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package mobvista.dmp.utils.clickhouse
import mobvista.dmp.utils.clickhouse.ClickHouseResultSetExt._
import mobvista.dmp.utils.clickhouse.Utils._
import org.apache.commons.lang3.StringUtils
import org.apache.spark.sql.types._
import ru.yandex.clickhouse.ClickHouseDataSource
import scala.collection.mutable
/**
* @package: mobvista.dmp.utils.clickhouse
* @author: wangjf
* @date: 2019-07-16
* @time: 18:28
* @email: jinfeng.wang@mobvista.com
* @phone: 152-1062-7698
*/
case class DataFrameExt(df: org.apache.spark.sql.DataFrame) extends Serializable {
/**
* @desc execute sql
* @param sql
* @param clusterNameO
* @param ds
*/
def executeSQL(sql: String, clusterNameO: Option[String] = None)(implicit ds: ClickHouseDataSource): Unit = {
val client = ClickHouseClient(clusterNameO)(ds)
clusterNameO match {
case None => client.query(sql)
case Some(x) => client.queryCluster(sql)
}
}
def dropClickHouseDb(dbName: String, clusterNameO: Option[String] = None)
(implicit ds: ClickHouseDataSource) {
val client = ClickHouseClient(clusterNameO)(ds)
clusterNameO match {
case None => client.dropDb(dbName)
case Some(x) => client.dropDbCluster(dbName)
}
}
def dropClickHouseTable(dbName: String, tbName: String, clusterNameO: Option[String] = None)
(implicit ds: ClickHouseDataSource) {
val client = ClickHouseClient(clusterNameO)(ds)
clusterNameO match {
case None => client.dropTable(dbName, tbName)
case Some(x) => client.dropTableCluster(dbName, tbName)
}
}
def createClickHouseDb(dbName: String, clusterNameO: Option[String] = None)
(implicit ds: ClickHouseDataSource) {
val client = ClickHouseClient(clusterNameO)(ds)
clusterNameO match {
case None => client.createDb(dbName)
case Some(x) => client.createDbCluster(dbName)
}
}
def createClickHouseTable(dbName: String, tableName: String, partitionColumnNames: Seq[String], indexColumns: Seq[String], orderColumnNames: Seq[String], clusterNameO: Option[String] = None)
(implicit ds: ClickHouseDataSource) {
val client = ClickHouseClient(clusterNameO)(ds)
val sqlStmt = createClickHouseTableDefinitionSQL(dbName, tableName, partitionColumnNames, indexColumns, orderColumnNames)
clusterNameO match {
case None => client.query(sqlStmt)
case Some(clusterName) =>
// create local table on every node
client.queryCluster(sqlStmt)
// create distrib table (view) on every node
val sqlStmt2 = s"CREATE TABLE IF NOT EXISTS ${dbName}.${tableName}_all AS ${dbName}.${tableName} ENGINE = Distributed($clusterName, $dbName, $tableName, rand());"
client.queryCluster(sqlStmt2)
}
}
/**
* @desc alter table tableName detach partition partition_expr
* @param dbName
* @param tableName
* @param userDefinedPartitionExpr
* @param clusterNameO
* @param ds
*/
def detachPartition(dbName: String, tableName: String, userDefinedPartitionExpr: String, clusterNameO: Option[String] = None)(implicit ds: ClickHouseDataSource) {
val client = ClickHouseClient(clusterNameO)(ds)
/**
* default detach last partition,when userDefinedPartitionExpr is not null,detach userDefinedPartitionExpr
*/
val partitionExpr = if (StringUtils.isBlank(userDefinedPartitionExpr)) {
val lastPartStmt = getLastPartitionSQL(dbName, tableName)
val rs = client.query(lastPartStmt)
val r = rs.map(x => x.getString("partition"))
r.last
} else {
userDefinedPartitionExpr
}
val detachStmt =
s"""
|ALTER TABLE ${dbName}.${tableName} DETACH PARTITION ${partitionExpr}
""".stripMargin
clusterNameO match {
case None => client.query(detachStmt)
case Some(clusterName) =>
// detach partition on every node
client.queryCluster(detachStmt)
}
}
/**
* @desc alter table tableName drop partition partition_expr
* @param dbName
* @param tableName
* @param userDefinedPartitionExpr
* @param clusterNameO
* @param ds
*/
def dropPartition(dbName: String, tableName: String, userDefinedPartitionExpr: String, clusterNameO: Option[String] = None)(implicit ds: ClickHouseDataSource) {
val client = ClickHouseClient(clusterNameO)(ds)
/**
* default drop last partition,when userDefinedPartitionExpr is not null,drop userDefinedPartitionExpr
*/
val partitionExpr = if (StringUtils.isBlank(userDefinedPartitionExpr)) {
val lastPartStmt = getLastPartitionSQL(dbName, tableName)
val rs = client.query(lastPartStmt)
val r = rs.map(x => x.getString("partition"))
r.last
} else {
userDefinedPartitionExpr
}
val dropStmt =
s"""
|ALTER TABLE ${dbName}.${tableName} DROP PARTITION ${partitionExpr}
""".stripMargin
clusterNameO match {
case None => client.query(dropStmt)
case Some(clusterName) =>
// drop partition on every node
client.queryCluster(dropStmt)
}
}
def getLastPartitionSQL(dbName: String, tableName: String): String = {
s"""
|SELECT partition FROM system.parts WHERE database = '${dbName}' AND table = '${tableName}' GROUP BY partition ORDER BY partition DESC LIMIT 1,1
""".stripMargin
}
def saveToClickHouse(dbName: String, tableName: String, partitionVals: Seq[String], partitionColumnNames: Seq[String], clusterNameO: Option[String] = None, batchSize: Int = 100000)
(implicit ds: ClickHouseDataSource) = {
val defaultHost = ds.getHost
val defaultPort = ds.getPort
val (clusterTableName, clickHouseHosts) = clusterNameO match {
case Some(clusterName) =>
// get nodes from cluster
val client = ClickHouseClient(clusterNameO)(ds)
(s"${tableName}_all", client.getClusterNodes())
case None =>
(tableName, Seq(defaultHost))
}
val schema = df.schema
// following code is going to be run on executors
val insertResults = df.rdd.mapPartitions((partition: Iterator[org.apache.spark.sql.Row]) => {
val rnd = scala.util.Random.nextInt(clickHouseHosts.length)
val targetHost = clickHouseHosts(rnd)
val targetHostDs = ClickHouseConnectionFactory.get(targetHost, defaultPort)
targetHostDs.getProperties.setSocketTimeout(120000)
targetHostDs.getProperties.setConnectionTimeout(120000)
// explicit closing
using(targetHostDs.getConnection) { conn =>
val descSql = s"desc $dbName.$tableName"
val descStatement = conn.prepareStatement(descSql)
val results = descStatement.executeQuery()
val columns = results.map(x => x.getString("name")).reverse
val insertStatementSql = generateInsertStatment(schema, dbName, clusterTableName, columns)
val statement = conn.prepareStatement(insertStatementSql)
var totalInsert = 0
var counter = 0
while (partition.hasNext) {
counter += 1
val row = partition.next()
val offSet = partitionColumnNames.size + 1
// create mock date
for (i <- partitionVals.indices) {
if (i == 0) statement.setDate(i + 1, java.sql.Date.valueOf(partitionVals(i))) else statement.setString(i + 1, partitionVals(i))
}
// map fields
schema.foreach { f =>
val fieldName = f.name
val fieldIdx = row.fieldIndex(fieldName)
val fieldVal = row.get(fieldIdx)
if (fieldVal != null) {
val obj = if (fieldVal.isInstanceOf[mutable.WrappedArray[_]]) fieldVal.asInstanceOf[mutable.WrappedArray[_]].array else fieldVal
statement.setObject(fieldIdx + offSet, obj)
} else {
val defVal = defaultNullValue(f.dataType, fieldVal)
statement.setObject(fieldIdx + offSet, defVal)
}
}
statement.addBatch()
if (counter >= batchSize) {
val r = statement.executeBatch()
totalInsert += r.sum
counter = 0
}
} // end: while
if (counter > 0) {
val r = statement.executeBatch()
totalInsert += r.sum
counter = 0
}
// return: Seq((host, insertCount))
List((targetHost, totalInsert)).toIterator
}
}).collect()
// aggr insert results by hosts
insertResults.groupBy(_._1)
.map(x => (x._1, x._2.map(_._2).sum))
}
private def generateInsertStatment(schema: org.apache.spark.sql.types.StructType, dbName: String, tableName: String, columns: Seq[String]) = {
val vals = 1 to columns.length map (i => "?")
s"INSERT INTO $dbName.$tableName (${columns.mkString(",")}) VALUES (${vals.mkString(",")})"
}
private def defaultNullValue(sparkType: org.apache.spark.sql.types.DataType, v: Any) = sparkType match {
case DoubleType => 0
case LongType => 0
case FloatType => 0
case IntegerType => 0
case StringType => null
case BooleanType => false
case _ => null
}
private def createClickHouseTableDefinitionSQL(dbName: String, tableName: String, partitionColumnNames: Seq[String], indexColumns: Seq[String], orderColumnNames: Seq[String]) = {
val header =
s"""
CREATE TABLE IF NOT EXISTS $dbName.$tableName(
"""
var columns: scala.List[String] = scala.List()
var dt = ""
var parts: scala.List[String] = scala.List()
for (i <- partitionColumnNames.indices) {
if (i == 0) {
dt = partitionColumnNames(i)
columns = columns.::(s"${partitionColumnNames(i)} Date")
} else {
parts = parts.::(partitionColumnNames(i))
val timeset = Set("hour", "minute", "second", "hh", "mm", "ss")
val partType = if (timeset.contains(partitionColumnNames(i).toLowerCase)) {
"FixedString(2)"
} else {
"String"
}
columns = columns.::(s"${partitionColumnNames(i)} ${partType}")
}
}
columns = columns.reverse
columns = df.schema.map { f =>
Seq(f.name, sparkType2ClickHouseType(f.dataType)).mkString(" ")
}.toList.:::(columns)
/*
val columns = s"$partitionColumnName Date" :: df.schema.map { f =>
Seq(f.name, sparkType2ClickHouseType(f.dataType)).mkString(" ")
}.toList
*/
val columnsStr = columns.mkString(",\n")
val partitioner =
if (parts.nonEmpty) {
if (orderColumnNames.isEmpty) {
s"""
|) ENGINE = ReplacingMergeTree() PARTITION BY (toYYYYMMDD(${dt}),${parts.mkString(",")}) ORDER BY (${dt},${parts.mkString(",")},${indexColumns.mkString(",")})
""".stripMargin
} else {
s"""
|) ENGINE = ReplacingMergeTree() PARTITION BY (toYYYYMMDD(${dt}),${parts.mkString(",")}) ORDER BY (${dt},${parts.mkString(",")},${orderColumnNames.mkString(",")})
""".stripMargin
}
} else {
if (orderColumnNames.isEmpty) {
s"""
|) ENGINE = ReplacingMergeTree() PARTITION BY toYYYYMMDD(${dt}) ORDER BY (${dt},${indexColumns.mkString(",")})
""".stripMargin
} else {
s"""
|) ENGINE = ReplacingMergeTree() PARTITION BY toYYYYMMDD(${dt}) ORDER BY (${dt},${orderColumnNames.mkString(",")})
""".stripMargin
}
}
Seq(header, columnsStr, partitioner).mkString("\n")
}
private def sparkType2ClickHouseType(sparkType: org.apache.spark.sql.types.DataType) =
sparkType match {
case LongType => "Int64"
case DateType => "Date"
case DoubleType => "Float64"
case FloatType => "Float32"
case IntegerType => "Int32"
case StringType => "String"
case BooleanType => "UInt8"
case ArrayType(IntegerType, true) => "Array(Int32)"
case ArrayType(IntegerType,false) => "Array(Int32)"
case ArrayType(StringType, true) => "Array(String)"
case ArrayType(StringType, false) => "Array(String)"
case _ => "unknown"
println("unknownType ==>> " + sparkType)
}
}