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   |======================
   |Connector      | Spark | Solr
  -|http://search.maven.org/#artifactdetails%7Ccom.lucidworks.spark%7Cspark-solr%7C3.4.0%7Cjar[3.4.0]  | 2.2.1 | 7.2.1
  +|http://search.maven.org/#artifactdetails%7Ccom.lucidworks.spark%7Cspark-solr%7C3.5.1%7Cjar[3.5.1]  | 2.3.1 | 7.3.1
  +|http://search.maven.org/#artifactdetails%7Ccom.lucidworks.spark%7Cspark-solr%7C3.4.5%7Cjar[3.4.5]  | 2.2.1 | 7.2.1
   |http://search.maven.org/#artifactdetails%7Ccom.lucidworks.spark%7Cspark-solr%7C3.3.3%7Cjar[3.3.4]  | 2.2.0 | 7.1.0
   |http://search.maven.org/#artifactdetails%7Ccom.lucidworks.spark%7Cspark-solr%7C3.2.2%7Cjar[3.2.2]  | 2.2.0 | 6.6.1
   |http://search.maven.org/#artifactdetails%7Ccom.lucidworks.spark%7Cspark-solr%7C3.2.0%7Cjar[3.2.0]  | 2.2.0 | 6.6.0
  
positive.code: 
  Default: false
  
  ==== sample_seed
  
  The `sample_seed` option allows you to read a random sample of documents from Solr using the specified seed. This option can be useful if you just need to explore the data before performing operations on the full result set. By default, if this option is provided, a 10% sample size is read from Solr, but you can use the `sample_pct` option to control the sample size.
  
  Usage: `option("sample_seed", "5150")`
  
  Default: None
  
  ==== sample_pct
  
  The `sample_pct` option allows you to set the size of a random sample of documents from Solr; use a value between 0 and 1.
  
  Usage: `option("sample_pct", "0.05")`
  
  Default: 0.1
  
  ==== solr.params
  
  The `solr.params` option can be used to specify any arbitrary Solr parameters in the form of a Solr query.
  
  TIP: Don't use this to pass parameters that are covered by other options, such as `fl` (use the `fields` option) or `sort`. This option is strictly intended for parameters that are *NOT* covered by other options.
  
  Usage: `option("solr.params", "fq=userId:[10 TO 1000]")`
  
  
  === Querying Time Series Data
  
  
negative.code: 
  Usage: `option("splits_per_shard", "30")`
  
  Default: default value is calculated automatically based on the number of docs for Solr query
  
  ==== flatten_multivalued
  
  