Spark DataFrame
sdf_ncol	Support for Dimension Operations
sdf_nrow	Support for Dimension Operations
sdf_num_partitions	Gets number of partitions of a Spark DataFrame
sdf_partition	Partition 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_predict	Spark ML - Transform, fit, and predict methods (sdf_ interface)
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	Model Residuals
sdf_residuals.ml_model_generalized_linear_regression	Model Residuals
sdf_residuals.ml_model_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_save_parquet	Save / Load a Spark DataFrame
sdf_save_table	Save / Load 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_transform	Spark ML - Transform, fit, and predict methods (sdf_ interface)
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
sparklyr_get_backend_port	Return the port number of a 'sparklyr' backend.
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_available_versions	Download and install various versions of Spark
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	Manage Spark Connections
spark_connection	Retrieve the Spark Connection Associated with an R Object
spark_connection-class	spark_connection class
spark_connection_find	Find Spark Connection
spark_connection_is_open	Manage Spark Connections
spark_connect_method	Function that negotiates the connection with the Spark back-end
spark_context	Access the Spark API
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_disconnect	Manage Spark Connections
spark_disconnect_all	Manage Spark Connections
spark_extension	Create Spark Extension
spark_get_checkpoint_dir	Set/Get Spark checkpoint directory
spark_home_set	Set the SPARK_HOME environment variable
spark_ide_columns	Set of functions to provide integration with the RStudio IDE
spark_ide_connection_actions	Set of functions to provide integration with the RStudio IDE
spark_ide_connection_closed	Set of functions to provide integration with the RStudio IDE
spark_ide_connection_open	Set of functions to provide integration with the RStudio IDE
spark_ide_connection_updated	Set of functions to provide integration with the RStudio IDE
spark_ide_objects	Set of functions to provide integration with the RStudio IDE
spark_ide_preview	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_installed_versions	Download and install various versions of Spark
spark_install_dir	Download and install various versions of Spark
spark_install_tar	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	Access the Spark API
spark_session_config	Runtime configuration interface for the Spark Session
spark_set_checkpoint_dir	Set/Get Spark checkpoint directory
spark_statistical_routines	Generate random samples from some distribution
spark_submit	Manage Spark Connections
spark_table_name	Generate a Table Name from Expression
spark_uninstall	Download and install various versions of Spark
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
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_cloudfiles	Read files created by the stream
stream_read_csv	Read files created by the stream
stream_read_delta	Read files created by the stream
stream_read_json	Read files created by the stream
stream_read_kafka	Read files created by the stream
stream_read_orc	Read files created by the stream
stream_read_parquet	Read files created by the stream
stream_read_socket	Read files created by the stream
stream_read_table	Read files created by the stream
stream_read_text	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_console	Write files to the stream
stream_write_csv	Write files to the stream
stream_write_delta	Write files to the stream
stream_write_json	Write files to the stream
stream_write_kafka	Write files to the stream
stream_write_memory	Write Memory Stream
stream_write_orc	Write files to the stream
stream_write_parquet	Write files to the stream
stream_write_table	Write Stream to Table
stream_write_text	Write files to the stream

-- T --

tbl_cache	Cache a Spark Table
tbl_change_db	Use specific database
tbl_uncache	Uncache a Spark Table
tidy.ml_model_aft_survival_regression	Tidying methods for Spark ML Survival Regression
tidy.ml_model_als	Tidying methods for Spark ML ALS
tidy.ml_model_bisecting_kmeans	Tidying methods for Spark ML unsupervised models
tidy.ml_model_decision_tree_classification	Tidying methods for Spark ML tree models
tidy.ml_model_decision_tree_regression	Tidying methods for Spark ML tree models
tidy.ml_model_gaussian_mixture	Tidying methods for Spark ML unsupervised models
tidy.ml_model_gbt_classification	Tidying methods for Spark ML tree models
tidy.ml_model_gbt_regression	Tidying methods for Spark ML tree models
tidy.ml_model_generalized_linear_regression	Tidying methods for Spark ML linear models
tidy.ml_model_isotonic_regression	Tidying methods for Spark ML Isotonic Regression
tidy.ml_model_kmeans	Tidying methods for Spark ML unsupervised models
tidy.ml_model_lda	Tidying methods for Spark ML LDA models
tidy.ml_model_linear_regression	Tidying methods for Spark ML linear models
tidy.ml_model_linear_svc	Tidying methods for Spark ML linear svc
tidy.ml_model_logistic_regression	Tidying methods for Spark ML Logistic Regression
tidy.ml_model_multilayer_perceptron_classification	Tidying methods for Spark ML MLP
tidy.ml_model_naive_bayes	Tidying methods for Spark ML Naive Bayes
tidy.ml_model_pca	Tidying methods for Spark ML Principal Component Analysis
tidy.ml_model_random_forest_classification	Tidying methods for Spark ML tree models
tidy.ml_model_random_forest_regression	Tidying methods for Spark ML tree models
transform_sdf	transform a subset of column(s) in a Spark Dataframe

-- U --

unite	Unite
unnest	Unnest

-- misc --

%->%	Infix operator for composing a lambda expression
[.tbl_spark	Subsetting operator for Spark dataframe